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Development of a Multi-modal Deep Learning Model Integrating Imaging, Clinical, and Molecular Data for Preoperative Diagnosis and Pathologic Risk Prediction in Upper Tract Urothelial Carcinoma

Development of a Multi-modal Deep Learning Model Integrating Imaging, Clinical, and Molecular Data for Preoperative Diagnosis and Pathologic Risk Prediction in Upper Tract Urothelial Carcinoma

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600117275
Enrollment
Unknown
Registered
2026-01-21
Start date
2026-02-01
Completion date
Unknown
Last updated
2026-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Renal cell carcinoma

Interventions

Observation group:None

Sponsors

Zhejiang Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients with renal cell carcinoma (RCC) who are highly suspected based on pathological or imaging findings and are planned for surgical resection, meeting the clinical diagnostic criteria for locally advanced or high-risk kidney cancer; 2. Planned to undergo radical or partial nephrectomy, with postoperative adjuvant therapy (such as targeted therapy or immunotherapy) considered based on specific conditions; 3. Complete preoperative clinical evaluation data, including imaging examinations (such as contrast-enhanced CT, MRI, renal dynamic imaging, etc.) and laboratory indicators (such as renal function, tumor markers); 4. Age >=18 years, no restrictions on gender; 5. No other active malignancies and no serious comorbidities that would affect the safety of surgery or adjuvant therapy; 6. Confirmed by a multidisciplinary team (MDT) consultation that the patient can undergo surgery and subsequent individualized adjuvant therapy.

Exclusion criteria

Exclusion criteria: 1. Patients with non-renal cell carcinoma, or those with an unclear pathological diagnosis; 2. Patients who have previously received systemic targeted therapy, immunotherapy, or radiotherapy, and are currently in a recurrent or widely metastatic stage; 3. Patients with severe cardiac or pulmonary dysfunction, liver or kidney failure, active infections, etc., who cannot tolerate surgery or adjuvant therapy; 4. Patients with severe psychiatric disorders, cognitive impairment, or other conditions affecting study compliance; 5. Patients unable to cooperate with postoperative follow-up or expected to be unable to complete relevant assessments and data collection during the study period; 6. Patients currently participating in other interventional clinical studies that may interfere with the evaluation of this study.

Design outcomes

Primary

MeasureTime frame
Accuracy of pathological risk classification;

Secondary

MeasureTime frame
Model calibration performance;Net clinical benefit by decision curve analysis;Predictive performance for molecular subtyp;

Countries

China

Contacts

Public ContactQi Zhang

Zhejiang Provincial People's Hospital

clinic@126.com+86 13858019285

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026