A proposal of an updated classification for pelvic relapses of rectal cancer to guide surgical decision-making.

Filiberto Belli Luca SorrentinoGianfrancesco GallinoAlessandro GronchiDavide ScaramuzzaFrancesca ValvoLaura CattaneoMaurizio Cosimelli

Published in: Journal of surgical oncology (2020)

The proposed classification allows selection of subjects candidates to curative surgery, emphasizing that lateral pelvic involvement is the main predictor of R+ resection and independently affects the DFS.

Keyphrases

rectal cancer
minimally invasive
locally advanced
deep learning
decision making
machine learning
coronary artery bypass
surgical site infection
coronary artery disease
radiation therapy
acute coronary syndrome