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May 15, 2022 (publication date) through Mar 2, 2025
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Publication Name
World Journal of Gastrointestinal Oncology
ISSN
1948-5204
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Sun XF, Zhu HT, Ji WY, Zhang XY, Li XT, Tang L, Sun YS. Preoperative prediction of malignant potential of 2-5 cm gastric gastrointestinal stromal tumors by computerized tomography-based radiomics. World J Gastrointest Oncol 2022; 14(5): 1014-1026 [PMID: 35646280 DOI: 10.4251/wjgo.v14.i5.1014] |
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| URL: | https://www.wjgnet.com/1948-5204/full/v14/i5/1014.htm |
| Number | Citing Articles |
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Xianqun Ji, Yu Shang, Lin Tan, Yan Hu, Junjie Liu, Lina Song, Junyan Zhang, Jingxian Wang, Yingjian Ye, Haidong Zhang, Tianfang Peng, Peng An. Prediction of High-Risk Gastrointestinal Stromal Tumor Recurrence Based on Delta-CT Radiomics Modeling: A 3-Year Follow-up Study After Surgery. Clinical Medicine Insights: Oncology 2024; 18 doi: 10.1177/11795549241245698
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Xiaoxuan Jia, Youping Xiao, Hui Zhang, Jiazheng Li, Shiying Lv, Yinli Zhang, Fan Chai, Caizhen Feng, Yulu Liu, Haoquan Chen, Feiyu Ma, Shengcai Wei, Jin Cheng, Sen Zhang, Zhidong Gao, Nan Hong, Lei Tang, Yi Wang. CT assessed morphological features can predict higher mitotic index in gastric gastrointestinal stromal tumors. European Radiology 2024; doi: 10.1007/s00330-024-11087-7
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Guoxian Chen, Lifang Fan, Jie Liu, Shujian Wu. Machine learning-based predictive model for the differential diagnosis of ≤ 5 cm gastric stromal tumor and gastric schwannoma based on CT images. Discover Oncology 2023; 14(1) doi: 10.1007/s12672-023-00801-4
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Ping Yang, Jiamei Wu, Mengqi Liu, Yineng Zheng, Xiaofang Zhao, Yun Mao. Preoperative CT‐based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors. Medical Physics 2024; 51(10): 7257 doi: 10.1002/mp.17276
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Zide Liu, Jiaxin Gao, Chunyan Zeng, Youxiang Chen. Development and validation of a preoperative risk nomogram prediction model for gastric gastrointestinal stromal tumors. Surgical Endoscopy 2024; 38(4): 1933 doi: 10.1007/s00464-024-10674-5
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Shi-Qi Liang, Yu-Tong Cui, Guang-Bing Hu, Hai-Yang Guo, Xin-Rui Chen, Ji Zuo, Zhi-Rui Qi, Xian-Fei Wang. Development and validation of a machine-learning model for preoperative risk of gastric gastrointestinal stromal tumors. Journal of Gastrointestinal Surgery 2025; 29(1): 101864 doi: 10.1016/j.gassur.2024.10.019
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Chengyu Sun, Enguo Fan, Luqiao Huang, Zhengguo Zhang. Performance of radiomics in preoperative determination of malignant potential and Ki-67 expression levels in gastrointestinal stromal tumors: a systematic review and meta-analysis. Acta Radiologica 2024; 65(11): 1307 doi: 10.1177/02841851241285958
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Zhenguo Qiao, Zhi Zhang, Junjie Chen, Ping Yin, Xin Ling, Weihai Chen, Lingxia Yang, Paolo Aurello. Influence of lymph node removal on the prognosis of high malignancy potential gastric gastrointestinal stromal tumors: Insights from population-based study. PLOS ONE 2024; 19(12): e0314504 doi: 10.1371/journal.pone.0314504
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