Automated acute ischemic stroke lesion delineation based on apparent diffusion coefficient thresholds.

ABSTRACT:

Purpose

Automated lesion segmentation is increasingly used in acute ischemic stroke magnetic resonance imaging (MRI). We explored in detail the performance of apparent diffusion coefficient (ADC) thresholding for delineating baseline diffusion-weighted imaging (DWI) lesions.

Methods

Retrospective, exploratory analysis of the prospective observational single-center 1000Plus study from September 2008 to June 2013 (clinicaltrials.org; NCT00715533). We built a fully automated lesion segmentation algorithm using a fixed ADC threshold (≤620 × 10-6 mm²/s) to delineate the baseline DWI lesion and analyzed its performance compared to manual assessments. Diagnostic capabilities of best possible ADC thresholds were investigated using receiver operating characteristic curves.

SUBMITTER: Gosch V 

PROVIDER: S-EPMC10415099 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature