| For: | Liang ZY, Yu ML, Yang H, Li HJ, Xie H, Cui CY, Zhang WJ, Luo C, Cai PQ, Lin XF, Liu KF, Xiong L, Liu LZ, Chen BY. Beyond the tumor region: Peritumoral radiomics enhances prognostic accuracy in locally advanced rectal cancer. World J Gastroenterol 2025; 31(8): 99036 [PMID: 40062323 DOI: 10.3748/wjg.v31.i8.99036] |
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| URL: | https://www.wjgnet.com/1948-5182/full/v31/i8/99036.htm |
| Number | Citing Articles |
| 1 |
Tingting Gong, Longhai Jin, Jingsi Yang, Mengchao Zhang, Zhicheng Huang, Zili Li, Qinghai Yuan. Tumoral and Peritumoral Radiomics with MRI-Combined Clinical Models Predict T Stages of Early Rectal Cancer. Academic Radiology 2026; 33(4): 1397 doi: 10.1016/j.acra.2026.01.015
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| 2 |
Yongjie Zhou, Zhilong Zhang, Keyang Zhou, Yongming Tan, Jinhong Zhao, Linhua Zhong, Xiang Wei, Jianhua Zhu, Zihan Li, Jingjing Du, Lan Liu, Lei Fang. CT Habitat–peritumoral fusion radiomics predicts aggressiveness and prognosis in pheochromocytomas and paragangliomas to inform intensified surgical strategies: A multicenter study. European Journal of Surgical Oncology 2026; 52(6): 111851 doi: 10.1016/j.ejso.2026.111851
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| 3 |
Maxime Barat, Stylianos Tzedakis, Anna Pellat, Ugo Marchese, Anthony Dohan, Romain Coriat, Elliot K. Fishman, Linda Chu, Philippe Soyer. Predictive imaging in abdominal oncology: current trends and future directions. Japanese Journal of Radiology 2026; 44(3): 476 doi: 10.1007/s11604-025-01900-8
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| 4 |
Junyuan Zhong, Teng Huang, Rongjian Jiang, Qiangqiang Zhou, Gongfa Wu, Yuping Zeng. MRI-based habitat, intra-, and peritumoral machine learning model for perineural invasion prediction in rectal cancer. Abdominal Radiology 2025; 51(2): 545 doi: 10.1007/s00261-025-05095-4
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| 5 |
Xue-Di Lei, Gui-Xiang Qian, Zhi-Gang Sun, Zi-Qi Tang, Yuan-Cheng Liu, Rui Du, Yong-Hai Li. 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
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