AI could revolutionize esophageal cancer care: 7,000-Patient study launches
NCT ID NCT07203690
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to develop an AI system that helps doctors choose the best treatment for esophageal cancer. Researchers will collect data from 7,000 patients, including medical images and tissue samples, to train a computer model that predicts how well a patient will respond to therapy. The goal is to move away from one-size-fits-all treatment and toward personalized care.
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 7,000 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Dec 2025
An estimate. Start dates often move.
- Expected to finish
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Dec 2027
An estimate. End dates often move.
- Lead sponsor
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A government agency
The lead sponsor is a government body.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
This study will enroll 7,000 esophageal carcinoma patients from multiple centers. Participants will receive CT and mpMRI scans before, during, and after treatment, as required for evaluating surgery, neoadjuvant therapy, or definitive chemoradiation. PET-CT will be performed if distant metastasis is suspected. Whole-slide digital scanning will be applied to biopsy and surgical specimens for pathological analysis.
- 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. Aged 18-70 years; 2. Histologically confirmed esophageal carcinoma by biopsy; 3. No prior antitumor therapy received. Exclusion Criteria: 1. Contraindications to MRI examination; 2. Poor compliance with antitumor therapy; 3. Unwillingness to participate in the study; 4. Image quality inadequate for diagnostic requirements.
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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 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.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Antibody-Drug conjugate targets advanced esophageal cancer after standard treatments fail
- Can digital questionnaires improve life during pancreatic cancer therapy?
- Can a drug combo stop esophageal cancer from returning after surgery?
- Blood proteins may predict who beats esophageal cancer with chemoradiation
- Experimental drug put to the test against Hard-to-Treat GI cancers
- Can an oral HER2 drug boost Chemo's punch in HER2-Low breast cancer?