Artificial intelligence reads CT scans to forecast pancreatic cancer prognosis
NCT ID NCT06760234
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study used artificial intelligence to analyze CT scans and tissue samples from 247 pancreatic cancer patients. The goal was to create a model that predicts how the cancer will behave and how well patients will respond to chemotherapy. The model showed promising accuracy, but more testing is needed before it can be widely used.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this AI model could help doctors better predict how pancreatic cancer will progress and which patients will benefit from chemotherapy.
- What could go wrong
- This is a completed study that developed a model, but it needs further validation in larger, diverse groups before it can be used in routine 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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247 people
The number who actually took part.
- Started
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Jul 2024
- Finished
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Jan 2026
- 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
Pancreatic cancer patients who were undergo surgery and received adjuvant chemotherapy after surgery.
- Ages
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18 to 90 years
- 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 pancreatic cancer, diagnosed through pathology; 2. Patients underwent surgery and received adjuvant chemotherapy after surgery. Exclusion Criteria: 1. Missing or inadequate quality of CT, 2. Incomplete clinical or pathological data. 3. Multiple primary malignancies; 4. History of malignancy.
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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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the Second Affiliated Hospital Zhejiang University School of Medicine
Hangzhou, Zhejiang, 310009, China
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Other studies related to the condition(s) this trial covers.
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