Pediatric body composition based on automatic segmentation of computed tomography scans: a pilot study.

ABSTRACT:

Background

Body composition during childhood may predispose to negative health outcomes later in life. Automatic segmentation may assist in quantifying pediatric body composition in children.

Objective

To evaluate automatic segmentation for body composition on pediatric computed tomography (CT) scans and to provide normative data on muscle and fat areas throughout childhood using automatic segmentation.

Materials and methods

In this pilot study, 537 children (ages 1-17 years) who underwent abdominal CT after high-energy trauma at a Dutch tertiary center (2002-2019) were retrospectively identified. Of these, the CT images of 493 children (66% boys) were used to establish normative data. Muscle (psoas, paraspinal and abdominal wall) and fat (subcutaneous and visceral) a

SUBMITTER: Samim A 

PROVIDER: S-EPMC10635977 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature