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AI reads CT scans to predict stomach Cancer's return

NCT ID NCT07683195

Knowledge-focused Sponsor: Liu Yang Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 06, 2026 · Last updated Jul 08, 2026 · Updated 2 times

Summary

This study explores whether artificial intelligence can predict if stomach cancer will come back within a year after surgery. Researchers will analyze CT scans and clinical data from 900 patients with locally advanced gastric cancer. The goal is to build a model that helps doctors identify high-risk patients earlier.

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 identify patients at high risk of cancer returning soon after surgery, allowing for closer monitoring or earlier treatment.
What could go wrong
This is an observational study using existing data, not a treatment trial. The AI model may not be accurate enough for real-world use, and results may not apply to all patients.

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 900 people

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

Started

Jan 2020

Expected to finish

Aug 2026

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

All patients with locally advanced gastric cancer

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. pathology diagnosis of LAGC (pT2NxM0-pT4NxM0); 2. radical gastrectomy with D2 lymph node dissection (\>15 lymph nodes); 3. available clinicopathological data; 4. patients underwent contrast-enhanced abdominal CT scans within 4 weeks before surgery. Exclusion Criteria: 1. preoperative treatment for LAGC (radiotherapy, chemotherapy, or systemic therapy); 2. previous malignancies; 3. unsatisfactory gastric distention or inability to identify the primary tumor; 4. image artifacts.

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Conditions

The condition(s) this trial relates to.

gastric cancer gastric neoplasm Recurrence

As listed by the trial registrant

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

Gastric cancer

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

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

    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

  • QianfoshanH

    Jinan, Shandong, 250014, China

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