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AI model aims to predict recovery after Kidney-Sparing surgery

NCT ID NCT07697417

Knowledge-focused Sponsor: Tianjin Medical University Second Hospital Source: ClinicalTrials.gov ↗

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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
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 This study
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 Results may not be published yet.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

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Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jul 13, 2026 · Last updated Jul 14, 2026 · Updated 1 time

Summary

This study looks at whether combining CT scan images, tumor features, and patient health information can better predict how well people recover after partial nephrectomy for endophytic kidney cancer. Researchers will analyze data from 406 patients who have already had surgery to build and test a computer model. The goal is to improve predictions of complications, kidney function, and cancer recurrence compared to using scans or clinical data alone.

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 model could help doctors better predict recovery and complications after kidney-sparing surgery for hard-to-reach tumors.
What could go wrong
This is a retrospective observational study, not a controlled trial. The model may not work as well in other hospitals or patient groups.

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

406 people

The number who actually took part.

Started

Jan 2026

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

The study population will include adult patients with endophytic renal cell carcinoma who underwent partial nephrectomy at participating medical centers and had available preoperative imaging, clinical, pathological, perioperative, and postoperative follow-up data. Patients will be identified retrospectively from institutional databases and electronic medical records.

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 diagnosed with renal cell carcinoma. Patients with endophytic renal tumors based on preoperative imaging assessment. Patients who underwent partial nephrectomy. Available preoperative contrast-enhanced computed tomography images. Available clinical, pathological, perioperative, and postoperative follow-up data. Age 18 years or older at the time of surgery. Exclusion Criteria: * Patients who underwent radical nephrectomy as the primary surgical treatment. Patients with missing or poor-quality preoperative imaging data. Patients with incomplete key clinical, pathological, or follow-up information. Patients with hereditary renal cancer syndromes. Patients with bilateral renal tumors or solitary kidney. Patients who received neoadjuvant systemic therapy before partial nephrectomy.

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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.

Endophytic renal tumor Kidney neoplasms Partial nephrectomy outcome Postoperative renal function Renal cell carcinoma

Contacts and locations

Locations

  • Tianjin Medical University Second Hospital

    Tianjin, Tianjin Municipality, China

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