Prediction of the Therapeutic Response to Neoadjuvant Chemotherapy for Rectal Cancer Using a Deep Learning Model

Prediction of the Therapeutic Response to Neoadjuvant Chemotherapy for Rectal Cancer Using a Deep Learning Model

Objectives: Predicting the response to chemotherapy can lead to the optimization of neoadjuvant chemotherapy (NAC). The present study aimed to develop a non-invasive prediction model of therapeutic response to NAC for rectal cancer (RC). Methods: A dataset of the prechemotherapy computed tomography...

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Bibliographic Details
Main Authors: Shunsuke Kubota, Taiichi Wakiya, Hajime Morohashi, Takuya Miura, Taishu Kanda, Masashi Matsuzaka, Yoshihiro Sasaki, Yoshiyuki Sakamoto, Kenichi Hakamada
Format: Article
Language:English
Published: The Japan Society of Coloproctology 2025-04-01
Series:Journal of the Anus, Rectum and Colon
Subjects:
computational prediction
ct
machine learning
deep learning
nac
rc
Online Access:https://www.jstage.jst.go.jp/article/jarc/9/2/9_2024-085/_pdf/-char/en
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