Dynamic perfusion analysis in acute ischemic stroke: A comparative study of two different softwares

2021 ◽  
pp. 1-9
Author(s):  
Cornelius Krusche ◽  
Carolina Rio Bartulos ◽  
Mazen Abu-Mugheisib ◽  
Michael Haimerl ◽  
Philipp Wiggermann
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Data Sets ◽  
Infarct Core ◽  
Perfusion Computed Tomography ◽  
Experienced Radiologist ◽  
Automated Software ◽  
Good Agreement

BACKGROUND: In clinical practice, decisions often must be made rapidly; therefore, automated software is useful for diagnostic support. Perfusion computed tomography and follow-up evaluation of perfusion data are valuable tools for selecting the optimal recanalization therapy in patients with acute ischemic stroke. OBJECTIVE: This study aimed to compare commercially available software used to evaluate stroke patients prior to thrombectomy. METHODS: The performance of Olea Sphere (OlS) software vs. CT Neuro Perfusion from Syngo (Sy), as well as the electronic Alberta Stroke Program Early Computed Tomography Score (e-ASPECTS) software vs. an experienced radiologist, were compared using descriptive statistics including significance analysis, Spearman’s correlation, and the Bland-Altman agreement analysis. For this purpose, 43 data sets of patients with stroke symptoms related to the middle cerebral artery territory were retrospectively post-processed with both tools and analyzed. RESULTS: The automatic e-ASPECTS showed high agreement with an expert rater assessment of the ASPECTS. Using OlS and Sy, we compared the parameters for the ischemic core (relative cerebral blood flow), Time to maximum (Tmax) for the penumbra, and the relative mismatch between these two values. Overall, both software tools achieved good agreement, and their respective values correlated well with each other. However, OlS predicted significantly smaller infarct core volumes compared with Sy. CONCLUSIONS: Although the absolute values have a certain degree of variation, both software programs have good agreement with each other.

Abstract WMP15: Automated Volumetric Assessment of Infarct Core in Non-Contrast Computed Tomography in Patients With Acute Ischemic Stroke Secondary to Large Vessel Occlusion

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Alvaro Garcia-Tornel ◽  
Matias Deck ◽  
Marc Ribo ◽  
David Rodriguez-Luna ◽  
Jorge Pagola ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Functional Outcome ◽  
Infarct Volume ◽  
Large Vessel Occlusion ◽  
Infarct Core ◽  
Vessel Occlusion ◽  
Good Functional Outcome ◽  
Volumetric Assessment

Introduction: Perfusion imaging has emerged as an imaging tool to select patients with acute ischemic stroke (AIS) secondary to large vessel occlusion (LVO) for endovascular treatment (EVT). We aim to compare an automated method to assess the infarct ischemic core (IC) in Non-Contrast Computed Tomography (NCCT) with Computed Tomography Perfusion (CTP) imaging and its ability to predict functional outcome and final infarct volume (FIV). Methods: 494 patients with anterior circulation stroke treated with EVT were included. Volumetric assessment of IC in NCCT (eA-IC) was calculated using eASPECTS™ (Brainomix, Oxford). CTP was processed using availaible software considering CTP-IC as volume of Cerebral Blood Flow (CBF) <30% comparing with the contralateral hemisphere. FIV was calculated in patients with complete recanalization using a semiautomated method with a NCCT performed 48-72 hours after EVT. Complete recanalization was considered as modified Thrombolysis In Cerebral Ischemia (mTICI) ≥2B after EVT. Good functional outcome was defined as modified Rankin score (mRs) ≤2 at 90 days. Statistical analysis was performed to assess the correlation between EA-IC and CTP-IC and its ability to predict prognosis and FIV. Results: Median eA-IC and CTP-IC were 16 (IQR 7-31) and 8 (IQR 0-28), respectively. 419 patients (85%) achieved complete recanalization, and their median FIV was 17.5cc (IQR 5-52). Good functional outcome was achieved in 230 patients (47%). EA-IC and CTP-IC had moderate correlation between them (r=0.52, p<0.01) and similar correlation with FIV (r=0.52 and 0.51, respectively, p<0.01). Using ROC curves, both methods had similar performance in its ability to predict good functional outcome (EA-IC AUC 0.68 p<0.01, CTP-IC AUC 0.66 p<0.01). Multivariate analysis adjusted by confounding factors showed that eA-IC and CTP-IC predicted good functional outcome (for every 10cc and >40cc, OR 1.5, IC1.3-1.8, p<0.01 and OR 1.3, IC1.1-1.5, p<0.01, respectively). Conclusion: Automated volumetric assessment of infarct core in NCCT has similar performance predicting prognosis and final infarct volume than CTP. Prospective studies should evaluate a NCCT-core / vessel occlusion penumbra missmatch as an alternative method to select patients for EVT.

scholarly journals Computed Tomography Perfusion–Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic Stroke

Stroke ◽  
2021 ◽  
Vol 52 (1) ◽  
pp. 223-231
Author(s):  
Hulin Kuang ◽  
Wu Qiu ◽  
Anna M. Boers ◽  
Scott Brown ◽  
Keith Muir ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Infarct Volume ◽  
Interquartile Range ◽  
Time Dependent ◽  
Computed Tomography Perfusion

Background and Purpose: Prediction of infarct extent among patients with acute ischemic stroke using computed tomography perfusion is defined by predefined discrete computed tomography perfusion thresholds. Our objective is to develop a threshold-free computed tomography perfusion–based machine learning (ML) model to predict follow-up infarct in patients with acute ischemic stroke. Methods: Sixty-eight patients from the PRoveIT study (Measuring Collaterals With Multi-Phase CT Angiography in Patients With Ischemic Stroke) were used to derive a ML model using random forest to predict follow-up infarction voxel by voxel, and 137 patients from the HERMES study (Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials) were used to test the derived ML model. Average map, T max , cerebral blood flow, cerebral blood volume, and time variables including stroke onset-to-imaging and imaging-to-reperfusion time, were used as features to train the ML model. Spatial and volumetric agreement between the ML model predicted follow-up infarct and actual follow-up infarct were assessed. Relative cerebral blood flow <0.3 threshold using RAPID software and time-dependent T max thresholds were compared with the ML model. Results: In the test cohort (137 patients), median follow-up infarct volume predicted by the ML model was 30.9 mL (interquartile range, 16.4–54.3 mL), compared with a median 29.6 mL (interquartile range, 11.1–70.9 mL) of actual follow-up infarct volume. The Pearson correlation coefficient between 2 measurements was 0.80 (95% CI, 0.74–0.86, P <0.001) while the volumetric difference was −3.2 mL (interquartile range, −16.7 to 6.1 mL). Volumetric difference with the ML model was smaller versus the relative cerebral blood flow <0.3 threshold and the time-dependent T max threshold ( P <0.001). Conclusions: A ML using computed tomography perfusion data and time estimates follow-up infarction in patients with acute ischemic stroke better than current methods.

Perfusion Computed Tomography in Acute Ischemic Stroke

2019 ◽  
Vol 57 (6) ◽  
pp. 1109-1116
Author(s):  
Jeremy J. Heit ◽  
Eric S. Sussman ◽  
Max Wintermark
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Perfusion Computed Tomography

scholarly journals Endovascular Treatment Effect Diminishes With Increasing Thrombus Perviousness

Stroke ◽  
2021 ◽  
Author(s):  
Manon Kappelhof ◽  
Manon L. Tolhuisen ◽  
Kilian M. Treurniet ◽  
Bruna G. Dutra ◽  
Heitor Alves ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Endovascular Treatment ◽  
Acute Ischemic Stroke ◽  
Functional Outcome ◽  
Odds Ratio ◽  
Infarct Volume ◽  
Treatment Allocation ◽  
Common Odds Ratio

Background and Purpose: Thrombus perviousness estimates residual flow along a thrombus in acute ischemic stroke, based on radiological images, and may influence the benefit of endovascular treatment for acute ischemic stroke. We aimed to investigate potential endovascular treatment (EVT) effect modification by thrombus perviousness. Methods: We included 443 patients with thin-slice imaging available, out of 1766 patients from the pooled HERMES (Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke trials) data set of 7 randomized trials on EVT in the early window (most within 8 hours). Control arm patients (n=233) received intravenous alteplase if eligible (212/233; 91%). Intervention arm patients (n=210) received additional EVT (prior alteplase in 178/210; 85%). Perviousness was quantified by thrombus attenuation increase on admission computed tomography angiography compared with noncontrast computed tomography. Multivariable regression analyses were performed including multiplicative interaction terms between thrombus attenuation increase and treatment allocation. In case of significant interaction, subgroup analyses by treatment arm were performed. Our primary outcome was 90-day functional outcome (modified Rankin Scale score), resulting in an adjusted common odds ratio for a one-step shift towards improved outcome. Secondary outcomes were mortality, successful reperfusion (extended Thrombolysis in Cerebral Infarction score, 2B–3), and follow-up infarct volume (in mL). Results: Increased perviousness was associated with improved functional outcome. After adding a multiplicative term of thrombus attenuation increase and treatment allocation, model fit improved significantly ( P =0.03), indicating interaction between perviousness and EVT benefit. Control arm patients showed significantly better outcomes with increased perviousness (adjusted common odds ratio, 1.2 [95% CI, 1.1–1.3]). In the EVT arm, no significant association was found (adjusted common odds ratio, 1.0 [95% CI, 0.9–1.1]), and perviousness was not significantly associated with successful reperfusion. Follow-up infarct volume (12% [95% CI, 7.0–17] per 5 Hounsfield units) and chance of mortality (adjusted odds ratio, 0.83 [95% CI, 0.70–0.97]) decreased with higher thrombus attenuation increase in the overall population, without significant treatment interaction. Conclusions: Our study suggests that the benefit of best medical care including alteplase, compared with additional EVT, increases in patients with more pervious thrombi.

scholarly journals Perfusion Computed Tomography Accurately Quantifies Collateral Flow After Acute Ischemic Stroke

Stroke ◽  
2020 ◽  
Vol 51 (3) ◽  
pp. 1006-1009 ◽  
Author(s):  
Longting Lin ◽  
Chushuang Chen ◽  
Huiqiao Tian ◽  
Andrew Bivard ◽  
Neil Spratt ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Collateral Flow ◽  
Perfusion Computed Tomography

Abstract P140: Do Perfusion Computed Tomography Abnormalities in Patients With Transient Ischemic Attack Predict Subsequent Ischemic Stroke and Cardiovascular Event

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Aisha Abdulrazaq ◽  
Muhammad F Ishfaq ◽  
Sachin Bhagavan ◽  
Ammad Ishfaq ◽  
Brandi R French ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Cardiovascular Events ◽  
Ct Perfusion ◽  
Mean Transit Time ◽  
Imaging Protocol ◽  
Perfusion Computed Tomography ◽  
Blood Flow Reduction ◽  
Ischemic Attack

Background and purpose: To determine if computed tomography (CT) perfusion (CTP) abnormalities in patients with transient ischemic attacks (TIA) are associated with development of ischemic strokes or adverse cardiovascular events within 24 months. Methods: Patients with a diagnosis of TIA who underwent CTP within 24 hours of symptom onset as part of the stroke/TIA imaging protocol were analysed. Abnormality was defined as an area of well demarcated mean transit time delay and/or cerebral blood flow reduction corresponding to an arterial territory as identified by an independent neuroradiologist. The patients were followed for at least 3 months and up to 24 months to identify occurrence of ischemic stroke and cardiovascular events (myocardial infarction or ischemia). Results: A total of 78 patients (mean age 67.60 +/- 15.1 ; 48 were men) with a diagnosis of TIA. A total of 17 patients (22%) had documented CTP abnormalities. Patients with CTP abnormalities were older and more likely to be men. There was no difference in the rates of ischemic stroke (5.9 % vs 3.3 %), or cardiovascular events (0% versus 1.6 %) when patients with CTP abnormalities were compared to those with normal CTP. Conclusions: In patients with TIA, an abnormal CTP does not predict the occurence of new ischemic stroke or cardiovascular events during follow up.

Perfusion Computed Tomography-Guided Intravenous Thrombolysis for Acute Ischemic Stroke beyond 4.5 Hours: A Case-Control Study

2012 ◽  
Vol 34 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Pablo García-Bermejo ◽  
Ana I. Calleja ◽  
Santiago Pérez-Fernández ◽  
Elisa Cortijo ◽  
José M. del Monte ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Case Control Study ◽  
Intravenous Thrombolysis ◽  
Case Control ◽  
Perfusion Computed Tomography ◽  
Control Study
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