Local recurrence (LR) in locally advanced rectal cancer (LARC) correlated with poor survival and impaired quality of life. The aim of this study was to develop and validate machine learning (ML) models integrating clinicopathological features and inflammatory signature to predict LR in LARC patients undergoing neoadjuvant therapy followed by total mesorectal excision.
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Local recurrence
Timeframe: From date of randomization until the date of death from local recurrence, assessed up to 120 months