Plain-English translation of NCT07566559 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study is collecting real-world information from patients with locally advanced rectal cancer who are receiving neoadjuvant therapy (treatment given before surgery). The researchers want to understand how well different treatment combinations work—especially immunotherapy combined with traditional chemotherapy and radiation—and to use artificial intelligence to predict which patients will have a complete response to treatment, potentially avoiding surgery altogether.
Right now, doctors don't have reliable ways to predict which patients with advanced rectal cancer will respond completely to pre-surgery treatment and might be able to avoid surgery entirely. This trial aims to develop a computer-based prediction system using imaging and molecular data so that treatment can be personalized for each patient, reducing unnecessary surgery and its side effects.
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As a participant, you would continue your scheduled cancer treatment as planned while the research team collects information about your care. They will gather your medical records, imaging scans, and pathology results before and after your treatment. The study uses this real-world data—combined with artificial intelligence analysis—to learn how well different treatment approaches work and to develop better prediction tools for future patients. You may also be part of either a prospective (going forward) or retrospective (looking back at past records) data collection approach.
AI-generated summary from trial data · Jun 3, 2026 · Not medical advice
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