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

• Main Authors: Aiya Bimurzayeva (Author), Min Jung Kim (Author), Jong‐Sung Ahn (Author), Ga Yoon Ku (Author), Dokyoon Moon (Author), Jinsun Choi (Author), Hyo Jun Kim (Author), Han‐Ki Lim (Author), Rumi Shin (Author), Ji Won Park (Author), Seung‐Bum Ryoo (Author), Kyu Joo Park (Author), Han‐Jae Chung (Author), Jong‐Min Kim (Author), Sang Joon Park (Author), Seung‐Yong Jeong (Author)
• Format: Book
• Published: Wiley, 2024-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...