A multicenter validation and calibration of automated software package for detecting anterior circulation large vessel occlusion on CT angiography.

ABSTRACT:

Purpose

To validate JLK-LVO, a software detecting large vessel occlusion (LVO) on computed tomography angiography (CTA), within a multicenter dataset.

Methods

From 2021 to 2023, we enrolled patients with ischemic stroke who underwent CTA within 24-hour of onset at six university hospitals for validation and calibration datasets and at another university hospital for an independent dataset for testing model calibration. The diagnostic performance was evaluated using area under the curve (AUC), sensitivity, and specificity across the entire study population and specifically in patients with isolated middle cerebral artery (MCA)-M2 occlusion. We calibrated LVO probabilities using logistic regression and by grouping LVO probabilities based on observed frequency.

Results

A

SUBMITTER: Yum KS 

PROVIDER: S-EPMC11892136 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature