AI predicts who is cancer-free after rectal cancer treatment
NCT ID NCT07509632
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study involves 320 adults with advanced rectal cancer who received standard chemoradiotherapy and surgery. Researchers are building a computer model that uses MRI scans and patient data to predict whether the cancer has completely disappeared after treatment. The goal is to help doctors personalize care and avoid unnecessary surgeries in the future.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 320 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Feb 2026
- Expected to finish
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May 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients diagnosed with locally advanced or metastatic rectal cancer who underwent standard radical surgery following neoadjuvant chemoradiotherapy
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Patients with histopathologically confirmed rectal adenocarcinoma; 2. Clinical stage cT3-4, or cN+, or M1 advanced rectal cancer; 3. Received standardized neoadjuvant chemoradiotherapy or neoadjuvant chemotherapy; 4. Underwent total mesorectal excision (TME) after the completion of neoadjuvant therapy, with complete postoperative pathological data available. Exclusion Criteria: 1. Previous history of other malignant tumors; 2. Incomplete clinical data; 3. Underwent emergency surgery during nCRT; 4. Complicated with systemic infection or hematological diseases.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Peking University People's Hospital
Beijing, Beijing Municipality, 100044, China
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Other studies related to the condition(s) this trial covers.
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