Accuracy of automated intracerebral hemorrhage volume measurement on non-contrast computed tomography: a Swedish Stroke Register cohort study.

ABSTRACT:

Purpose

Hematoma volume is the strongest predictor of patient outcome after intracerebral hemorrhage (ICH). The aim of this study was to validate novel fully automated software for quantification of ICH volume on non-contrast computed tomography (CT).

Methods

The population was defined from the Swedish Stroke Register (RS) and included all patients with an ICH diagnosis during 2016-2019 in Region Skåne. Hemorrhage volume on their initial head CT was measured using ABC/2 and manual segmentation (Sectra IDS7 volume measurement tool) and the automated volume quantification tool (qER-NCCT) by Qure.ai. The first 500 were examined by two independent readers.

Results

A total of 1649 ICH patients were included. The qER-NCCT had 97% sensitivity in identifying ICH. In total, th

SUBMITTER: Hillal A 

PROVIDER: S-EPMC9905189 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature