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Cited by in CrossRef
For: Xu YH, Lu P, Gao MC, Wang R, Li YY, Song JX. Progress of magnetic resonance imaging radiomics in preoperative lymph node diagnosis of esophageal cancer. World J Radiol 2023; 15(7): 216-225 [PMID: 37545645 DOI: 10.4329/wjr.v15.i7.216]
URL: https://www.wjgnet.com/1949-8470/full/v15/i7/216.htm
Number Citing Articles
1
Dong Ma, Teli Zhou, Jing Chen, Jun Chen. Radiomics diagnostic performance for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysisBMC Medical Imaging 2024; 24(1) doi: 10.1186/s12880-024-01278-5
2
Giovanni Maria Garbarino, Michela Polici, Damiano Caruso, Andrea Laghi, Paolo Mercantini, Emanuela Pilozzi, Mark I. van Berge Henegouwen, Suzanne S. Gisbertz, Nicole C. T. van Grieken, Eva Berardi, Gianluca Costa. Radiomics in Oesogastric Cancer: Staging and Prediction of Preoperative Treatment Response: A Narrative Review and the Results of Personal ExperienceCancers 2024; 16(15): 2664 doi: 10.3390/cancers16152664
3
Yan-Han Xu, Peng Lu, Ming-Cheng Gao, Rui Wang, Yang-Yang Li, Rong-Qi Guo, Wei-Song Zhang, Jian-Xiang Song. Nomogram based on multimodal magnetic resonance combined with B7-H3mRNA for preoperative lymph node prediction in esophagus cancerWorld Journal of Clinical Oncology 2024; 15(3): 419-433 doi: 10.5306/wjco.v15.i3.419