Development of a method for digital assessment of tumor regression grade in patients with rectal cancer following neoadjuvant therapy.

ABSTRACT: Neoadjuvant chemo-radiotherapy (nCRT) followed by surgical resection is the standard treatment strategy in patients with locally advanced rectal cancer (RC). The pathological effect of nCRT is assessed by determining the tumor regression grade (TRG) of the resected tumor. Various methods exist for assessing TRG and all are performed manually by the pathologist with an accompanying risk of interobserver variation. Automated digital image analysis could be a more objective and reproducible approach to evaluate TRG. This study aimed at developing a digital method to assess TRG in RC following nCRT, and correlate the results to the currently used Mandard method. A deep learning-based semi-automatic Epithelium-Tumor area Percentage (ETP) algorithm enabling quantification of tumor regression by

SUBMITTER: Jepsen DNM 

PROVIDER: S-EPMC9808016 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature