For: | Li LM, Feng LY, Liu CC, Huang WP, Yu Y, Cheng PY, Gao JB. Can visceral fat parameters based on computed tomography be used to predict occult peritoneal metastasis in gastric cancer? World J Gastroenterol 2023; 29(15): 2310-2321 [PMID: 37124887 DOI: 10.3748/wjg.v29.i15.2310] |
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URL: | https://www.wjgnet.com/1007-9327/full/v29/i15/2310.htm |
Number | Citing Articles |
1 |
Wenli Wang, Rongrong Sheng, Shumei Liao, Zifeng Wu, Linjun Wang, Cunming Liu, Chun Yang, Riyue Jiang. LightGBM is an Effective Predictive Model for Postoperative Complications in Gastric Cancer: A Study Integrating Radiomics with Ensemble Learning. Journal of Imaging Informatics in Medicine 2024; 37(6): 3034 doi: 10.1007/s10278-024-01172-0
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2 |
Zhen-Ning Zhu, Qiu-Xia Feng, Qiong Li, Wei-Yue Xu, Xi-Sheng Liu. Utility of Combined Use of Imaging Features From Abdominopelvic CT and CA 125 to Identify Presence of CT Occult Peritoneal Metastases in Advanced Gastric Cancer. Journal of Computer Assisted Tomography 2024; 48(5): 734 doi: 10.1097/RCT.0000000000001600
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3 |
Haiyuan Zhao, Gang Liu, Yang Li, Feixiang Lu, Nianzhao Yang, Jun Zhao. Body fat ratio as a novel predictor of complications and survival after rectal cancer surgery. Frontiers in Nutrition 2024; 11 doi: 10.3389/fnut.2024.1398807
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