J 2020

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

CIMFLOVÁ, Petra, Ondřej VOLNÝ, Robert MIKULÍK, Bohdan TYSHCHENKO, Silvie BELASKOVA et. al.

Základní údaje

Originální název

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

Autoři

CIMFLOVÁ, Petra (203 Česká republika, garant, domácí), Ondřej VOLNÝ (203 Česká republika), Robert MIKULÍK (203 Česká republika, domácí), Bohdan TYSHCHENKO (203 Česká republika), Silvie BELASKOVA (203 Česká republika), Jan VINKLAREK (203 Česká republika), Vladimír ČERVEŇÁK (203 Česká republika, domácí), Tomáš KŘIVKA (203 Česká republika, domácí), Jiří VANÍČEK (203 Česká republika, domácí) a Antonin KRAJINA (203 Česká republika)

Vydání

JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, AMSTERDAM, ELSEVIER SCIENCE BV, 2020, 1052-3057

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30103 Neurosciences

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 2.136

Kód RIV

RIV/00216224:14110/20:00116319

Organizační jednotka

Lékařská fakulta

UT WoS

000560747000053

Klíčová slova anglicky

Stroke imaging; Early ischemic changes; ASPECTS; e-ASPECTS; CT perfusion; RAPID

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 2. 9. 2020 14:15, Mgr. Tereza Miškechová

Anotace

V originále

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.