CIMFLOVÁ, Petra, Ondřej VOLNÝ, Robert MIKULÍK, Bohdan TYSHCHENKO, Silvie BELASKOVA, Jan VINKLAREK, Vladimír ČERVEŇÁK, Tomáš KŘIVKA, Jiří VANÍČEK and Antonin KRAJINA. Detection of ischemic changes on baseline multimodal computed tomography: expert reading vs. Brainomix and RAPID software. JOURNAL OF STROKE & CEREBROVASCULAR DISEASES. AMSTERDAM: ELSEVIER SCIENCE BV, 2020, vol. 29, No 9, p. 1-10. ISSN 1052-3057. Available from: https://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2020.104978.
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Basic information
Original name Detection of ischemic changes on baseline multimodal computed tomography: expert reading vs. Brainomix and RAPID software
Authors CIMFLOVÁ, Petra (203 Czech Republic, guarantor, belonging to the institution), Ondřej VOLNÝ (203 Czech Republic), Robert MIKULÍK (203 Czech Republic, belonging to the institution), Bohdan TYSHCHENKO (203 Czech Republic), Silvie BELASKOVA (203 Czech Republic), Jan VINKLAREK (203 Czech Republic), Vladimír ČERVEŇÁK (203 Czech Republic, belonging to the institution), Tomáš KŘIVKA (203 Czech Republic, belonging to the institution), Jiří VANÍČEK (203 Czech Republic, belonging to the institution) and Antonin KRAJINA (203 Czech Republic).
Edition JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, AMSTERDAM, ELSEVIER SCIENCE BV, 2020, 1052-3057.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30103 Neurosciences
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.136
RIV identification code RIV/00216224:14110/20:00116319
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2020.104978
UT WoS 000560747000053
Keywords in English Stroke imaging; Early ischemic changes; ASPECTS; e-ASPECTS; CT perfusion; RAPID
Tags 14110119, 14110127, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 2/9/2020 14:15.
Abstract
Purpose: 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. Methods: 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. Results: 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. Conclusion: 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. (c) 2020 Elsevier Inc. All rights reserved.
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