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AI tool aims to sharpen esophageal cancer staging

NCT ID NCT07251114

Diagnosis Sponsor: Fujian Provincial Hospital 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests an artificial intelligence system that assists doctors in determining how deep early esophageal cancer has spread, using endoscopic ultrasound images. The goal is to improve the accuracy of preoperative staging, which helps guide treatment decisions. Researchers will enroll 200 participants and compare the AI-assisted grading with actual pathology results after surgery. The study also tracks survival and cancer progression over three years.

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 (device)
What this could lead to
If successful, this AI tool could help doctors more accurately stage early esophageal cancer, leading to better treatment choices and potentially improved survival rates.
What could go wrong
This is an early-stage study with 200 participants, so results may not apply to all patients. The AI system may not always match the accuracy of standard pathology, and its impact on long-term outcomes is still unknown.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 200 people

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

Expected to start

Nov 2025

An estimate. Start dates often move.

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.

Ages

18 years and older

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: * Satisfy ①⑧⑨ and one of the following conditions simultaneously: ②③④⑤⑥⑦ ① Age over 18 years old, ② Esophageal ulcer, ③ low-grade intraepithelial neoplasia, ④ high-grade intraepithelial neoplasia, ⑤ patients with esophageal squamous cell carcinoma, ⑥ white patches of esophageal mucosa, ⑦ esophageal polyps, ⑧ with endoscopic examination records and detailed pathological records, ⑨ agree to participate in the study; Exclusion Criteria: * ① Patients who have undergone esophageal cancer surgery, ② those with a history of radiotherapy and chemotherapy for esophageal cancer, ③ patients with missing data.

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Conditions

The condition(s) this trial relates to.

esophageal cancer esophageal leukoplakia Esophageal Neoplasms esophageal squamous cell carcinoma esophageal ulcer esophagus carcinoma in situ intraepithelial neoplasia

As listed by the trial registrant

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

Early esophageal cancer Esophageal 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

    5 sites. 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

  • Affiliated Hospital of Putian University

    NOT_YET_RECRUITING

    Putian, Fujian, 351100, China

  • Fujian provincial hospital

    RECRUITING

    Fuzhou, Fujian, 350001, China

  • Putian First Hospital

    NOT_YET_RECRUITING

    Putian, Fujian, 351100, China

  • Putian Hospital of Traditional Chinese Medicine

    NOT_YET_RECRUITING

    Putian, Fujian, 351100, China

  • Xianyou County General Hospital

    NOT_YET_RECRUITING

    Putian, Fujian, 351100, China

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