2022
Multiphase CTA-derived tissue maps aid in detection of medium vessel occlusions
MCDONOUGH, R. V., W. QIU, J. M. OSPEL, B. K. MENON, Petra CIMFLOVÁ et. al.Základní údaje
Originální název
Multiphase CTA-derived tissue maps aid in detection of medium vessel occlusions
Autoři
MCDONOUGH, R. V., W. QIU, J. M. OSPEL, B. K. MENON, Petra CIMFLOVÁ (203 Česká republika, domácí) a M. GOYAL (garant)
Vydání
NEURORADIOLOGY, NEW YORK, SPRINGER, 2022, 0028-3940
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30224 Radiology, nuclear medicine and medical imaging
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.800
Kód RIV
RIV/00216224:14110/22:00125371
Organizační jednotka
Lékařská fakulta
UT WoS
000708810800003
Klíčová slova anglicky
Acute ischemic stroke; Endovascular treatment; Medium vessel occlusions; Multiphase computed tomography; Treatment selection
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 28. 4. 2022 11:05, Mgr. Tereza Miškechová
Anotace
V originále
Purpose Medium vessel occlusions (MeVOs) can be challenging to detect on imaging. Multiphase computed tomography angiography (mCTA) has been shown to improve large vessel occlusion (LVO) detection and endovascular treatment (EVT) selection. The aims of this study were to determine if mCTA-derived tissue maps can (1) accurately detect MeVOs and (2) predict infarction on 24-h follow-up imaging with comparable accuracy to CT perfusion (CTP). Methods Two readers assessed mCTA tissue maps of 116 ischemic stroke patients (58 MeVOs, 58 non-MeVOs) and determined by consensus: (1) MeVO (yes/no) and (2) occlusion site, blinded to clinical or imaging data. Sensitivity, specificity, and area under the curve (AUC) for MeVO detection were estimated in comparison to reference standards of (1) expert readings of baseline mCTA and (2) CTP maps. Volumetric and spatial agreement between mCTA- and CTP-predicted infarcts was assessed using concordance/intraclass correlation and Dice coefficients. Interrater agreement for MeVO detection on mCTA tissue maps was estimated with Cohen's kappa. Results MeVO detection from mCTA-derived tissue maps had a sensitivity of 91% (95% CI: 80-97), specificity of 82% (95% CI: 70-90), and AUC of 0.87 (95% CI: 0.80-0.93) compared to expert reads of baseline mCTA. Interrater reliability was good (0.72, 95% CI: 0.60-0.85). Compared to CTP maps, sensitivity was 87% (95% CI: 75-95), specificity was 78% (95%CI: 65-88), and AUC was 0.83 (95% CI: 0.76-0.90). The mean difference between mCTA- and CTP-predicted final infarct volume was 4.8 mL (limits of agreement: - 58.5 to 68.1) with a Dice coefficient of 33.5%. Conclusion mCTA tissue maps can be used to reliably detect MeVO stroke and predict tissue fate.