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Cited by in F6Publishing
For: Bonomo P, Socarras Fernandez J, Thorwarth D, Casati M, Livi L, Zips D, Gani C. Simulation CT-based radiomics for prediction of response after neoadjuvant chemo-radiotherapy in patients with locally advanced rectal cancer. Radiat Oncol 2022;17:84. [PMID: 35484597 DOI: 10.1186/s13014-022-02053-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Tan X, Yang X, Hu S, Ge Y, Wu Q, Wang J, Sun Z. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features. J Xray Sci Technol 2023;31:49-61. [PMID: 36314190 DOI: 10.3233/XST-221291] [Reference Citation Analysis]
2 Li Z, Kang L, Liu F, Zhao M, Guo S, Lu S, Quan S. Radiomics based on preoperative rectal cancer MRI to predict the metachronous liver metastasis. Abdom Radiol 2022. [DOI: 10.1007/s00261-022-03773-1] [Reference Citation Analysis]
3 Mao Q, Zhou MT, Zhao ZP, Liu N, Yang L, Zhang XM. Role of radiomics in the diagnosis and treatment of gastrointestinal cancer. World J Gastroenterol 2022; 28(42): 6002-6016 [DOI: 10.3748/wjg.v28.i42.6002] [Reference Citation Analysis]
4 Mireștean CC, Iancu RI, Iancu DPT. Capecitabine—A “Permanent Mission” in Head and Neck Cancers “War Council”? JCM 2022;11:5582. [DOI: 10.3390/jcm11195582] [Reference Citation Analysis]