Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke

Abstract Dual-energy CT (DECT) material decomposition techniques may better detect edema within cerebral infarcts than conventional non-contrast CT (NCCT). This study compared if Virtual Ischemia Maps (VIM) derived from non-contrast DECT of patients with acute ischemic stroke due to large-vessel occ...

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Autores principales: Dylan N. Wolman, Fasco van Ommen, Elizabeth Tong, Frans Kauw, Jan Willem Dankbaar, Edwin Bennink, Hugo W. A. M. de Jong, Lior Molvin, Max Wintermark, Jeremy J. Heit
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/4d1b5777228846d498e8256ae82524dc
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spelling oai:doaj.org-article:4d1b5777228846d498e8256ae82524dc2021-12-02T16:36:12ZNon-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke10.1038/s41598-021-85143-32045-2322https://doaj.org/article/4d1b5777228846d498e8256ae82524dc2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85143-3https://doaj.org/toc/2045-2322Abstract Dual-energy CT (DECT) material decomposition techniques may better detect edema within cerebral infarcts than conventional non-contrast CT (NCCT). This study compared if Virtual Ischemia Maps (VIM) derived from non-contrast DECT of patients with acute ischemic stroke due to large-vessel occlusion (AIS-LVO) are superior to NCCT for ischemic core estimation, compared against reference-standard DWI-MRI. Only patients whose baseline ischemic core was most likely to remain stable on follow-up MRI were included, defined as those with excellent post-thrombectomy revascularization or no perfusion mismatch. Twenty-four consecutive AIS-LVO patients with baseline non-contrast DECT, CT perfusion (CTP), and DWI-MRI were analyzed. The primary outcome measure was agreement between volumetric manually segmented VIM, NCCT, and automatically segmented CTP estimates of the ischemic core relative to manually segmented DWI volumes. Volume agreement was assessed using Bland–Altman plots and comparison of CT to DWI volume ratios. DWI volumes were better approximated by VIM than NCCT (VIM/DWI ratio 0.68 ± 0.35 vs. NCCT/DWI ratio 0.34 ± 0.35; P < 0.001) or CTP (CTP/DWI ratio 0.45 ± 0.67; P < 0.001), and VIM best correlated with DWI (rVIM = 0.90; rNCCT = 0.75; rCTP = 0.77; P < 0.001). Bland–Altman analyses indicated significantly greater agreement between DWI and VIM than NCCT core volumes (mean bias 0.60 [95%AI 0.39–0.82] vs. 0.20 [95%AI 0.11–0.30]). We conclude that DECT VIM estimates the ischemic core in AIS-LVO patients more accurately than NCCT.Dylan N. WolmanFasco van OmmenElizabeth TongFrans KauwJan Willem DankbaarEdwin BenninkHugo W. A. M. de JongLior MolvinMax WintermarkJeremy J. HeitNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Dylan N. Wolman
Fasco van Ommen
Elizabeth Tong
Frans Kauw
Jan Willem Dankbaar
Edwin Bennink
Hugo W. A. M. de Jong
Lior Molvin
Max Wintermark
Jeremy J. Heit
Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke
description Abstract Dual-energy CT (DECT) material decomposition techniques may better detect edema within cerebral infarcts than conventional non-contrast CT (NCCT). This study compared if Virtual Ischemia Maps (VIM) derived from non-contrast DECT of patients with acute ischemic stroke due to large-vessel occlusion (AIS-LVO) are superior to NCCT for ischemic core estimation, compared against reference-standard DWI-MRI. Only patients whose baseline ischemic core was most likely to remain stable on follow-up MRI were included, defined as those with excellent post-thrombectomy revascularization or no perfusion mismatch. Twenty-four consecutive AIS-LVO patients with baseline non-contrast DECT, CT perfusion (CTP), and DWI-MRI were analyzed. The primary outcome measure was agreement between volumetric manually segmented VIM, NCCT, and automatically segmented CTP estimates of the ischemic core relative to manually segmented DWI volumes. Volume agreement was assessed using Bland–Altman plots and comparison of CT to DWI volume ratios. DWI volumes were better approximated by VIM than NCCT (VIM/DWI ratio 0.68 ± 0.35 vs. NCCT/DWI ratio 0.34 ± 0.35; P < 0.001) or CTP (CTP/DWI ratio 0.45 ± 0.67; P < 0.001), and VIM best correlated with DWI (rVIM = 0.90; rNCCT = 0.75; rCTP = 0.77; P < 0.001). Bland–Altman analyses indicated significantly greater agreement between DWI and VIM than NCCT core volumes (mean bias 0.60 [95%AI 0.39–0.82] vs. 0.20 [95%AI 0.11–0.30]). We conclude that DECT VIM estimates the ischemic core in AIS-LVO patients more accurately than NCCT.
format article
author Dylan N. Wolman
Fasco van Ommen
Elizabeth Tong
Frans Kauw
Jan Willem Dankbaar
Edwin Bennink
Hugo W. A. M. de Jong
Lior Molvin
Max Wintermark
Jeremy J. Heit
author_facet Dylan N. Wolman
Fasco van Ommen
Elizabeth Tong
Frans Kauw
Jan Willem Dankbaar
Edwin Bennink
Hugo W. A. M. de Jong
Lior Molvin
Max Wintermark
Jeremy J. Heit
author_sort Dylan N. Wolman
title Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke
title_short Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke
title_full Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke
title_fullStr Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke
title_full_unstemmed Non-contrast dual-energy CT virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke
title_sort non-contrast dual-energy ct virtual ischemia maps accurately estimate ischemic core size in large-vessel occlusive stroke
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/4d1b5777228846d498e8256ae82524dc
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