CompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans.

ABSTRACT:

Background

Body composition scores allow for quantifying the volume and physical properties of specific tissues. However, their manual calculation is time-consuming and prone to human error. This study aims to develop and validate CompositIA, an automated, open-source pipeline for quantifying body composition scores from thoraco-abdominal computed tomography (CT) scans.

Methods

A retrospective dataset of 205 contrast-enhanced thoraco-abdominal CT examinations was used for training, while 54 scans from a publicly available dataset were used for independent testing. Two radiology residents performed manual segmentation, identifying the centers of the L1 and L3 vertebrae and segmenting the corresponding axial slices. MultiResUNet was used to identify CT slices intersecting the

SUBMITTER: Cabini RF 

PROVIDER: S-EPMC11780042 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature