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AI reads CT scans to spot stomach cancer stage with precision

NCT ID NCT07250347

Diagnosis Sponsor: The First Affiliated Hospital with Nanjing Medical University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study is testing an artificial intelligence system that analyzes routine contrast-enhanced CT scans to detect stomach cancer and determine its stage (how far it has spread). The goal is to help doctors decide the best treatment, such as whether surgery is needed and how much tissue to remove. The trial will involve 8,000 patients across multiple hospitals and compare the AI's accuracy to that of radiologists.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
artificial intelligence system analyzing contrast-enhanced CT scans
What this could lead to
If successful, this AI tool could help doctors more accurately stage gastric cancer from routine CT scans, leading to better treatment decisions and fewer unnecessary surgeries.
What could go wrong
This is an early-stage study testing the AI's performance against standard practice. The AI may not work as well in all hospitals or for all patients, and it is not yet proven to improve patient outcomes.

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

About 8,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

Aug 2025

Expected to finish

Dec 2028

An estimate. End dates often move.

Lead sponsor

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

This study will enroll adult patients (≥18 years old) with a confirmed diagnosis of gastric cancer (adenocarcinoma) who have undergone contrast-enhanced CT (CECT) as part of their standard preoperative evaluation. Participants will be selected from both internal and external cohorts, with inclusion from multiple centers to assess cross-site reproducibility and generalizability of the AI model.

Ages

18 to 85 years

Sex

Anyone

Healthy volunteers

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

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. pathologically confirmed gastric cancer; 2. preoperative contrast-enhanced CT performed; 3. no evidence of distant metastasis on baseline staging; 4. curative-intent management with complete postoperative histopathology. Exclusion Criteria: 1. prior treatment before surgery; 2. non-diagnostic or poor-quality CT precluding evaluation.

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Conditions

The condition(s) this trial relates to.

gastric cancer gastric neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Gastric cancer patients undergoing gastrectomy Gastric cancer stage

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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

  • The First Affiliated Hospital of Nanjing Medical University

    RECRUITING

    Nanjing, Jiangsu, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.