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

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Author(s)
Jung Hee HongHyunsook HongYe Ra ChoiDong Hyun KimJin Young KimJeong-Hwa YoonSoon Ho Yoon
Keimyung Author(s)
Kim, Jin Young
Department
Dept. of Radiology (영상의학)
Journal Title
Insights Imaging
Issued Date
2023
Volume
14
Issue
1
Keyword
Body compositionComputed tomographyMuscleSubcutaneous fatVisceral fat
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 the models in the validation set.

Results:
The derivation and validation datasets included 203 (mean age 58.2 years; 101 men) and 239 patients (mean age 57.8 years; 80 men). The coefficients were distributed bimodally, with the first peak at T4 (coefficient, 0.78) and the second peak at L2-3 (coefficient 0.90). The top three correlations in the abdominal scan range were found for multi-slice waist averaging (0.92) and single-slice L3 and L2 (0.90, each), while those in the chest scan range were multi-slice T12-L1 averaging (0.89), single-slice L1 (0.89), and T12 (0.86). The model performance at the top three levels for estimating whole-body composition was similar in the derivation and validation datasets.

Conclusions:
Single-slice L2-3 (abdominal CT range) and L1 (chest CT range) analysis best correlated with whole-body composition around 0.90 (coefficient). Multi-slice waist averaging provided a slightly higher correlation of 0.92.
Keimyung Author(s)(Kor)
김진영
Publisher
School of Medicine (의과대학)
Type
Article
ISSN
1869-4101
Source
https://insightsimaging.springeropen.com/articles/10.1186/s13244-023-01402-z
DOI
10.1186/s13244-023-01402-z
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/44980
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Radiology (영상의학)
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