World Journal of Gastroenterology - Baishideng Publishing Group

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For:	Zhang YC, Li M, Jin YM, Xu JX, Huang CC, Song B. Radiomics for differentiating tumor deposits from lymph node metastasis in rectal cancer. World J Gastroenterol 2022; 28(29): 3960-3970 [PMID: 36157536 DOI: 10.3748/wjg.v28.i29.3960]
URL:	https://www.wjgnet.com/1007-9327/full/v28/i29/3960.htm

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Number	Citing Articles
1	Özge Vural Topuz, Ayşegül Aksu, Müveddet Banu Yılmaz Özgüven. A different perspective on 18F-FDG PET radiomics in colorectal cancer patients: The relationship between intra & peritumoral analysis and pathological findings. Revista Española de Medicina Nuclear e Imagen Molecular (English Edition) 2023; 42(6) doi: 10.1016/j.remnie.2023.04.005
2	Fei-Wen Feng, Fei-Yu Jiang, Yuan-Qing Liu, Qi Sun, Rong Hong, Chun-Hong Hu, Su Hu. Radiomics analysis of dual-layer spectral-detector CT-derived iodine maps for predicting tumor deposits in colorectal cancer. European Radiology 2024; 35(1) doi: 10.1007/s00330-024-10918-x
3	Lifei Zhang, Yunna Ma, Jiantao Dong, Jianhui Cai. Utilizing tumor deposit count as a stratification criterion in revising TNM staging system for patients with colorectal cancer: a nomogram review study. Frontiers in Oncology 2025; 15 doi: 10.3389/fonc.2025.1605030
4	Ö. Vural Topuz, A. Aksu, M.B. Yılmaz Özgüven. Una perspectiva diferente sobre la radiómica con 18F-FDG-PET en pacientes con cáncer colorrectal; la relación entre el análisis intra y peritumoral y los hallazgos patológicos. Revista Española de Medicina Nuclear e Imagen Molecular 2023; 42(6) doi: 10.1016/j.remn.2023.04.002
5	Xinmiao Yang, Hongfeng Niu, Ziqing Yang, Jingjing Ren, Xinrong Wang, Kan Deng, Qingxia Wu, Xiaohong Kang, Junqiang Zhao, Changhua Liang. Intratumoral and peritumoral CT radiomics combined with clinical and hematologic inflammatory markers for predicting lymph node metastasis in esophageal squamous cell carcinoma: a retrospective single-center study. La radiologia medica 2026; doi: 10.1007/s11547-026-02253-6
6	Hui Qu, Huan Zhai, Shuairan Zhang, Wenjuan Chen, Hongshan Zhong, Xiaoyu Cui. Dynamic radiomics for predicting the efficacy of antiangiogenic therapy in colorectal liver metastases. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.992096
7	Elahe Abbaspour, Sahand Karimzadhagh, Abbas Monsef, Farahnaz Joukar, Fariborz Mansour-Ghanaei, Soheil Hassanipour. Application of radiomics for preoperative prediction of lymph node metastasis in colorectal cancer: a systematic review and meta-analysis. International Journal of Surgery 2024; 110(6) doi: 10.1097/JS9.0000000000001239
8	Pak Kin Wong, In Neng Chan, Hao-Ming Yan, Shan Gao, Chi Hong Wong, Tao Yan, Liang Yao, Ying Hu, Zhong-Ren Wang, Hon Ho Yu. Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview. World Journal of Gastroenterology 2022; 28(45): 6363-6379 doi: 10.3748/wjg.v28.i45.6363 Abstract(1187) \| Core Tip(1228) \| Full Article(HTML)(8799) \| Full Article (PDF)-1317K(615) \| Full Article (Word)-745K(121) \| Audio-385K(20) \| Peer-Review Report-233K(198) \| Answering Reviewers-363K(186) \| Times Cited (26) \| Total Visits (11042) \| Open
9	Ying Zhu, Yaru Wei, Zhongwei Chen, Xiang Li, Shiwei Zhang, Caiyun Wen, Guoquan Cao, Jiejie Zhou, Meihao Wang. Different radiomics annotation methods comparison in rectal cancer characterisation and prognosis prediction: a two-centre study. Insights into Imaging 2024; 15(1) doi: 10.1186/s13244-024-01795-5
10	Joao Miranda, Natally Horvat, Jose A. B. Araujo-Filho, Kamila S. Albuquerque, Charlotte Charbel, Bruno M. C. Trindade, Daniel L. Cardoso, Lucas de Padua Gomes de Farias, Jayasree Chakraborty, Cesar Higa Nomura. The Role of Radiomics in Rectal Cancer. Journal of Gastrointestinal Cancer 2023; 54(4) doi: 10.1007/s12029-022-00909-w
11	Changjiang Zhang, Xiaojuan Deng, Zehong Cao, Feng Shi, Yi Yang, Yutong Chen, Huan Zhao, Xiaojing He, Xinjie Liu, Yindeng Luo. MRI-derived radiomics for risk stratification of tumor deposits in rectal cancer: a dual-center study. Insights into Imaging 2026; 17(1) doi: 10.1186/s13244-025-02204-1
12	Yanic Ammann, Dimitrios Chatziisaak, Stephan Bischofberger, Thomas Steffen. Artificial intelligence in visceral surgery: A comprehensive narrative review and future outlook. Heliyon 2026; 12(13) doi: 10.1016/j.heliyon.2026.e45165
13	Caterina Battaglia, Maria Luisa Gambardella, Domenico Morano, Salvatore Cannavò, Ludovico Abenavoli, Domenico Laganà, Pier Paolo Arcuri. Impact of Radiomic and Artificial Intelligence on Colorectal Cancer: A Narrative Review. Applied Sciences 2025; 15(24) doi: 10.3390/app152413174
14	Yong-Hai Li, Rui Du, Yuan-Cheng Liu, Zi-Qi Tang, Zhi-Gang Sun, Gui-Xiang Qian, Xue-Di Lei. Deep learning radiomics nomogram based on multi-regional features for predicting lymph node metastasis and prognosis in colorectal cancer. World Journal of Gastrointestinal Oncology 2026; 18(4): 115635 doi: 10.4251/wjgo.v18.i4.115635 Abstract(141) \| Core Tip(95) \| Full Article(HTML)(251) \| Full Article (PDF)-6013K(46) \| Full Article with Cover (PDF)-6243K(28) \| Full Article (XML)-142K(23) \| Audio-149K(30) \| Peer-Review Report-329K(22) \| Answering Reviewers-1765K(21) \| Times Cited (0) \| Total Visits (529) \| Open
15	Yumei Jin, Yewu Wang, Yonghua Zhu, Wenzhi Li, Fengqiong Tang, Shengmei Liu, Bin Song. A nomogram for preoperative differentiation of tumor deposits from lymph node metastasis in rectal cancer: A retrospective study. Medicine 2023; 102(41) doi: 10.1097/MD.0000000000034865
16	Xuewu Liu, Feng Lin, Danni Li, Nan Lei. The accuracy of radiomics in diagnosing tumor deposits and perineural invasion in rectal cancer: a systematic review and meta-analysis. Frontiers in Oncology 2025; 14 doi: 10.3389/fonc.2024.1425665
17	Arif Guseynov, T. Guseynov. MODERN ASPECTS OF DIAGNOSTICS RECTAL CANCER (literature review). Clinical Medicine and Pharmacology 2025; 11(1) doi: 10.12737/2409-3750-2025-11-1-2-13
18	Weili Ma, Bo Chen, Fandong Zhu, Chen Yang, Jianfeng Yang. Diagnostic role of F-18 FDG PET/CT in determining preoperative Lymph node status of patients with rectal cancer: a meta-analysis. Abdominal Radiology 2024; 49(6) doi: 10.1007/s00261-023-04140-4
19	Jihan Wang, Shengxian Bao, Tongtong Huang, Yongzhi Cai, Binbin Jin, Ji Wu. Fusion model combining ultrasound-based radiomics and deep transfer learning with clinical parameters for preoperative prediction of pelvic lymph node metastasis in cervical cancer. Frontiers in Oncology 2025; 15 doi: 10.3389/fonc.2025.1681029
20	Zhe-Xuan Li, Mei Du, Jun Bao, Ke-Xin Lou, Xiao-Dong Xie, Mei-Qin Wang, Zheng Kang, Liu Yang, Yong-Xia Ye. Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer. World Journal of Gastrointestinal Oncology 2024; 16(5): 1849-1860 doi: 10.4251/wjgo.v16.i5.1849 Abstract(598) \| Core Tip(607) \| Full Article(HTML)(1814) \| Full Article (PDF)-3590K(180) \| Full Article with Cover (PDF)-3913K(178) \| Full Article (XML)-119K(134) \| Audio-184K(7) \| Peer-Review Report-331K(135) \| Answering Reviewers-202K(131) \| Supplementary Material-529K(126) \| Times Cited (7) \| Total Visits (3114) \| Open
21	Hai-Yang Dai, Ding-Hua Xu, Jia-Ying Zhang, Jing-Fang Li, Zhao-Ming Liang, Yi-Fan Lai. Spectral computed tomography parameters of primary tumors and lymph nodes for predicting tumor deposits in colorectal cancer. World Journal of Radiology 2025; 17(4): 103359 doi: 10.4329/wjr.v17.i4.103359 Abstract(441) \| Core Tip(398) \| Full Article(HTML)(1462) \| Full Article (PDF)-2546K(123) \| Full Article with Cover (PDF)-2779K(158) \| Full Article (XML)-111K(93) \| Audio-238K(27) \| Peer-Review Report-224K(94) \| Answering Reviewers-46K(110) \| Times Cited (1) \| Total Visits (2504) \| Open
22	Dawei Wang, Xiao He, Chunming Huang, Wenqiang Li, Haosen Li, Cicheng Huang, Chuanyu Hu. Magnetic resonance imaging-based radiomics and deep learning models for predicting lymph node metastasis of squamous cell carcinoma of the tongue. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2024; 138(1) doi: 10.1016/j.oooo.2024.01.016
23	Arif Guseynov, T. Guseynov. SURGICAL TREATMENT OF RECTAL CANCER: CURRENT STATE AND PROSPECTS (literature review). Clinical Medicine and Pharmacology 2025; 11(2) doi: 10.12737/2409-3750-2025-11-2-2-17
24	Min Shi, Fu-Xiang Zhu, Qi Wang. Clinical and pathological features of advanced rectal cancer with submesenteric root lymph node metastasis: Meta-analysis. World Journal of Gastrointestinal Oncology 2024; 16(7): 3299-3307 doi: 10.4251/wjgo.v16.i7.3299 Abstract(579) \| Core Tip(570) \| Full Article(HTML)(1538) \| Full Article (PDF)-2972K(178) \| Full Article with Cover (PDF)-3259K(228) \| Full Article (XML)-93K(123) \| Audio-902K(43) \| Peer-Review Report-176K(148) \| Answering Reviewers-71K(117) \| Times Cited (4) \| Total Visits (2496) \| Open
25	Binbin Han, Fuliang Zhang, Zhenyun Chang, Fang Feng. Optimising Deep Neural Networks for Tumour Diagnosis Algorithms Based on Improved MRFO Algorithm. EAI Endorsed Transactions on Pervasive Health and Technology 2024; 10 doi: 10.4108/eetpht.10.5147