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AI may decode kidney tumors from MRI scans, avoiding biopsies

NCT ID NCT07743749

Diagnosis Sponsor: Cancer Institute and Hospital, Chinese Academy of Medical Sciences 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 04, 2026 · Last updated Aug 05, 2026 · Updated 1 time

Summary

This study tests whether artificial intelligence can analyze MRI images to identify the type and aggressiveness of kidney tumors. Researchers will use scans from about 900 adults who have had surgery for kidney tumors, comparing AI predictions with the actual pathology results. The goal is to see if AI can provide a reliable, non-invasive way to assess tumors before treatment, potentially helping doctors plan personalized care without extra procedures.

What this could mean

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

Active substance
MRI-based artificial intelligence analysis
What this could lead to
If successful, this could give doctors a non-invasive way to predict kidney tumor type and aggressiveness from MRI scans, potentially guiding treatment decisions without immediate surgery.
What could go wrong
The AI models are still being developed and tested, and their accuracy may not be high enough for real-world use. The study relies on existing MRI data, which may vary in quality, and results may not apply to all patients or hospitals.

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 2021

Expected to finish

Dec 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

This retrospective + prospective, hospital-based study includes adult patients with renal tumors who underwent preoperative renal MRI as part of routine clinical care and had corresponding pathological diagnoses. Eligible cases include benign and malignant renal tumor subtypes. Existing de-identified MRI, pathological, demographic, clinical, and laboratory data are collected for artificial intelligence model development and evaluation. No healthy volunteers are included, and no additional examinations, treatments, or study-specific follow-up are performed.

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: * Patients aged 18 years or older. * Patients diagnosed with a renal tumor. * Availability of preoperative renal magnetic resonance imaging examinations. * Availability of a corresponding pathological diagnosis, including pathological subtype and, where applicable, histological grade. * Magnetic resonance images that can be successfully retrieved and are of - - sufficient quality for image analysis. Exclusion Criteria: * Absence of renal magnetic resonance imaging data. * Absence of a corresponding pathological diagnosis or insufficient pathological subtype or grading information. * Magnetic resonance images that cannot be retrieved, opened, or read. * Poor image quality that precludes reliable image annotation or artificial intelligence analysis.

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Conditions

The condition(s) this trial relates to.

kidney cancer kidney neoplasm renal cell carcinoma

As listed by the trial registrant

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

Kidney neoplasm Renal tumor

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

  • Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College

    RECRUITING

    Beijing, China

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