AI reads MRI scans to predict who will beat rectal cancer
NCT ID NCT05523245
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing whether an artificial intelligence (AI) system can analyze MRI scans to predict how well rectal cancer responds to chemotherapy and radiation before surgery. Researchers will enroll 1,700 adults with locally advanced rectal cancer. The goal is to help doctors decide the best treatment plan for each patient.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 1,700 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jun 2022
- Expected to finish
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Dec 2027
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 with locally advanced rectal cancer (LARC) treated with neoadjuvant therapy and radical surgery
- 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.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Clinical suspicion or colonoscopic pathology of rectal cancer * Age over 18 years * Informed consent and signed informed consent form Exclusion Criteria: * Poor magnetic resonance image quality, such as severe artifacts * Previous treatment for rectal cancer * History or combination of other malignant tumours * Not Locally Advanced Rectal Cancer (LARC) * Not received neoadjuvant therapy or not completed neoadjuvant therapy * No surgery * Time interval between MRI and surgery was more than 2 weeks * Patients were lost to follow-up and voluntarily withdrew from the study due to adverse reactions or other reasons
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
4 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Fifth Affiliated Hospital, Sun Yat-sen University
NOT_YET_RECRUITINGZhuhai, Guangdong, China
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Sixth Affiliated Hospital, Sun Yat-sen University
RECRUITINGGuangzhou, Guangdong, China
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The First Affiliated Hospital of Jinan University
NOT_YET_RECRUITINGGuangzhou, Guangdong, China
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The Second Affiliated Hospital of Guangzhou Medical University
NOT_YET_RECRUITINGGuangzhou, Guangdong, China
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Other studies related to the condition(s) this trial covers.
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