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Cited by in CrossRef
For: Li M, Zhu YZ, Zhang YC, Yue YF, Yu HP, Song B. Radiomics of rectal cancer for predicting distant metastasis and overall survival. World J Gastroenterol 2020; 26(33): 5008-5021 [PMID: 32952346 DOI: 10.3748/wjg.v26.i33.5008]
URL: https://www.wjgnet.com/1007-9327/full/v26/i33/5008.htm
Number Citing Articles
1
Mou Li, Ling Yang, Yufeng Yue, Jingxu Xu, Chencui Huang, Bin Song. Use of Radiomics to Improve Diagnostic Performance of PI-RADS v2.1 in Prostate CancerFrontiers in Oncology 2021; 10 doi: 10.3389/fonc.2020.631831
2
Jacobo Porto-Álvarez, Gary T. Barnes, Alex Villanueva, Roberto García-Figueiras, Sandra Baleato-González, Emilio Huelga Zapico, Miguel Souto-Bayarri. Digital Medical X-ray Imaging, CAD in Lung Cancer and Radiomics in Colorectal Cancer: Past, Present and FutureApplied Sciences 2023; 13(4): 2218 doi: 10.3390/app13042218
3
Silin Chen, Yuan Tang, Ning Li, Jun Jiang, Liming Jiang, Bo Chen, Hui Fang, Shunan Qi, Jing Hao, Ningning Lu, Shulian Wang, Yongwen Song, Yueping Liu, Yexiong Li, Jing Jin. Development and Validation of an MRI-Based Nomogram Model for Predicting Disease-Free Survival in Locally Advanced Rectal Cancer Treated With Neoadjuvant RadiotherapyFrontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.784156
4
Yan Kong, Muchen Xu, Xianding Wei, Danqi Qian, Yuan Yin, Zhaohui Huang, Wenchao Gu, Leyuan Zhou. CT imaging-based radiomics signatures improve prognosis prediction in postoperative colorectal cancerJournal of X-Ray Science and Technology 2023; 31(6): 1281 doi: 10.3233/XST-230090
5
Hongyan Huang, Lujun Han, Jianbo Guo, Yanyu Zhang, Shiwei Lin, Shengli Chen, Xiaoshan Lin, Caixue Cheng, Zheng Guo, Yingwei Qiu. Pretreatment MRI–Based Radiomics for Prediction of Rectal Cancer Outcome: A Discovery and Validation StudyAcademic Radiology 2023;  doi: 10.1016/j.acra.2023.10.055
6
Zhou Chuanji, Wang Zheng, Lai Shaolv, Meng Linghou, Lu Yixin, Lu Xinhui, Lin Ling, Tang Yunjing, Zhang Shilai, Mo Shaozhou, Zhang Boyang. Comparative study of radiomics, tumor morphology, and clinicopathological factors in predicting overall survival of patients with rectal cancer before surgeryTranslational Oncology 2022; 18: 101352 doi: 10.1016/j.tranon.2022.101352
7
Yu-quan Wu, Rui-zhi Gao, Peng Lin, Rong Wen, Hai-yuan Li, Mei-yan Mou, Feng-huan Chen, Fen Huang, Wei-jie Zhou, Hong Yang, Yun He, Ji Wu. An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancerBMC Medical Imaging 2022; 22(1) doi: 10.1186/s12880-022-00813-6
8
Yong-Chao Sun, Zi-Dan Zhao, Na Yao, Yu-Wen Jiao, Jia-Wen Zhang, Yue Fu, Wei-Hai Shi. Risk prediction of second primary malignancies in patients after rectal cancer: analysis based on SEER ProgramBMC Gastroenterology 2023; 23(1) doi: 10.1186/s12876-023-02974-2
9
Rui Chen, Yan Fu, Xiaoping Yi, Qian Pei, Hongyan Zai, Bihong T. Chen, Xingrong Du. Application of Radiomics in Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: Strategies and ChallengesJournal of Oncology 2022; 2022: 1 doi: 10.1155/2022/1590620
10
Xiuzhen Yao, Xiandi Zhu, Shuitang Deng, Sizheng Zhu, Guoqun Mao, Jinwen Hu, Wenjie Xu, Sikai Wu, Weiqun Ao. MRI-based radiomics for preoperative prediction of recurrence and metastasis in rectal cancerAbdominal Radiology 2024; 49(4): 1306 doi: 10.1007/s00261-024-04205-y
11
Jie Dai, Ke-xin Wang, Ling-yu Wu, Xiao-han Bai, Hong-yuan Shi, Qing Xu, Jing Yu. Added value of DCER-features to clinicopathologic model for predicting metachronous metastases in rectal cancer patientsAbdominal Radiology 2024;  doi: 10.1007/s00261-023-04153-z
12
Yun Qin, Li-Hua Zhu, Wei Zhao, Jun-Jie Wang, Hao Wang. Review of Radiomics- and Dosiomics-based Predicting Models for Rectal CancerFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.913683
13
Giuditta Chiloiro, Luca Boldrini, Francesco Preziosi, Davide Cusumano, Poonam Yadav, Angela Romano, Lorenzo Placidi, Jacopo Lenkowicz, Nicola Dinapoli, Michael F. Bassetti, Maria Antonietta Gambacorta, Vincenzo Valentini. A Predictive Model of 2yDFS During MR-Guided RT Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer PatientsFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.831712
14
Iram Shahzadi, Alex Zwanenburg, Annika Lattermann, Annett Linge, Christian Baldus, Jan C. Peeken, Stephanie E. Combs, Markus Diefenhardt, Claus Rödel, Simon Kirste, Anca-Ligia Grosu, Michael Baumann, Mechthild Krause, Esther G. C. Troost, Steffen Löck. Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics modelsScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-13967-8
15
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 CancerJournal of Gastrointestinal Cancer 2023; 54(4): 1158 doi: 10.1007/s12029-022-00909-w
16
Yuan-Peng Zhang, Xin-Yun Zhang, Yu-Ting Cheng, Bing Li, Xin-Zhi Teng, Jiang Zhang, Saikit Lam, Ta Zhou, Zong-Rui Ma, Jia-Bao Sheng, Victor C. W. Tam, Shara W. Y. Lee, Hong Ge, Jing Cai. Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modelingMilitary Medical Research 2023; 10(1) doi: 10.1186/s40779-023-00458-8
17
Jie Cheng, Yao-Jia Lao, Qian Wang, Kai Huang, Juan-Li Mou, Jia-Hui Feng, Fan Hu, Meng-Lu Lin, Jun Lin. Predicting Distant Metastasis in Young-Onset Colorectal Cancer After Surgery: A Retrospective StudyFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.804038
18
Yuzhou Huang, Shurui Zhou, Yanji Luo, Jinmao Zou, Yaqing Li, Shaojie Chen, Ming Gao, Kaihong Huang, Guoda Lian. Development and validation of a radiomics model of magnetic resonance for predicting liver metastasis in resectable pancreatic ductal adenocarcinoma patientsRadiation Oncology 2023; 18(1) doi: 10.1186/s13014-023-02273-w