Cerebral Perfusion Studies

Number: 0663


Aetna considers cerebral computed tomography (CT) perfusion studies medically necessary as a supplement to non-contrast head CT or when magnetic resonance imaging (MRI) is unavailable or contraindicated for the evaluation of acute cerebral ischemia.

Aetna considers cerebral CT perfusion studies experimental and investigational for the following indications because there is inadequate scientific evidence to support its use for these indications (not an all-inclusive list):

  • Evaluation of vasospasm and delayed cerebral ischemia following aneurysmal subarachnoid hemorrhage
  • Evaluation of cerebral gliomas
  • Evaluation of cerebral vasospasm
  • Evaluation of chronic cerebral ischemia
  • Evaluation of head trauma
  • Evaluation of herpes simplex virus encephalitis
  • For monitoring of Moyamoya disease
  • For triaging persons with stroke for thrombolytic therapy
  • For use in the balloon occlusion test
  • For use in vascular neurosurgery.

Aetna considers cerebral MRI perfusion studies (diffusion-weighted or perfusion-weighted) medically necessary for the evaluation of acute cerebral ischemia.

Aetna considers cerebral MRI perfusion studies experimental and investigational for for the following indications (not an all-inclusive list) because its effectiveness for these indications has not been established

  • Assessment of response to angiogenesis inhibitors in persons with glioblastomas
  • Evaluation of brain arterio-venous malformations
  • Evaluation of gliomas/glioblastomas
  • Evaluation of idiopathic normal pressure hydrocephalus
  • Evaluation of persistent pain
  • Evaluation of traumatic brain injury
  • Prognostication of obstructive sleep apnea
  • Use as a putative biomarker of Parkinson’s disease

Computed Tomography Perfusion Studies:

Computed tomography (CT) perfusion imaging provides a quantitative measurement of regional cerebral blood flow.  A perfusion CT study involves sequential acquisition of CT sections during intravenous administration of an iodinated contrast agent.  Analysis of the results allows the physician to calculate the regional cerebral blood volume, the blood mean transit time through the cerebral capillaries, and the regional cerebral blood flow.

Currently, non-contrast computed tomography is used to detect intracerebral hemorrhage in stroke patients who are being considered for thrombolytic therapy.

Computed tomography perfusion imaging has been proposed to be used primarily as a method of evaluating patients suspected of having an acute stroke whenever thrombolysis is considered.  Computed tomography perfusion imaging may provide information about the presence and site of vascular occlusion, the presence and extent of ischemia, and about tissue viability.  This information may help the clinician determine whether thrombolysis is appropriate.

Potential advantages of CT perfusion imaging are that it can be performed using standard CT scanners, which are more widely available and less expensive than magnetic resonance imaging (MRI), and it is less invasive than CT angiography.  Computed tomography perfusion imaging can be performed rapidly, and involves injection of a relatively small amount of contrast agent.

Current literature on CT perfusion imaging has focused on its feasibility and technical capabilities.  Prospective clinical studies are needed to determine the clinical value of CT perfusion imaging over standard non-contrast computed tomography in the assessment of patients with symptoms suggestive of acute stroke, and in the triage of patients in whom thrombolytic therapy is contemplated.

The Council on Cardiovascular Radiology of the American Heart Association provided guidelines and recommendations for perfusion imaging in cerebral ischemia (Latchaw et al, 2003).  It stated that quantitative CT perfusion may possibly be useful to differentiate between reversibly and irreversibly ischemic tissues in patients with acute stroke.  However, large prospective and appropriately blinded studies are needed to ascertain the value of this technique.  There are no data regarding the ability of this technique to predict the potential for hemorrhage following thrombolysis, as there is for the diffusible tracer techniques.  Furthermore, no recommendation can be made for the use of CT perfusion in patients with chronic ischemia, vasospasm, head trauma, or as part of the balloon occlusion test, the traditional method for identifying patients at risk for stroke.

In a review on imaging viable brain tissue with CT scan during acute stroke, Meuli (2004) stated that perfusion CT is now ready to be used in clinical trials as a decision-making tool to tailor more precisely the thrombolytic therapy to the individual patient.

Ding et al (2006) simultaneously examined regional cerebral blood volume (rCBV) and permeability surfaces (rPS) in glioma patients to determine their correlation with histological grade using CT perfusion imaging.  A total of 22 patients with gliomas underwent multi-slice CT perfusion imaging pre-operatively.  Low-grade and high-grade groups were categorized corresponding to World Health Organization (WHO) grade II gliomas and WHO grade III or IV gliomas, respectively, as determined by histopathological examination.  Regional cerebral blood volume and rPSs were obtained from regions of maximal abnormality in tumor parenchyma on CBV and PS color perfusion maps.  Perfusion parameters were compared using the Kruskal-Wallis test in order to evaluate the differences in relation to tumor grade.  The Pearson coefficients of rCBV and rPS for each tumor grade were assessed using SPSS 13.0 software.  Regional cerebral blood volume and rPS provided significant P-value in differentiating glioma grade (low-grade gliomas 3.28 +/- 2.01 versus 2.12 +/- 3.19 ml/100 g/min, high-grade gliomas 8.87 +/- 4.63 versus 12.11 +/- 3.18 ml/100 g/min, p < 0.05).  Receiver operating characteristic (ROC) curves revealed better specificity and sensitivity in PS than in CBV for glioma grade.  A significant correlation between rCBV and rPS was observed in high-grade gliomas (r = 0.684).  Regional cerebral blood volume in oligodendrogliomas were higher than in other low-grade gliomas, whereas their rPS values did not show a parallel difference.  The authors concluded that perfusion CT provides useful information for glioma grading and might have the potential to significantly impact clinical management and follow-up of cerebral gliomas.

Marco de Lucas et al (2006) noted that an early diagnosis is crucial in herpes simplex virus encephalitis patients in order to institute acyclovir therapy and reduce mortality rates.  Magnetic resonance imaging is considered the gold standard for evaluation of these patients, but is frequently not available in the emergency setting.  These investigators reported the first case of a CT perfusion study that helped to establish a prompt diagnosis revealing abnormal increase of blood flow in the affected temporo-parietal cortex at an early stage.

Sajjad (2008) noted that cerebral perfusion imaging allows blood flow to the cerebral tissue to be imaged.  It has been used in the management of acute ischemic stroke.  Using either CT or MRI techniques, perfusion maps can be created in a short enough time to allow their routine use in clinical practice.  Perfusion imaging enables physicians to directly estimate the tissue at risk, which can be salvaged with reperfusion, enabling appropriate patient selection.  However, perfusion imaging has its limitations that need to be kept in mind when these studies are interpreted.  Although perfusion imaging is widely used, the evidence to support its routine use in acute stroke is somewhat sparse and therefore there are no clear cut guidelines as to its role in this context.

Parsons (2008) stated that combining perfusion CT with CT angiography (CTA) and non-contrast CT (NCCT) provides much more information about acute stroke pathophysiology than NCCT alone.  This multi-modal CT approach adds only a few minutes to the standard NCCT and is more accessible and rapidly available in most centers than MRI.  Perfusion CT can distinguish between infarct core and penumbra, which is not possible with NCCT alone.  A small infarct core and large penumbra, plus the presence of vessel occlusion on CTA may be an ideal imaging "target" for thrombolysis.  To date, multi-modal CT has predominantly been assessed in hemispheric stroke due to its limited spatial coverage.  This will become less of an issue as slice coverage continues to improve with new generation CT scanners.  Apart from the concepts above, more specific perfusion CT and CTA criteria that increase (or decrease) probability of response to thrombolytic treatment are yet to be determined. Nonetheless, perfusion CT thus has the potential to improve patient selection for thrombolysis.

Provenzale et al (2008) performed a meta-analysis on perfusion imaging to determine its role in clinical decision making for patients with acute cerebral ischemia.  These investigators searched Medline by using a strategy that combined terms related to perfusion imaging with terms related to acute cerebral ischemia and brain tumors.  They identified 658 perfusion imaging articles and classified them according to the clinical usefulness criteria of Thornbury and Fryback; and found 59 articles with promise of indicating usefulness in clinical decision making.  These researchers devised and implemented a clinical decision-making scoring scale more appropriate to the topic of acute cerebral ischemia.  Several articles provided important insights into the physiological processes underlying acute cerebral ischemia by correlation of initial perfusion imaging deficits with clinical outcome or ultimate size of the infarct.  However, most articles showed relatively low relevance to influencing decisions in implementing treatment.  The authors concluded that most perfusion imaging articles were oriented toward important topics such as optimization of imaging parameters, determination of ischemia penumbra, and prediction of outcome.  However, information as to the role of perfusion imaging in clinical decision-making is lacking.  They stated that studies are needed to demonstrate that use of perfusion imaging changes outcome of patients with acute cerebral ischemia.

Wang et al (2010) noted that CT perfusion (CTP) mapping has been reported to be useful in the differentiation of the infarct core and ischemic penumbra.  However, the value of the CTP source imaging (CTP-SI) during the arterial and venous phases has not been fully investigated.  These researchers developed a CTP-SI methodology for acute ischemic stroke and compared its effectiveness with cerebral blood flow (CBF) and cerebral blood volume (CBV) in predicting infarct core and penumbra.  Computed tomographic examinations, including NCCT, CTP, and CTA, were performed in 42 patients with symptoms of stroke for less than 9 hours.  The Alberta Stroke Program Early CT Score (ASPECTS) was analyzed on the arterial phase CTP-SI and venous phase CTP-SI and then compared with the ASPECTS on CBF and CBV for effectiveness assessment.  The ASPECTS on the arterial phase CTP-SI was closely correlated with the ASPECTS on CBF, the Pearson correlation coefficient was 0.88 (p < 0.001), and the concordance correlation coefficient was 0.7603 (95 % confidence interval [CI]: 0.6331 to 0.8476).  The ASPECTS on the venous phase CTP-SI revealed a significant correlation with the ASPECTS on CBV, the Pearson correlation coefficient was 0.92 (p < 0.001), and the concordance correlation coefficient was 0.8880 (95 % CI: 0.8148 to 0.9334).  Significant differences were shown between the arterial phase CTP-SI/ venous phase CTP-SI (p < 0.001) and CBF/CBV (p < 0.001).  The authors concluded that this study provides preliminary evidence that the arterial phase and venous phase CTP-SI mis-match model could possibly be applied to ischemic regions in the acute stage of stroke to determine penumbra and infarct core.

In a prospective, pilot series, Schichor et al (2010) analyzed the feasibility of intra-operative CTA and brain perfusion mapping using an up-to-date multi-slice CT scanner.  A total of 10 patients with unruptured aneurysms underwent intra-operative scanning with a 40-slice sliding-gantry CT scanner.  Multi-modal CT acquisition was obtained in 8 patients consisting of dynamic CTP scanning followed by intra-cranial CTA.  Two of these patients underwent CTA and CTP 2 times in 1 session as a control after re-positioning cerebral aneurysm clips.  In another 2 patients, CTA was performed alone.  The quality of all imaging obtained was assessed in a blinded consensus reading performed by an experienced neurosurgeon and an experienced neuroradiologist.  A 6-point scoring system ranging from excellent to insufficient was used for quality evaluation of CTP and CTA.  In 9 of 10 CTP data sets, the quality was rated excellent or good.  In the remaining case, the quality was rated insufficient for diagnostic evaluation due to major streak artifacts induced by the titanium pins of the head clamp.  In this particular case, the quality of the related CTA was rated good and sufficient for intra-operative decision making.  The quality of all 12 CTA data sets was rated excellent or good.  In 1 patient with an anterior communicating artery aneurysm, CTP scanning led to a re-positioning of the clip because of an ischemic pattern of the perfusion parameter maps due to clip stenosis of an artery.  The subsequent CTP scan obtained in this patient revealed an improved perfusion of the related vascular territory, and follow-up MRI showed only minor ischemia of the anterior cerebral artery territory.  The authors concluded that intra-operative CTA and CTP scanning were shown to be feasible with short acquisition time, little interference with the surgical workflow, and very good diagnostic imaging quality.  Thus, these modalities might be very helpful in vascular neurosurgery.  They stated that having demonstrated their feasibility, the impact of these methods on patients' outcomes has now to be analyzed prospectively in a larger series.

Silvennoinen et al (2010) stated that the routine diagnostic tool of acute ischemic stroke is NCCT.  Modern multi-slice CT scanners also allow functional imaging with brain perfusion and CTA.  Wider adoption of thrombolytic therapy in acute stroke have advanced their application.  Computed tomography perfusion is fast and widely available.  It allows verification of cerebral ischemia, and may potentially assist in determining the extent of the ischemic tissue that still is salvageable with thrombolytic therapy.  Major cerebral arteries can also be visualized to detect occlusions or stenosis, which also assists in clinical decision making.  Non-contrast CT still remains the mainstay of acute stroke imaging.  Furthermore, Warren et al (2010) noted that integrated stroke imaging, including demonstration of potentially salvageable tissue with either MR perfusion/diffusion studies or CT perfusion, is increasingly likely to play a central role in future management strategies and widening of the potential therapeutic window.

Lovblad and Baird (2010) noted that over the past 10 years, there has been a parallel in progress in techniques in both diagnostic and therapeutic options for acute cerebral ischemia.  While previously only used for excluding hemorrhage, imaging now has the possibility to detect ischemia, vascular occlusion, and tissue at risk in one setting.  It also allow clinicians to monitor treatment and predict/exclude therapeutic complications.  Parallel to advances in MRI of stroke, CT has markedly improved over the past 10 years as a result of the development of faster CT scanners, which allow clinicians to acquire CTP or CTA in a reliable way. Computed tomography can detect many signs that might help clinicians detect impending signs of massive infarction, but there is still a lack of experience in the use of these techniques to guide possible therapy.

In a pilot study, Michel and colleagues (2012) examined the feasibility of a trial of perfusion computed tomography (PCT)-guided thrombolysis in patients with ischemic tissue at risk of infarction and unknown stroke onset.  Patients with a supra-tentorial stroke of unknown onset in the middle cerebral artery territory and significant volume of at-risk tissue on PCT were randomized to intravenous thrombolysis with alteplase (0.9 mg/kg) or placebo.  Feasibility endpoints were randomization and blinded treatment of patients within 2 hrs after hospital arrival, and the correct application (estimation) of the perfusion imaging criteria.  At baseline, there was a trend towards older age [69.5 (57 to 78) versus 49 (44 to 78) years] in the thrombolysis group (n = 6) compared to placebo (n = 6).  Regarding feasibility, hospital arrival to treatment delay was above the allowed 2 hrs in 3 patients (25 %).  There were 2 protocol violations (17 %) regarding PCT, both under-estimating the predicted infarct in patients randomized in the placebo group.  No symptomatic hemorrhage or death occurred during the first 7 days.  Three of the 4 (75 %) and 1 of the 5 (20 %) patients were re-canalized in the thrombolysis and placebo group respectively.  The volume of non-infarcted at-risk tissue was 84 (44 to 206) cm(3) in the treatment arm and 29 (8 to 105) cm(3) in the placebo arm.  The authors concluded that this pilot study shoeds that a randomized PCT-guided thrombolysis trial in patients with stroke of unknown onset may be feasible if issues such as treatment delays and reliable identification of tissue at risk of infarction tissue are resolved.  Safety and efficiency of such an approach need to be established.

Recent guidelines regarding CT perfusion for evaluating acute cerebral ischema included the following:

  • The European Federation of Neurological Societies' guideline on neuroimaging in acute stroke (Masdeu et al, 2006) stated that perfusion CT is helpful when MRI is not available and for the study of stroke patients for whom MRI is contraindicated (class IV, level GCPP).  Class IV: Any design where test is not applied in blinded evaluation OR evidence provided by expert opinion alone or in descriptive case series (without controls).  Good clinical practice point (GCPP) supported primarily by expert opinion.
  • The American Heart Association, American Stroke Association Stroke Council, and Clinical Cardiology Council's guidelines for the early management of adults with ischemic stroke (Adams et al, 2007) stated multi-modal CT and MRI may provide additional information that will improve diagnosis of ischemic stroke (Class I, Level of Evidence A).  Class I Conditions for which there is evidence for and/or general agreement that the procedure or treatment is useful and effective.  Level of Evidence "A" Data derived from multiple randomized clinical trials
  • The American Association of Neuroscience Nurses' guide to the care of the hospitalized patient with ischemic stroke (2008) stated that the use of CT angiography (CTA) and CT perfusion (CTP) is growing in popularity and usefulness for acute stroke management.  CTA/CTP imaging at admission assists in evaluating the cervical vessels and determining infarct localization and site of vascular occlusion.  As this technology improves and is studied further, the use of CTA and CTP may increase.
  • The American College of Radiology's Appropriateness Criteria on cerebrovascular disease (De La Paz et al, 2010) noted that advanced CTP methods improve sensitivity to acute ischemia and are increasingly used with CTA to evaluate acute stroke as a supplement to the non-contrast head CT.
  • The Institute for Clinical Systems Improvement's guideline on the diagnosis and treatment of ischemic stroke (2010) stated that although ischemic brain swelling typically peaks between 3 and 5 days after stroke onset, marked early swelling (in the first 24 to 48 hours) causing mass effect and tissue shift can occur in the most severe cases ("malignant" ischemic brain edema).  Low attenuation changes exceeding 2/3 of the middle cerebral artery territory and large areas of hypoperfusion on perfusion scans (CT perfusion or MRI perfusion) on initial radiological evaluation are associated with high risk of developing malignant brain edema.  Patients with these features should be strictly monitored with serial neurological examinations, ideally in a stroke unit.  Repeating CT scan of the brain to evaluate for progression of regional mass effect is indicated if the patient develops any signs of neurological deterioration.  The value of serial CT scans of the brain in the absence of clinical changes remains to be established.

Shibamoto et al (2012) reported the case of a 31-year old male presenting with intra-cranial hemorrhage manifesting as deep coma and anisocoria underwent immediate emergency surgery.  Three-dimensional computed tomography (CT) angiography revealed stenosis of the right middle cerebral artery (MCA) and perfusion CT immediately after the surgery suggested severe hypo-perfusion in the right MCA territory.  Post-operative angiography demonstrated right unilateral moyamoya disease.  These researchers predicted that brain edema and intra-cranial pressure (ICP) elevation occurring after the hemorrhage might result in cerebral infarction.  Hyper-osmotic drugs were contraindicated by dehydration.  Therefore, therapeutic hypothermia was induced that controlled the ICP.  These researchers considered that the increased ICP, dehydration, vasospasm, and shrinkage of the ruptured vessel comprised the pathogenesis of acute cerebral ischemia after intra-cranial bleeding.  They stated that cerebral hemodynamics should be evaluated during the acute phase of cerebral hemorrhage to prevent subsequent cerebral infarction.

Furthermore, an UpToDate review on “Moyamoya disease: Prognosis and treatment” (Suwanwela, 2013) stated that “Preoperative cerebral angiography with bilateral injections of the internal and external carotid arteries and vertebral arteries is generally recommended to evaluate the sites of occlusion and collateral circulation and to identify donor vessels.  Cerebral perfusion and autoregulation studies using xenon CT, perfusion CT, and/or perfusion MRI, with or without acetazolamide, may also be helpful in evaluating cerebrovascular reserve".

While CT perfusion may be useful for the evaluation of moyamoya disease patients who present with acute cerebral ischemic attacks, there is inadequate evidence to support CT perfusion for monitoring of the disease.

Cremers and colleagues (2014) stated that delayed cerebral ischemia (DCI) is at presentation a diagnosis per exclusion, and can only be confirmed with follow-up imaging. For treatment of DCI, a diagnostic tool is needed. These researchers performed a systematic review to evaluate the value of CTP in the prediction and diagnosis of DCI. They searched PubMed, Embase, and Cochrane databases to identify studies on the relationship between CTP and DCI. A total of 11 studies (570 patients) were included. On admission, CBF, CBV, MTT, and TTP did not differ between patients who did and did not develop DCI. In the DCI time-window (4 to 14 days after SAH), DCI was associated with a decreased CBF (pooled mean difference -11.9 ml/100 g per minute (95 % CI: -15.2 to -8.6)) and an increased MTT (pooled mean difference 1.5 seconds (0.9 to 2.2)). Cerebral blood volume did not differ and TTP was rarely reported. Perfusion thresholds reported in studies were comparable, although the corresponding test characteristics were moderate and differed between studies. The authors concluded that CTP can be used in the diagnosis but not in the prediction of DCI. They stated that there is a need to standardize the method for measuring perfusion with CTP after SAH, and optimize and validate perfusion thresholds.

Mir and associates (2014) stated that DCI is a significant cause of morbidity and mortality after aneurysmal SAH, leading to poor outcomes. These investigators evaluated the usefulness of CTP in determining DCI in patients with aneurysmal SAH. They conducted a systematic review evaluating studies that assessed CTP in patients with aneurysmal SAH for determining DCI. Studies using any of the following definitions of DCI were included in the systematic review: (i) new onset of clinical deterioration, (ii) cerebral infarction identified on follow-up CT or MRI, and (iii) functional disability. A random-effects meta-analysis was performed assessing the strength of association between a positive CTP result and DCI. The systematic review identified 218 studies that met the screening criteria, of which 6 cohort studies met the inclusion criteria. These studies encompassed a total of 345 patients, with 155 (45 %) of 345 patients classified as having DCI and 190 (55 %) of 345 patients as not having DCI. Admission disease severity was comparable across all groups. Four cohort studies reported CTP test characteristics amenable to the meta-analysis. The weighted averages and ranges of the pooled sensitivity and specificity of CTP in the determination of DCI were 0.84 (0.7 to 0.95) and 0.77 (0.66 to 0.82), respectively. The pooled odds ratio of 23.14 (95 % CI: 5.87 to 91.19) indicated that patients with aneurysmal SAH with positive CTP test results were approximately 23 times more likely to experience DCI compared with patients with negative CTP test results. The authors concluded that perfusion deficits on CTP are a significant finding in determining DCI in aneurysmal SAH. They noted that this may be helpful in identifying patients with DCI before development of infarction and neurologic deficits.

Rawal et al (2015) stated that DCI is a serious complication after aneurysmal SAH. If DCI is suspected clinically, imaging methods designed to detect angiographic vasospasm or regional hypo-perfusion are often used before instituting therapy. Uncertainty in the strength of the relationship between imaged vasospasm or perfusion deficits and DCI-related outcomes raises the question of whether imaging to select patients for therapy improves outcomes in clinical DCI. These researchers performed a decision analysis using Markov models. Strategies were either to treat all patients immediately or to first undergo diagnostic testing by digital subtraction angiography or CTA to assess for angiographic vasospasm, or CTP to assess for perfusion deficits. According to current practice guidelines, treatment consisted of induced hypertension. Outcomes were survival in terms of life-years and quality-adjusted life-years. When treatment was assumed to be ineffective in non-vasospasm patients, treat all and digital subtraction angiography were equivalent strategies; when a moderate treatment effect was assumed in non-vasospasm patients, treat all became the superior strategy. Treating all patients was also superior to selecting patients for treatment via CTP. One-way sensitivity analyses demonstrated that the models were robust; 2- and 3-way sensitivity analyses with variation of disease and treatment parameters reinforced dominance of the treat all strategy. The authors concluded that imaging studies to test for the presence of angiographic vasospasm or perfusion deficits in patients with clinical DCI do not seem helpful in selecting which patients should undergo treatment and may not improve outcomes. They stated that future directions include validating these results in prospective cohort studies.

Furthermore, an UpToDate review on “Etiology, clinical manifestations, and diagnosis of aneurysmal subarachnoid hemorrhage” (Singer et al, 2015) does not mention CT perfusion as a diagnostic tool.

Magnetic Resonance Imaging Perfusion Studies:

Stroke is one of the most common causes of permanent disability and/or death in the Western world.  The majority of strokes is caused by acute ischemia as a consequence of occlusion of the cerebral artery by a clot.  The minority of strokes is related to intra-cerebral hemorrhage or other sources.  Transient ischemic attack (TIA) is defined as symptom duration of less than 24 hrs.  Time from onset of symptoms to treatment is considered to be the key variable that influences the indication of re-canalization therapy for treatment of acute brain infarction.  Early reperfusion has been reported to improve clinical outcomes, yet the majority of patients with acute stroke do not attend in time for thrombolysis, which is the only approved treatment.  To extend the time window for thrombolysis, several imaging parameters in computed tomography and magnetic resonance imaging (MRI) have been investigated.  In particular, multi-modal neuroimaging is increasingly employed in the initial evaluation and management of acute stroke patients in parallel with the expansion of therapeutic options.  Multi-modal MRI can identify the type of stroke (ischemia or hemorrhage), severity and location of the lesion, the patency of the intra-cranial vessels, the degree of cerebral perfusion, as well as the presence and size of the ischemic penumbra (tissue).  This information can be used to guide both acute and long-term treatment decisions for stroke patients (Kloska et al, 2010 ;  Warren et al, 2010; Burgess and Kidwell, 2011; Olivot and Albers, 2011).

Olivot and Albers (2011) noted that preliminary studies suggested that stroke victims with a significant penumbra estimated by the diffusion/perfusion mismatch on MRI benefit from thrombolysis beyond the currently recommended time window of 4.5 hrs.  New software programs can automatically produce reliable perfusion and diffusion maps for use in clinical practice.  Combined diffusion and perfusion MRI reveals an acute ischemic lesion in about 60 % of TIA patients.  Patients with transient symptoms and a restricted diffusion lesion on MRI are considered by the American Heart Association (AHA) scientific committee to have suffered a brain infarction and have a very high risk of early stroke recurrence.  The authors concluded multi-modal MRI provides critical real-time information about ongoing tissue injury as well as the risk of additional ischemic damage.  It is becoming an essential tool for the diagnosis, management and triage of acute TIA and brain infarction (Olivot and Albers, 2011).

Straka et al (2010) noted that diffusion-perfusion mismatch can be used to identify acute stroke patients that could benefit from re-perfusion therapies.  Early assessment of the mismatch facilitates necessary diagnosis and treatment decisions in acute stroke.  These researchers developed the RApid processing of PerfusIon and Diffusion (RAPID) for unsupervised, fully automated processing of perfusion and diffusion data for the purpose of expedited routine clinical assessment.  The RAPID system computes quantitative perfusion maps (CBV, CBF, mean transit time [MTT], and the time until the residue function reaches its peak [T(max)] using deconvolution of tissue and arterial signals.  Diffusion-weighted imaging/perfusion-weighted imaging (DWI/PWI) mismatch is automatically determined using infarct core segmentation of ADC maps and perfusion deficits segmented from T(max) maps.  The performance of RAPID was evaluated on 63 acute stroke cases, in which diffusion and perfusion lesion volumes were outlined by both a human reader and the RAPID system.  The correlation of outlined lesion volumes obtained from both methods was r(2) = 0.99 for DWI and r(2) = 0.96 for PWI.  For mismatch identification, RAPID showed 100 % sensitivity and 91 % specificity.  The mismatch information is made available on the hospital's PACS within 5 to 7 mins.  Results indicate that the automated system is sufficiently accurate and fast enough to be used for routine care as well as in clinical trials.

Kim et al (2010) developed fully automated software for dynamic susceptibility contrast (DSC) MR PWI to efficiently and reliably derive critical hemodynamic information for acute stroke treatment decisions.  Brain MR PWI was performed in 80 consecutive patients with acute non-lacunar ischemic stroke within 24 hrs after onset of symptom.  These studies were automatically processed to generate hemodynamic parameters that included CBF and CBV, and MTT.  To develop reliable software for PWI analysis, these investigators used computationally robust algorithms including the piecewise continuous regression method to determine bolus arrival time (BAT), log-linear curve fitting, arrival time independent de-convolution method as well as sophisticated motion correction methods.  An optimal arterial input function (AIF) search algorithm using a new artery-likelihood metric was also developed.  Anatomical locations of the automatically determined AIF were reviewed and validated.  The automatically computed BAT values were statistically compared with estimated BAT by a single observer.  In addition, gamma-variate curve-fitting errors of AIF and inter-subject variability of AIFs were analyzed.  Lastly, 2 observers independently assessed the quality and area of hypo-perfusion mismatched with restricted diffusion area from motion corrected MTT maps and compared that with time-to-peak (TTP) maps using the standard approach.  The AIF was identified within an arterial branch and enhanced areas of perfusion deficit were visualized in all evaluated cases.  Total processing time was 10.9 +/- 2.5 s (mean +/- S.D.) without motion correction and 267 +/- 80 s (mean +/- S.D.) with motion correction on a standard personal computer.  The MTT map produced with the authors' software adequately estimated brain areas with perfusion deficit and was significantly less affected by random noise of the PWI when compared with the TTP map.  Results of image quality assessment by 2 observers revealed that the MTT maps exhibited superior quality over the TTP maps (88 % good rating of MTT as compared to 68 % of TTP).  The authors' software allowed fully automated de-convolution analysis of DSC PWI using proven efficient algorithms that can be applied to acute stroke treatment decisions.

Recent guidelines regarding MRI perfusion for evaluating acute cerebral ischema included the following:

  • The European Federation of Neurological Societies' guideline on neuroimaging in acute stroke (Masdeu et al, 2006) stated that MR PWI and MR DWI are very helpful for the evaluation of patients with acute ischemic stroke (class I, level A).
  • The American Heart Association, American Stroke Association Stroke Council, and Clinical Cardiology Council's guidelines for the early management of adults with ischemic stroke (Adams et al, 2007) stated that multi-modal MRI may provide additional information that will improve diagnosis of ischemic stroke (Class I, Level of Evidence A).
  • The American College of Radiology's Appropriateness Criteria on cerebrovascular disease (De La Paz et al, 2010) noted that MR DWI are highly sensitive and specific for acute cerebral ischemia and, when combined with MR PWI, may be used to identify potentially salvageable ischemic tissue, especially in the period greater than 3 hours after symptom onset.
  • The Institute for Clinical Systems Improvement (ICSI)'s guideline on the diagnosis and treatment of ischemic stroke (ICSI, 2010) reported that MRI scans of the brain with diffusion- and susceptibility-weighted sequences are much more sensitive than CT in detecting new infarction and chronic hemorrhage as well as of equal sensitivity for acute hemorrhage.  If the patient is not having symptoms at the time of presentation, a MR DWI is preferred because diffusion-weighted sequences may identify patients at particularly high risk of early major recurrence.
  • On behalf of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology (AAN), Schellinger et al (2010) evaluated the evidence for the use of MR DWI and MR PWI in the diagnosis of patients with acute ischemic stroke.  These investigators systematically analyzed the literature from 1966 to January 2008 to address the diagnostic and prognostic value of DWI and PWI.  Diffusion-weighted MRI is established as useful and should be considered more useful than non-contrast CT for the diagnosis of acute ischemic stroke within 12 hours of symptom onset.  Diffusion-weighted MRI should be performed for the most accurate diagnosis of acute ischemic stroke (Level A); however, the sensitivity of MR DWI for the diagnosis of ischemic stroke in a general sample of patients with possible acute stroke is not perfect.  On the basis of Class II and III evidence, baseline MR DWI volumes probably predict baseline stroke severity in anterior territory stroke (Level B) but possibly do not in vertebro-basilar artery territory stroke (Level C).  Baseline MR DWI lesion volumes probably predict (final) infarct volumes (Level B) and possibly predict early and late clinical outcome measures (Level C).  Baseline MR PWI volumes predict to a lesser degree the baseline stroke severity compared with DWI (Level C).  There is insufficient evidence to support or refute the value of MR PWI in diagnosing acute ischemic stroke.

Howard et al (2011) stated that development of treatments for acute and chronic pain conditions remains a challenge, with an unmet need for improved sensitivity and reproducibility in measuring pain in patients.  These investigators used pulsed-continuous arterial spin-labeling [pCASL], a relatively novel perfusion MRI technique, in conjunction with a commonly-used post-surgical model, to measure changes in regional cerebral blood flow [rCBF] associated with the experience of being in ongoing pain.  They demonstrated repeatable, reproducible assessment of ongoing pain that is independent of patient self-report.  In a cross-over trial design, 16 participants requiring bilateral removal of lower-jaw 3rd molars underwent pain-free pre-surgical pCASL scans.  Following extraction of either left or right tooth, repeat scans were acquired during post-operative ongoing pain.  When pain-free following surgical recovery, the pre/post-surgical scanning procedure was repeated for the remaining tooth.  Voxel-wise statistical comparison of pre and post-surgical scans was performed to reveal rCBF changes representing ongoing pain.  In addition, rCBF values in pre-defined pain and control brain regions were obtained.  Regional CBF increases (5 to 10 %) representing post-surgical ongoing pain were identified bilaterally in a network including primary and secondary somatosensory, insula and cingulate cortices, thalamus, amygdala, hippocampus, midbrain and brainstem (including trigeminal ganglion and principal-sensory nucleus), but not in a control region in visual cortex.  Regional CBF changes were reproducible, with no rCBF differences identified across scans within-session or between post-surgical pain sessions.  This was the first report of the cerebral representation of ongoing post-surgical pain without the need for exogenous tracers.  Regions of rCBF increases are plausibly associated with pain and the technique is reproducible, providing an attractive proposition for testing interventions for on-going pain that do not rely solely on patient self-report.  The authors concluded that these findings have the potential to improve the understanding of the cerebral representation of persistent painful conditions, leading to improved identification of specific patient sub-types and implementation of mechanism-based treatments.

Howard et al (2012) determined rCBF changes representing ongoing pain experienced by patients with painful osteoarthritis (OA) of the carpometacarpal (CMC) joint and examined rCBF variability across sessions.  These researchers used pCASL, a perfusion MRI technique.  The study included 16 patients with CMC OA and 17 matched controls.  Two pCASL scans and numerical rating scale (NRS) estimates of ongoing pain were acquired in each of 2 identical sessions.  Voxel-wise general linear model analyses were performed to determine rCBF differences between OA and control groups, rCBF differences between sessions within each group, and whether session-wise rCBF differences were related to variability in perceived ongoing pain.  In the OA group, rCBF increases representing ongoing pain were identified in the primary and secondary somatosensory, insula, and cingulate cortices; thalamus; amygdala; hippocampus; and dorsal midbrain/pontine tegmentum, including the peri-aqueductal gray/nucleus cuneiformis.  Session-wise rCBF differences in the OA group in the post-central, rostral/subgenual cingulate, mid/anterior insula, prefrontal, and premotor cortices were related to changes in perceived ongoing pain.  No significant session-wise rCBF differences were observed in controls.  The authors concluded that this was the first quantitative endogenous perfusion MRI study of the cerebral representation of ongoing, persistent pain due to OA.  Observed rCBF changes potentially indicate dysregulated central nervous system appraisal and modulation of pain, most likely the maladaptive neuroplastic sequelae of living with painful OA.  Moreover, the clinical value of cerebral MRI perfusion studies for evaluating persistent pain has yet to be established.

Liu and colleagues (2013) examined the effects of post-herpetic neuralgia (PHN) on resting-state brain activity utilizing ASL techniques.  Features of static and dynamic CBF were analyzed to reflect the specific brain response to PHN pain.  A total of 11 consecutive patients suffering from PHN and 11 age- and gender-matched control subjects underwent perfusion functional MRI brain scanning during the resting state.  Group comparison was conducted to detect the regions with significant changes of CBF in PHN patients.  Then these investigators chose those regions that were highly correlated with the self-reported pain intensity as "seeds" to calculate the functional connectivity of both groups.  Absolute CBF values of these regions were also compared across PHN patients and control subjects.  Significant increases in CBF of the patient group were observed in left striatum, right thalamus, left primary somatosensory cortex (S1), left insula, left amygdala, left primary somatomotor cortex, and left inferior parietal lobule.  Significant decreases in CBF were mainly located in the frontal cortex.  Regional CBF in the left caudate, left insula, left S1, and right thalamus was highly correlated with the pain intensity, and further comparison showed that the regional CBF in these regions is significantly higher in PHN groups.  Functional connectivity results demonstrated that the reward circuitry involved in striatum, prefrontal cortex, amygdala, and parahippocampal gyrus and the circuitry among striatum, thalamus, and insula were highly correlated with each element in PHN patients.  The authors stated that non-invasive brain perfusion imaging at rest may provide novel insights into the central mechanisms underlying PHN pain.

Aquino et al (2014) stated that PWI can be used to measure key aspects of tumor vascularity in-vivo and recent studies suggested that perfusion imaging may be useful in the early assessment of response to angiogenesis inhibitors.  These investigators compared Parametric Response Maps (PRMs) with the Region of Interest (ROI) approach in the analysis of tumor changes induced by bevacizumab and irinotecan in recurrent glioblastomas (rGBM), and evaluated if changes in tumor blood volume measured by perfusion MRI may predict clinical outcome.  A total of 42 rGBM patients with KPS greater than or equal to 50 were treated until progression, as defined by MRI with Response Assessment in Neuro-Oncology (RANO) criteria.  Relative CBV variation after 8 weeks of treatment was calculated through semi-automatic ROI placement in the same anatomic region as in baseline.  Alternatively, relative CBV variations with respect to baseline were calculated into the evolving tumor region using a voxel-by-voxel difference.  Parametric Response Maps were created showing where relative CBV significantly increased, decreased or remained unchanged.  An increased blood volume in PRM (PRMCBV+) higher than 18 % (1st quartile) after 8 weeks of treatment was associated with increased progression free survival (PFS; 24 versus 13 weeks, p = 0.045) and overall survival (OS; 38 versus 25 weeks, p = 0.016).  After 8 weeks of treatment ROI analysis showed that mean relative CBV remained elevated in non-responsive patients (4.8 ± 0.9 versus 5.1 ± 1.2, p = 0.38), whereas decreased in responsive patients (4.2 ± 1.3 versus 3.8 ± 1.6 p = 0.04), and re-increased progressively when patients approached tumor progression.  The authors concluded that these findings suggested that PRMs can provide an early marker of response to anti-angiogenic treatment and warrant further confirmation in a larger cohort of GBM patients.

Ziegelitz et al (2014) demonstrated in idiopathic normal pressure hydrocephalus (iNPH) patients by DSC MRI a reduced pre-operative CBF that correlated with the severity of clinical symptoms and predicted shunt outcome. In cortical, sub-cortical, peri-ventricular regions and along peri-and para-ventricular profiles absolute perfusion values were estimated by multi-slice DSC MRI in 21 iNPH patients and 16 age-matched healthy individuals (HI). Relative CBF, calculated with the occipital cortex as internal reference, was used for comparison between groups and for correlation analysis between regional rCBF and symptoms or outcome. Idiopathic NPH patients showed significantly decreased rCBF in the basal medial frontal cortex, hippocampus, lentiform nucleus, peri-ventricular white matter (PVWM), central grey matter and the global parenchyma as compared to HI. Idiopathic NPH patients with higher pre-operative rCBF in the PVWM performed better in clinical tests. A lower overall pre-operative function resulted in a more obvious recovery after shunt insertion. Shunt-responders had higher rCBF values in the basal medial frontal cortex than non-responders. The authors concluded that DSC MRI perfusion is a potentially useful diagnostic tool in iNPH and perfusion based criteria might be possible predictors of shunt response.

Ziegelitz et al (2015) explored relationships between clinical improvement and rCBF changes after shunt-insertion in iNPH as measured by DSC MRI. In 20 iNPH patients, rCBF was measured pre-operatively and 3 months post-operatively. Because of shunt-induced right-sided artefacts, evaluation was restricted to 12 left-sided cortical, sub-cortical, and peri-ventricular regions of interest. Correlations between rCBF and clinical symptoms were analyzed in shunt responders. In responders, the post-operative regions of interest-based rCBF increase of 2 % to 9 % was significant in the parenchyma, the hippocampus, and the anterior periventricular white matter. Perfusion improvement in the cingulus, caudate head, and thalamus correlated with decreased disturbance in 1 or more of the domains neuropsychology, gait, balance, and total performance. The authors concluded that DSC MRI can measure post-operative perfusion changes in responders; post-operative perfusion increase in some grey matter structures seems to determine the degree of clinical improvement.

Furthermore, an UpToDate review on “Normal pressure hydrocephalus” (Graff-Radford, 2015) states that “Other MRI techniques such as cine-MRI and perfusion-weighted MRI have had either mixed or negative results in the evaluation of patients with NPH. A small pilot study of magnetic resonance spectroscopy has shown findings in NPH that appear to correlate with cognitive deterioration”.

Reardon et al (2014) provided historical and scientific guidance on imaging response assessment for incorporation into clinical trials to stimulate effective and expedited drug development for recurrent glioblastoma by addressing 3 fundamental questions: (i) What is the current validation status of imaging response assessment, and when are we confident assessing response using today's technology? (ii) What imaging technology and/or response assessment paradigms can be validated and implemented soon, and how will these technologies provide benefit? (iii) Which imaging technologies need extensive testing, and how can they be prospectively validated? These researchers noted that assessment of T1 +/- contrast, T2/FLAIR, diffusion, and perfusion-imaging sequences are routine and provide important insight into underlying tumor activity. Nonetheless, utility of these data within and across patients, as well as across institutions, are limited by challenges in quantifying measurements accurately and lack of consistent and standardized image acquisition parameters. Currently, there exists a critical need to generate guidelines optimizing and standardizing MRI sequences for neuro-oncology patients. Additionally, more accurate differentiation of confounding factors (pseudo-progression or pseudo-response) may be valuable. The authors concluded that although promising, diffusion MRI, perfusion MRI, MR spectroscopy, and amino acid PET require extensive standardization and validation. Moreover, they stated that additional techniques to enhance response assessment, such as digital T1 subtraction maps, warrant further investigation.

Boxerman and Ellingson (2015) noted that there exist multiple challenges associated with the current response assessment criteria for high-grade gliomas, including the uncertain role of changes in non-enhancing T2 hyper-intensity, and the phenomena of pseudo-response and pseudo-progression in the setting of anti-angiogenic and chemo-radiation therapies, respectively. Advanced physiological MRI, including diffusion and perfusion (DSC MRI and dynamic contrast-enhanced MRI) sensitive techniques for overcoming response assessment challenges, has been proposed, with their own potential advantages and inherent shortcomings. Measurement variability exists for conventional and advanced MRI techniques, necessitating the standardization of image acquisition parameters in order to establish the utility of these imaging methods in multi-center trials for high-grade gliomas. This review chapter highlighted the important features of MRI in clinical brain tumor trials, focusing on the current state of response assessment in brain tumors, advanced imaging techniques that may provide additional value for determining response, and imaging issues to be considered for multicenter trials.

Huang et al (2015) stated that glioblastoma is a devastating diagnosis with an average survival of 14 to 16 months using the current standard of care treatment. The determination of treatment response and clinical decision making is based on the accuracy of radiographic assessment. Notwithstanding, challenges exist in the neuroimaging evaluation of patients undergoing treatment for malignant glioma. Differentiating treatment response from tumor progression is problematic and currently combines long-term follow-up using standard MRI, with clinical status and corticosteroid-dependency assessments. In the clinical trial setting, treatment with gene therapy, vaccines, immunotherapy, and targeted biologicals similarly produces MRI changes mimicking disease progression. A neuroimaging method to clearly distinguish between pseudo-progression and tumor progression has unfortunately not been found to-date. With the incorporation of anti-angiogenic therapies, a further pitfall in imaging interpretation is pseudo-response. The Macdonald criteria that correlate tumor burden with contrast-enhanced imaging proved insufficient and misleading in the context of rapid blood-brain barrier normalization following anti-angiogenic treatment that is not accompanied by expected survival benefit. Even improved criteria, such as the RANO criteria, which incorporate non-enhancing disease, clinical status, and need for corticosteroid use, fall short of definitively distinguishing tumor progression, pseudo-response, and pseudo-progression. These investigators focused on advanced imaging techniques including perfusion MRI, diffusion MRI, MR spectroscopy, and new positron emission tomography imaging tracers. They discussed the relevant image analysis algorithms and interpretation methods of these promising techniques in the context of determining response and progression during treatment of glioblastoma both in the standard of care and in clinical trial context.

Filice and Crisi (2015) evaluated the differences in dynamic contrast-enhanced (DCE) MRI perfusion estimates of high-grade gliomas (HGG) due to the use of an input function (IF) obtained respectively from arterial (AIF) and venous (VIF) approaches by 2 different commercially available software applications. This prospective study includes 20 patients with pathologically confirmed diagnosis of HGG. The data source was processed by using 2 DCE dedicated commercial packages, both based on the extended Toft model, but the 1st customized to obtain input function from arterial measurement and the 2nd from sagittal sinus sampling. The quantitative parametric perfusion maps estimated from the 2 software packages were compared by means of a region of interest (ROI) analysis. The resulting input functions from venous and arterial data were also compared. No significant difference has been found between the perfusion parameters obtained with the 2 different software packages (p < 0.05). The comparison of the VIFs and AIFs obtained by the 2 packages showed no statistical differences. The authors concluded that direct comparison of DCE-MRI measurements with IF generated by means of arterial or venous waveform led to no statistical difference in quantitative metrics for evaluating HGG. Moreover, they noted that additional research involving DCE-MRI acquisition protocols and post-processing would be beneficial to further substantiate the effectiveness of venous approach as the IF method compared with arterial-based IF measurement.

Verclytte et al (2015) noted that early-onset Alzheimer's disease (EOAD) is frequently associated with atypical clinical presentations and its early detection remains a challenging issue. In this study, these researchers used arterial spin labeling (ASL), a non-invasive perfusion MRI sequence, and [18 F]-FDG-PET to detect the perfusion and metabolic features in patients with EOAD. All patients were investigated in the French reference center for young-onset dementia and were assessed by MRI, including a pseudo-continuous ASL (pCASL) sequence, and [18 F]-FDG-PET. Quantitative analyses and inter-modality comparison with correlation analysis were made after data processing including correction of partial volume effects, cortical projection, and specific intensity normalization. These investigators prospectively included 37 patients with EOAD with a mean age of 58.3 years. The areas of most severe hypo-perfusion detected with ASL were located in the parietal lobes, the pre-cuneus, the right posterior cingulate cortex, and the frontal lobes (p < 0.05). The areas of lowest glucose metabolism detected by [18 F]-FDG-PET were identified in the temporo-parietal cortex and the pre-cuneus (p < 0.05). Hypo-metabolic regions were more extensive than hypo-perfused regions on ASL maps whereas ASL highlighted alterations in the frontal lobes without apparent hypo-metabolism on [18 F]-FDG-PET maps. The authors concluded that ASL and [18 F]-FDG-PET detected pathological areas of similar distribution mainly located in the inferior parietal lobules and local zones in the temporal cortex in patients with EOAD. They stated that the findings of this preliminary study showed that ASL and [18 F]-FDG-PET may have a complementary role in combination with structural MRI for the assessment of suspected EOAD.

Blauwblomme et al (2015) noted that ASL-MRI is becoming a routinely used sequence for ischemic strokes, as it quantifies CBF without the need for contrast injection. As brain arterio-venous malformations (AVMs) are high-flow vascular abnormalities, increased CBF can be identified inside the nidus or draining veins. These researchers analyzed the relevance of ASL-MRI in the diagnosis and follow-up of children with brain AVM. They performed a retrospective analysis of 21 patients who had undergone digital subtraction angiography (DSA) and pseudo-continuous ASL-MRI for the diagnosis or follow-up of brain AVM after radiosurgery or embolization. They compared the AVM nidus location between ASL-MRI and 3D contrast-enhanced T1 MRI, as well as the CBF values obtained in the nidus (CBFnidus) and the normal cortex (CBFcortex) before and after treatment. The ASL-MRI correctly demonstrated the nidus location in all cases. Nidal perfusion (mean CBFnidus of 137.7 ml/100 mg/min) was significantly higher than perfusion in the contralateral normal cortex (mean CBFcortex of 58.6 ml/100 mg/min; p < 0.0001, Mann-Whitney test). Among 3 patients followed-up after embolization, a reduction in both AVM size and CBF values was noted. Among 5 patients followed-up after radiosurgery, a reduction in the nidus size was observed, whereas CBFnidus remained higher than CBFcortex. The authors concluded that ASL-MRI revealed nidus location and patency after treatment due to its ability to demonstrate focal increased CBF values. They stated that absolute quantification of CBF values could be relevant in the follow-up of pediatric brain AVM after partial treatment, although this must be confirmed in larger prospective trials.

Innes and colleagues (2015) examined gray matter volume and concentration and cerebral perfusion in people with untreated obstructive sleep apnea (OSA) while awake. These investigators employed voxel-based morphometry to quantify gray matter concentration and volume and ASL perfusion imaging to quantify cerebral perfusion. A total of 19 people with OSA (6 females and 13 males; mean age of 56.7 years, range of 41 to 70; mean apnea hypopnea index [AHI] 18.5, range of 5.2 to 52.8) and 19 controls (13 females and 6 males; mean age of 50.0 years, range of 41 to 81). There were no differences in regional gray matter concentration or volume between participants with OSA and controls. Neither was there any difference in regional perfusion between controls and people with mild OSA (n = 11). However, compared to controls, participants with moderate-severe OSA (n = 8) had decreased perfusion (while awake) in 3 clusters. The largest cluster incorporated, bilaterally, the para-cingulate gyrus, anterior cingulate gyrus, and sub-callosal cortex, and the left putamen and left frontal orbital cortex; the 2nd cluster was right-lateralized, incorporating the posterior temporal fusiform cortex, para-hippocampal gyrus, and hippocampus; the 3rd cluster was located in the right thalamus. The authors concluded that there is decreased regional perfusion during wakefulness in participants with moderate-severe OSA, and these are in brain regions that have shown decreased regional gray matter volume in previous studies in people with severe OSA. Thus, these researchers hypothesized that cerebral perfusion changes are evident before (and possibly underlie) future structural changes. These preliminary findings need to be validated by well-designed studies.

Wang et al (2015) evaluated CBF in chronic pediatric mild traumatic brain injury (mTBI) using ASL MRI perfusion. Patients with mTBI showed lower CBF than controls in bilateral fronto-temporal regions, with no between-group cognitive differences. The authors concluded that these findings suggested ASL MRI perfusion may be useful in evaluating functional abnormalities in pediatric mTBI. These preliminary findings need to be validated by well-designed studies.

Fernndez-Seara et al (2015) stated that neurophysiological changes within the cortico-basal ganglia-thalamocortical circuits appear to be a characteristic of Parkinson's disease (PD) pathophysiology. The sub-thalamic nucleus (STN) is one of the basal ganglia components showing pathological neural activity patterns in PD. In this study, perfusion imaging data, acquired non-invasively using ASL perfusion MRI, were used to assess the resting state functional connectivity (FC) of the STN in 24 early-to-moderate PD patients and 34 age-matched healthy controls, to determine whether altered FC in the very low frequency range of the perfusion time signal occurs as a result of the disease. The results showed that the healthy STN was functionally connected with other nuclei of the basal ganglia and the thalamus, as well as with discrete cortical areas including the insular cortex and the hippocampus. In PD patients, connectivity of the STN was increased with 2 cortical areas involved in motor and cognitive processes. The authors concluded that these findings suggested that hyper-connectivity of the STN could underlie some of the motor and cognitive deficits often present even at early stages of PD. They stated that FC measures provided good discrimination between controls and patients, suggesting that ASL-derived FC metrics could be a putative PD biomarker.

CPT Codes / HCPCS Codes / ICD-10 Codes
Information in the [brackets] below has been added for clarification purposes.   Codes requiring a 7th character are represented by "+":
ICD-10 codes will become effective as of October 1, 2015:
Cerebral CT Perfusion Studies:
CPT codes covered if selection criteria are met:
0042T Cerebral perfusion analysis using computed tomography with contrast administration, including post-processing of parametric maps with determination of cerebral blood flow, cerebral blood volume, and mean transit time
Other CPT codes related to the CPB:
37195 Thrombolysis, cerebral, by intravenous infusion
61623 Endovascular temporary balloon arterial occlusion, head or neck (extracranial/intracranial) including selective catheterization of vessel to be occluded, positioning and inflation of occlusion balloon, concomitant neurological monitoring, and radiologic supervision and interpretation of all angiography required for balloon occlusion and to exclude vascular injury post occlusion
70450 - 70470 Computed tomography, head or brain; without contrast material, with contrast material(s), or without contrast material followed by contrast material(s) and further sections
70496 Computed tomographic angiography, head, with contrast material(s), including noncontrast images, if performed, and image post-processing
ICD-10 codes covered if criteria are met:
I65.01 - I65.9 Occlusion and stenosis of precerebral arteries, not resulting in cerebral infarction
I66.01 - I66.9 Occlusion and stenosis of cerebral arteries, not resulting in cerebral infarction
ICD-10 codes not covered for indications listed in the CPB (not all-inclusive):
B00.4 Herpesviral encephalitis
C71.0 - C71.9 Malignant neoplasm of brain
C79.31 Secondary malignant neoplasm of brain
C79.49 Secondary malignant neoplasm of other parts of nervous system [spinal cord]
G45.0 - G45.9 Transient cerebral ischemic attacks and related syndromes
G46.3 - G46.8 Vascular syndromes of brain in cerebrovascular diseases
G47.33 Obstructive sleep apnea (adult) (pediatric)
G91.0 Communicating hydrocephalus
G91.2 (Idiopathic) normal pressure hydrocephalus
I60.00 - I62.9 Nontraumatic subarachnoid, intracerebral and other and unspecified intracranial hemorrhage
I67.1 - I67.2
I67.4 -I68.8
Other cerebrovascular diseases and cerebrovascular disorders in diseases classified elsewhere
I69.00 - I69.998 Sequelae of cerebrovascular disease
I73.89 - I73.9 Other and unspecified peripheral vascular disease
S02.0xx+ - S02.42x+
S02.60x+ - S02.92x+
Fracture of skull and facial bones [traumatic brain injury]
S06.0x0+ - S06.9x9+ Intracranial injury, excluding those with skull fracture [traumatic brain injury]
S09.10x+ - S09.11x+
S09.8xx+ - S09.90x+
Head injury, unspecified
Cerebral MRI Perfusion Studies:
No specific code
Other HCPCS codes related to the CPB:
C9257 Injection, bevacizumab, 0.25 mg
J9035 Injection, bevacizumab, 10 mg
ICD-10 codes not covered for indications listed in the CPB (not all-inclusive):
C71.0 - C71.9 Malignant neoplasm of brain [not covered for assessment of response to angiogenesis inhibitors in persons with glioblastoma]
G20 Parkinson’s disease
G30.0 - G30.9 Alzheimer’s disease
G89.21 Chronic pain due to trauma
G89.22 Chronic post-thoracotomy pain
G89.28 Other chronic postprocedural pain
G89.29 Other chronic pain
G89.3 Neoplasm related pain (acute) (chronic)
Q28.0 Arteriovenous malformation of precerebral vessels
Q28.2 Arteriovenous malformation of cerebral vessels
R52 Pain, unspecified
Z13.858 Encounter for screening for other nervous system disorders [not covered for detection of early-onset Alzheimer's disease or as a putative biomarker of Parkinson’s disease]

The above policy is based on the following references:

    Computed Tomography Perfusion Imaging:

    1. Eastwood JD, Provenzale JM, Hurwitz LM, Lee TY. Practical injection-rate CT perfusion imaging: Deconvolution-derived hemodynamics in a case of stroke. Neuroradiol. 2001;43(3):223-226.
    2. Eastwood JD, Lev MH, Azhari T, et al. CT perfusion scanning with deconvolution analysis: Pilot study in patients with acute middle cerebral artery stroke. Radiology. 2002;222(1):227-236.
    3. Eastwood JD, Lev MH, Provenzale JM. Perfusion CT with iodinated contrast material. AJR Am J Roentgenol. 2003;180(1):3-12.
    4. Wintermark M, Maeder P, Verdun FR, et al. Using 80 kVp versus 120 kVp in perfusion CT measurement of regional cerebral blood flow. AJNR Am J Neuroradiol. 2000;21(10):1881-1884.
    5. Wintermark M, Thiran JP, Maeder P, et al. Simultaneous measurement of regional cerebral blood flow by perfusion CT and stable xenon CT: A validation study. AJNR Am J Neuroradiol. 2001;22(5):905-914.
    6. Koenig M, Kraus M, Theek C, et al. Quantitative assessment of the ischemic brain by means of perfusion-related parameters derived from perfusion CT. Stroke. 2001;32(2):431-437.
    7. Koenig M, Klotz E, Luka B, et al. Perfusion CT of the brain: Diagnostic approach for early detection of ischemic stroke. Radiology. 1998;209(1):85-93.
    8. Konig M. Brain perfusion CT in acute stroke: Current status. Eur J Radiol. 2003;45 Suppl 1:S11-S22.
    9. Kudo K, Terae S, Katoh C, et al. Quantitative cerebral blood flow measurement with dynamic perfusion CT using the vascular-pixel elimination method: Comparison with H(2)(15)O positron emission tomography. AJNR Am J Neuroradiol. 2003;24(3):419-426.
    10. Nabavi DG, Kloska SP, Nam EM, et al. MOSAIC: Multimodal Stroke Assessment Using Computed Tomography: Novel diagnostic approach for the prediction of infarction size and clinical outcome. Stroke. 2002;33(12):2819-2826.
    11. Bonaffini N, Altieri M, Rocco A, Di Piero V. Functional neuroimaging in acute stroke. Clin Exp Hypertens. 2002;24(7-8):647-657.
    12. Nabavi DG, Cenic A, Henderson S, et al. Perfusion mapping using computed tomography allows accurate prediction of cerebral infarction in experimental brain ischemia. Stroke. 2001;32(1):175-183.
    13. Klotz E, Konig M. Perfusion measurements of the brain: Using dynamic CT for the quantitative assessment of cerebral ischemia in acute stroke. Eur J Radiol. 1999;30(3):170-184.
    14. Muizelaar JP, Fatouros PP, Schroder ML. A new method for quantitative regional cerebral blood volume measurements using computed tomography. Stroke. 1997;28:1998-2005.
    15. Cenic A Nabavi DG, Craen RA, et al. Dynamic CT measurement of cerebral blood flow: A validation study. AJNR Am J Neuroradiol. 1999;20:63-73.
    16. Schellinger PD, Fiebach JB, Hacke W. Imaging-based decision making in thrombolytic therapy for ischemic stroke: Present status. Stroke. 2003;34(2):575-583.
    17. Rosand J, Eskey C, Chang Y, et al. Dynamic single-section CT demonstrates reduced cerebral blood flow in acute intracerebral hemorrhage. Cerebrovasc Dis. 2002;14(3-4):214-220.
    18. Keith CJ, Griffiths M, Petersen B, et al. Computed tomography perfusion imaging in acute stroke. Australas Radiol. 2002;46(3):221-230.
    19. Institute for Clinical Systems Improvement (ICSI). Diagnosis and initial treatment of ischemic stroke. ICSI Healthcare Guidelines. Bloomington, MN: ICSI; October 2001.
    20. Hirsh J, Dalen J, Guyatt G. The sixth (2000) ACCP guidelines for antithrombotic therapy for prevention and treatment of thrombosis. American College of Chest Physicians. Chest. 2001;119(1 Suppl):1S-370S.
    21. Masaryk T, Drayer BP, Anderson RE, et al. Cerebrovascular disease. American College of Radiology. ACR Appropriateness Criteria. Radiology. 2000;215(Suppl):415-435.
    22. Miles KA. Acute cerebral stroke imaging and brain perfusion with the use of high-concentration contrast media. Eur Radiol. 2003;13 Suppl 5:M117-M120.
    23. Higashida RT, Furlan AJ, Roberts H, et al. Trial design and reporting standards for intra-arterial cerebral thrombolysis for acute ischemic stroke. Stroke. 2003;34(8):e109-e317.
    24. Latchaw RE, Yonas H, Hunter GJ, et al. Guidelines and recommendations for perfusion imaging in cerebral ischemia: A scientific statement for healthcare professionals by the writing group on perfusion imaging, from the Council on Cardiovascular Radiology of the American Heart Association. Stroke. 2003;34(4):1084-104.
    25. Meuli RA. Imaging viable brain tissue with CT scan during acute stroke. Cerebrovasc Dis. 2004;17 Suppl 3:28-34.
    26. Hoeffner EG, Case I, Jain R, et al. Cerebral perfusion CT: Technique and clinical applications. Radiology. 2004;231(3):632-644.
    27. Mundy L, Merlin T, Parrella A. Perfusion CT scanning to evaluate cerebral perfusion in patients presenting with acute ischaemic stroke symptoms. Horizon Scanning Prioritising Summary - Volume 6. Adelaide, Australia: Adelaide Health Technology Assessment (AHTA) on behalf of National Horizon Scanning Unit (HealthPACT and MSAC); 2004.
    28. Kidwell CS, Hsia AW. Imaging of the brain and cerebral vasculature in patients with suspected stroke: Advantages and disadvantages of CT and MRI. Curr Neurol Neurosci Rep. 2006;6(1):9-16.
    29. Man K, Kareem AM, Ahmad Alias NA, et al. Computed tomography perfusion of ischaemic stroke patients in a rural Malaysian tertiary referral centre. Singapore Med J. 2006;47(3):194-197.
    30. Sviri GE, Mesiwala AH, Lewis DH, et al. Dynamic perfusion computerized tomography in cerebral vasospasm following aneurysmal subarachnoid hemorrhage: A comparison with technetium-99m-labeled ethyl cysteinate dimer-single-photon emission computerized tomography. J Neurosurg. 2006;104(3):404-410.
    31. Chen A, Shyr MH, Chen TY, et al. Dynamic CT perfusion imaging with acetazolamide challenge for evaluation of patients with unilateral cerebrovascular steno-occlusive disease. AJNR Am J Neuroradiol. 2006;27(9):1876-1881.
    32. Tan JC, Dillon WP, Liu S, et al. Systematic comparison of perfusion-CT and CT-angiography in acute stroke patients. Ann Neurol. 2007;61(6):533-543.
    33. Sparacia G, Iaia A, Assadi B, Lagalla R. Perfusion CT in acute stroke: Predictive value of perfusion parameters in assessing tissue viability versus infarction. Radiol Med (Torino). 2007;112(1):113-122.
    34. Kanazawa R, Kato M, Ishikawa K, et al. Convenience of the computed tomography perfusion method for cerebral vasospasm detection after subarachnoid hemorrhage. Surg Neurol. 2007;67(6):604-611.
    35. Ding B, Ling HW, Chen KM, et al. Comparison of cerebral blood volume and permeability in preoperative grading of intracranial glioma using CT perfusion imaging. Neuroradiology. 2006;48(10):773-781.
    36. Marco de Lucas E, González Mandly A, Gutiérrez A, et al. Computed tomography perfusion usefulness in early imaging diagnosis of herpes simplex virus encephalitis. Acta Radiol. 2006;47(8):878-881.
    37. Sajjad Z. Perfusion imaging in ischaemic stroke. J Pak Med Assoc. 2008;58(7):391-394.
    38. Parsons MW. Perfusion CT: Is it clinically useful? Int J Stroke. 2008;3(1):41-50.
    39. Provenzale JM, Shah K, Patel U, McCrory DC. Systematic review of CT and MR perfusion imaging for assessment of acute cerebrovascular disease. AJNR Am J Neuroradiol. 2008;29(8):1476-1482.
    40. Aviv RI, d'Esterre CD, Murphy BD, et al. Hemorrhagic transformation of ischemic stroke: Prediction with CT perfusion. Radiology. 2009;250(3):867-877.
    41. Kudo K, Sasaki M, Yamada K, et al. Differences in CT perfusion maps generated by different commercial software: Quantitative analysis by using identical source data of acute stroke patients. Radiology. 2010;254(1):200-209.
    42. Silvennoinen H, Lindsberg PJ, Valanne L. Computed tomography perfusion (CTP) imaging in diagnostics of cerebral ischemia. Duodecim. 2010;126(1):33-39.
    43. Wang XC, Gao PY, Xue J, et al. Identification of infarct core and penumbra in acute stroke using CT perfusion source images. AJNR Am J Neuroradiol. 2010;31(1):34-39.
    44. Schichor C, Rachinger W, Morhard D, et al. Intraoperative computed tomography angiography with computed tomography perfusion imaging in vascular neurosurgery: Feasibility of a new concept. J Neurosurg. 2010;112(4):722-728.
    45. Silvennoinen H, Lindsberg PJ, Valanne L. Computed tomography perfusion (CTP) imaging in diagnostics of cerebral ischemia. Duodecim. 2010;126(1):33-39.
    46. Warren DJ, Musson R, Connolly DJ, et al. Imaging in acute ischaemic stroke: Essential for modern stroke care. Postgrad Med J. 2010;86(1017):409-418.
    47. Greenberg ED, Gold R, Reichman M, et al. Diagnostic accuracy of CT angiography and CT perfusion for cerebral vasospasm: A meta-analysis. AJNR Am J Neuroradiol. 2010;31(10):1853-1860.
    48. Michel P, Ntaios G, Reichhart M, et al. Perfusion-CT guided intravenous thrombolysis in patients with unknown-onset stroke: A randomized, double-blind, placebo-controlled, pilot feasibility trial. Neuroradiology. 2012;54(6):579-588.
    49. Cremers CH, van der Schaaf IC, Wensink E, et al. CT perfusion and delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: A systematic review and meta-analysis. J Cereb Blood Flow Metab. 2014;34(2):200-207.
    50. Mir DI, Gupta A, Dunning A, et al. CT perfusion for detection of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: A systematic review and meta-analysis. AJNR Am J Neuroradiol. 2014;35(5):866-871.
    51. Rawal S, Barnett C, John-Baptiste A, et al. Effectiveness of diagnostic strategies in suspected delayed cerebral ischemia: A decision analysis. Stroke. 2015;46(1):77-83.
    52. Singer RJ, Ogilvy CS, Rordorf G. Etiology, clinical manifestations, and diagnosis of aneurysmal subarachnoid hemorrhage. UpToDate Inc., Waltham, MA. Last reviewed May 2015.

    Magnetic Resonance Imaging Perfusion Imaging:

    1. Latchaw RE, Alberts MJ, Lev MH, et al; American Heart Association Council on Cardiovascular Radiology and Intervention, Stroke Council, and the Interdisciplinary Council on Peripheral Vascular Disease. Recommendations for imaging of acute ischemic stroke: A scientific statement from the American Heart Association. Stroke. 2009;40(11):3646-3678.
    2. Masdeu JC, Irimia P, Asenbaum S, et al, EFNS. EFNS guideline on neuroimaging in acute stroke. Report of an EFNS task force. Eur J Neurol 2006;13(12):1271-1283. Available at: Accessed August 12, 2011.
    3. Adams HP Jr, del Zoppo G, Alberts MJ, et al, American Heart Association, American Stroke Association Stroke Council, Clinical Cardiology Council. Guidelines for the early management of adults with ischemic stroke: A guideline from the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology [trunc]. Stroke 2007;38(5):1655-1711. Available at: Accessed August 12, 2011.
    4. De La Paz RL, Wippold FJ II, Cornelius RS, et al, Expert Panel on Neurologic Imaging. ACR Appropriateness Criteria cerebrovascular disease. [online publication]. Reston (VA): American College of Radiology (ACR); 2010. Available at: Accessed August 12, 2011.
    5. Institute for Clinical Systems Improvement (ICSI). Diagnosis and treatment of ischemic stroke. Bloomington (MN): Institute for Clinical Systems Improvement (ICSI); June, 2010. Available at: Accessed August 12, 2011.
    6. Schellinger PD, Bryan RN, Caplan LR, et al; Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Evidence-based guideline: The role of diffusion and perfusion MRI for the diagnosis of acute ischemic stroke: Report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology. 2010;75(2):177-185.
    7. Kloska SP, Wintermark M, Engelhorn T, Fiebach JB. Acute stroke magnetic resonance imaging: Current status and future perspective. Neuroradiology. 2010;52(3):189-201.
    8. Warren DJ, Musson R, Connolly DJ, et al. Imaging in acute ischaemic stroke: Essential for modern stroke care. Postgrad Med J. 2010;86(1017):409-418.
    9. Straka M, Albers GW, Bammer R. Real-time diffusion-perfusion mismatch analysis in acute stroke. J Magn Reson Imaging. 2010;32(5):1024-1037.
    10. Kim J, Leira EC, Callison RC, et al. Toward fully automated processing of dynamic susceptibility contrast perfusion MRI for acute ischemic cerebral stroke. Comput Methods Programs Biomed. 2010;98(2):204-213.
    11. Burgess RE, Kidwell CS. Use of MRI in the assessment of patients with stroke. Curr Neurol Neurosci Rep. 2011;11(1):28-34
    12. Olivot JM, Albers GW. Diffusion-perfusion MRI for triaging transient ischemic attack and acute cerebrovascular syndromes. Curr Opin Neurol. 2011;24(1):44-49.
    13. Howard MA, Krause K, Khawaja N, et al. Beyond patient reported pain: Perfusion magnetic resonance imaging demonstrates reproducible cerebral representation of ongoing post-surgical pain. PLoS One. 2011;6(2):e17096.
    14. Howard MA, Sanders D, Krause K, et al. Alterations in resting-state regional cerebral blood flow demonstrate ongoing pain in osteoarthritis: An arterial spin-labeled magnetic resonance imaging study. Arthritis Rheum. 2012;64(12):3936-3946.
    15. Liu J, Hao Y, Du M, et al.  Quantitative cerebral blood flow mapping and functional connectivity of postherpetic neuralgia pain: A perfusion fMRI study. Pain. 2013;154(1):110-118.
    16. Aquino D, Di Stefano AL, Scotti A, et al. Parametric response maps of perfusion MRI may identify recurrent glioblastomas responsive to bevacizumab and irinotecan. PLoS One. 2014;9(3):e90535.
    17. Ziegelitz D, Starck G, Kristiansen D, et al. Cerebral perfusion measured by dynamic susceptibility contrast MRI is reduced in patients with idiopathic normal pressure hydrocephalus. J Magn Reson Imaging. 2014;39(6):1533-1542.
    18. Blauwblomme T, Naggara O, Brunelle F, et al. Arterial spin labeling magnetic resonance imaging: Toward noninvasive diagnosis and follow-up of pediatric brain arteriovenous malformations. J Neurosurg Pediatr. 2015;15(4):451-458.
    19. Reardon DA, Ballman KV, Buckner JC, et al. Impact of imaging measurements on response assessment in glioblastoma clinical trials. Neuro Oncol. 2014;16 Suppl 7:vii24-vii35.
    20. Graff-Radford NR. Normal pressure hydrocephalus. UpToDate Inc., Waltham, MA. Last reviewed May 2015.
    21. Boxerman JL, Ellingson BM. Response assessment and magnetic resonance imaging issues for clinical trials involving high-grade gliomas. Top Magn Reson Imaging. 2015;24(3):127-136.
    22. Huang RY, Neagu MR, Reardon DA, Wen PY. Pitfalls in the neuroimaging of glioblastoma in the era of antiangiogenic and immuno/targeted therapy - detecting illusive disease, defining response. Front Neurol. 2015;6:33.
    23. Innes CR, Kelly PT, Hlavac M, et al. Decreased regional cerebral perfusion in moderate-severe obstructive sleep apnoea during wakefulness. Sleep. 2015;38(5):699-706.
    24. Wang Y, West JD, Bailey JN, et al. Decreased cerebral blood flow in chronic pediatric mild TBI: An MRI perfusion study. Dev Neuropsychol. 2015;40(1):40-44.
    25. Fernndez-Seara MA, Mengual E, Vidorreta M, et al. Resting state functional connectivity of the subthalamic nucleus in Parkinson's disease assessed using arterial spin-labeled perfusion fMRI. Hum Brain Mapp. 2015;36(5):1937-1950.
    26. Filice S, Crisi G. Dynamic contrast-enhanced perfusion MRI of high grade brain gliomas obtained with arterial or venous waveform input function. J Neuroimaging. 2015 Apr 29 [Epub ahead of print].
    27. Ziegelitz D, Arvidsson J, Hellstrom P, et al. In patients with idiopathic normal pressure hydrocephalus postoperative cerebral perfusion changes measured by dynamic susceptibility contrast magnetic resonance imaging correlate with clinical improvement. J Comput Assist Tomogr. 2015 May 13 [Epub ahead of print].
    28. Verclytte S, Lopes R, Lenfant P, et al. Cerebral hypoperfusion and hypometabolism detected by arterial spin labeling MRI and FDG-PET in early-onset Alzheimer's disease. J Neuroimaging. 2015 May 29 [Epub ahead of print].

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