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Dataset Information

Estimating 3-D whole-body composition from a chest CT scan.


ABSTRACT:

Background

Estimating whole-body composition from limited region-computed tomography (CT) scans has many potential applications in clinical medicine; however, it is challenging.

Purpose

To investigate if whole-body composition based on several tissue types (visceral adipose tissue [VAT], subcutaneous adipose tissue [SAT], intermuscular adipose tissue [IMAT], skeletal muscle [SM], and bone) can be reliably estimated from a chest CT scan only.

Methods

A cohort of 97 lung cancer subjects who underwent both chest CT scans and whole-body positron emission tomography-CT scans at our institution were collected. We used our in-house software to automatically segment and quantify VAT, SAT, IMAT, SM, and bone on the CT images. The field-of-views of the chest CT scans and the wh

SUBMITTER: Pu L 

PROVIDER: S-EPMC10084085 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature