Treatment response prediction of neoadjuvant chemotherapy for rectal cancer by deep learning of colonoscopy images.

ABSTRACT: In current clinical practice, several treatment methods, including neoadjuvant therapy, are being developed to improve overall survival or local recurrence rates for locally advanced rectal cancer. The response to neoadjuvant therapy is usually evaluated using imaging data collected before and after preoperative treatment or postsurgical pathological diagnosis. However, there is a need to accurately predict the response to preoperative treatment before treatment is administered. The present study used a deep learning network to examine colonoscopy images and construct a model to predict the response of rectal cancer to neoadjuvant chemotherapy. A total of 53 patients who underwent preoperative chemotherapy followed by radical resection for advanced rectal cancer at the Osaka University Hos

SUBMITTER: Kato S 

PROVIDER: S-EPMC10551859 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature