Reproducibility of semiautomated body composition segmentation of abdominal computed tomography: a multiobserver study.

ABSTRACT:

Background

Segmentation of computed tomography (CT) images provides quantitative data on body tissue composition, which may greatly impact the development and progression of diseases such as type 2 diabetes mellitus and cancer. We aimed to evaluate the inter- and intraobserver variation of semiautomated segmentation, to assess whether multiple observers may interchangeably perform this task.

Methods

Anonymised, unenhanced, single mid-abdominal CT images were acquired from 132 subjects from two previous studies. Semiautomated segmentation was performed using a proprietary software package. Abdominal muscle compartment (AMC), inter- and intramuscular adipose tissue (IMAT), visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were identified according to pre-esta

SUBMITTER: Kjonigsen LJ 

PROVIDER: S-EPMC6820626 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature