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Pensato U, Demchuk AM, Menon BK, Nguyen TN, Broocks G, Campbell BCV, Gutierrez Vasquez DA, Mitchell PJ, Hill MD, Goyal M, Ospel JM. Cerebral Infarct Growth: Pathophysiology, Pragmatic Assessment, and Clinical Implications. Stroke 2025; 56:219-229. [PMID: 39545332 DOI: 10.1161/strokeaha.124.049013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2024]
Abstract
Cerebral ischemic injury occurs when blood flow drops below a critical level, resulting in an energy failure. The progressive transformation of hypoperfused viable tissue, the ischemic penumbra, into infarction is a mechanism shared by patients with ischemic stroke if timely reperfusion is not achieved. Yet, the pace at which this transformation occurs, known as the infarct growth rate (IGR), exhibits remarkable heterogeneity among patients, brain regions, and over time, reflecting differences in compensatory collateral flow and ischemic tolerance. We review (1) the pathophysiology of infarct growth, (2) the advantages and pitfalls of different approaches of IGR measurement, (3) research gaps for future studies, and (4) the clinical implications of stroke progressor phenotypes. The estimated average IGR in patients with acute large vessel occlusion stroke is 5.4 mL/h although there is wide variability based on ischemic stroke subtype, occlusion location, presence of collaterals, and patient baseline status. The IGR can be calculated using various pragmatic strategies, mostly either quantifying the extension of the infarct at a particular time and dividing this measure by the time that elapsed from symptom onset to imaging assessment or by using collateral blood flow status as a radiological surrogate marker. The IGR defines a spectrum of clinical stroke phenotypes, often dichotomized into fast and slow progressors. An IGR ≥10 mL/h and the perfusion metric hypoperfusion intensity ratio ≥0.5 are commonly used definitions of fast progressors. A nuanced understanding of the IGR and stroke progressor phenotypes could have clinical implications, including informing prognostication, acute decision-making in peripheral-to-comprehensive transfer patients eligible for thrombectomy, and selection for adjuvant neuroprotective agents.
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Affiliation(s)
- Umberto Pensato
- Department of Biomedical Sciences, Humanitas University, Milan, Italy (U.P.)
- Department of Neurology, IRCCS Humanitas Research Hospital, Milan, Italy (U.P.)
| | - Andrew M Demchuk
- Department of Clinical Neurosciences (A.M.D., B.K.M., M.D.H.), Cumming School of Medicine, University of Calgary, AB, Canada
| | - Bijoy K Menon
- Department of Clinical Neurosciences (A.M.D., B.K.M., M.D.H.), Cumming School of Medicine, University of Calgary, AB, Canada
| | - Thanh N Nguyen
- Department of Neurology (T.N.N.), Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, MA
- Department of Radiology (T.N.N.), Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, MA
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany (G.B.)
- Department of Neurology (B.C.V.C.), Melbourne Brain Centre, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - Bruce C V Campbell
- Department of Neurology (B.C.V.C.), Melbourne Brain Centre, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - Diego A Gutierrez Vasquez
- Department of Neurology, School of Medicine, Pontifical Catholic University of Chile, Santiago (D.A.G.V.)
| | - Peter J Mitchell
- Department of Radiology (P.J.M.), Melbourne Brain Centre, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - Michael D Hill
- Department of Clinical Neurosciences (A.M.D., B.K.M., M.D.H.), Cumming School of Medicine, University of Calgary, AB, Canada
| | - Mayank Goyal
- Department of Radiology (M.G., J.M.O.), Cumming School of Medicine, University of Calgary, AB, Canada
| | - Johanna M Ospel
- Department of Radiology (M.G., J.M.O.), Cumming School of Medicine, University of Calgary, AB, Canada
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Pensato U, Bosshart S, Stebner A, Rohr A, Kleinig TJ, Gupta R, Thomalla G, Heo JH, Goyal M, Demchuk AM, Hill MD, Ospel JM. Effect of Hemoglobin and Blood Glucose Levels on CT Perfusion Ischemic Core Estimation: A Post Hoc Analysis of the ESCAPE-NA1 Trial. Neurology 2024; 103:e209939. [PMID: 39432874 DOI: 10.1212/wnl.0000000000209939] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2024] Open
Abstract
BACKGROUND AND OBJECTIVES CT perfusion (CTP) maps can estimate the ischemic core in acute ischemic stroke based on distinctive cerebral blood flow thresholds. However, metabolic factors beyond perfusion influence the tissue tolerance to ischemia and the infarct growth rate. Underestimating the ischemic core volume (ICV) might result in overestimating the salvageable cerebral tissue and, consequently, overestimating the potential clinical benefits of reperfusion therapies. We aim to evaluate whether baseline hemoglobin and blood glucose levels influence the accuracy of baseline CTP ICV estimations. METHODS Large vessel occlusion stroke patients investigated with baseline CTP undergoing thrombectomy with near-complete reperfusion and without parenchymal hemorrhage from the ESCAPE-NA1 trial were included. Patients were subdivided into anemic (hemoglobin <130 g/L for men and <120 g/L for women) and nonanemic groups, and hyperglycemic (blood glucose level >7 mmol/L) and normoglycemic groups. Ischemic core underestimated volume (ICuV) was calculated: final infarct volume minus CTP-based ICV. The primary outcome was the presence of "perfusion scotoma" defined as ICuV ≥10 mL. Presence of "perfusion scotoma" and median ICuV were compared between anemic vs nonanemic and hyperglycemic vs normoglycemic patients using nonparametric tests and multivariable binary logistic regression with adjustment for baseline variables. RESULTS One hundred sixty-two of 1,105 (15%) patients were included (median age 70.5 [interquartile range (IQR) 61-80.4], 50.6% women). The median ICuV was 7.26 mL (IQR 0-25.63). Seventy-eight (48%) patients demonstrated perfusion scotoma. Forty-two (25.7%) patients were anemic, and 65 (40.1%) were hyperglycemic. In univariable analysis, the hyperglycemic group had a higher prevalence of perfusion scotoma (65% [n = 40] vs 39% [n = 38], p = 0.006) and larger ICuV (17.79 mL [IQR 1.57-42.75] vs 6 mL [-0.31 to 12.51], p = 0.003) compared to normoglycemic patients. No significant ICuV differences between patients with and without anemia were seen. Multivariable regression analysis revealed an association between perfusion scotoma and hyperglycemia, adjusted odds ratio (OR) 2.48 (95% CI 1.25-4.92), and between perfusion scotoma and blood glucose levels, adjusted OR 1.19 (95% CI 1.03-1.39) per 1 mmol/L increase. DISCUSSION In our study, CTP-based ischemic core underestimation was common and associated with higher baseline blood glucose levels. Individual metabolic factors beyond perfusion that critically influence the infarct growth rate should be considered when interpreting baseline CTP estimations of ischemic core.
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Affiliation(s)
- Umberto Pensato
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Salome Bosshart
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Alexander Stebner
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Axel Rohr
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Timothy J Kleinig
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Rishi Gupta
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Götz Thomalla
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Ji Hoe Heo
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Mayank Goyal
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Andrew M Demchuk
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Michael D Hill
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Johanna M Ospel
- From the IRCCS Humanitas Research Hospital (U.P.); Department of Biomedical Sciences (U.P.), Humanitas University, Milan, Italy; Calgary Stroke Program (U.P., S.B., A.S., A.M.D., M.D.H.), Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada; Institute of Radiology (A.S.), Cantonal Hospital Münsterlingen, Switzerland; University of British Columbia (A.R.), Vancouver, Canada; Royal Adelaide Hospital (T.J.K.), Adelaide, Australia; Wellstar Health Systems (R.G.), Kennestone Hospital, Marietta, GA; Department of Neurology (G.T.) and Department of Neuroradiology (G.T.), University Medical Center Hamburg-Eppendorf, Germany; University College of Medicine (J.H.H.), Seoul, South Korea; and Department of Radiology (M.G., M.D.H., J.M.O.), Cumming School of Medicine, University of Calgary, Alberta, Canada
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Geest V, Steffen P, Winkelmeier L, Faizy TD, Heitkamp C, Kniep H, Meyer L, Zelenak K, Götz T, Fiehler J, Broocks G. Association of clinical outcome and imaging endpoints in extensive ischemic stroke-comparing measures of cerebral edema. Eur Radiol 2024; 34:6785-6795. [PMID: 38627288 PMCID: PMC11399218 DOI: 10.1007/s00330-024-10694-8] [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: 10/31/2023] [Revised: 01/31/2024] [Accepted: 02/17/2024] [Indexed: 09/15/2024]
Abstract
OBJECTIVES Ischemic edema is associated with worse clinical outcomes, especially in large infarcts. Computed tomography (CT)-based densitometry allows direct quantification of absolute edema volume (EV), which challenges indirect biomarkers like midline shift (MLS). We compared EV and MLS as imaging biomarkers of ischemic edema and predictors of malignant infarction (MI) and very poor clinical outcome (VPCO) in early follow-up CT of patients with large infarcts. MATERIALS AND METHODS Patients with anterior circulation stroke, large vessel occlusion, and Alberta Stroke Program Early CT Score (ASPECTS) ≤ 5 were included. VPCO was defined as modified Rankin scale (mRS) ≥ 5 at discharge. MLS and EV were quantified at admission and in follow-up CT 24 h after admission. Correlation was analyzed between MLS, EV, and total infarct volume (TIV). Multivariable logistic regression and receiver operating characteristics curve analyses were performed to compare MLS and EV as predictors of MI and VPCO. RESULTS Seventy patients (median TIV 110 mL) were analyzed. EV showed strong correlation to TIV (r = 0.91, p < 0.001) and good diagnostic accuracy to classify MI (EV AUC 0.74 [95%CI 0.61-0.88] vs. MLS AUC 0.82 [95%CI 0.71-0.94]; p = 0.48) and VPCO (EV AUC 0.72 [95%CI 0.60-0.84] vs. MLS AUC 0.69 [95%CI 0.57-0.81]; p = 0.5) with no significant difference compared to MLS, which did not correlate with TIV < 110 mL (r = 0.17, p = 0.33). CONCLUSION EV might serve as an imaging biomarker of ischemic edema in future studies, as it is applicable to infarcts of all volumes and predicts MI and VPCO in patients with large infarcts with the same accuracy as MLS. CLINICAL RELEVANCE STATEMENT Utilization of edema volume instead of midline shift as an edema parameter would allow differentiation of patients with large and small infarcts based on the extent of edema, with possible advantages in the prediction of treatment effects, complications, and outcome. KEY POINTS • CT densitometry-based absolute edema volume challenges midline shift as current gold standard measure of ischemic edema. • Edema volume predicts malignant infarction and poor clinical outcome in patients with large infarcts with similar accuracy compared to MLS irrespective of the lesion extent. • Edema volume might serve as a reliable quantitative imaging biomarker of ischemic edema in acute stroke triage independent of lesion size.
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Affiliation(s)
- Vincent Geest
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
| | - Paul Steffen
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Laurens Winkelmeier
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Tobias D Faizy
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Christian Heitkamp
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Helge Kniep
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Lukas Meyer
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Kamil Zelenak
- Department of Radiology, Comenius University's Jessenius Faculty of Medicine and University Hospital, Martin, Slovakia
| | - Thomalla Götz
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
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4
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Broocks G, Meyer L, Winkelmeier L, Kniep H, Heitkamp C, Christensen S, Lansberg MG, Thaler C, Kemmling A, Schön G, Zeleňák K, Stracke PC, Albers G, Fiehler J, Wintermark M, Heit JJ, Faizy TD, Panzer A. Overestimation of the Ischemic Core Is Associated With Higher Core Lesion Volume and Degree of Reperfusion After Thrombectomy. Radiology 2024; 312:e231750. [PMID: 39078297 PMCID: PMC11294763 DOI: 10.1148/radiol.231750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 04/17/2024] [Accepted: 04/30/2024] [Indexed: 07/31/2024]
Abstract
Background CT perfusion (CTP)-derived baseline ischemic core volume (ICV) can overestimate the true extent of infarction, which may result in exclusion of patients with ischemic stroke from endovascular treatment (EVT). Purpose To determine whether ischemic core overestimation is associated with larger ICV and degree of recanalization. Materials and Methods This retrospective multicenter cohort study included patients with acute ischemic stroke triaged at multimodal CT who underwent EVT between January 2015 and January 2022. The primary outcome was ischemic core overestimation, which was assumed when baseline CTP-derived ICV was larger than the final infarct volume at follow-up imaging. The secondary outcome was functional independence defined as modified Rankin Scale scores of 0-2 90 days after EVT. Successful vessel recanalization was defined as extended Thrombolysis in Cerebral Infarction score of 2b or higher. Categorical variables were compared between patients with ICV of 50 mL or less versus large ICV greater than 50 mL with use of the χ2 test. Adjusted multivariable logistic regression analyses were used to assess the primary and secondary outcomes. Results In total, 721 patients (median age, 76 years [IQR, 64-83 years]; 371 female) were included, of which 162 (22%) demonstrated ischemic core overestimation. Core overestimation occurred more often in patients with ICV greater than 50 mL versus 50 mL or less (48% vs 16%; P < .001) and those with successful versus unsuccessful vessel recanalization (26% vs 13%; P < .001). In an adjusted model, successful recanalization after EVT (odds ratio [OR], 3.14 [95% CI: 1.65, 5.95]; P < .001) and larger ICV (OR, 1.03 [95% CI: 1.02, 1.04]; P < .001) were independently associated with core overestimation, while the time from symptom onset to imaging showed no association (OR, 0.99; P = .96). Core overestimation was independently associated with functional independence (adjusted OR, 2.83 [95% CI: 1.66, 4.81]; P < .001) after successful recanalization. Conclusion Ischemic core overestimation occurred more frequently in patients presenting with large CTP-derived ICV and successful vessel recanalization compared with those with unsuccessful recanalization. © RSNA, 2024 Supplemental material is available for this article.
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Affiliation(s)
- Gabriel Broocks
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Lukas Meyer
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Laurens Winkelmeier
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Helge Kniep
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Christian Heitkamp
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Soren Christensen
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Maarten G. Lansberg
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Christian Thaler
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Andre Kemmling
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Gerhard Schön
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Kamil Zeleňák
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Paul C. Stracke
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Gregory Albers
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Jens Fiehler
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Max Wintermark
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Jeremy J. Heit
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Tobias D. Faizy
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
| | - Ariane Panzer
- From the Department of Neuroradiology (G.B., L.M., L.W., H.K., C.H.,
C.T., J.F., T.D.F.) and Institute for Medical Biometry and Epidemiology (G.S.),
University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg,
Germany; Department of Neuroradiology, HELIOS Medical Center, Campus of MSH
Medical School Hamburg, Schwerin, Germany (G.B.); Departments of Neurology and
Neurologic Sciences (S.C., M.G.L., M.W.) and Radiology (G.A., J.J.H.), Stanford
University School of Medicine, Stanford, Calif; Department of Neuroradiology,
University of Marburg, Marburg, Germany (A.K.); Department of Radiology,
Comenius University’s Jessenius Faculty of Medicine and University
Hospital, Martin, Slovakia (K.Z.); and Department of Neuroradiology, University
Hospital Münster, Münster, Germany (P.C.S., T.D.F.)
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5
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Klapproth S, Meyer L, Kniep H, Bechstein M, Kyselyova A, Hanning U, Schön G, Rimmele L, Fiehler J, Broocks G. Effect of short- versus long-term serum glucose levels on early ischemic water homeostasis and functional outcome in patients with large vessel occlusion stroke. Eur J Neurol 2024; 31:e16166. [PMID: 38015448 PMCID: PMC11235831 DOI: 10.1111/ene.16166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND AND PURPOSE In ischemic stroke, the impact of short- versus long-term blood glucose level (BGL) on early lesion pathophysiology and functional outcome has not been assessed. The purpose of this study was to directly compare the effect of long-term blood glucose (glycated hemoglobin [HbA1c]) versus serum BGL on early edema formation and functional outcome. METHODS Anterior circulation ischemic stroke patients who underwent mechanical thrombectomy after multimodal computed tomography (CT) on admission were analyzed. Endpoints were early ischemic cerebral edema, measured by quantitative net water uptake (NWU) on initial CT and functional independence at Day 90. RESULTS A total of 345 patients were included. Patients with functional independence had significantly lower baseline NWU (3.1% vs. 8.3%; p < 0.001) and lower BGL (113 vs. 123 mg/dL; p < 0.001) than those without functional independence, while HbA1c levels did not differ significantly (5.7% vs. 5.8%; p = 0.15). A significant association was found for NWU and BGL (ß = 0.02, 95% confidence interval [CI] 0.006-0.03; p = 0.002), but not for HbA1c and NWU (ß = -0.16, 95% CI -0.53-0.21; p = 0.39). Mediation analysis showed that 67% of the effect of BGL on functional outcome was mediated by early edema formation. CONCLUSION Aggravated early edema and worse functional outcome was associated with elevated short-term serum BGL, but not with HbA1c levels. Hence, the link between short-term BGL and early edema development might be used as a target for adjuvant therapy in patients with ischemic stroke.
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Affiliation(s)
- Susan Klapproth
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Lukas Meyer
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Helge Kniep
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Anna Kyselyova
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Uta Hanning
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Gerhard Schön
- Institute of Medical Biometry and EpidemiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Leander Rimmele
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Jens Fiehler
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional NeuroradiologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
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6
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Steffen P, Winkelmeier L, Kniep H, Geest V, Soltanipanah S, Fiehler J, Broocks G. Quantification of ischemic brain edema after mechanical thrombectomy using dual-energy computed tomography in patients with ischemic stroke. Sci Rep 2024; 14:4148. [PMID: 38378795 PMCID: PMC10879140 DOI: 10.1038/s41598-024-54600-0] [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: 09/27/2023] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
Net water uptake (NWU) is a quantitative imaging biomarker used to assess cerebral edema resulting from ischemia via Computed Tomography (CT)-densitometry. It serves as a strong predictor of clinical outcome. Nevertheless, NWU measurements on follow-up CT scans after mechanical thrombectomy (MT) can be affected by contrast staining. To improve the accuracy of edema estimation, virtual non-contrast images (VNC-I) from dual-energy CT scans (DECT) were compared to conventional polychromatic CT images (CP-I) in this study. We examined NWU measurements derived from VNC-I and CP-I to assess their agreement and predictive value in clinical outcome. 88 consecutive patients who received DECT as follow-up after MT were included. NWU was quantified on CP-I (cNWU) and VNC-I (vNWU). The clinical endpoint was functional independence at discharge. cNWU and vNWU were highly correlated (r = 0.71, p < 0.0001). The median difference between cNWU and vNWU was 8.7% (IQR: 4.5-14.1%), associated with successful vessel recanalization (mTICI2b-3) (ß: 11.6%, 95% CI 2.9-23.0%, p = 0.04), and age (ß: 4.2%, 95% CI 1.3-7.0%, p = 0.005). The diagnostic accuracy to classify outcome between cNWU and vNWU was similar (AUC:0.78 versus 0.77). Although there was an 8.7% median difference, indicating potential edema underestimation on CP-I, it did not have short-term clinical implications.
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Affiliation(s)
- Paul Steffen
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany.
| | - Laurens Winkelmeier
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Vincent Geest
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Setareh Soltanipanah
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
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7
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Shen L, Lu X, Wang H, Wu G, Guo Y, Zheng S, Ren L, Zhang H, Huang L, Ren B, Zhu J, Xia S. Impaired T1 mapping and Tmax during the first 7 days after ischemic stroke. A retrospective observational study. J Stroke Cerebrovasc Dis 2023; 32:107383. [PMID: 37844455 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/14/2023] [Accepted: 09/19/2023] [Indexed: 10/18/2023] Open
Abstract
OBJECTIVE To measure the relative T1 (rT1) value in different hypo-perfused regions after ischemic stroke using T1 mapping derived by Strategically Acquired Gradient Echo (STAGE) and assess its relationship with onset time and severity of ischemia. MATERIALS AND METHODS Sixty-three patients with acute anterior circulation ischemic stroke from 2017 to 2022 who underwent STAGE, diffusion weighted imaging (DWI) and dynamic susceptibility contrast perfusion weighted imaging (DSC-PWI) within 7 days were retrospectively enrolled. The areas with reduced diffusion and hypo-perfusion were segmented based on apparent diffusion coefficient (ADC) value < 0.62 × 10-3mm2/s and time-to-maximum (Tmax) thresholds (4, 6, 8, and 10 seconds). We measured the T1 value in the diffusion reduced and every 2 s Tmax strata regions and calculated rT1 (T1ipsi/T1contra) to explore the relationship between rT1 value, Tmax, and onset time. RESULTS rT1 value was increased in diffusion reduced (1.42) and hypo-perfused regions (1.02, 1.06, 1.12, 1.27, Tmax 4-6 s, 6-8 s, 8-10 s, > 10 s, respectively; all different from 1, P < 0.001). rT1 value was positively correlated with Tmax (rs = 0.61, P < 0.001) and onset time in area with reduced diffusion (rs = 0.39, P = 0.014). CONCLUSIONS Increased rT1 value in different hypo-perfused brain regions using T1 mapping derived by STAGE may reflect the edema; it was associated with the severity of Tmax and showed a weak correlation with the onset time in diffusion reduced areas.
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Affiliation(s)
- Lianfang Shen
- Department of Radiology, The First Central Clinical School, Tianjin Medical University, Tianjin, China
| | - Xiudi Lu
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Huiying Wang
- The School of Medicine, Nankai University, Tianjin, China
| | - Gemuer Wu
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Yu Guo
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Shaowei Zheng
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lei Ren
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Huanlei Zhang
- Department of Radiology, Yidu Central Hospital of Weifang, Qingzhou City, Shandong, China
| | - Lixiang Huang
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Bo Ren
- College of Computer Science, Nankai University, Tianjin, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthcare Ltd, Beijing, China
| | - Shuang Xia
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
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8
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Broocks G, Meyer L, Elsayed S, McDonough R, Bechstein M, Faizy TD, Sporns P, Schön G, Minnerup J, Kniep HC, Hanning U, Barow E, Schramm P, Langner S, Nawabi J, Papanagiotou P, Wintermark M, Lansberg MG, Albers GW, Heit JJ, Fiehler J, Kemmling A. Association Between Net Water Uptake and Functional Outcome in Patients With Low ASPECTS Brain Lesions: Results From the I-LAST Study. Neurology 2023; 100:e954-e963. [PMID: 36414425 PMCID: PMC9990438 DOI: 10.1212/wnl.0000000000201601] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 10/10/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The effect of mechanical thrombectomy (MT) on functional outcome in patients with ischemic stroke with low ASPECTS is still uncertain. ASPECTS rating is based on the presence of ischemic hypoattenuation relative to normal; however, the degree of hypoattenuation, which directly reflects net uptake of water, is currently not considered an imaging biomarker in stroke triage. We hypothesized that the effect of thrombectomy on functional outcome in low ASPECTS patients depends on early lesion water uptake. METHODS For this multicenter observational study, patients with anterior circulation stroke with ASPECTS ≤5 were consecutively analyzed. Net water uptake (NWU) was assessed as a quantitative imaging biomarker in admission CT. The primary end point was the rate of favorable functional outcome defined as modified Rankin Scale score 0-3 at day 90. The effect of recanalization on functional outcome was analyzed according to the degree of NWU within the early infarct lesion. RESULTS A total of 254 patients were included, of which 148 (58%) underwent MT. The median ASPECTS was 4 (interquartile range [IQR] 3-5), and the median NWU was 11.4% (IQR 8.9%-15.1%). The rate of favorable outcome was 27.6% in patients with low NWU (<11.4%) vs 6.3% in patients with high NWU (≥11.4%; p < 0.0001). In multivariable logistic regression analysis, NWU was an independent predictor of outcome, whereas vessel recanalization (modified thrombolysis in cerebral infarction ≥2b) was only significantly associated with better outcomes if NWU was lower than 12.6%. In inverse-probability weighting analysis, recanalization was associated with 20.7% (p = 0.01) increase in favorable outcome in patients with low NWU compared with 9.1% (p = 0.06) in patients with high NWU. DISCUSSION Early NWU was independently associated with clinical outcome and might serve as an indicator of futile MT in low ASPECTS patients. NWU could be tested as a tool to select low ASPECTS patients for MT. TRIAL REGISTRATION INFORMATION The study is registered within the ClinicalTrials.gov Protocol Registration and Results System (NCT04862507).
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Affiliation(s)
- Gabriel Broocks
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany.
| | - Lukas Meyer
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Sarah Elsayed
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Rosalie McDonough
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Matthias Bechstein
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Tobias Djamsched Faizy
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Peter Sporns
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Gerhard Schön
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Jens Minnerup
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Helge C Kniep
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Uta Hanning
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Ewgenia Barow
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Peter Schramm
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Soenke Langner
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Jawed Nawabi
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Panagiotis Papanagiotou
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Max Wintermark
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Maarten G Lansberg
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Gregory W Albers
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Jeremy J Heit
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Jens Fiehler
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
| | - Andre Kemmling
- From the Departments of Diagnostic and Interventional Neuroradiology (G.B., L.M., S.E., R.M., M.B., T.D.F., P. Sporns, H.C.K., U.H., J.F.) and Neuroradiology (S.L.), and Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Germany; Departments of Clinical Neuroscience and Radiology (R.M.), Hotchkiss Brain Institute, Cummings School of Medicine, University of Calgary, Alberta, Canada; Department of Neuroradiology (T.D.F.), Stanford University, CA; Department of Neuroradiology (P. Sporns), Universitätsspital Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (J.M.), University Hospital Münster; Department of Neuroradiology (P. Schramm), University Hospital Schleswig-Holstein, Luebeck; Department of Neuroradiology (S.L.), University Greifswald; Department of Neuroradiology (S.L.), University Medical Center Rostock; Department of Neuroradiology (J.N.), Charité University Medicine, Berlin; Department of Neuroradiology (P.P.), Hospital Bremen-Mitte, Germany; Department of Neuroradiology (M.W.), MD Anderson, Houston, TX; Departments of Neurology and Neurological Sciences (M.G.L., G.W.A.) and Radiology (J.J.H.), Stanford University School of Medicine, CA; and Department of Neuroradiology (A.K.), University Hospital Marburg, Germany
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9
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Predictive Value of Different Computed Tomography Perfusion Software Regarding 90-Day Outcome of Acute Ischemic Stroke Patients After Endovascular Treatment: A Comparison With Magnetic Resonance Imaging. J Comput Assist Tomogr 2022; 46:945-952. [PMID: 35696312 DOI: 10.1097/rct.0000000000001342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVE This study compared ischemic core and penumbra volumes obtained using different computed tomography perfusion (CTP) software and evaluated the predictive value of CTP and magnetic resonance imaging (MRI) results for 90-day outcomes. METHODS In total, 105 acute ischemic stroke patients who underwent endovascular treatment from January 2016 to December 2020 were included. Patients were divided into good and poor outcome groups by a modified Rankin Scale score. Computed tomography perfusion core and penumbra volumes were obtained using OleaSphere and Vitrea software to assess the volumetric relationship with MRI using the Spearman correlation test, intraclass correlation coefficient (ICC), and Bland-Altman plot. Three multivariable models were developed: baseline variables with MRI infarct volume, baseline variables with OleaSphere core volume, and baseline variables with Vitrea core volume. The area under the receiver operating characteristic curve of the 3 models was compared using the DeLong test. RESULTS Median core volumes were 27.5, 26.9, and 31.1 mL for OleaSphere, Vitrea, and MRI, respectively. There was substantial correlation and excellent agreement between OleaSphere and MRI core volume ( ρ = 0.84, P < 0.001; ICC = 0.84) and Vitrea and MRI core volume ( ρ = 0.80, P < 0.001; ICC = 0.83). The areas under curve for MRI volume, OleaSphere, and Vitrea were 0.86, 0.84, and 0.83, respectively. There were no significant differences ( P = 0.18) between the predictive value of the 3 models. CONCLUSIONS Computed tomography perfusion core volumes showed substantial correlation and excellent agreement with MRI. There was no significant difference in the predictive value of the 3 models, suggesting that core volumes measured using CTP software can predict patient prognosis.
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10
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García AO, Brambati SM, Desautels A, Marcotte K. Timing stroke: A review on stroke pathophysiology and its influence over time on diffusion measures. J Neurol Sci 2022; 441:120377. [DOI: 10.1016/j.jns.2022.120377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/30/2022] [Accepted: 07/31/2022] [Indexed: 11/26/2022]
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11
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Zhang Y, Zhuang Y, Ge Y, Wu PY, Zhao J, Wang H, Song B. MRI whole-lesion texture analysis on ADC maps for the prognostic assessment of ischemic stroke. BMC Med Imaging 2022; 22:115. [PMID: 35778678 PMCID: PMC9250246 DOI: 10.1186/s12880-022-00845-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/23/2022] [Indexed: 11/28/2022] Open
Abstract
Background This study aims is to explore whether it is feasible to use magnetic resonance texture analysis (MRTA) in order to distinguish favorable from unfavorable function outcomes and determine the prognostic factors associated with favorable outcomes of stroke. Methods The retrospective study included 103 consecutive patients who confirmed unilateral anterior circulation subacute ischemic stroke by computed tomography angiography between January 2018 and September 2019. Patients were divided into favorable outcome (modified Rankin scale, mRS ≤ 2) and unfavorable outcome (mRS > 2) groups according to mRS scores at day 90. Two radiologists manually segmented the infarction lesions based on diffusion-weighted imaging and transferred the images to corresponding apparent diffusion coefficient (ADC) maps in order to extract texture features. The prediction models including clinical characteristics and texture features were built using multiple logistic regression. A univariate analysis was conducted to assess the performance of the mean ADC value of the infarction lesion. A Delong’s test was used to compare the predictive performance of models through the receiver operating characteristic curve. Results The mean ADC performance was moderate [AUC = 0.60, 95% confidence interval (CI) 0.49–0.71]. The texture feature model of the ADC map (tADC), contained seven texture features, and presented good prediction performance (AUC = 0.83, 95%CI 0.75–0.91). The energy obtained after wavelet transform, and the kurtosis and skewness obtained after Laplacian of Gaussian transformation were identified as independent prognostic factors for the favorable stroke outcomes. In addition, the combination of the tADC model and clinical characteristics (hypertension, diabetes mellitus, smoking, and atrial fibrillation) exhibited a subtly better performance (AUC = 0.86, 95%CI 0.79–0.93; P > 0.05, Delong’s). Conclusion The models based on MRTA on ADC maps are useful to evaluate the clinical function outcomes in patients with unilateral anterior circulation ischemic stroke. Energy obtained after wavelet transform, kurtosis obtained after Laplacian of Gaussian transform, and skewness obtained after Laplacian of Gaussian transform were identified as independent prognostic factors for favorable stroke outcomes.
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Affiliation(s)
- Yuan Zhang
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China
| | - Yuzhong Zhuang
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China
| | - Yaqiong Ge
- Department of Medicine, GE Healthcare, Shanghai, People's Republic of China
| | - Pu-Yeh Wu
- Department of Medicine, GE Healthcare, Beijing, People's Republic of China
| | - Jing Zhao
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, People's Republic of China
| | - Hao Wang
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China.
| | - Bin Song
- Department of Radiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People's Republic of China.
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12
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Kumar A, Chen Y, Corbin A, Hamzehloo A, Abedini A, Vardar Z, Carey G, Bhatia K, Heitsch L, Derakhshan JJ, Lee JM, Dhar R. Automated Measurement of Net Water Uptake From Baseline and Follow-Up CTs in Patients With Large Vessel Occlusion Stroke. Front Neurol 2022; 13:898728. [PMID: 35832178 PMCID: PMC9271791 DOI: 10.3389/fneur.2022.898728] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Quantifying the extent and evolution of cerebral edema developing after stroke is an important but challenging goal. Lesional net water uptake (NWU) is a promising CT-based biomarker of edema, but its measurement requires manually delineating infarcted tissue and mirrored regions in the contralateral hemisphere. We implement an imaging pipeline capable of automatically segmenting the infarct region and calculating NWU from both baseline and follow-up CTs of large-vessel occlusion (LVO) patients. Infarct core is extracted from CT perfusion images using a deconvolution algorithm while infarcts on follow-up CTs were segmented from non-contrast CT (NCCT) using a deep-learning algorithm. These infarct masks were flipped along the brain midline to generate mirrored regions in the contralateral hemisphere of NCCT; NWU was calculated as one minus the ratio of densities between regions, removing voxels segmented as CSF and with HU outside thresholds of 20-80 (normal hemisphere and baseline CT) and 0-40 (infarct region on follow-up). Automated results were compared with those obtained using manually-drawn infarcts and an ASPECTS region-of-interest based method that samples densities within the infarct and normal hemisphere, using intraclass correlation coefficient (ρ). This was tested on serial CTs from 55 patients with anterior circulation LVO (including 66 follow-up CTs). Baseline NWU using automated core was 4.3% (IQR 2.6-7.3) and correlated with manual measurement (ρ = 0.80, p < 0.0001) and ASPECTS (r = -0.60, p = 0.0001). Automatically segmented infarct volumes (median 110-ml) correlated to manually-drawn volumes (ρ = 0.96, p < 0.0001) with median Dice similarity coefficient of 0.83 (IQR 0.72-0.90). Automated NWU was 24.6% (IQR 20-27) and highly correlated to NWU from manually-drawn infarcts (ρ = 0.98) and the sampling-based method (ρ = 0.68, both p < 0.0001). We conclude that this automated imaging pipeline is able to accurately quantify region of infarction and NWU from serial CTs and could be leveraged to study the evolution and impact of edema in large cohorts of stroke patients.
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Affiliation(s)
- Atul Kumar
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Yasheng Chen
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Aaron Corbin
- Saint Louis University School of Medicine, Saint Louis, MO, United States
| | - Ali Hamzehloo
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Amin Abedini
- Department of Radiology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Zeynep Vardar
- Department of Radiology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Grace Carey
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Kunal Bhatia
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Laura Heitsch
- Department of Emergency Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Jamal J. Derakhshan
- Department of Radiology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Jin-Moo Lee
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States
| | - Rajat Dhar
- Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States,*Correspondence: Rajat Dhar
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13
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Broocks G, Meyer L, Ruppert C, Haupt W, Faizy TD, Van Horn N, Bechstein M, Kniep H, Elsayed S, Kemmling A, Barow E, Fiehler J, Hanning U. Effect of Intravenous Alteplase on Functional Outcome and Secondary Injury Volumes in Stroke Patients with Complete Endovascular Recanalization. J Clin Med 2022; 11:jcm11061565. [PMID: 35329891 PMCID: PMC8949925 DOI: 10.3390/jcm11061565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/04/2022] [Accepted: 03/08/2022] [Indexed: 11/22/2022] Open
Abstract
Intravenous thrombolytic therapy with alteplase (IVT) is a standard of care in ischemic stroke, while recent trials investigating direct endovascular thrombectomy (EVT) approaches showed conflicting results. Yet, the effect of IVT on secondary injury volumes in patients with complete recanalization has not been analyzed. We hypothesized that IVT is associated with worse functional outcome and aggravated secondary injury volumes when administered to patients who subsequently attained complete reperfusion after EVT. Anterior circulation ischemic stroke patients with complete reperfusion after thrombectomy defined as thrombolysis in cerebral infarctions (TICI) scale 3 after thrombectomy admitted between January 2013–January 2021 were analyzed. Primary endpoints were the proportion of patients with functional independence defined as modified Rankin Scale (mRS) score 0–2 at day 90, and secondary injury volumes: Edema volume in follow-up imaging measured using quantitative net water uptake (NWU), and the rate of symptomatic intracerebral hemorrhage (sICH). A total of 219 patients were included and 128 (58%) patients received bridging IVT before thrombectomy. The proportion of patients with functional independence was 28% for patients with bridging IVT, and 34% for patients with direct thrombectomy (p = 0.35). The rate of sICH was significantly higher after bridging IVT (20% versus 7.7%, p = 0.01). Multivariable logistic and linear regression analysis confirmed the independent association of bridging IVT with sICH (aOR: 2.78, 95% CI: 1.02–7.56, p = 0.046), and edema volume (aOR: 8.70, 95% CI: 2.57–14.85, p = 0.006). Bridging IVT was associated with increased edema volume and risk for sICH as secondary injury volumes. The results of this study encourage direct EVT approaches, particularly in patients with higher likelihood of successful EVT.
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Affiliation(s)
- Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
- Correspondence:
| | - Lukas Meyer
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Celine Ruppert
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Wolfgang Haupt
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Tobias D. Faizy
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Noel Van Horn
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Matthias Bechstein
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Helge Kniep
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Sarah Elsayed
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Andre Kemmling
- Department of Neuroradiology, Philipps-University Marburg, 35037 Marburg, Germany;
- Department of Neuroradiology, University Medical Center Schleswig-Holstein, Campus Lübeck, 23538 Lübeck, Germany
| | - Ewgenia Barow
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany;
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
| | - Uta Hanning
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (L.M.); (C.R.); (W.H.); (T.D.F.); (N.V.H.); (M.B.); (H.K.); (S.E.); (J.F.); (U.H.)
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14
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Broocks G, Meyer L, McDonough R, Bechstein M, Hanning U, Fiehler J, Kemmling A. The Benefit of Thrombectomy in Patients With Low ASPECTS Is a Matter of Shades of Gray—What Current Trials May Have Missed. Front Neurol 2022; 12:718046. [PMID: 35095708 PMCID: PMC8795604 DOI: 10.3389/fneur.2021.718046] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Abstract
Randomized trials supporting the benefit of endovascular treatment in acute ischemic stroke patients with a large early infarction are not yet available. Few retrospective studies exist that suggest a potential positive treatment effect on functional outcome, as well as procedural safety. However, potential benefit or harm of MT in patients with low initial ASPECTS is still a subject of current debate, and in particular, how to select these patients for treatment. The purpose of this pilot study was to evaluate how early tissue water uptake in acute ischemic brain might determine lesion fate and functional outcome in low ASPECTS patients undergoing MT. We observed that the degree of early water uptake measured by quantitative NWU was significantly associated with functional outcome in low ASPECTS patients, yielding a higher diagnostic power compared to other parameters such as ASPECTS, age, or NIHSS. No conclusive evidence of a beneficial effect of successful reperfusion was observed in patients with low ASPECTS and high NWU, which highlights the potential of NWU as a tool to specify patient selection.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- *Correspondence: Gabriel Broocks
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, University Hospital Schleswig-Holstein, Lübeck, Germany
- Department of Neuroradiology, University of Marburg, Marburg, Germany
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15
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Broocks G, Kemmling A, Teßarek S, McDonough R, Meyer L, Faizy TD, Kniep H, Schön G, Nawka MT, Elsayed S, van Horn N, Cheng B, Thomalla G, Fiehler J, Hanning U. Quantitative Lesion Water Uptake as Stroke Imaging Biomarker: A Tool for Treatment Selection in the Extended Time Window? Stroke 2021; 53:201-209. [PMID: 34538082 DOI: 10.1161/strokeaha.120.033025] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND AND PURPOSE Patients presenting in the extended time window may benefit from mechanical thrombectomy. However, selection for mechanical thrombectomy in this patient group has only been performed using specialized image processing platforms, which are not widely available. We hypothesized that quantitative lesion water uptake calculated in acute stroke computed tomography (CT) may serve as imaging biomarker to estimate ischemic lesion progression and predict clinical outcome in patients undergoing mechanical thrombectomy in the extended time window. METHODS All patients with ischemic anterior circulation stroke presenting within 4.5 to 24 hours after symptom onset who received initial multimodal CT between August 2014 and March 2020 and underwent mechanical thrombectomy were analyzed. Quantitative lesion net water uptake was calculated from the admission CT. Prediction of clinical outcome was assessed using univariable receiver operating characteristic curve analysis and logistic regression analyses. RESULTS One hundred two patients met the inclusion criteria. In the multivariable logistic regression analysis, net water uptake (odds ratio, 0.78 [95% CI, 0.64-0.95], P=0.01), age (odds ratio, 0.94 [95% CI, 0.88-0.99]; P=0.02), and National Institutes of Health Stroke Scale (odds ratio, 0.88 [95% CI, 0.79-0.99], P=0.03) were significantly and independently associated with favorable outcome (modified Rankin Scale score ≤1), adjusted for degree of recanalization and Alberta Stroke Program Early CT Score. A multivariable predictive model including the above parameters yielded the highest diagnostic ability in the classification of functional outcome, with an area under the curve of 0.88 (sensitivity 92.3%, specificity 82.9%). CONCLUSIONS The implementation of quantitative lesion water uptake as imaging biomarker in the diagnosis of patients with ischemic stroke presenting in the extended time window might improve clinical prognosis. Future studies could test this biomarker as complementary or even alternative tool to CT perfusion.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.).,Department of Neuroradiology, University Hospital Marburg, Germany (A.K.).,Department of Neuroradiology, Westpfalzklinikum, Kaiserslautern, Germany (T.D.F.)
| | | | - Svenja Teßarek
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.).,Department of Radiology (S.T.)
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Tobias D Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.).,Department of Radiology, Stanford University (B.C., G.T., T.D.F.)
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Germany. (G.S.).,Lüneburg Medical Center, Germany (G.S.)
| | - Marie Teresa Nawka
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Sarah Elsayed
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Noel van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Bastian Cheng
- Department of Radiology, Stanford University (B.C., G.T., T.D.F.)
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany. (G.T.).,Department of Radiology, Stanford University (B.C., G.T., T.D.F.)
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Germany. (G.B., S.T., R.M., L.M., T.D.F., H.K., M.T.N., S.E., N.v.H., J.F., U.H.)
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Bala F, Ospel J, Mulpur B, Kim BJ, Yoo J, Menon BK, Goyal M, Federau C, Sohn SI, Hussain MS, Almekhlafi MA. Infarct Growth despite Successful Endovascular Reperfusion in Acute Ischemic Stroke: A Meta-analysis. AJNR Am J Neuroradiol 2021; 42:1472-1478. [PMID: 34083260 DOI: 10.3174/ajnr.a7177] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 03/25/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND Infarct volume inversely correlates with good recovery in stroke. The magnitude and predictors of infarct growth despite successful reperfusion via endovascular treatment are not known. PURPOSE We aimed to summarize the extent of infarct growth in patients with acute stroke who achieved successful reperfusion (TICI 2b-3) after endovascular treatment. DATA SOURCES We performed a systematic review and meta-analysis by searching MEDLINE and Google Scholar for articles published up to October 31, 2020. STUDY SELECTION Studies of >10 patients reporting baseline and post-endovascular treatment infarct volumes on MR imaging were included. Only patients with TICI 2b-3 were included. We calculated infarct growth at a study level as the difference between baseline and follow-up MR imaging infarct volumes. DATA ANALYSIS Our search yielded 345 studies, and we included 10 studies reporting on 973 patients having undergone endovascular treatment who achieved successful reperfusion. DATA SYNTHESIS The mean baseline infarct volume was 19.5 mL, while the mean final infarct volume was 37.5 mL. A TICI 2b reperfusion grade was achieved in 24% of patients, and TICI 2c or 3 in 76%. The pooled mean infarct growth was 14.8 mL (95% CI, 7.9-21.7 mL). Meta-regression showed higher infarct growth in studies that reported higher baseline infarct volumes, higher rates of incomplete reperfusion (modified TICI 2b), and longer onset-to-reperfusion times. LIMITATIONS Significant heterogeneity among studies was noted and might be driven by the difference in infarct growth between early- and late-treatment studies. CONCLUSIONS These results suggest considerable infarct growth despite successful endovascular treatment reperfusion and call for a faster workflow and the need for specific therapies to limit infarct growth.
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Affiliation(s)
- F Bala
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences (F.B., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
| | - J Ospel
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Neuroradiology, Clinic of Radiology, and Nuclear Medicine (J.O.), University Hospital Basel, Basel, Switzerland
| | - B Mulpur
- Cerebrovascular Center and Department of Neurology (B.M., M.S.H.), Neurological Institute, Cleveland Clinic, Ohio
| | - B J Kim
- Department of Neurology and Cerebrovascular Center (B.J.K.), Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - J Yoo
- Yonsei University College of Medicine (J.Y.), Yongin Severance Hospital, Yongin, Korea
| | - B K Menon
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences (F.B., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Radiology (B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
| | - M Goyal
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
| | - C Federau
- Institute for Biomedical Engineering (C.F.), Swiss Federal Institute of Technology in Zürich, Zürich, Switzerland
| | - S-I Sohn
- Department of Neurology (S.-I.S.), Keimyung University School of Medicine, Daegu, Korea
| | - M S Hussain
- Cerebrovascular Center and Department of Neurology (B.M., M.S.H.), Neurological Institute, Cleveland Clinic, Ohio
| | - M A Almekhlafi
- From the Calgary Stroke Program (F.B., J.O., B.K.M., M.G., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences (F.B., B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
- Department of Radiology (B.K.M., M.A.A.), University of Calgary, Calgary, Alberta, Canada
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17
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Steffen P, Austein F, Lindner T, Meyer L, Bechstein M, Rümenapp J, Klintz T, Jansen O, Gellißen S, Hanning U, Fiehler J, Broocks G. Value of Dual-Energy Dual-Layer CT After Mechanical Recanalization for the Quantification of Ischemic Brain Edema. Front Neurol 2021; 12:668030. [PMID: 34349718 PMCID: PMC8326321 DOI: 10.3389/fneur.2021.668030] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 06/10/2021] [Indexed: 11/13/2022] Open
Abstract
Background and Purpose: Ischemic brain edema can be measured in computed tomography (CT) using quantitative net water uptake (NWU), a recently established imaging biomarker. NWU determined in follow-up CT after mechanical thrombectomy (MT) has shown to be a strong predictor of functional outcome. However, disruption of the blood-brain barrier after MT may also lead to contrast staining, increasing the density on CT scans, and hence, directly impairing measurements of NWU. The purpose of this study was to determine whether dual-energy dual-layer CT (DDCT) after MT can improve the quantification of NWU by measuring NWU in conventional polychromatic CT images (CP-I) and virtual non-contrast images (VNC-I). We hypothesized that VNC-based NWU (vNWU) differs from NWU in conventional CT (cNWU). Methods: Ten patients with middle cerebral artery occlusion who received a DDCT follow-up scan after MT were included. NWU was quantified in conventional and VNC images as previously published and was compared using paired sample t-tests. Results: The mean cNWU was 3.3% (95%CI: 0-0.41%), and vNWU was 11% (95%CI: 1.3-23.4), which was not statistically different (p = 0.09). Two patients showed significant differences between cNWU and vNWU (Δ = 24% and Δ = 36%), while the agreement of cNWU/vNWU in 8/10 patients was high (difference 2.3%, p = 0.23). Conclusion: NWU may be quantified precisely on conventional CT images, as the underestimation of ischemic edema due to contrast staining was low. However, a proportion of patients after MT might show significant contrast leakage resulting in edema underestimation. Further research is needed to validate these findings and investigate clinical implications.
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Affiliation(s)
- Paul Steffen
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Friederike Austein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Thomas Lindner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johanna Rümenapp
- Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Tristan Klintz
- Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Olav Jansen
- Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Susanne Gellißen
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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18
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Nawabi J, Elsayed S, Scholz H, Kemmling A, Meyer L, Kniep H, Bechstein M, Flottmann F, Faizy TD, Schön G, Fiehler J, Hanning U, Broocks G. Interaction Effect of Baseline Serum Glucose and Early Ischemic Water Uptake on the Risk of Secondary Hemorrhage After Ischemic Stroke. Front Neurol 2021; 12:690193. [PMID: 34305796 PMCID: PMC8297562 DOI: 10.3389/fneur.2021.690193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 06/02/2021] [Indexed: 11/30/2022] Open
Abstract
Background and Purpose: Intracerebral hemorrhage (ICH) after mechanical thrombectomy (MT) for acute ischemic stroke (AIS) remains a major complication and its early prediction is of high relevance. Baseline serum glucose (BGL) is a known predictor of ICH, but its interaction with early ischemic changes remains uncertain. We hypothesized that BGL interacts with the effect of tissue water uptake on the occurrence of ICH. Methods: Three hundred and thirty-six patients with acute ischemic stroke treated with MT were retrospectively analyzed. ICH was diagnosed within 24 h on non-enhanced CT (NECT) and classified according to the Heidelberg Bleeding Classification. Early tissue water homeostasis has been assessed using quantitative lesion net water uptake (NWU) on admission CT. Multivariate logistic regression was used to identify predictors of ICH. Results: One hundred and seven patients fulfilled the inclusion criteria of which 37 (34.6%) were diagnosed with ICH. Patients with ICH had a significant higher BGL on admission (median 177 mg/dl, IQR: 127-221.75, P < 0.001). In patients with low BGL (<120 mg/dl), higher NWU was associated with 1.34-fold increased likelihood of ICH, while higher NWU was associated with a 2.08-fold increased likelihood of ICH in patients with a high BGL (>200 mg/dl). In multivariable logistic regression analysis, BGL (OR: 1.02, 95% CI: 1.00-1.04, P = 0.01) and NWU (OR: 2.32, 95% CI: 1.44-3.73, P < 0.001) were significantly and independently associated with ICH, showing a significant interaction (P = 0.04). Conclusion: A higher degree of early tissue water uptake and high admission BGL were both independent predictors of ICH. Higher BGL was significantly associated with accelerated effects of NWU on the likelihood of ICH. Although a clear causal relationship remains speculative, stricter BGL control and monitoring may be tested to reduce the risk of ICH in patients undergoing thrombectomy.
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Affiliation(s)
- Jawed Nawabi
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Radiology (CCM), Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin, Germany
- Berlin Institute of Health, BIH Biomedical Innovation Academy, Berlin, Germany
| | - Sarah Elsayed
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Henriette Scholz
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - André Kemmling
- University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
- University Medical Center Marburg, Marburg University, Marburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias D. Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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19
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Broocks G, Fiehler J, Hanning U. In Reply: Early Prediction of Malignant Cerebellar Edema in Posterior Circulation Stroke Using Quantitative Lesion Water Uptake. Neurosurgery 2021; 88:E476-E477. [PMID: 33555009 DOI: 10.1093/neuros/nyab032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 12/20/2020] [Indexed: 11/13/2022] Open
Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology University Medical Center Hamburg-Eppendorf Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology University Medical Center Hamburg-Eppendorf Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology University Medical Center Hamburg-Eppendorf Hamburg, Germany
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20
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Xu HB, Sun YF, Luo N, Wang JQ, Chang GC, Tao L, Yang BQ, Chen HS. Net Water Uptake Calculated in Standardized and Blindly Outlined Regions of the Middle Cerebral Artery Territory Predicts the Development of Malignant Edema in Patients With Acute Large Hemispheric Infarction. Front Neurol 2021; 12:645590. [PMID: 33776897 PMCID: PMC7994596 DOI: 10.3389/fneur.2021.645590] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 02/16/2021] [Indexed: 12/19/2022] Open
Abstract
Background and purpose: Previous studies have demonstrated that Net Water Uptake (NWU) is associated with the development of malignant edema (ME). The current study aimed to investigate whether NWU calculated in standardized and blindly outlined regions of the middle cerebral artery can predict the development of ME. Methods: We retrospectively included 119 patients suffering from large hemispheric infarction within onset of 24 h. The region of the middle cerebral artery territory was blindly outlined in a standard manner to calculate NWU. Patients were divided into two groups according to the occurrence of ME, which is defined as space-occupying infarct requiring decompressive craniotomy or death due to cerebral hernia in 7 days from onset. The clinical characteristics were analyzed, and the receiver operating characteristic curve (ROC curve) was used to assess the predictive ability of NWU and other factors for ME. Results: Multivariable analysis showed that NWU was an independent predictor of ME (OR 1.168, 95% CI 1.041-1.310). According to the ROC curve, NWU≥8.127% identified ME with good predictive power (AUC 0.734, sensitivity 0.656, specificity 0.862). Conclusions: NWU calculated in standardized and blindly outlined regions of the middle cerebral artery territory is also a good predictor for the development of ME in patients with large hemispheric infarction.
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Affiliation(s)
- Hai-Bin Xu
- Department of Neurology, General Hospital of Northern Theater Command, ShenYang, China
| | - Yu-Fei Sun
- Department of Neurology, General Hospital of Northern Theater Command, ShenYang, China
| | - Na Luo
- Department of Neurology, General Hospital of Northern Theater Command, ShenYang, China
| | - Jia-Qi Wang
- Department of Neurology, General Hospital of Northern Theater Command, ShenYang, China
| | - Guo-Can Chang
- Department of Neurology, General Hospital of Northern Theater Command, ShenYang, China
| | - Lin Tao
- Department of Neurology, General Hospital of Northern Theater Command, ShenYang, China
| | - Ben-Qiang Yang
- Department of Radiology, General Hospital of Northern Theater Command, ShenYang, China
| | - Hui-Sheng Chen
- Department of Neurology, General Hospital of Northern Theater Command, ShenYang, China
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21
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Broocks G, Jafarov H, McDonough R, Austein F, Meyer L, Bechstein M, van Horn N, Nawka MT, Schön G, Fiehler J, Kniep H, Hanning U. Relationship between the degree of recanalization and functional outcome in acute ischemic stroke is mediated by penumbra salvage volume. J Neurol 2021; 268:2213-2222. [PMID: 33486602 PMCID: PMC8179901 DOI: 10.1007/s00415-021-10410-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 01/13/2021] [Accepted: 01/13/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND The presence of metabolically viable brain tissue that may be salvageable with rapid cerebral blood flow restoration is the fundament rationale for reperfusion therapy in patients with large vessel occlusion stroke. The effect of endovascular treatment (EVT) on functional outcome largely depends on the degree of recanalization. However, the relationship of recanalization degree and penumbra salvage has not yet been investigated. We hypothesized that penumbra salvage volume mediates the effect of thrombectomy on functional outcome. METHODS 99 acute anterior circulation stroke patients who received multimodal CT and underwent thrombectomy with resulting partial to complete reperfusion (modified thrombolysis in cerebral infarction scale (mTICI) ≥ 2a) were retrospectively analyzed. Penumbra volume was quantified on CT perfusion and penumbra salvage volume (PSV) was calculated as difference of penumbra and net infarct growth from admission to follow-up imaging. RESULTS In patients with complete reperfusion (mTICI ≥ 2c), the median PSV was significantly higher than the median PSV in patients with partial or incomplete (mTICI 2a-2b) reperfusion (median 224 mL, IQR: 168-303 versus 158 mL, IQR: 129-225; p < 0.01). A higher degree of recanalization was associated with increased PSV (+ 63 mL per grade, 95% CI: 17-110; p < 0.01). Higher PSV was also associated with improved functional outcome (OR/mRS shift: 0.89; 95% CI: 0.85-0.95, p < 0.0001). CONCLUSIONS PSV may be an important mediator between functional outcome and recanalization degree in EVT patients and could serve as a more accurate instrument to compare treatment effects than infarct volumes.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
| | - Hashim Jafarov
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Friederike Austein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Noel van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Marie Teresa Nawka
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
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22
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Meyer L, Schönfeld M, Bechstein M, Hanning U, Cheng B, Thomalla G, Schön G, Kemmling A, Fiehler J, Broocks G. Ischemic lesion water homeostasis after thrombectomy for large vessel occlusion stroke within the anterior circulation: The impact of age. J Cereb Blood Flow Metab 2021; 41:45-52. [PMID: 32248730 PMCID: PMC7747157 DOI: 10.1177/0271678x20915792] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 01/28/2020] [Accepted: 02/20/2020] [Indexed: 12/14/2022]
Abstract
The effect of age on lesion pathophysiology in the context of thrombectomy has been poorly investigated. We aimed to investigate the impact of age on ischemic lesion water homeostasis measured with net water uptake (NWU) within a multicenter cohort of patients receiving thrombectomy for anterior circulation large vessel occlusion (LVO) stroke. Lesion-NWU was quantified in multimodal CT on admission and 24 h for calculating Δ-NWU as their difference. The impact of age and procedural parameters on Δ-NWU was analyzed. Multivariable regression analysis was performed to identify significant predictors for Δ-NWU. Two hundred and four patients with anterior circulation stroke were included in the retrospective analysis. Comparison of younger and elderly patients showed no significant differences in NWU on admission but significantly higher Δ-NWU (p = 0.005) on follow-up CT in younger patients. In multivariable regression analysis, higher age was independently associated with lowered Δ-NWU (95% confidence interval: -0.59 to -0.16, p < 0.001). Although successful recanalization (TICI ≥ 2b) significantly reduced Δ-NWU progression by 6.4% (p < 0.001), younger age was still independently associated with higher Δ-NWU (p < 0.001). Younger age is significantly associated with increased brain edema formation after thrombectomy for LVO stroke. Younger patients might be particularly receptive targets for future adjuvant neuroprotective drugs that influence ischemic edema formation.
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Affiliation(s)
- Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael Schönfeld
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany
- Faculty of Medicine Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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23
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Wang H, Lin J, Zheng L, Zhao J, Song B, Dai Y. Texture analysis based on ADC maps and T2-FLAIR images for the assessment of the severity and prognosis of ischaemic stroke. Clin Imaging 2020; 67:152-159. [PMID: 32739735 DOI: 10.1016/j.clinimag.2020.06.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 05/12/2020] [Accepted: 06/07/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVES To explore the feasibility of texture analysis based on T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) images and apparent diffusion coefficient (ADC) maps in the assessment of the severity and prognosis of ischaemic stroke using the National Institutes of Health Stroke Scale (NIHSS) and modified Rankin scale (mRS) scores, respectively. METHODS Overall, 116 patients diagnosed with subacute ischaemic stroke were included in this retrospective study. Based on T2-FLAIR images and ADC maps, 15 texture features were extracted from the ROIs of each patient using grey-level co-occurrence matrix (GLCM) and local binary pattern histogram Fourier (LBP-HF) methods. The correlations of NIHSS score on admission (NIHSSbaseline), NIHSS score 24 h after stroke onset (NIHSS24h) and mRS score with the texture features were evaluated using Spearman's partial correlations. The receiver operating characteristic (ROC) curve was used to compare the performance of the selected texture features in the evaluation of stroke severity and prognosis. RESULTS Texture features derived from the T2-FLAIR images and ADC maps were correlated with NIHSS score and mRS score. EntropyADC and 0.75QuantileT2-FLAIR showed the best diagnostic performance for assessing stroke severity. The combination of EntropyADC and 0.75QuantileT2-FLAIR achieved a better performance in the evaluation of stroke severity (AUC = 0.7, p = 0.01) than either feature alone. Only 0.05QuantileT2-FLAIR was found to be correlated with mRS score, and none of the texture features were predictive of mRS score. CONCLUSION Texture features derived from T2-FLAIR images and ADC maps might serve as biomarkers to evaluate stroke severity, but were insufficient to predict stroke prognosis.
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Affiliation(s)
- Hao Wang
- Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China
| | - Jixian Lin
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China; Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Liyun Zheng
- Central Research Institute, United Imaging Healthcare, Shanghai, China
| | - Jing Zhao
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
| | - Bin Song
- Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China.
| | - Yongming Dai
- Central Research Institute, United Imaging Healthcare, Shanghai, China
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Lietke S, Zausinger S, Patzig M, Holtmanspötter M, Kunz M. CT-Based Classification of Acute Cerebral Edema: Association with Intracranial Pressure and Outcome. J Neuroimaging 2020; 30:640-647. [PMID: 32462690 DOI: 10.1111/jon.12736] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 04/26/2020] [Accepted: 05/12/2020] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE Brain edema after acute cerebral lesions may lead to raised intracranial pressure (ICP) and worsen outcome. Notwithstanding, no CT-based scoring system to quantify edema formation exists. This retrospective correlative analysis aimed to establish a valid and definite CT score quantifying brain edema after common acute cerebral lesions. METHODS A total of 169 CT investigations in 60 patients were analyzed: traumatic brain injury (TBI; n = 47), subarachnoid hemorrhage (SAH; n = 70), intracerebral hemorrhage (ICH; n = 42), and ischemic stroke (n = 10). Edema formation was classified as 0: no edema, 1: focal edema confined to 1 lobe, 2: unilateral edema > 1 lobe, 3: bilateral edema, 4: global edema with disappearance of sulcal relief, and 5: global edema with basal cisterns effacement. ICP and Glasgow Outcome Score (GOS) were correlated to edema formation. RESULTS Median ICP values were 12.0, 14.0, 14.9, 18.2, and 25.9 mm Hg in grades 1-5, respectively. Edema grading significantly correlated with ICP (r = .51; P < .0001) in focal and global cerebral edema, particularly in patients with TBI, SAH, and ICH (r = .5, P < .001; r = .5; P < .0001; r = .6, P < .0001, respectively). At discharge, 23.7% of patients achieved a GOS of 5 or 4, 65.0% reached a GOS of 3 or 2, and 11.9% died (GOS 1). CT-score of cerebral edema in all patients correlated with outcome (r = -.3, P = .046). CONCLUSION The proposed CT-based grading of extent of cerebral edema significantly correlated with ICP and outcome in TBI, SAH, and ICH patients and might be helpful for standardized description of CT-images and as parameter for clinical studies, for example, measuring effects of antiedematous therapies.
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Affiliation(s)
- Stefanie Lietke
- Department of Neurosurgery, Ludwigs-Maximilians University, Munich, Germany
| | - Stefan Zausinger
- Department of Neurosurgery, Ludwigs-Maximilians University, Munich, Germany
| | - Maximilian Patzig
- Institute for Neuroradiology, Ludwig-Maximilians University, Munich, Germany
| | - Markus Holtmanspötter
- Institute for Neuroradiology, Ludwig-Maximilians University, Munich, Germany.,Nuremberg Hospital, Neuroradiology, Paracelsus Medical University, Nürnberg, Germany
| | - Mathias Kunz
- Department of Neurosurgery, Ludwigs-Maximilians University, Munich, Germany
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25
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Broocks G, Hanning U, Faizy TD, Scheibel A, Nawabi J, Schön G, Forkert ND, Langner S, Fiehler J, Gellißen S, Kemmling A. Ischemic lesion growth in acute stroke: Water uptake quantification distinguishes between edema and tissue infarct. J Cereb Blood Flow Metab 2020; 40:823-832. [PMID: 31072174 PMCID: PMC7168794 DOI: 10.1177/0271678x19848505] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 03/11/2019] [Accepted: 04/02/2019] [Indexed: 01/31/2023]
Abstract
Infarct growth from the early ischemic core to the total infarct lesion volume (LV) is often used as an outcome variable of treatment effects, but can be overestimated due to vasogenic edema. The purpose of this study was (1) to assess two components of early lesion growth by distinguishing between water uptake and true net infarct growth and (2) to investigate potential treatment effects on edema-corrected net lesion growth. Sixty-two M1-MCA-stroke patients with acute multimodal and follow-up CT (FCT) were included. Ischemic lesion growth was calculated by subtracting the initial CTP-derived ischemic core volume from the LV in the FCT. To determine edema-corrected net lesion growth, net water uptake of the ischemic lesion on FCT was quantified and subtracted from the volume of uncorrected lesion growth. The mean lesion growth without edema correction was 20.4 mL (95% CI: 8.2-32.5 mL). The mean net lesion growth after edema correction was 7.3 mL (95% CI: -2.1-16.7 mL; p < 0.0001). Lesion growth was significantly overestimated due to ischemic edema when determined in early-FCT imaging. In 18 patients, LV was lower than the initial ischemic core volume by CTP. These apparently "reversible" core lesions were more likely in patients with shorter times from symptom onset to imaging and higher recanalization rates.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional
Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional
Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias D Faizy
- Department of Diagnostic and Interventional
Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alexandra Scheibel
- Department of Diagnostic and Interventional
Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jawed Nawabi
- Department of Diagnostic and Interventional
Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and
Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nils D Forkert
- Department of Radiology, Hotchkiss Brain
Institute, University of Calgary, Calgary, Canada
| | - Soenke Langner
- Department of Neuroradiology, University of
Rostock, Rostock, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional
Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Susanne Gellißen
- Department of Diagnostic and Interventional
Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, University
Hospital Schleswig-Holstein, Luebeck, Germany
- Department of Neurology, University Hospital
Münster, Münster, Germany
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26
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Broocks G, Hanning U, Flottmann F, Schönfeld M, Faizy TD, Sporns P, Baumgart M, Leischner H, Schön G, Minnerup J, Thomalla G, Fiehler J, Kemmling A. Clinical benefit of thrombectomy in stroke patients with low ASPECTS is mediated by oedema reduction. Brain 2020; 142:1399-1407. [PMID: 30859191 DOI: 10.1093/brain/awz057] [Citation(s) in RCA: 128] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 01/14/2019] [Accepted: 01/18/2019] [Indexed: 11/14/2022] Open
Abstract
The impact of endovascular vessel recanalization on patients with a low initial Alberta Stroke Program Early Computer Tomography Score (ASPECTS) is still uncertain. We hypothesized that vessel recanalization leads to an improvement in mortality and degree of disability by reducing brain oedema and malignant mass effect. In this multicentre observational study, patients with acute ischaemic stroke due to large vessel occlusion in the anterior circulation and an ASPECTS of ≤ 5 were analysed. Patients were assembled into two groups: successful vessel recanalization (thrombolysis in cerebral infarctions, TICI scale 2b/3) or persistent vessel occlusion (no endovascular procedure or TICI scale 0-2a). Observers were blinded to clinical data. Net water uptake within brain infarct, a quantitative biomarker based on CT densitometry, was used to quantify oedema in admission and follow-up CT and Δ-water uptake was calculated as difference between water uptake at both time points. Occurrence of malignant infarctions and secondary parenchymal haemorrhage was documented. Furthermore, modified Rankin scale score at 90 days was used for functional outcome. We included 117 patients admitted between March 2015 and August 2017 in three German stroke centres: 71 with persistent vessel occlusion and 46 with successful recanalization. The mean water uptake in the admission imaging was not different between both groups: 10.0% (±4.8) in patients with persistent vessel occlusion and 9.0% (±4.8) in patients with vessel recanalization (P = 0.4). After follow-up CT, the mean Δ-water uptake was 16.0% (±7.5) in patients with persistent vessel occlusion and 8.0% (±5.7) in patients with vessel recanalization (P < 0.001). Successful reperfusion was independently associated with a lowered Δ-water uptake of 8.0% (95% confidence interval, CI: -10.5 to -5.3%; P < 0.001) and lowered modifed Rankin scale score after 90 days of 1.5 (95% CI: -2.2 to -0.8; P < 0.001). The prevalence of malignant infarctions was 44.3% in patients with persistent vessel occlusion and 26.1% in patients with vessel recanalization. There was no significant difference for secondary haemorrhage in both groups (P = 0.7). In conclusion, successful recanalization in patients with low initial ASPECTS resulted in a significant reduction of oedema formation and was associated with a decreased prevalence of malignant infarctions and an improvement of clinical outcome.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael Schönfeld
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias Djamsched Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Sporns
- Department of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Michael Baumgart
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hannes Leischner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Minnerup
- Department of Neurology, University Hospital Münster, Münster, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Neuroradiology, University Hospital Schleswig-Holstein, Luebeck, Germany.,Department of Neuroradiology, University Hospital Münster, Münster, Germany
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27
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Broocks G, Flottmann F, Hanning U, Schön G, Sporns P, Minnerup J, Fiehler J, Kemmling A. Impact of endovascular recanalization on quantitative lesion water uptake in ischemic anterior circulation strokes. J Cereb Blood Flow Metab 2020; 40:437-445. [PMID: 30628850 PMCID: PMC7370621 DOI: 10.1177/0271678x18823601] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Studies evaluating the effect of reperfusion on ischemic edema in acute stroke described conflicting results. Net water uptake (NWU) per brain volume is a new quantitative imaging biomarker of space-occupying ischemic edema, which can be measured in computed tomography (CT). We sought to investigate the effects of vessel recanalization on the formation of ischemic brain edema using quantitative NWU. In this multicenter observational study, acute ischemic stroke patients with a large vessel occlusion (LVO) in the anterior circulation were consecutively screened. Patients with vessel recanalization (thrombolysis in cerebral infarction (TICI) 2 b or 3) versus persistent vessel occlusion (no thrombectomy, TICI 0-1) were compared. Lesion-NWU was quantified in multimodal admission CT and follow-up CT (FCT), and ΔNWU was calculated as difference. Of 194 included patients, 150 had successful endovascular recanalization and 44 persistent LVO. In FCT after treatment, the mean (standard deviation) ΔNWU was 15.8% (5.7) in patients with persistent LVO and 9.8% (5.8) with vessel recanalization (p < 0.001). In multivariate regression analysis, vessel recanalization was independently associated with a lowered ΔNWU by 6.3% compared to LVO (95% confidence interval: 3.7-9.0, p < 0.001). Successful vessel recanalization was associated with a significantly reduced formation of ischemic brain edema. Quantitative NWU may be used to compare the treatment effects in acute stroke.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Sporns
- Department of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Jens Minnerup
- Department of Neurology, University Hospital Münster, Münster, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Clinical Radiology, University Hospital Münster, Münster, Germany
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28
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Futile Recanalization With Poor Clinical Outcome Is Associated With Increased Edema Volume After Ischemic Stroke. Invest Radiol 2019; 54:282-287. [PMID: 30562271 DOI: 10.1097/rli.0000000000000539] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Futile recanalization with poor clinical outcome after endovascular treatment of acute ischemic stroke is poorly understood. Recently, vessel recanalization has been associated with reduced ischemic brain edema in patients with good clinical outcome. As edema volume (EV) may be quantified in computed tomography (CT), we hypothesized that higher EV after revascularization predicts futile recanalization with poor outcome. METHODS In this observational study, 67 ischemic stroke patients with M1 middle cerebral artery occlusion fulfilled all inclusion criteria and were analyzed. All patients received successful endovascular recanalization (thrombolysis in cerebral infarction scale 2b/3) and subsequent follow-up CT 24 hours later. Edema volume within the infarct lesion was calculated in follow-up CT applying lesion water uptake quantification and was used to predict clinical outcome (Modified Rankin Scale [mRS] after 90 days) compared with infarct volume. RESULTS The median EV after thrombectomy was 1.6 mL (interquartile range, 0.2-4.2 mL) in patients with mRS 0 to 4 and 8.6 mL (interquartile range, 2.0-49.8 mL) in patients with mRS 5 to 6 (P = 0.0008). In regression analysis, an EV increase of 1 mL was associated with an 8.0% increased likelihood of poor outcome (95% confidence interval, 2.8%-15.4%; P = 0.008). Based on univariate receiver operating characteristic curve analysis, absolute EV over 4.2 mL predicted poor outcome (mRS 5-6) with good discriminative power (area under curve, 0.74; 95% confidence interval, 0.62-0.84; specificity, 77%; sensitivity, 68%). In comparison, the area under curve for infarct volume was 0.68. CONCLUSIONS Elevated EV after endovascular thrombectomy was associated with poor clinical outcome and may indicate futile recanalization.
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29
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Broocks G, Kniep H, Schramm P, Hanning U, Flottmann F, Faizy T, Schönfeld M, Meyer L, Schön G, Aulmann L, Machner B, Royl G, Fiehler J, Kemmling A. Patients with low Alberta Stroke Program Early CT Score (ASPECTS) but good collaterals benefit from endovascular recanalization. J Neurointerv Surg 2019; 12:747-752. [DOI: 10.1136/neurintsurg-2019-015308] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 10/17/2019] [Accepted: 10/29/2019] [Indexed: 11/04/2022]
Abstract
BackgroundBenefit of thrombectomy in patients with a low initial Alberta Stroke Program Early CT Score (ASPECTS) is still uncertain. We hypothesized that, despite low ASPECTS, patients may benefit from endovascular recanalization if good collaterals are present.MethodsIschemic stroke patients with large vessel occlusion in the anterior circulation and an ASPECTS of ≤5 were analyzed. Collateral status (CS) was assessed using a 5-point-scoring system in CT angiography with poor CS defined as CS=0–1. Clinical outcome was determined using the modified Rankin Scale (mRS) score after 90 days. Edema formation was measured in admission and follow-up CT by net water uptake.Results27/100 (27%) patients exhibited a CS of 2–4. 50 patients underwent successful vessel recanalization and 50 patients had a persistent vessel occlusion. In multivariable logistic regression analysis, collateral status (OR 3.0; p=0.003) and vessel recanalization (OR 12.2; p=0.009) significantly increased the likelihood of a good outcome (mRS 0–3). A 1-point increase in CS was associated with 1.9% (95% CI 0.2% to 3.7%) lowered lesion water uptake in follow-up CT .ConclusionEndovascular recanalization in patients with ASPECTS of ≤5 but good collaterals was linked to improved clinical outcome and attenuated edema formation. Collateral status may serve as selection criterion for thrombectomy in low ASPECTS patients.
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30
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Broocks G, Kemmling A, Aberle J, Kniep H, Bechstein M, Flottmann F, Leischner H, Faizy TD, Nawabi J, Schön G, Sporns P, Thomalla G, Fiehler J, Hanning U. Elevated blood glucose is associated with aggravated brain edema in acute stroke. J Neurol 2019; 267:440-448. [PMID: 31667625 DOI: 10.1007/s00415-019-09601-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 10/20/2019] [Accepted: 10/21/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND AND PURPOSE Clinical outcome after endovascular thrombectomy in patients with acute ischemic stroke still varies significantly. Higher blood glucose levels (BGL) have been associated with worse clinical outcome, but the pathophysiological causes are not yet understood. We hypothesized that higher levels of BGL are associated with more pronounced ischemic brain edema and worse clinical outcome mediated by cerebral collateral circulation. METHODS 178 acute ischemic stroke patients who underwent mechanical thrombectomy were included. Early ischemic brain edema was determined using quantitative lesion water uptake on initial computed tomography (CT) and collateral status was assessed with an established 5-point scoring system in CT-angiography. Good clinical outcome was defined as functional independence (modified Rankin Scale [mRS] score 0-2). Multivariable logistic regression analysis was performed to predict functional independence and linear regression analyses to investigate the impact of BGL and collateral status on water uptake. RESULTS The mean BGL at admission was significantly lower in patients with good outcome at 90 days (116.5 versus 138.5 mg/dl; p < 0.001) and early water uptake was lower (6.3% versus 9.6%; p < 0.001). The likelihood for good outcome declined with increasing BGL (odds ratio [OR] per 100 mg/dl BGL increase: 0.15; 95% CI 0.02-0.86; p = 0.039). Worse collaterals (1% water uptake per point, 95% CI 0.4-1.7%) and higher BGL (0.6% per 10 mg/dl BGL, 95% CI 0.3-0.8%) were significantly associated with increased water uptake. CONCLUSION Elevated admission BGL were associated with increased early brain edema and poor clinical outcome mediated by collateral status. Patients with higher BGL might be targeted by adjuvant anti-edematous treatment.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
| | - Andre Kemmling
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany.,Faculty of Medicine Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Jens Aberle
- Department of Endocrinology and Diabetology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Hannes Leischner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Tobias D Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Jawed Nawabi
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.,Department of Radiology, Charité University Medical Center, Berlin, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Sporns
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
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31
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Nawabi J, Flottmann F, Kemmling A, Kniep H, Leischner H, Sporns P, Schön G, Hanning U, Thomalla G, Fiehler J, Broocks G. Elevated early lesion water uptake in acute stroke predicts poor outcome despite successful recanalization – When “tissue clock” and “time clock” are desynchronized. Int J Stroke 2019; 16:863-872. [DOI: 10.1177/1747493019884522] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Ischemic water uptake in acute stroke is a reliable indicator of lesion age. Nevertheless, inter-individually varying edema progression has been observed and elevated water uptake has recently been described as predictor of malignant infarction. Aims We hypothesized that early-elevated lesion water uptake indicates accelerated “tissue clock” desynchronized with “time clock” and therefore predicts poor clinical outcome despite successful recanalization. Methods Acute middle cerebral artery stroke patients with multimodal admission-CT who received successful thrombectomy (TICI 2b/3) were analyzed. Net water uptake (NWU), a quantitative imaging biomarker of ischemic edema, was determined in admission-CT and tested as predictor of clinical outcome using modified Rankin Scale (mRS) after 90 days. A binary outcome was defined for mRS 0–4 and mRS 5–6. Results Seventy-two patients were included. The mean NWU (SD) in patients with mRS 0–4 was lower compared to patients with mRS 5–6 (5.0% vs. 12.1%; p < 0.001) with similar time from symptom onset to imaging (2.6 h vs. 2.4 h; p = 0.7). Based on receiver operating curve analysis, NWU above 10% identified patients with very poor outcome with high discriminative power (AUC 0.85), followed by Alberta Stroke Program Early CT Score (ASPECTS) (AUC: 0.72) and National Institutes of Health Stroke Scale (NIHSS) (AUC: 0.72). Conclusions Quantitative NWU may serve as an indicator of “tissue clock” and pronounced early brain edema with elevated NWU might suggest a desynchronized “tissue clock” with real “time clock” and therefore predict futile recanalization with poor clinical outcome.
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Affiliation(s)
- Jawed Nawabi
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, University Hospital Münster, Münster, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hannes Leischner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Sporns
- Department of Radiology, University Hospital Münster, Münster, Germany
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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32
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Broocks G, Kniep H, Kemmling A, Flottmann F, Nawabi J, Elsayed S, Schön G, Thomalla G, Fiehler J, Hanning U. Effect of intravenous alteplase on ischaemic lesion water homeostasis. Eur J Neurol 2019; 27:376-383. [PMID: 31529738 DOI: 10.1111/ene.14088] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 09/03/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Intravenous (IV) lysis with alteplase is known to increase biomarkers of blood-brain barrier breakdown and has therefore been associated with secondary injuries such as hemorrhagic transformation. The impact of alteplase on brain edema formation, however, has not been investigated yet. The purpose was to examine the effects of IV alteplase on ischaemic lesion water homeostasis differentiated from final tissue infarct in patients with and without successful endovascular therapy (sET). METHODS In all, 232 middle cerebral artery stroke patients were analyzed. 147 patients received IV alteplase, of whom 106 patients received subsequent sET. Out of 85 patients without IV alteplase, 50 received sET. Ischaemic brain edema was quantified at admission and follow-up computed tomography using quantitative lesion net water uptake (NWU) and its difference was calculated (ΔNWU). The relationship of alteplase on ΔNWU and edema-corrected final infarct volume was analyzed using univariate and multivariate linear regression models. RESULTS The mean ΔNWU was 11.8% (SD 7.9) in patients with alteplase and 11.5% (SD 8.3) in patients without alteplase (P = 0.8). Alteplase was not associated with lowered ΔNWU whilst being associated with reduced edema-corrected tissue infarct volume [-27.4 ml, 95% confidence interval (CI) -49.4 to -5.4 ml; P = 0.02], adjusted for the Alberta Stroke Program Early Computed Tomography Score and recanalization status. In patients with sET, ΔNWU was 10.5% (95% CI 6.3%-10.5%) for patients with IV alteplase and 8.4% (95% CI 9.1%-12.0%) for patients without IV alteplase. CONCLUSION The application of IV alteplase did not significantly alter ischaemic lesion water homeostasis but was associated with reduced edema-corrected tissue infarct volume, which might be directly linked to improved functional outcome.
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Affiliation(s)
- G Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - H Kniep
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - A Kemmling
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany.,Faculty of Medicine Mannheim, University of Heidelberg, Heidelberg, Germany
| | - F Flottmann
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - J Nawabi
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - S Elsayed
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - G Schön
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - G Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - J Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - U Hanning
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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