Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma

PURPOSE: Pathologic complete response (pCR) is a critical factor in determining whether patients with rectal cancer (RC) should have surgery after neoadjuvant chemoradiotherapy (nCRT). Currently, a pathologist's histological analysis of surgical specimens is necessary for a reliable assessment...

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Detalles Bibliográficos
Autores principales: Wang, Du, Lee, Sang Ho, Geng, Huaizhi, Zhong, Haoyu, Plastaras, John, Wojcieszynski, Andrzej, Caruana, Richard, Xiao, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771385/
https://www.ncbi.nlm.nih.gov/pubmed/36568580
http://dx.doi.org/10.3389/frai.2022.1059033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771385/
https://www.ncbi.nlm.nih.gov/pubmed/36568580
http://dx.doi.org/10.3389/frai.2022.1059033

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