References
Oda S, Kuno H, Hiyama T, Sakashita S, Sasaki T, Kobayashi T. Computed tomography-based radiomic analysis for predicting pathological response and prognosis after neoadjuvant chemotherapy in patients with locally advanced esophageal cancer. Abdom Radiol (NY) 2023.
Rice TW, Gress DM, Patil DT, Hofstetter WL, Kelsen DP, Blackstone EH. Cancer of the esophagus and esophagogastric junction-Major changes in the American Joint Committee on Cancer eighth edition cancer staging manual. CA Cancer J Clin 2017; 67: 304-317.
Funding
This study is partially supported by the Health Commission Foundation of Hunan Province (No. 20200590) and the National Science Foundation for Young Scientists of Hunan Province (No. 2020JJ5304).
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Tan, XZ., Zhang, HH. & Yang, F. Letter to the editor on “Computed tomography-based radiomic analysis for predicting pathological response and prognosis after neoadjuvant chemotherapy in patients with locally advanced esophageal cancer”. Abdom Radiol 48, 3033–3034 (2023). https://doi.org/10.1007/s00261-023-03972-4
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DOI: https://doi.org/10.1007/s00261-023-03972-4