NCT07743749Recruiting
An MRI-Based Study of Intelligent Pathological Subtyping and Grading of Renal Tumors
Source: ClinicalTrials.gov · Last updated 4 Aug 2026
Brief summary (registry, in English)
This retrospective + prospective, non-interventional study aims to develop and evaluate artificial intelligence methods for the detection, pathological subtyping, and histological grading of renal tumors using magnetic resonance imaging (MRI). Approximately 900 adult patients with available preoperative renal MRI examinations and postoperative pathological results will be included. The pathological findings will be used as the reference standard for model development and evaluation. In addition to MRI data, selected demographic, clinical, and laboratory information may be incorporated to improve model performance. The study will not change participants' diagnosis, treatment, or follow-up, and no additional examinations or interventions will be required. All study data will be de-identified before analysis. The ultimate goal is to develop an MRI-based intelligent diagnostic approach that may assist clinicians in the preoperative assessment and individualized management of patients with renal tumors.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 900 (estimated)
- First submitted
- 29 Jul 2026
- Start date
- 1 Jan 2021
- Primary completion date
- 31 Dec 2026
- Lead sponsor
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences
- Diseases
- Kidney cancer
- NCT number
- NCT07743749
What you commit to
- Study type: Observational
- Planned participants: 900
- From 1 Jan 2021 to the primary completion date, 31 Dec 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other
- 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.
Who the study is looking for
- 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.
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Cancer Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College Coordinator of this site? Confirm its status | Beijing | China | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.