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Cited by in CrossRef
For: Ma YQ, Wen Y, Liang H, Zhong JG, Pang PP. Magnetic resonance imaging-radiomics evaluation of response to chemotherapy for synchronous liver metastasis of colorectal cancer. World J Gastroenterol 2021; 27(38): 6465-6475 [PMID: 34720535 DOI: 10.3748/wjg.v27.i38.6465]
URL: https://www.wjgnet.com/1007-9327/full/v27/i38/6465.htm
Number Citing Articles
1
Qi Pan, Kaixuan Li, Wan Zhang. Iron-Based Nanoparticles Applied to Evaluate MRI Diagnosis and Treatment of Liver Cancer Treated with ApatinibJournal of Biomedical Nanotechnology 2022; 18(8): 1922 doi: 10.1166/jbn.2022.3388
2
J.E. van Timmeren, J. Bussink, P. Koopmans, R.J. Smeenk, R. Monshouwer. Longitudinal Image Data for Outcome ModelingClinical Oncology 2024;  doi: 10.1016/j.clon.2024.06.053
3
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, Gerardo Ferrara, Fabiana Tatangelo, Alessandro Ottaiano, Antonio Avallone, Vittorio Miele, Nicola Normanno, Francesco Izzo, Antonella Petrillo. Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging AssessmentDiagnostics 2024; 14(2): 152 doi: 10.3390/diagnostics14020152
4
Ana Ruivo, Rui Caetano Oliveira, Pedro Silva-Vaz, José Guilherme Tralhão. Colorectal Cancer Liver Metastasis—State-of-the-Art and Future PerspectivesGastrointestinal Disorders 2023; 5(4): 580 doi: 10.3390/gidisord5040046
5
Getao Du, Yun Zeng, Dan Chen, Wenhua Zhan, Yonghua Zhan. Application of radiomics in precision prediction of diagnosis and treatment of gastric cancerJapanese Journal of Radiology 2022;  doi: 10.1007/s11604-022-01352-4
6
Semra Demirli Atici, Erdinc Kamer. Is CA19-9 effective in predicting chemotherapeutic response in patients with synchronous liver metastases with colorectal cancer?World Journal of Gastroenterology 2022; 28(4): 500-501 doi: 10.3748/wjg.v28.i4.500
7
R. Moretto, M.M. Germani, B. Borelli, V. Conca, D. Rossini, P. Boraschi, F. Donati, L. Urbani, S. Lonardi, F. Bergamo, K. Cerma, G. Ramondo, F.E. D’Amico, L. Salvatore, G. Valente, B. Barbaro, F. Giuliante, M. Di Maio, G. Masi, C. Cremolini. Predicting early recurrence after resection of initially unresectable colorectal liver metastases: the role of baseline and pre-surgery clinical, radiological and molecular factors in a real-life multicentre experienceESMO Open 2024; 9(4): 102991 doi: 10.1016/j.esmoop.2024.102991
8
Han Yan, Tu-Nan Yu. Radiomics-clinical nomogram for response to chemotherapy in synchronous liver metastasis of colorectal cancer: Good, but not good enoughWorld Journal of Gastroenterology 2022; 28(9): 973-975 doi: 10.3748/wjg.v28.i9.973
9
Yanqing Ma, Zheng Guan, Lifeng Qiu, Kaili Shang, Yuguo Wei, Yuan Hang. A multiparameter MRI-radiomics and clinical nomogram to predict the positive circumferential resection margin of rectal carcinomaChinese Journal of Academic Radiology 2023; 6(2): 73 doi: 10.1007/s42058-023-00118-9
10
Marco Maria Germani, Beatrice Borelli, Piero Boraschi, Carlotta Antoniotti, Clara Ugolini, Lucio Urbani, Luca Morelli, Gabriella Fontanini, Gianluca Masi, Chiara Cremolini, Roberto Moretto. The management of colorectal liver metastases amenable of surgical resection: How to shape treatment strategies according to clinical, radiological, pathological and molecular featuresCancer Treatment Reviews 2022; 106: 102382 doi: 10.1016/j.ctrv.2022.102382
11
Xijun Luo, Hui Deng, Fei Xie, Liyan Wang, Junjie Liang, Xianjun Zhu, Tao Li, Xingkui Tang, Weixiong Liang, Zhiming Xiang, Jialin He. Prognostication of colorectal cancer liver metastasis by CE-based radiomics and machine learningTranslational Oncology 2024; 47: 101997 doi: 10.1016/j.tranon.2024.101997
12
Haoting Zhan, Linlin Cheng, Yeling Liu, Honglin Xu, Xinxin Feng, Yongmei Liu, Haolong Li, Zhan Li, Siyu Wang, Haiqiang Jin, Wenjie Zheng, Hongjun Hao, Yongzhe Li. Significance of immunoglobulins synthesis with central nervous system involvement in Neuro-Behçet’s diseaseClinica Chimica Acta 2024; 559: 119681 doi: 10.1016/j.cca.2024.119681