Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

Cure My Disease

Don't miss your cure!

 Log in / Sign up

Can AI be a second pair of eyes for liver cancer detection?

NCT ID NCT07768085

Diagnosis Sponsor: Shengjing Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 17, 2026 · Last updated Aug 18, 2026 · Updated 1 time

Summary

This trial asks whether adding artificial intelligence (AI) to radiologists' reading of liver CT scans can match or improve standard reporting. It involves 40,000 adults who had contrast-enhanced CT scans of the abdomen. On some days, radiologists first read scans on their own, then see AI suggestions and may revise their reports; on other days, they use the usual workflow without AI. The main goal is to see if AI-assisted reading misses fewer clinically significant liver cancers, while also checking detection rates, diagnostic accuracy, and reporting speed.

What this could mean

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

Active substance
AI-assisted reading of contrast-enhanced CT scans
What this could lead to
If AI assistance proves non-inferior and improves detection, it could become a standard tool to help radiologists catch liver cancers earlier and reduce missed diagnoses.
What could go wrong
The trial is large but still early; AI may not consistently improve accuracy across all settings, and reliance on AI could introduce new errors or workflow issues.

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 40,000 people

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

Expected to start

Aug 2026

An estimate. Start dates often move.

Expected to finish

Dec 2027

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

Accepted

You do not need to have the condition being studied to take part.

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. Age range 18 years and above 2. Underwent dynamic contrast-enhanced abdominal CT examination with liver coverage 3. Imaging must include at least three required phases: non-contrast, arterial phase, and venous phase; a delayed phase is optional 4. Complete imaging data that meet AI system and radiologist interpretation requirements. Exclusion Criteria: 1. History of recent upper-abdominal surgery (within 30 days) or major hepatobiliary-pancreatic surgery affecting liver evaluation (e.g., liver transplantation or Whipple procedure); patients with prior simple cholecystectomy or single-lesion interventional procedures are not excluded 2. History of recent hepatic trauma (within 30 days) 3. Poor image quality or severe noise artifacts (e.g., metal or motion artifacts) 4. Missing required imaging phases (required at least non-contrast, arterial, and venous phases) or inadequate scan range (e.g., lower-abdomen CT such as pelvic or rectal scans not covering the liver)

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Cyst are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

Conditions

The condition(s) this trial relates to.

cholangiocarcinoma Cirrhosis, Familial, with Pulmonary Hypertension Cysts focal nodular hyperplasia hepatocellular carcinoma intrahepatic cholangiocarcinoma liver hemangioma

As listed by the trial registrant

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

Cyst Focal nodular hyperplasia Hepatic hemangioma Hepatic metastasis Hepatocellular carcinoma (HCC) Intrahepatic cholangiocarcinoma (ICC)

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

  • Shengjing Hospital of China Medical University

    Shenyang, Liaoning, 110004, China

More trials for these conditions

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