Three‐dimensional body composition parameters using automatic volumetric segmentation allow accurate prediction of colorectal cancer outcomes

Three‐dimensional body composition parameters using automatic volumetric segmentation allow accurate prediction of colorectal cancer outcomes

Abstract Background Parameters obtained from two‐dimensional (2D) cross‐sectional images have been used to determine body composition. However, data from three‐dimensional (3D) volumetric body images reflect real body composition more accurately and may be better predictors of patient outcomes in ca...

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Bibliographic Details
Main Authors: Aiya Bimurzayeva, Min Jung Kim, Jong‐Sung Ahn, Ga Yoon Ku, Dokyoon Moon, Jinsun Choi, Hyo Jun Kim, Han‐Ki Lim, Rumi Shin, Ji Won Park, Seung‐Bum Ryoo, Kyu Joo Park, Han‐Jae Chung, Jong‐Min Kim, Sang Joon Park, Seung‐Yong Jeong
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Journal of Cachexia, Sarcopenia and Muscle
Subjects:
body composition
colorectal cancer
complication
segmentation
survival
Online Access:https://doi.org/10.1002/jcsm.13404

Internet

https://doi.org/10.1002/jcsm.13404

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