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For: Mahadevan LS, Zhong J, Venkatesulu B, Kaur H, Bhide S, Minsky B, Chu W, Intven M, van der Heide UA, van Triest B, Krishnan S, Hall WA. Imaging predictors of treatment outcomes in rectal cancer: An overview. Critical Reviews in Oncology/Hematology 2018;129:153-62. [DOI: 10.1016/j.critrevonc.2018.06.009] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
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4 Lutsyk M, Awawda M, Gourevich K, Ben Yosef R. Tumor Volume as Predictor of Pathologic Complete Response Following Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer. Am J Clin Oncol 2021;44:482-6. [PMID: 34269693 DOI: 10.1097/COC.0000000000000846] [Reference Citation Analysis]
5 Kurata Y, Hayano K, Ohira G, Imanishi S, Tochigi T, Isozaki T, Aoyagi T, Matsubara H. Computed tomography-derived biomarker for predicting the treatment response to neoadjuvant chemoradiotherapy of rectal cancer. Int J Clin Oncol 2021;26:2246-54. [PMID: 34585288 DOI: 10.1007/s10147-021-02027-2] [Reference Citation Analysis]
6 Reginelli A, Nardone V, Giacobbe G, Belfiore MP, Grassi R, Schettino F, Del Canto M, Grassi R, Cappabianca S. Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review. Diagnostics (Basel) 2021;11:1796. [PMID: 34679494 DOI: 10.3390/diagnostics11101796] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 van Griethuysen JJM, Lambregts DMJ, Trebeschi S, Lahaye MJ, Bakers FCH, Vliegen RFA, Beets GL, Aerts HJWL, Beets-Tan RGH. Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer. Abdom Radiol (NY). 2020;45:632-643. [PMID: 31734709 DOI: 10.1007/s00261-019-02321-8] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 14.0] [Reference Citation Analysis]