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Strinitz M, Zimmer C, Berndt M, Wunderlich S, Boeckh-Behrens T, Maegerlein C, Sepp D. High relative cerebral blood volume is associated with good long term clinical outcomes in acute ischemic stroke: a retrospective cohort study. BMC Neurol 2024; 24:294. [PMID: 39187761 PMCID: PMC11345997 DOI: 10.1186/s12883-024-03806-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 08/14/2024] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND Endovascular therapy for acute ischemic stroke has been shown to be highly effective in selected patients. However, the ideal criteria for patient selection are still debated. It is well known that collateral flow is an important factor, but the assessment is often subjective and time-consuming. Relative cerebral blood volume (rCBV) is a putative indicator of collateral capacity and can be quickly and easily determined by automated quantitative analysis. We investigated the relationship between rCBV of the affected region and clinical outcome in patients with acute ischemic stroke after endovascular therapy. METHODS We conducted a retrospective study on consecutive patients between January 2017 and May 2019. Patients with acute ischemic stroke of the anterior circulation who underwent imaging including computed tomography perfusion and were treated with mechanical thrombectomy (MT) were eligible for inclusion. rCBV was calculated automatically with RAPID software by dividing the average cerebral blood volume (CBV) of the affected region (time-to-maximum (Tmax) > 6 s) by the CBV of the unaffected contralateral side. The primary outcome was determined by the modified Rankin Scale (mRS) after 90 days. Good clinical outcome was defined as mRS ≤ 2. We compared means, performed mono- and multivariate logistical regression and calculated a receiver operating characteristic (ROC)-analysis to determine the ideal cutoff value to predict clinical outcomes. RESULTS 155 patients were enrolled in this study. 66 patients (42.58%) had good clinical outcomes. Higher rCBV was associated with good clinical outcome (p < 0.001), even after adjustment for the patients' status according to mRS and National Institute of Health Stroke Scale (NIHSS) age and Alberta stroke program early computed tomography score (ASPECTS) at baseline (p = 0.006). ROC-analysis revealed 0.650 (confidence interval: 0.616-0.778) as the optimal cutoff value. CONCLUSION Higher rCBV at baseline is associated with good clinical long-term outcomes in patients with acute ischemic stroke treated by MT. In this study we provide the biggest collective so far that gives evidence that rCBV can be a valuable tool to identify patients who might benefit from MT and are able give a threshold to help to offer patients MT in borderline cases.
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Affiliation(s)
- Marc Strinitz
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany.
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Maria Berndt
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Silke Wunderlich
- Department of Neurology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Tobias Boeckh-Behrens
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Christian Maegerlein
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Dominik Sepp
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
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Liu J, Gu Y, Zhang DZ. Cerebral circulation time on DSA after thrombectomy associated with hemorrhagic transformation in acute ischemic stroke. Acta Neurochir (Wien) 2024; 166:64. [PMID: 38315216 DOI: 10.1007/s00701-024-05959-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/04/2024] [Indexed: 02/07/2024]
Abstract
BACKGROUND To investigate the association between cerebral circulation time (CCT) on digital subtraction angiography immediately after thrombectomy and hemorrhagic transformation (HT) in acute ischemic stroke (AIS). METHODS Retrospectively enrolled consecutive AIS patients presented with large vessel occlusion who received thrombectomy and achieved successful recanalization between January 2019 and June 2021. The time interval from the beginning of the siphon segment of internal carotid artery visualization until the end of the arterial phase during cerebral angiography was calculated as CCT. The independent association of CCT with HT was evaluated using logistic regression analyses. The receiver operating characteristic curve was analyzed to evaluate the association between CCT and HT. RESULTS Two hundred and twenty-four patients were included, of whom 86 (38.4%) suffered HT. Compared with patients without HT, patients with HT were of advanced age, less commonly male, had more diabetes mellitus, had higher baseline National Institutes of Health Stroke Scale score, lower Alberta Stroke Program Early Computed Tomographic Score, and shorter CCT (P < 0.05). Multivariable logistic regression suggested that CCT was independently associated with HT (adjusted odds ratio, 0.170; 95% confidence interval, 0.004-0.450; P < 0.001). According to the receiver operating characteristic curve, the optimal cut-off value for the strong correlation between CCT and HT was 1.72 s, which had 76.6% sensitivity, 81.6% specificity, and the area under the curve was 0.846. CONCLUSION Shorter post-thrombectomy CCT was independently associated with HT.
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Affiliation(s)
- Jianyu Liu
- Department of Interventional Radiology, Jiangsu Taizhou People's Hospital, Hailing District, Taizhou, Jiangsu, China
| | - Yuanyuan Gu
- Department of Emergency Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China
| | - Da-Zhong Zhang
- Department of Interventional Radiology, Jiangsu Taizhou People's Hospital, Hailing District, Taizhou, Jiangsu, China.
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Rodríguez-Vázquez A, Laredo C, Renú A, Rudilosso S, Llull L, Amaro S, Obach V, Vera V, Páez A, Oleaga L, Urra X, Chamorro Á. Optimizing the Definition of Ischemic Core in CT Perfusion: Influence of Infarct Growth and Tissue-Specific Thresholds. AJNR Am J Neuroradiol 2022; 43:1265-1270. [PMID: 35981763 PMCID: PMC9451632 DOI: 10.3174/ajnr.a7601] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/20/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE CTP allows estimating ischemic core in patients with acute stroke. However, these estimations have limited accuracy compared with MR imaging. We studied the effect of applying WM- and GM-specific thresholds and analyzed the infarct growth from baseline imaging to reperfusion. MATERIALS AND METHODS This was a single-center cohort of consecutive patients (n = 113) with witnessed strokes due to proximal carotid territory occlusions with baseline CT perfusion, complete reperfusion, and follow-up DWI. We segmented GM and WM, coregistered CTP with DWI, and compared the accuracy of the different predictions for each voxel on DWI through receiver operating characteristic analysis. We assessed the yield of different relative CBF thresholds to predict the final infarct volume and an estimated infarct growth-corrected volume (subtracting the infarct growth from baseline imaging to complete reperfusion) for a single relative CBF threshold and GM- and WM-specific thresholds. RESULTS The fixed threshold underestimated lesions in GM and overestimated them in WM. Double GM- and WM-specific thresholds of relative CBF were superior to fixed thresholds in predicting infarcted voxels. The closest estimations of the infarct on DWI were based on a relative CBF of 25% for a single threshold, 35% for GM, and 20% for WM, and they decreased when correcting for infarct growth: 20% for a single threshold, 25% for GM, and 15% for WM. The combination of 25% for GM and 15% for WM yielded the best prediction. CONCLUSIONS GM- and WM-specific thresholds result in different estimations of ischemic core in CTP and increase the global accuracy. More restrictive thresholds better estimate the actual extent of the infarcted tissue.
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Affiliation(s)
- A Rodríguez-Vázquez
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
| | - C Laredo
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
| | - A Renú
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - S Rudilosso
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - L Llull
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - S Amaro
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - V Obach
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - V Vera
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
| | - A Páez
- Radiology Department (A.P., L.O.), Hospital Clínic, Barcelona, Spain
| | - L Oleaga
- Radiology Department (A.P., L.O.), Hospital Clínic, Barcelona, Spain
| | - X Urra
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - Á Chamorro
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
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Artery diameter ratio after recanalization in endovascular therapy for acute ischemic stroke: a new predictor of clinical outcomes. Neuroradiology 2021; 64:785-793. [PMID: 34708259 DOI: 10.1007/s00234-021-02841-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 10/18/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE This study aimed to investigate the relationship between the artery diameter ratio (ADR) after recanalization and clinical outcomes. METHODS Patients with middle cerebral artery occlusion confirmed by DSA from 1 January 2018, to 31 December 2019, were retrospectively analyzed. All patients confirmed TICI grade 2b or 3. The ADR was calculated as M2 segment diameter/M1 segment diameter. Multivariate regression analysis was used to describe clinical outcomes of two groups (ADR < 0.6 and ≥ 0.6). ROC curves were used to compare different models and find the best cutoff. RESULTS A total of 143 patients were included in the study, including 77 males and 66 females, with an average age of 67.79 ± 12 years. The NIHSS at discharge was significantly higher in the ADR < 0.6 group than another group (mean, 16.37 vs. 6.19, P < 0.001). At 90 days, the cases of functional independence was significantly less in the ADR < 0.6 group (20.97% vs. 83.95%, OR 0.05, 95% CI 0.02-0.12, P < 0.001). The ADR < 0.6 group had a higher incidence of cerebral edema (P = 0.027) and sICH (P = 0.038). The ADR had the strongest power to distinguish mRS > 2 (AUC = 0.851) and DC (AUC = 0.805), and the best cutoff value are 0.6 (specificity 85.19%, sensitivity 75.81%) and 0.58 (specificity 65.96%, sensitivity 100%), respectively. CONCLUSION The low ADR is associated with poor outcomes. The decrease in ADR may be an indirect manifestation of the loss of cerebrovascular autoregulation.
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Karhi S, Tähtinen O, Aherto J, Matikka H, Manninen H, Nerg O, Taina M, Jäkälä P, Vanninen R. Effect of different thresholds for CT perfusion volumetric analysis on estimated ischemic core and penumbral volumes. PLoS One 2021; 16:e0249772. [PMID: 33882098 PMCID: PMC8059822 DOI: 10.1371/journal.pone.0249772] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 03/24/2021] [Indexed: 01/08/2023] Open
Abstract
Purpose This single-center study compared three threshold settings for automated analysis of the ischemic core (IC) and penumbral volumes using computed tomographic perfusion, and their accuracy for predicting final infarct volume (FIV) in patients with anterior circulation acute ischemic stroke (AIS). Methods Fifty-two consecutive AIS patients undergoing mechanical thrombectomy (November 2015–March 2018) were included. Perfusion images were retrospectively analyzed using a single CT Neuro perfusion application (syngo.via 4.1, Siemens Healthcare GmbH). Three threshold values (S1–S3) were derived from another commercial package (RAPID; iSchema View) (S1), up-to-date syngo.via default values (S2), and adapted values for syngo.via from a reference study (S3). The results were compared with FIV determined by non-contrast CT. Results The median IC volume (mL) was 24.6 (interquartile range: 13.7–58.1) with S1 and 30.1 (20.1–53.1) with S2/S3. After removing the contralateral hemisphere from the analysis, the median IC volume decreased by 1.33(0–3.14) with S1 versus 9.13 (6.24–14.82) with S2/S3. The median penumbral volume (mL) was 74.52 (49.64–131.91), 77.86 (46.56–99.23), and 173.23 (125.86–200.64) for S1, S2, and S3, respectively. Limiting analysis to the affected hemisphere, the penumbral volume decreased by 1.6 (0.13–9.02), 19.29 (12.59–26.52), and 58.33 mL (45.53–74.84) for S1, S2, and S3, respectively. The correlation between IC and FIV was highest in patients with successful recanalization (n = 34, r = 0.784 for S1; r = 0.797 for S2/S3). Conclusion Optimizing thresholds significantly improves the accuracy of estimated IC and penumbral volumes. Current recommended values produce diversified results. International guidelines based on larger multicenter studies should be established to support the standardization of volumetric analysis in clinical decision-making.
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Affiliation(s)
- Simo Karhi
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Unit of Radiology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- * E-mail:
| | - Olli Tähtinen
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Unit of Radiology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Joona Aherto
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Unit of Radiology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Hanna Matikka
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
| | - Hannu Manninen
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Unit of Radiology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ossi Nerg
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Neuro Center, Kuopio University Hospital, Kuopio, Finland
| | - Mikko Taina
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Unit of Radiology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Pekka Jäkälä
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Neuro Center, Kuopio University Hospital, Kuopio, Finland
| | - Ritva Vanninen
- Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
- Unit of Radiology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
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Copelan AZ, Smith ER, Drocton GT, Narsinh KH, Murph D, Khangura RS, Hartley ZJ, Abla AA, Dillon WP, Dowd CF, Higashida RT, Halbach VV, Hetts SW, Cooke DL, Keenan K, Nelson J, Mccoy D, Ciano M, Amans MR. Recent Administration of Iodinated Contrast Renders Core Infarct Estimation Inaccurate Using RAPID Software. AJNR Am J Neuroradiol 2020; 41:2235-2242. [PMID: 33214184 DOI: 10.3174/ajnr.a6908] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 08/01/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Automated CTP software is increasingly used for extended window emergent large-vessel occlusion to quantify core infarct. We aimed to assess whether RAPID software underestimates core infarct in patients with an extended window recently receiving IV iodinated contrast. MATERIALS AND METHODS We reviewed a prospective, single-center data base of 271 consecutive patients who underwent CTA ± CTP for acute ischemic stroke from May 2018 through January 2019. Patients with emergent large-vessel occlusion confirmed by CTA in the extended window (>6 hours since last known well) and CTP with RAPID postprocessing were included. Two blinded raters independently assessed CT ASPECTS on NCCT performed at the time of CTP. RAPID software used relative cerebral blood flow of <30% as a surrogate for irreversible core infarct. Patients were dichotomized on the basis of receiving recent IV iodinated contrast (<8 hours before CTP) for a separate imaging study. RESULTS The recent IV contrast and contrast-naïve cohorts comprised 23 and 15 patients, respectively. Multivariate linear regression analysis demonstrated that recent IV contrast administration was independently associated with a decrease in the RAPID core infarct estimate (proportional increase = 0.34; 95% CI, 0.12-0.96; P = .04). CONCLUSIONS Patients who received IV iodinated contrast in proximity (<8 hours) to CTA/CTP as part of a separate imaging study had a much higher likelihood of core infarct underestimation with RAPID compared with contrast-naïve patients. Over-reliance on RAPID postprocessing for treatment disposition of patients with extended window emergent large-vessel occlusion should be avoided, particularly with recent IV contrast administration.
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Affiliation(s)
- A Z Copelan
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - E R Smith
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.).,Department of Radiology (E.R.S.), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - G T Drocton
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - K H Narsinh
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - D Murph
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - R S Khangura
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - Z J Hartley
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - A A Abla
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.).,Neurosurgery (A.A.A.), University of California, San Francisco, San Francisco, California
| | - W P Dillon
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - C F Dowd
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - R T Higashida
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - V V Halbach
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - S W Hetts
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - D L Cooke
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - K Keenan
- Department of Neurology (K.K.), University of California Davis, Sacramento, California
| | - J Nelson
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - D Mccoy
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - M Ciano
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
| | - M R Amans
- From the Departments of Diagnostic and Interventional Neuroradiology (A.Z.C., E.R.S., G.T.D., K.H.N., D.M., R.S.K., Z.J.H., A.A.A., W.P.D., C.F.D., R.T.H., V.V.H., S.W.H., D.L.C., J.N., D.M., M.C., M.R.A.)
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7
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Abstract
Occlusion of a cervical or cerebral artery may cause acute ischemic stroke (AIS). Recent advances in AIS treatment by endovascular thrombectomy have led to more widespread use of advanced computed tomography (CT) imaging, including perfusion CT (PCT). This article reviews PCT for the evaluation of AIS patients.
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Affiliation(s)
- Jeremy J Heit
- Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford Healthcare, 300 Pasteur Drive, Stanford, CA 94305, USA
| | - Eric S Sussman
- Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford Healthcare, 300 Pasteur Drive, Stanford, CA 94305, USA; Department of Neurosurgery, Stanford Healthcare, 300 Pasteur Drive, Stanford, CA 94305, USA
| | - Max Wintermark
- Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford Healthcare, 300 Pasteur Drive, Stanford, CA 94305, USA.
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8
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Carbone F, Busto G, Padroni M, Bernardoni A, Colagrande S, Dallegri F, Montecucco F, Fainardi E. Radiologic Cerebral Reperfusion at 24 h Predicts Good Clinical Outcome. Transl Stroke Res 2019; 10:178-188. [PMID: 29949087 DOI: 10.1007/s12975-018-0637-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 05/08/2018] [Accepted: 06/04/2018] [Indexed: 12/11/2022]
Abstract
Cerebral reperfusion and arterial recanalization are radiological features of the effectiveness of thrombolysis in acute ischemic stroke (AIS) patients. Here, an investigation of the prognostic role of early recanalization/reperfusion on clinical outcome was performed. In AIS patients (n = 55), baseline computerized tomography (CT) was performed ≤ 8 h from symptom onset, whereas CT determination of reperfusion/recanalization was assessed at 24 h. Multiple linear and logistic regression models were used to correlate reperfusion/recanalization with radiological (i.e., hemorrhagic transformation, ischemic core, and penumbra volumes) and clinical outcomes (assessed as National Institutes of Health Stroke Scale [NIHSS] reduction ≥ 8 points or a NIHSS ≤ 1 at 24 h and as modified Rankin Scale [mRS] < 2 at 90 days). At 24 h, patients achieving radiological reperfusion were n = 24, while the non-reperfused were n = 31. Among non-reperfused, n = 15 patients were recanalized. Radiological reperfusion vs. recanalization was also confirmed by early increased levels of circulating inflammatory biomarkers (i.e., serum osteopontin). In multivariate analysis, ischemic lesion volume reduction was associated with both recanalization (β = 0.265; p = 0.014) and reperfusion (β = 0.461; p < 0.001), but only reperfusion was independently associated with final infarct volume (β = - 0.333; p = 0.007). Only radiological reperfusion at 24 h predicted good clinical response at day 1 (adjusted OR 16.054 [1.423-181.158]; p = 0.025) and 90-day good functional outcome (adjusted OR 25.801 [1.483-448.840]; p = 0.026). At ROC curve analysis the AUC of reperfusion was 0.777 (p < 0.001) for the good clinical response at 24 h and 0.792 (p < 0.001) for 90-day clinical outcome. Twenty-four-hour radiological reperfusion assessed by CT is associated with good clinical response on day 1 and good functional outcome on day 90 in patients with ischemic stroke.
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Affiliation(s)
- Federico Carbone
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa School of Medicine, 6 viale Benedetto XV, 13132, Genoa, Italy.
| | - Giorgio Busto
- Struttura Organizzativa Dipartimentale di Radiodiagnostica 2, Dipartimento di Scienze Biomediche, Sperimentali e Cliniche, Università degli Studi di Firenze, Azienda Ospedaliero-Universitaria Careggi, 3 Largo Brambilla, 50134, Florence, Italy
| | - Marina Padroni
- Unità Operativa di Neurologia, Dipartimento di Scienze Biologiche, Psichiatriche e Psicologiche, Università di Ferrara, Arcispedale S. Anna, Ferrara, Italy
| | - Andrea Bernardoni
- Unità Operativa di Neuroradiologia, Dipartimento di Neuroscienze, Azienda Ospedaliero-Universitaria di Ferrara, Arcispedale S. Anna, 203 Corso della Giovecca, 44121, Ferrara, Italy
| | - Stefano Colagrande
- Struttura Organizzativa Dipartimentale di Radiodiagnostica 2, Dipartimento di Scienze Biomediche, Sperimentali e Cliniche, Università degli Studi di Firenze, Azienda Ospedaliero-Universitaria Careggi, 3 Largo Brambilla, 50134, Florence, Italy
| | - Franco Dallegri
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa School of Medicine, 6 viale Benedetto XV, 13132, Genoa, Italy
- Ospedale Policlinico San Martino, 10 Largo Benzi, 16132, Genoa, Italy
| | - Fabrizio Montecucco
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa School of Medicine, 6 viale Benedetto XV, 13132, Genoa, Italy
- Ospedale Policlinico San Martino, 10 Largo Benzi, 16132, Genoa, Italy
- Centre of Excellence for Biomedical Research (CEBR), University of Genoa, 9 viale Benedetto XV, 16132, Genoa, Italy
| | - Enrico Fainardi
- Struttura Organizzativa Dipartimentale di Neuroradiologia, Dipartimento di Scienze Biomediche, Sperimentali e Cliniche, Università degli Studi di Firenze, Azienda Ospedaliero-Universitaria Careggi, 3 Largo Brambilla, 50134, Florence, Italy
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9
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Martins N, Aires A, Mendez B, Boned S, Rubiera M, Tomasello A, Coscojuela P, Hernandez D, Muchada M, Rodríguez-Luna D, Rodríguez N, Juega JM, Pagola J, Molina CA, Ribó M. Ghost Infarct Core and Admission Computed Tomography Perfusion: Redefining the Role of Neuroimaging in Acute Ischemic Stroke. INTERVENTIONAL NEUROLOGY 2018; 7:513-521. [PMID: 30410531 DOI: 10.1159/000490117] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 04/22/2018] [Indexed: 12/13/2022]
Abstract
Background Determining the size of infarct extent is crucial to elect patients for reperfusion therapies. Computed tomography perfusion (CTP) based on cerebral blood volume may overestimate infarct core on admission and consequently include ghost infarct core (GIC) in a definitive lesional area. Purpose Our goal was to confirm and better characterize the GIC phenomenon using CTP cerebral blood flow (CBF) as the reference parameter to determine infarct core. Methods We performed a retrospective, single-center analysis of consecutive thrombectomies of middle cerebral or intracranial internal carotid artery occlusions considering noncontrast CT Alberta Stroke Program Early CT Score ≥6 in patients with pretreatment CTP. We used the RAPID® software to measure admission infarct core based on initial CBF. The final infarct was extracted from follow-up CT. GIC was defined as initial core minus final infarct > 10 mL. Results A total of 123 patients were included. The median National Institutes of Health Stroke Scale score was 18 (13-20), the median time from symptoms to CTP was 188 (67-288) min, and the recanalization rate (Thrombolysis in Cerebral Infarction score 2b, 2c, or 3) was 83%. Twenty patients (16%) presented with GIC. GIC was associated with shorter time to recanalization (150 [105-291] vs. 255 [163-367] min, p = 0.05) and larger initial CBF core volume (38 [26-59] vs. 6 [0-27] mL, p < 0.001). An adjusted logistic regression model identified time to recanalization < 302 min (OR 4.598, 95% CI 1.143-18.495, p = 0.032) and initial infarct volume (OR 1.01, 95% CI 1.001-1.019, p = 0.032) as independent predictors of GIC. At 24 h, clinical improvement was more frequent in patients with GIC (80 vs. 49%, p = 0.01). Conclusions CTP CBF < 30% may overestimate infarct core volume, especially in patients imaged in the very early time window and with fast complete reperfusion. Therefore, the CTP CBF technique may exclude patients who would benefit from endovascular treatment.
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Affiliation(s)
- Nuno Martins
- Department of Internal Medicine, Hospital Fernando Fonseca, Amadora, Portugal
| | - Ana Aires
- Department of Neurology, São João Hospital Center, Porto, Portugal.,Department of Clinical Neurosciences and Mental Health, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Beatriz Mendez
- Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Sandra Boned
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Marta Rubiera
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Alejandro Tomasello
- Department of Neuroradiology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Pilar Coscojuela
- Department of Neuroradiology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - David Hernandez
- Department of Neuroradiology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Marián Muchada
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - David Rodríguez-Luna
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Noelia Rodríguez
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Jesús M Juega
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Jorge Pagola
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Carlos A Molina
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Marc Ribó
- Stroke Unit, Department of Neurology, Vall d'Hebron University Hospital, Vall d'Hebron Research Institute, Barcelona, Spain.,Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
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10
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Achit H, Soudant M, Hosseini K, Bannay A, Epstein J, Bracard S, Guillemin F. Cost-Effectiveness of Thrombectomy in Patients With Acute Ischemic Stroke. Stroke 2017; 48:2843-2847. [DOI: 10.1161/strokeaha.117.017856] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 08/07/2017] [Accepted: 08/08/2017] [Indexed: 11/16/2022]
Affiliation(s)
- Hamza Achit
- From the Department of Clinical Epidemiology, INSERM CIC-EC 1433 (H.A., M.S., K.H., J.E.), Department of Medical Information (A.B.), and Department of Diagnostic and Interventional Neuroradiology, INSERM U 947 (S.B.), University Hospital of Nancy, France; and Department of Clinical Epidemiology, INSERM CIC-EC 1433, EA 4360 APEMAC, University of Lorraine and University Hospital of Nancy, France (F.G.)
| | - Marc Soudant
- From the Department of Clinical Epidemiology, INSERM CIC-EC 1433 (H.A., M.S., K.H., J.E.), Department of Medical Information (A.B.), and Department of Diagnostic and Interventional Neuroradiology, INSERM U 947 (S.B.), University Hospital of Nancy, France; and Department of Clinical Epidemiology, INSERM CIC-EC 1433, EA 4360 APEMAC, University of Lorraine and University Hospital of Nancy, France (F.G.)
| | - Kossar Hosseini
- From the Department of Clinical Epidemiology, INSERM CIC-EC 1433 (H.A., M.S., K.H., J.E.), Department of Medical Information (A.B.), and Department of Diagnostic and Interventional Neuroradiology, INSERM U 947 (S.B.), University Hospital of Nancy, France; and Department of Clinical Epidemiology, INSERM CIC-EC 1433, EA 4360 APEMAC, University of Lorraine and University Hospital of Nancy, France (F.G.)
| | - Aurélie Bannay
- From the Department of Clinical Epidemiology, INSERM CIC-EC 1433 (H.A., M.S., K.H., J.E.), Department of Medical Information (A.B.), and Department of Diagnostic and Interventional Neuroradiology, INSERM U 947 (S.B.), University Hospital of Nancy, France; and Department of Clinical Epidemiology, INSERM CIC-EC 1433, EA 4360 APEMAC, University of Lorraine and University Hospital of Nancy, France (F.G.)
| | - Jonathan Epstein
- From the Department of Clinical Epidemiology, INSERM CIC-EC 1433 (H.A., M.S., K.H., J.E.), Department of Medical Information (A.B.), and Department of Diagnostic and Interventional Neuroradiology, INSERM U 947 (S.B.), University Hospital of Nancy, France; and Department of Clinical Epidemiology, INSERM CIC-EC 1433, EA 4360 APEMAC, University of Lorraine and University Hospital of Nancy, France (F.G.)
| | - Serge Bracard
- From the Department of Clinical Epidemiology, INSERM CIC-EC 1433 (H.A., M.S., K.H., J.E.), Department of Medical Information (A.B.), and Department of Diagnostic and Interventional Neuroradiology, INSERM U 947 (S.B.), University Hospital of Nancy, France; and Department of Clinical Epidemiology, INSERM CIC-EC 1433, EA 4360 APEMAC, University of Lorraine and University Hospital of Nancy, France (F.G.)
| | - Francis Guillemin
- From the Department of Clinical Epidemiology, INSERM CIC-EC 1433 (H.A., M.S., K.H., J.E.), Department of Medical Information (A.B.), and Department of Diagnostic and Interventional Neuroradiology, INSERM U 947 (S.B.), University Hospital of Nancy, France; and Department of Clinical Epidemiology, INSERM CIC-EC 1433, EA 4360 APEMAC, University of Lorraine and University Hospital of Nancy, France (F.G.)
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11
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Boned S, Padroni M, Rubiera M, Tomasello A, Coscojuela P, Romero N, Muchada M, Rodríguez-Luna D, Flores A, Rodríguez N, Juega J, Pagola J, Alvarez-Sabin J, Molina CA, Ribó M. Admission CT perfusion may overestimate initial infarct core: the ghost infarct core concept. J Neurointerv Surg 2016; 9:66-69. [DOI: 10.1136/neurintsurg-2016-012494] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2016] [Revised: 07/30/2016] [Accepted: 08/05/2016] [Indexed: 11/03/2022]
Abstract
BackgroundIdentifying infarct core on admission is essential to establish the amount of salvageable tissue and indicate reperfusion therapies. Infarct core is established on CT perfusion (CTP) as the severely hypoperfused area, however the correlation between hypoperfusion and infarct core may be time-dependent as it is not a direct indicator of tissue damage. This study aims to characterize those cases in which the admission core lesion on CTP does not reflect an infarct on follow-up imaging.MethodsWe studied patients with cerebral large vessel occlusion who underwent CTP on admission but received endovascular thrombectomy based on a non-contrast CT Alberta Stroke Program Early CT Score (ASPECTS) >6. Admission infarct core was measured on initial cerebral blood volume (CBV) CTP and final infarct on follow-up CT. We defined ghost infarct core (GIC) as initial core minus final infarct >10 mL.Results79 patients were studied. Median National Institutes of Health Stroke Scale (NIHSS) score was 17 (11–20), median time from symptoms to CTP was 215 (87–327) min, and recanalization rate (TICI 2b–3) was 77%. Thirty patients (38%) presented with a GIC >10 mL. GIC >10 mL was associated with recanalization (TICI 2b–3: 90% vs 68%; p=0.026), admission glycemia (<185 mg/dL: 42% vs 0%; p=0.028), and time to CTP (<185 min: 51% vs >185 min: 26%; p=0.033). An adjusted logistic regression model identified time from symptom to CTP imaging <185 min as the only predictor of GIC >10 mL (OR 2.89, 95% CI 1.04 to 8.09). At 24 hours, clinical improvement was more frequent in patients with GIC >10 mL (66.6% vs 39%; p=0.017).ConclusionsCT perfusion may overestimate final infarct core, especially in the early time window. Selecting patients for reperfusion therapies based on the CTP mismatch concept may deny treatment to patients who might still benefit from reperfusion.
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12
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Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment. PLoS One 2016; 11:e0147910. [PMID: 26824672 PMCID: PMC4732987 DOI: 10.1371/journal.pone.0147910] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 01/10/2016] [Indexed: 12/27/2022] Open
Abstract
Introduction The capability of CT perfusion (CTP) Alberta Stroke Program Early CT Score (ASPECTS) to predict outcome and identify ischemia severity in acute ischemic stroke (AIS) patients is still questioned. Methods 62 patients with AIS were imaged within 8 hours of symptom onset by non-contrast CT, CT angiography and CTP scans at admission and 24 hours. CTP ASPECTS was calculated on the affected hemisphere using cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) maps by subtracting 1 point for any abnormalities visually detected or measured within multiple cortical circular regions of interest according to previously established thresholds. MTT-CBV ASPECTS was considered as CTP ASPECTS mismatch. Hemorrhagic transformation (HT), recanalization status and reperfusion grade at 24 hours, final infarct volume at 7 days and modified Rankin scale (mRS) at 3 months after onset were recorded. Results Semi-quantitative and quantitative CTP ASPECTS were highly correlated (p<0.00001). CBF, CBV and MTT ASPECTS were higher in patients with no HT and mRS≤2 and inversely associated with final infarct volume and mRS (p values: from p<0.05 to p<0.00001). CTP ASPECTS mismatch was slightly associated with radiological and clinical outcomes (p values: from p<0.05 to p<0.02) only if evaluated quantitatively. A CBV ASPECTS of 9 was the optimal semi-quantitative value for predicting outcome. Conclusions Our findings suggest that visual inspection of CTP ASPECTS recognizes infarct and ischemic absolute values. Semi-quantitative CBV ASPECTS, but not CTP ASPECTS mismatch, represents a strong prognostic indicator, implying that core extent is the main determinant of outcome, irrespective of penumbra size.
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