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Cited by in CrossRef
For: Lei YP, Song QZ, Liu S, Xie JY, Lv GQ. Predicting lymph node metastasis in colorectal cancer: An analysis of influencing factors to develop a risk model. World J Gastrointest Surg 2023; 15(10): 2234-2246 [PMID: 37969707 DOI: 10.4240/wjgs.v15.i10.2234]
URL: https://www.wjgnet.com/1948-9366/full/v15/i10/2234.htm
Number Citing Articles
1
Jinyong Lin, Yuduo Wu, Zhizhong Lin, Xueliang Lin, Qiong Wu, JiaJia Lin, Yuanji Xu, Shangyuan Feng, Junxin Wu. Mid-level data fusion strategy based on urinary nucleosides SERS spectra and blood CEA levels for enhanced preoperative detection of lymph node metastasis in colorectal cancerAnalytica Chimica Acta 2024; 1332: 343360 doi: 10.1016/j.aca.2024.343360
2
Priyadarshana Ajithkumar, Sai Shyam Vasantharajan, Sharon Pattison, John L. McCall, Euan J. Rodger, Aniruddha Chatterjee. Exploring Potential Epigenetic Biomarkers for Colorectal Cancer MetastasisInternational Journal of Molecular Sciences 2024; 25(2): 874 doi: 10.3390/ijms25020874
3
Akash Inamdar, Raju K Shinde. The Diagnostic Impact of Contrast-Enhanced Computed Tomography (CECT) in Evaluating Lymph Node Involvement in Colorectal Cancer: A Comprehensive ReviewCureus 2024;  doi: 10.7759/cureus.61832
4
Elahe Abbaspour, Bahar Mansoori, Sahand Karimzadhagh, Majid Chalian, Alireza Pouramini, Fateme Sheida, Mahyar Daskareh, Sara Haseli. Machine learning and deep learning models for preoperative detection of lymph node metastasis in colorectal cancer: a systematic review and meta-analysisAbdominal Radiology 2024;  doi: 10.1007/s00261-024-04668-z