Clot-based radiomics features predict first pass effect in acute ischemic stroke.

Autor:	Sarioglu O; Department of Radiology, Izmir Democracy University, Izmir, Turkey., Sarioglu FC; Department of Radiology, Health Sciences University, Tepecik Educational and Research Hospital, Izmir, Turkey., Capar AE; Department of Radiology, Health Sciences University, Tepecik Educational and Research Hospital, Izmir, Turkey., Sokmez DF; Department of Neurology, Health Sciences University, Tepecik Educational and Research Hospital, Izmir, Turkey., Mete BD; Department of Radiology, Izmir Democracy University, Izmir, Turkey., Belet U; Department of Radiology, Health Sciences University, Tepecik Educational and Research Hospital, Izmir, Turkey.
Jazyk:	angličtina
Zdroj:	Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences [Interv Neuroradiol] 2022 Apr; Vol. 28 (2), pp. 160-168. Date of Electronic Publication: 2021 May 18.
DOI:	10.1177/15910199211019176
Abstrakt:	Purpose: Our aim was to evaluate the performance of clot-based radiomics features (RFs) for predicting first pass effect (FPE) in patients with acute ischemic stroke (AIS). The secondary purpose was to search for any other variables associated with FPE. Materials and Methods: Patients who underwent mechanical thrombectomy (MT) for anterior circulation large vessel stroke in a single center were retrospectively reviewed. Patients were divided into two groups: FPE and non-FPE. Two observers extracted RFs from the clot on pretreatment noncontrast computed tomography (NCCT) images. Demographic, clinical, periprocedural, and RFs were compared between the groups and receiver operating characteristic (ROC) curves were constructed. Logistic regression analysis was used to determine the independent predictors of FPE. Results: Fifty-two patients (27 female, 25 male; mean age 64.50 ± 15.15) who were treated by stent retrievers as the first option were included in the study. FPE was achieved in 25 patients (25/52, 48.1%). Twelve RFs were significantly different between patients with FPE and non-FPE. The long-run low gray-level emphasis (odds ratio = 44.24, p = 0.003) and the zone percentage (odds ratio = 16.88, p = 0.017) were found as independent predictors of FPE. Female sex and a baseline ASPECT score of >8.5 were the other independent variables to predict FPE. The diagnostic accuracy to predict FPE was observed as 83% when using all independent predictors in our predictive model. Conclusions: Clot-based RFs on NCCT may help to estimate the success of the intended outcome of MT in patients with AIS.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu