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...
Saved in:
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: | |
Online Access: | https://doi.org/10.1038/s41598-024-83897-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unlocking the Potential of Chest MRI: Strategies for Establishing a Successful Practice
by: Kyubin Kim, et al.
Published: (2025-01-01) -
Pediatric Surgery Vol 2/
Published: (1962) -
The macroanatomy of vertebral column and thorax skeleton in chinchillas
by: Vural ÖZDEMİR, et al. -
Pediatric Surgery vol 1 /
Published: (1962) -
Management and outcomes of thoracic sarcomas - a collaboration between Orthopaedic Oncology and cardiothoracic surgery: seven-year clinical data from a tertiary referral centre
by: Zaid Ahmed Shamsi, et al.
Published: (2025-01-01)