For: | Liu YL, Zhu HB, Chen ML, Sun W, Li XT, Sun YS. Prediction of the lymphatic, microvascular, and perineural invasion of pancreatic neuroendocrine tumors using preoperative magnetic resonance imaging. World J Gastrointest Surg 2023; 15(12): 2809-2819 [PMID: 38222000 DOI: 10.4240/wjgs.v15.i12.2809] |
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URL: | https://www.wjgnet.com/1007-9327/full/v15/i12/2809.htm |
Number | Citing Articles |
1 |
Shuangyang Mo, Cheng Huang, Yingwei Wang, Shanyu Qin. Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors. BMC Medical Imaging 2025; 25(1) doi: 10.1186/s12880-025-01555-x
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2 |
Kai Tai Derek Yeung, Sacheen Kumar, David Cunningham, Long R. Jiao, Ricky Harminder Bhogal. Surgical Outcomes Following Neoadjuvant Treatment for Locally Advanced and Borderline Resectable Pancreatic Ductal Adenocarcinoma. Annals of Surgery Open 2024; 5(3): e486 doi: 10.1097/AS9.0000000000000486
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3 |
Shuangyang Mo, Yan Zhang, Ning Liu, Rili Jiang, Nan Yi, Yingwei Wang, Huaying Zhao, Shanyu Qin, Huaiyang Cai. Interpretable deep learning model and nomogram for predicting pathological grading of PNETs based on endoscopic ultrasound. BMC Medical Informatics and Decision Making 2025; 25(1) doi: 10.1186/s12911-025-03193-3
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4 |
Tairan Guo, Bing Cheng, Yunlong Li, Yaqing Li, Shaojie Chen, Guoda Lian, Jiajia Li, Ming Gao, Kaihong Huang, Yuzhou Huang. A radiomics model for predicting perineural invasion in stage II-III colon cancer based on computer tomography. BMC Cancer 2024; 24(1) doi: 10.1186/s12885-024-12951-x
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