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Cited by in CrossRef
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]
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 LearningJournal of Imaging Informatics in Medicine 2024;  doi: 10.1007/s10278-024-01172-0
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 CancerJournal of Computer Assisted Tomography 2024;  doi: 10.1097/RCT.0000000000001600