Clinical Trial

Predicting Pathological Complete Response in Rectal Cancer Using Machine Learning

Active, Not Recruiting
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Record status
This record was last updated April 3, 2026 (before its estimated April 25, 2026 completion). Its status may not reflect the trial's current state.
Summary
This study aims to develop and validate a robust machine learning-based prediction model utilizing baseline clinical data and magnetic resonance imaging (MRI) features. The objective is to preoperatively predict the probability of achieving a pathological complete response (pCR) in patients with locally advanced rectal cancer (CRC) following neoadjuvant chemoradiotherapy (nCRT).
Trial Details
NCT Number NCT07509632
Lead Sponsor Peking University People's Hospital
Conditions Rectal Cancers, Pathological Complete Response, Neoadjuvant Chemoradiotherapy, Machine Learning
Enrollment 320 participants
Start Date 2026-02-04
Primary Completion 2026-04-25 (estimated)
Study Completion 2026-05-10 (estimated)
Updated on ClinicalTrials.gov 2026-04-03