Background: Although accurate preoperative diagnosis of lymph node metastasis is essential for optimizing treatment strategies for low rectal cancer, the accuracy of present diagnostic modalities has room for improvement.
Objective: The study aimed to establish a high-precision diagnostic method for lymph node metastasis of low rectal cancer using artificial intelligence.
Design: A retrospective observational study.
Objectives: We aimed to identify risk factors for postoperative recurrence (PR) after Altemeier's and Delorme's procedures for full-thickness rectal prolapse (FTRP).
Methods: We enrolled 127 patients who underwent Altemeier's and Delorme's procedures for FTRP between April 2008 and September 2021. We divided the 127 patients into recurrence and non-recurrence groups and conducted univariate and multivariate analyses.