CT analysis of thoracolumbar body composition for estimating whole-body composition.

ABSTRACT:

Background

To evaluate the correlation between single- and multi-slice cross-sectional thoracolumbar and whole-body compositions.

Methods

We retrospectively included patients who underwent whole-body PET-CT scans from January 2016 to December 2019 at multiple institutions. A priori-developed, deep learning-based commercially available 3D U-Net segmentation provided whole-body 3D reference volumes and 2D areas of muscle, visceral fat, and subcutaneous fat at the upper, middle, and lower endplate of the individual T1-L5 vertebrae. In the derivation set, we analyzed the Pearson correlation coefficients of single-slice and multi-slice averaged 2D areas (waist and T12-L1) with the reference values. We then built prediction models using the top three correlated levels and tested t

SUBMITTER: Hong JH 

PROVIDER: S-EPMC10126176 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature