Abstract T MP4: Quality of CT Perfusion Imaging Thresholds for Infarct and Penumbra in the Acute Ischemic Stroke Setting: An Updated Systematic Review

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Christopher d'Esterre ◽  
Jonathan Dykeman ◽  
Mohamed Al-mekhlafi ◽  
Petra Cimflova ◽  
Shivanand Patil ◽  
...  

Background: CT Perfusion (CTP) may inform treatment decisions in acute ischemic stroke (AIS). We sought to determine extent of variability with CTP thresholds for infarct core and penumbra and reasons for such variability using an up-to-date systematic review. Methods: Search strategy combined the themes of AIS, perfusion imaging, and CT/MRI. Two independent reviewers screened at all levels; disagreements were settled through consensus. Inclusion criteria were CTP within 24hrs of stroke onset and reported perfusion thresholds for infarct core, penumbra, and/or normal/not at risk tissue for mixed grey/white matter. Study demographics, QUADAS assessment of quality, and mean thresholds of cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time (MTT), relative CBV (rCBV), relative CBF (rCBF), and relative MTT (rMTT) were collected. Thresholds were reported as median mean threshold (interquartile range). Results: The search resulted in a total of 11919 abstracts from EMBASE and MEDLINE. Of these, 711 studies were identified for full-text review, 134 met all eligibility criteria. 29 studies provided thresholds for CTP and were included in the review. For CBF, median mean threshold was 8.64 (7.94-13.92) ml/min/100g for core, 19.1 (17.1-31.9) ml/min/100g for penumbra and 47.4 (35.6-59.1) ml/min/100g for normal/not at risk tissue. For CBV, median mean threshold was 1.0 (0.68-1.88) ml/100g for core, 2.45 (2.0-3.0) ml/100g for penumbra, and 2.65 (2.0-3.3) ml/100g for normal/not at risk tissue. For MTT median mean threshold was 15.6 (15.3-17.7) seconds for core, 10.5 (7.1-46.2) seconds for penumbra, and 3.9 (3.65-4.15) seconds for normal/not at risk tissue. Median mean threshold for rCBF was 29% (22.5%-35.5%) for core. Sufficient TTP and Tmax data were not reported. Overall, quality was highly variable according QUADAS ranging from 20.7% to 93.1% across the 14 variables. Conclusions: Due to heterogeneity of vendor CTP algorithms, follow-up imaging to define infarct core (NCCT, DWI), unknown recanalization times/reperfusion status and differing onset to CT times, CTP thresholds for infarct core and penumbra are highly variable. As such, a single best threshold for core could not be derived from literature.

2016 ◽  
Vol 8 (12) ◽  
pp. 1211-1216 ◽  
Author(s):  
Arturo Consoli ◽  
Tommy Andersson ◽  
Ake Holmberg ◽  
Luca Verganti ◽  
Andrea Saletti ◽  
...  

BackgroundThe purpose of this study was to evaluate the correlation between a novel angiographic score for collaterals and CT perfusion (CTP) parameters in patients undergoing endovascular treatment for acute ischemic stroke (AIS).Methods103 patients (mean age 66.7±12.7; 48.5% men) with AIS in the anterior circulation territory, imaged with non-contrast CT, CT angiography, and CTP, admitted within 8 h from symptom onset and treated with any endovascular approach, were retrospectively included in the study. Clinical, neuroradiological data, and all time intervals were collected. Careggi Collateral Score (CCS) was used for angiographic assessment of collaterals and the Alberta Stroke Program Early CT Score (ASPECTS) for semiquantitative analysis of CTP maps. Two centralized core laboratories separately reviewed angiographic data, whereas CT findings were evaluated by an expert neuroradiologist. Univariate and multivariate analysis were performed considering CCS both as an ordinal and a dichotomous variable.Results37/103 patients (35.9%) received intravenous tissue plasminogen activator. Median (IQR) ASPECTS was 9 (6–10) for admission CT, 9 (5–10) for cerebral blood volume (CBV) maps, 3 (2–3) for mean transit time maps, 3 (2–4), for cerebral blood flow maps, and 5 (3–7) for CTP mismatch. Univariate analysis showed a significant correlation between CCS and ASPECTS for all CTP parameters. Multivariate analysis confirmed an independent association only between CCS and CBV (p=0.020 when CCS was considered as a dichotomous variable, p=0.026 with ordinal CCS).ConclusionsA correlation between angiographic assessment of the collateral circulation and CTP seems to be present, suggesting that CCS may provide an indirect evaluation of the infarct core volume to consider for patient selection in AIS.


2017 ◽  
Vol 10 (3) ◽  
pp. 279-284 ◽  
Author(s):  
Katsuharu Kameda ◽  
Junji Uno ◽  
Ryosuke Otsuji ◽  
Nice Ren ◽  
Shintaro Nagaoka ◽  
...  

Background and purposeOptimal thresholds for ischemic penumbra detected by CT perfusion (CTP) in patients with acute ischemic stroke (AIS) have not been elucidated. In this study we investigated optimal thresholds for salvageable ischemic penumbra and the risk of hemorrhagic transformation (HT).MethodsA total of 156 consecutive patients with AIS treated with mechanical thrombectomy (MT) at our hospital were enrolled. Absolute (a) and relative (r) CTP parameters including cerebral blood flow (aCBF and rCBF), cerebral blood volume (aCBV and rCBV), and mean transit time (aMTT and rMTT) were evaluated for their value in detecting ischemic penumbra in each of seven arbitrary regions of interest defined by the major supplying blood vessel. Optimal thresholds were calculated by performing receiver operating characteristic curve analysis in 47 patients who achieved Thrombolysis In Cerebral Infarction (TICI) grade 3 recanalization. The risk of HT after MT was evaluated in 101 patients who achieved TICI grade 2b–3 recanalization.ResultsAbsolute CTP parameters for distinguishing ischemic penumbra from ischemic core were as follows: aCBF, 27.8 mL/100 g/min (area under the curve 0.82); aCBV, 2.1 mL/100 g (0.75); and aMTT, 7.30 s (0.70). Relative CTP parameters were as follows: rCBF, 0.62 (0.81); rCBV, 0.83 (0.87); and rMTT, 1.61 (0.73). CBF was significantly lower in areas of HT than in areas of infarction (aCBF, p<0.01; rCBF, p<0.001).ConclusionsCTP may be able to predict treatable ischemic penumbra and the risk of HT after MT in patients with AIS.


2005 ◽  
Vol 25 (10) ◽  
pp. 1280-1287 ◽  
Author(s):  
Michael S Bristow ◽  
Jessica E Simon ◽  
Robert A Brown ◽  
Michael Eliasziw ◽  
Michael D Hill ◽  
...  

It is thought that gray and white matter (GM and WM) have different perfusion and diffusion thresholds for cerebral infarction in humans. We sought to determine these thresholds with voxel-by-voxel, tissue-specific analysis of coregistered acute and follow-up magnetic resonance (MR) perfusion- and diffusion-weighted imaging. Quantitative cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), and apparent diffusion coefficient (ADC) maps were analyzed from nine acute stroke patients (imaging acquired within 6 h of onset). The average values of each measure were calculated for GM and WM in normally perfused tissue, the region of recovered tissue and in the final infarct. Perfusion and diffusion thresholds for infarction were determined on a patient-by-patient basis in GM and WM separately by selecting thresholds with equal sensitivities and specificities. Gray matter has higher thresholds for infarction than WM ( P<0.009) for CBF (20.0 mL/100 g min in GM and 12.3 mL/100 g min in WM), CBV (2.4 mL/100 g in GM and 1.7 mL/100 g in WM), and ADC (786 × 10−6 mm2/s in GM and 708 × 10−6 mm2/s in WM). The MTT threshold for infarction in GM is lower ( P = 0.014) than for WM (6.8 secs in GM and 7.1 secs in WM). A single common threshold applied to both tissues overestimates tissue at risk in WM and underestimates tissue at risk in GM. This study suggests that tissue-specific analysis of perfusion and diffusion imaging is required to accurately predict tissue at risk of infarction in acute ischemic stroke.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Qiaoshu Wang ◽  
Yanyan Cao ◽  
Yongbo Zhao ◽  
Louis Caplan

Background and Purpose: Hemorrhage transformation (HT) is common in patients with acute cerebral infarction caused by atrial fibrillation. The prediction of HT is crucial after acute stroke, especially for the patients received vessel recanalization therapy. The Alberta Stroke program early CT score (ASPECTS) is used to estimate early ischemic changes within the MCA territory in the acute stroke setting. Several studies indicated that CT perfusion (CTP) and MR diffusion weighted imaging (DWI) ASPECTS scores was useful to quantify the degree of ischemic brain tissue. Hereby we did the study to explore the association of CT perfusion ASPECTS scores with HT in patients with acute ischemic stroke and atrial fibrillation. Methods: This was a single center retrospective study. All patients with middle cerebral artery infarction and atrial fibrillation from September 2008 to September 2013 were included. MR imaging including DWI and gradient echo sequence (GRE), and CTP were required to identify the HT and determine the scores of CTP- ASPECTS. Demographic and clinical characteristics of the HT positive and negative groups were explored. Results: Fifty-four patients were analyzed, among them twenty-four patients (44%) developed HT. According to logistic regression analysis, mean transit time (MTT), cerebral blood volume (CBV) and DWI-ASPECTS scores were associated with HT ( p = 0.035, 0.044, and 0.020 respectively). The following receiver operating characteristics (ROC) analysis revealed area under the curve of MTT, CBV, CBF and DWI were 0.588, 0.737, 0.687, and 0.841 respectively. CBV-ASPECTS score was found to have medium prediction value of HT among all CTP-ASPECTS parameters. ROC analysis also indicated that CBV-ASPECTS score < 7 was the optimal threshold. Conclusions: CTP-ASPECTS was useful to predict the HT of acute ischemic stroke caused by atrial fibrillation and CBV-ASPECTS score < 7 was the preferable parameter.


2015 ◽  
Vol 36 (10) ◽  
pp. 1777-1783 ◽  
Author(s):  
Christopher D. d’Esterre ◽  
Gloria Roversi ◽  
Marina Padroni ◽  
Andrea Bernardoni ◽  
Carmine Tamborino ◽  
...  

2013 ◽  
Vol 35 (6) ◽  
pp. 493-501 ◽  
Author(s):  
J.M. Biesbroek ◽  
J.M. Niesten ◽  
J.W. Dankbaar ◽  
G.J. Biessels ◽  
B.K. Velthuis ◽  
...  

2020 ◽  
pp. 028418512098177
Author(s):  
Yu Lin ◽  
Nannan Kang ◽  
Jianghe Kang ◽  
Shaomao Lv ◽  
Jinan Wang

Background Color-coded multiphase computed tomography angiography (mCTA) can provide time-variant blood flow information of collateral circulation for acute ischemic stroke (AIS). Purpose To compare the predictive values of color-coded mCTA, conventional mCTA, and CT perfusion (CTP) for the clinical outcomes of patients with AIS. Material and Methods Consecutive patients with anterior circulation AIS were retrospectively reviewed at our center. Baseline collateral scores of color-coded mCTA and conventional mCTA were assessed by a 6-point scale. The reliabilities between junior and senior observers were assessed by weighted Kappa coefficients. Receiver operating characteristic (ROC) curves and multivariate logistic regression model were applied to evaluate the predictive capabilities of color-coded mCTA and conventional mCTA scores, and CTP parameters (hypoperfusion and infarct core volume) for a favorable outcome of AIS. Results A total of 138 patients (including 70 cases of good outcomes) were included in our study. Patients with favorable prognoses were correlated with better collateral circulations on both color-coded and conventional mCTA, and smaller hypoperfusion and infarct core volume (all P < 0.05) on CTP. ROC curves revealed no significant difference between the predictive capability of color-coded and conventional mCTA ( P = 0.427). The predictive value of CTP parameters tended to be inferior to that of color-coded mCTA score (all P < 0.001). Both junior and senior observers had consistently excellent performances (κ = 0.89) when analyzing color-coded mCTA maps. Conclusion Color-coded mCTA provides prognostic information of patients with AIS equivalent to or better than that of conventional mCTA and CTP. Junior radiologists can reach high diagnostic accuracy when interpreting color-coded mCTA images.


Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Bruce C Campbell ◽  
Søren Christensen ◽  
Christopher R Levi ◽  
Patricia M Desmond ◽  
Geoffrey A Donnan ◽  
...  

Background and purpose: CT-perfusion (CTP) is widely and rapidly accessible for imaging acute ischemic stroke. However, there has been limited validation of CTP parameters against the more intensively studied MRI perfusion-diffusion mismatch paradigm. We tested the correspondence of CTP with contemporaneous perfusion-diffusion MRI. Methods: Acute ischemic stroke patients <6hr after onset had CTP and perfusion-diffusion MRI within 1hr, before reperfusion therapies. Relative cerebral blood flow (relCBF) and time-to-peak of the deconvolved tissue-residue-function (Tmax) were calculated (standard singular value decomposition deconvolution). The diffusion lesion was registered to the CTP slabs and manually outlined to its maximal visual extent. CT-infarct core was defined as relCBF<31% contralateral mean as previously published using this software. The volumetric accuracy of relCBF core compared to the diffusion lesion was tested in isolation, but also when restricted to pixels with relative time-to-peak (TTP) >4sec, to reduce artifactual false positive low CBF (eg in leukoaraiosis). The MR Tmax>6sec perfusion lesion (previously validated to define penumbral tissue at risk of infarction) was automatically segmented and registered to the CTP slabs. Receiver operating characteristic (ROC) analysis determined the optimal CT-Tmax threshold to match MR-Tmax>6sec, confidence intervals generated by bootstrapping. Agreement of these CT parameters with MR perfusion-diffusion mismatch on co-registered slabs was assessed (mismatch ratio >1.2, absolute mismatch>10mL, infarct core<70mL). Results: In analysis of 98 CTP slabs (54 patients, median onset to CT 190min, median CT to MR 30min), volumetric agreement with the diffusion lesion was substantially improved by constraining relCBF<31% within the automated TTP perfusion lesion ROI (median magnitude of volume difference 9.0mL vs unconstrained 13.9mL, p<0.001). ROC analysis demonstrated the best CT-Tmax threshold to match MR-Tmax>6sec was 6.2sec (95% confidence interval 5.6-7.3sec, ie not significantly different to 6sec), sensitivity 91%, specificity 70%, AUC 0.87. Using CT-Tmax>6s “penumbra” and relCBF<31% (restricted to TTP>4s) “core”, volumetric agreement was sufficient for 90% concordance between CT and MRI-based mismatch status (kappa 0.80). Conclusions: Automated CTP mismatch classification using relCBF and Tmax is similar to perfusion-diffusion MRI. CTP may allow more widespread application of the “mismatch” paradigm in clinical practice and trials.


2021 ◽  
pp. neurintsurg-2021-017510
Author(s):  
Arne Potreck ◽  
Fatih Seker ◽  
Matthias Anthony Mutke ◽  
Charlotte Sabine Weyland ◽  
Christian Herweh ◽  
...  

ObjectivesAutomated CT perfusion mismatch assessment is an established treatment decision tool in acute ischemic stroke. However, the reliability of this method in patients with head motion is unclear. We therefore sought to evaluate the influence of head movement on automated CT perfusion mismatch evaluation.MethodsUsing a realistic CT brain-perfusion-phantom, 7 perfusion mismatch scenarios were simulated within the left middle cerebral artery territory. Real CT noise and artificial head movement were added. Thereafter, ischemic core, penumbra volumes and mismatch ratios were evaluated using an automated mismatch analysis software (RAPID, iSchemaView) and compared with ground truth simulated values.ResultsWhile CT scanner noise alone had only a minor impact on mismatch evaluation, a tendency towards smaller infarct core estimates (mean difference of −5.3 (−14 to 3.5) mL for subtle head movement and −7.0 (−14.7 to 0.7) mL for strong head movement), larger penumbral estimates (+9.9 (−25 to 44) mL and +35 (−14 to 85) mL, respectively) and consequently larger mismatch ratios (+0.8 (−1.5 to 3.0) for subtle head movement and +1.9 (−1.3 to 5.1) for strong head movement) were noted in dependence of patient head movement.ConclusionsMotion during CT perfusion acquisition influences automated mismatch evaluation. Potentially treatment-relevant changes in mismatch classifications in dependence of head movement were observed and occurred in favor of mechanical thrombectomy.


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