Automated chest CT three-dimensional quantification of body composition: adipose tissue and paravertebral muscle

Automated chest CT three-dimensional quantification of body composition: adipose tissue and paravertebral muscle

Abstract This retrospective study developed an automated algorithm for 3D segmentation of adipose tissue and paravertebral muscle on chest CT using artificial intelligence (AI) and assessed its feasibility. The study included patients from the Boston Lung Cancer Study (2000–2011). For adipose tissue...

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Bibliographic Details
Main Authors: Akinori Hata, Yohei Muraguchi, Minoru Nakatsugawa, Xinan Wang, Jiyeon Song, Noriaki Wada, Takuya Hino, Kota Aoyagi, Masami Kawagishi, Takuo Negishi, Vladimir I. Valtchinov, Mizuki Nishino, Akihiro Koga, Naoki Sugihara, Masahiro Ozaki, Gary M. Hunninghake, Noriyuki Tomiyama, Mark L. Schiebler, Yi Li, David C. Christiani, Hiroto Hatabu
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Thorax
Adipose tissue
Sarcopenia
Tomography
X-ray computed
Artificial intelligence
Online Access:https://doi.org/10.1038/s41598-024-83897-0
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