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Predicting pathological response in esophageal squamous cell carcinoma with longitudinal CT radiomics and disentangled representation learning: a multicenter retrospective cohort study.

作者信息

Zhou Xiaoding, Yue Hailin, Zheng Zhunhao, Zhang Wencheng, Wang Jianxin, Peng Lin, Wang Qifeng

机构信息

Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China.

School of Medicine, University of Electronic Science and Technology of China.

出版信息

Int J Surg. 2025 Jan 1;111(1):1498-1502. doi: 10.1097/JS9.0000000000001985.

DOI:10.1097/JS9.0000000000001985
PMID:39051670
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11745662/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b88c/11745662/827cda15fc56/js9-111-1498-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b88c/11745662/388ecf13939b/js9-111-1498-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b88c/11745662/827cda15fc56/js9-111-1498-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b88c/11745662/388ecf13939b/js9-111-1498-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b88c/11745662/827cda15fc56/js9-111-1498-g002.jpg

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Radiother Oncol. 2022 Sep;174:1-7. doi: 10.1016/j.radonc.2022.06.015. Epub 2022 Jun 25.
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MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
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Med Image Anal. 2022 Jul;79:102423. doi: 10.1016/j.media.2022.102423. Epub 2022 Apr 2.
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