| For: | Ge HT, Chen JW, Wang LL, Zou TX, Zheng B, Liu YF, Xue YJ, Lin WW. Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning. World J Gastroenterol 2024; 30(6): 542-555 [PMID: 38463023 DOI: 10.3748/wjg.v30.i6.542] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v30/i6/542.htm |
| Number | Citing Articles |
| 1 |
Shidi Miao, Hexiang Dong, Jinyang Feng, Yuyang Jiang, Mengzhuo Sun, Zengyao Liu, Qiujun Wang, Xuemei Ding, Ruitao Wang. GAST-NET: A multi-modal and multi-task deep learning framework for preoperative prediction of perineural invasion and prognostic risk in gastric cancer. International Journal of Medical Informatics 2026; 212 doi: 10.1016/j.ijmedinf.2026.106348
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| 2 |
Wei-Na Jing, Xiao-Cun Xing, Fei-Fan Chen, Jin-Lin Yang, Kai Liao, Kai Deng. Imaging characteristics and discrimination model development for early gastric cancer using multi-spectral CT. Surgical Endoscopy 2026; 40(7) doi: 10.1007/s00464-026-12702-y
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| 3 |
Yijie Wang, Jianyao Lu, Yaomin Li, Yaying Yang, Yijun Yu, Zhengyun Sun, Yan Bi, Yuechao Guo, Qiong Zhou, Wenfen Shi, Yamin Li. The value of extracellular volume based on spectral CT in lymph node metastasis, perineural invasion, and lymphovascular invasion of colon cancer. Abdominal Radiology 2026; doi: 10.1007/s00261-026-05572-4
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| 4 |
Zhenwen Hao, Zhiming Wang, Jinfeng Ma, Yifan Li, Wenbin Zhang. Harnessing the machine learning and nomogram models: elevating prognostication in nonmetastatic gastric cancer with “double invasion” for personalized patient care. European Journal of Medical Research 2025; 30(1) doi: 10.1186/s40001-025-02761-7
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| 5 |
Manoj Kumar Gupta, G.L.N. Prasad, Ramakrishna Vadde. Artificial Intelligence in Gastrointestinal Cancers. 2026; doi: 10.1016/B978-0-443-44121-9.00005-6
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| 6 |
Ganji Purnachandra Nagaraju, Tatekalva Sandhya, Mundla Srilatha, Swapna Priya Ganji, Madhu Sudhana Saddala, Bassel F. El-Rayes. Artificial intelligence in gastrointestinal cancers: Diagnostic, prognostic, and surgical strategies. Cancer Letters 2025; 612 doi: 10.1016/j.canlet.2025.217461
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| 7 |
Haiyu Wang, Yumin Ding, Min Zhuang, Kaixu Li, Shujing Zhao, Dehong Li. Application and progress of nomograms in gastric cancer. Frontiers in Medicine 2025; 12 doi: 10.3389/fmed.2025.1510742
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| 8 |
Ping'an Ding, Jiaxuan Yang, Sheng Chen, Honghai Guo, Jiaxiang Wu, Haotian Wu, Li Yang, Wenqian Ma, Yuan Tian, Renjun Gu, Lilong Zhang, Ning Meng, Xiaolong Li, Zhenjiang Guo, Yueping Liu, Lingjiao Meng, Qun Zhao. Interpretable Multimodal Fusion Model Enhances Postoperative Recurrence Prediction in Gastric Cancer. Advanced Science 2025; 12(43) doi: 10.1002/advs.202508190
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| 9 |
Mobina Khosravi, Seyedeh Kimia Jasemi, Parsa Hayati, Hamid Akbari Javar, Saadat Izadi, Zhila Izadi. Transformative artificial intelligence in gastric cancer: Advancements in diagnostic techniques. Computers in Biology and Medicine 2024; 183 doi: 10.1016/j.compbiomed.2024.109261
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| 10 |
Tianxia Bei, Xiaoqiang Yao, Xuejun Chen, Yue Wu, Jing Li, Jinrong Qu. Comparison of 2D and 3D measured iodine concentration of gastric adenocarcinoma on spectral-CT and their relationship with perineural invasion. BMC Medical Imaging 2025; 25(1) doi: 10.1186/s12880-025-02042-z
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| 11 |
Yao-Qian Yuan, Qian-Qian Chen. Review on article of preoperative prediction in chronic hepatitis B virus patients using spectral computed tomography and machine learning. World Journal of Gastroenterology 2024; 30(38): 4239-4241 doi: 10.3748/wjg.v30.i38.4239
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| 12 |
Chunqiao Wu. Development of a multimodal predictive model using PET/CT radiomics and clinical data for preoperative assessment of lymphovascular invasion in gastric cancer. American Journal of Translational Research 2025; 17(7) doi: 10.62347/PBNU9406
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| 13 |
Gang Ren, Xin-Yun Wang. Progress in multi-dimensional artificial intelligence applications in CT-based gastric cancer imaging. World Chinese Journal of Digestology 2025; 33(9) doi: 10.11569/wcjd.v33.i9.685
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| 14 |
Guangxu Zhu, Shengjie Zhou, Jianjun Qu, Xuguang Jiao, Yanpeng Gao, Xiaomeng Wang. Construction and validation of a risk prediction model for perineural invasion in early gastric cancer based on multivariate analysis. BMC Cancer 2026; 26(1) doi: 10.1186/s12885-026-15583-5
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| 15 |
Keyur D Shah, Jun Zhou, Justin Roper, Anees Dhabaan, Hania Al-Hallaq, Amir Pourmorteza, Xiaofeng Yang. Photon-counting CT in cancer radiotherapy: technological advances and clinical benefits. Physics in Medicine & Biology 2025; 70(10) doi: 10.1088/1361-6560/add4ba
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| 16 |
Hang Li, Xiaosong Li, Xiping Shen, Mingyan Dong. A visual exploration of the evolutionary trajectory in robotic surgery for gastrointestinal malignancies. Journal of Robotic Surgery 2026; 20(1) doi: 10.1007/s11701-025-03106-6
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| 17 |
Maharaja Muthuvairam Subbulakshmi, Manikandan Jayaraman, Jeyakanthan Jeyaraman. Artificial Intelligence in Gastrointestinal Cancers. 2026; doi: 10.1016/B978-0-443-44121-9.00011-1
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| 18 |
Qianzheng Zhou, Jun Xu, Qiong Li, Fengyuan Li, Hao Xu. A Radiomics–Clinical Nomogram for Pre-Treatment Prediction of Neoadjuvant Chemotherapy Response in Locally Advanced Gastric Cancer. Diagnostics 2026; 16(6) doi: 10.3390/diagnostics16060945
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| 19 |
Zhengqi Zhu, Anyi Song, Jian Shi, Aiyan Fu, Ru Zhang, Mengyue Zhang, Mimi Mao. Dual-energy computed tomography-derived extracellular volume fraction and spectral quantitative parameters for predicting early recurrence after gastrectomy: insights from a multicenter study. Abdominal Radiology 2026; doi: 10.1007/s00261-026-05645-4
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| 20 |
Lilan Fu, Fei Xie, Penghui Sun, Ye Dong, Kemin Zhou, Li Jiang, Ruihe Wu, Yanjiang Han, Hubing Wu, Ganghua Tang, Wenlan Zhou. First clinical investigation to predict lymphovascular and/or perineural invasion in gastric cancer using 18F-FAPI-42 PET/CT parameters. European Journal of Nuclear Medicine and Molecular Imaging 2025; 52(13) doi: 10.1007/s00259-025-07325-9
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| 21 |
冬冬 穆. The Value of Spectroscopic CT for Lymph Node Metastasis in Rectal Cancer. Journal of Clinical Personalized Medicine 2025; 4(01) doi: 10.12677/jcpm.2025.41074
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| 22 |
Lijia Bai, Yujie Bai, Yimin Guo, Miaoyan Zhu, Ming Wei, Hui Guo, Jianbo Gao, Ming Cheng. Preoperative prediction of lymphovascular and perineural invasion in locally advanced gastric cancer via CT habitat analysis and deep learning: A dual-center study. European Journal of Radiology 2026; 203 doi: 10.1016/j.ejrad.2026.113041
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| 23 |
Shuoyang Wei, Qizhen Zhu, Mengya Guo, Jiaqi Dai, Xiaonan Liu, Wenbo Li, Ke Hu, Fuquan Zhang, Bo Yang, Jie Qiu. Spectral CT in radiotherapy: physics, principles, clinical applications, and future outlooks. Physica Medica 2026; 148 doi: 10.1016/j.ejmp.2026.105876
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| 24 |
Jiawei Liu, Luyong Wei, Jiadan Luo, Jinhui Yu, Tingting Wen, Weiwei Deng, Shi-Ting Feng, Mingjie Chen, Siya Shi, Yanji Luo. Preoperative prediction of perineural invasion in pancreatic ductal adenocarcinoma using dual-layer spectral CT. Abdominal Radiology 2026; doi: 10.1007/s00261-026-05529-7
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| 25 |
Yuncong Zhao, Lihong Chen, Lili Wang, Wenjing Yue, Deye Zeng, Yaru You, Caiming Weng, Weixing Li, Yilin Chen, Lin Lin, Haiping Xu, Yunjing Xue. An interpretable multimodal model integrating clinical, spectral CT imaging, and deep learning analysis of intra- and peritumoral regions for preoperative prediction of perineural invasion in gastric cancer: A prospective, multicenter study. Computerized Medical Imaging and Graphics 2026; 132 doi: 10.1016/j.compmedimag.2026.102776
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| 26 |
Liwei Wang, Yu Chang, Jinfeng Ma, Wenqing Qu, Yifan Li. Identifying high-risk candidates for prolonging progression-free survival in primary gastric carcinoma subject to “double invasion”: an analytical approach utilizing lasso-cox regression. BMC Cancer 2025; 25(1) doi: 10.1186/s12885-025-13810-z
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| 27 |
Ying-Qiao Zhang, Juan Zhang, Yu-Yao Jin, Dan Li, Wen-Juan Zhao, Peng-Yu Guo, Zhen-Nan Tian, Yang Jiang, Min Zhao, Si-Yun Liu, Zi-Qi Wang, Xin-Yu Zhu, Zhen-Qi Ma, Lin Sui, Yan-Meng Liang, Geng Han, Zhao-Xiang Ye, Xiu-Shi Zhang, Yang Liu. Development and validation of an interpretable CT-based scoring model for gastric cancer aggressiveness. Abdominal Radiology 2026; doi: 10.1007/s00261-026-05458-5
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| 28 |
Roberto García-Figueiras, Laura Oleaga, Jordi Broncano, Gonzalo Tardáguila, Gabriel Fernández-Pérez, Eliseo Vañó, Eloísa Santos-Armentia, Ramiro Méndez, Antonio Luna, Sandra Baleato-González. What to Expect (and What Not) from Dual-Energy CT Imaging Now and in the Future?. Journal of Imaging 2024; 10(7) doi: 10.3390/jimaging10070154
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