Detection of ischemic changes on baseline multimodal computed tomography: expert reading vs. Brainomix and RAPID software.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 24 01 2020
revised: 29 04 2020
accepted: 17 05 2020
entrez: 19 8 2020
pubmed: 19 8 2020
medline: 31 10 2020
Statut: ppublish

Résumé

The aim of the study was to compare the assessment of ischemic changes by expert reading and available automated software for non-contrast CT (NCCT) and CT perfusion on baseline multimodal imaging and demonstrate the accuracy for the final infarct prediction. Early ischemic changes were measured by ASPECTS on the baseline neuroimaging of consecutive patients with anterior circulation ischemic stroke. The presence of early ischemic changes was assessed a) on NCCT by two experienced raters, b) on NCCT by e-ASPECTS, and c) visually on derived CT perfusion maps (CBF<30%, Tmax>10s). Accuracy was calculated by comparing presence of final ischemic changes on 24-hour follow-up for each ASPECTS region and expressed as sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The subanalysis for patients with successful recanalization was conducted. Of 263 patients, 81 fulfilled inclusion criteria. Median baseline ASPECTS was 9 for all tested modalities. Accuracy was 0.76 for e-ASPECTS, 0.79 for consensus, 0.82 for CBF<30%, 0.80 for Tmax>10s. e-ASPECTS, consensus, CBF<30%, and Tmax>10s had sensitivity 0.41, 0.46, 0.49, 0.57, respectively; specificity 0.91, 0.93, 0.95, 0.91, respectively; PPV 0.66, 0.75, 0.82, 0.73, respectively; NPV 0.78, 0.80, 0.82, 0.83, respectively. Results did not differ in patients with and without successful recanalization. This study demonstrated high accuracy for the assessment of ischemic changes by different CT modalities with the best accuracy for CBF<30% and Tmax>10s. The use of automated software has a potential to improve the detection of ischemic changes.

Identifiants

pubmed: 32807415
pii: S1052-3057(20)30396-7
doi: 10.1016/j.jstrokecerebrovasdis.2020.104978
pii:
doi:

Types de publication

Comparative Study Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

104978

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest PC is a consultant for iSchemaView, Inc.; other authors declare that they have no conflict of interest.

Auteurs

Petra Cimflova (P)

Department of Medical Imaging, St. Anne´s University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic; International Clinical Research Centre, Stroke Research Program, St. Anne´s University Hospital, Brno, Czech Republic. Electronic address: petra.cimflova@fnusa.cz.

Ondrej Volny (O)

International Clinical Research Centre, Stroke Research Program, St. Anne´s University Hospital, Brno, Czech Republic; Departments of Clinical Neurosciences, Calgary Stroke Program, Cumming School of Medicine, University of Calgary, Calgary, Canada; Department of Neurology, Faculty Hospital Ostrava, Ostrava, Czech Republic. Electronic address: 214565@mail.muni.cz.

Prof Robert Mikulik (PR)

International Clinical Research Centre, Stroke Research Program, St. Anne´s University Hospital, Brno, Czech Republic; Department of Neurology, St. Anne´s University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic. Electronic address: mikulik@hotmail.com.

Bohdan Tyshchenko (B)

International Clinical Research Centre, Stroke Research Program, St. Anne´s University Hospital, Brno, Czech Republic. Electronic address: bohdan.tyshchenko@fnusa.cz.

Silvie Belaskova (S)

International Clinical Research Centre, Stroke Research Program, St. Anne´s University Hospital, Brno, Czech Republic. Electronic address: silvie.belaskova@fnusa.cz.

Jan Vinklarek (J)

Department of Neurology, Faculty Hospital Ostrava, Ostrava, Czech Republic. Electronic address: jan.vinklarek@fnusa.cz.

Vladimir Cervenak (V)

Department of Medical Imaging, St. Anne´s University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic. Electronic address: vladimir.cervenak@fnusa.cz.

Tomas Krivka (T)

Department of Medical Imaging, St. Anne´s University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic. Electronic address: tomas.krivka@fnusa.cz.

Assoc Prof Jiri Vanicek (APJ)

Department of Medical Imaging, St. Anne´s University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic. Electronic address: vanicek@fnusa.cz.

Prof Antonin Krajina (PA)

Department of Radiology, Charles University, Faculty of Medicine and University Hospital, Hradec Kralove, Czech Republic. Electronic address: antonin.krajina@fnhk.cz.

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