Renal Cell Carcinoma
Conditions
Interventions
Gold Standard:Pathology Report of the Lesion
Index test:Based on non-contrast CT (NCCT), we aim to construct a generative artificial intelligence model (such as GAN/Diffusion Model) to generate synthetic contrast-enhanced CT. This will be integr
Sponsors
Southern Medical University Southern Hospital
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1.Voluntary provision of signed informed consent (Note: For individuals who have not visited the hospital after September 2024 and cannot be contacted, an exemption from obtaining informed consent will be applied for). 2.Age >= 18 years. 3.Presented at Nanfang Hospital, Southern Medical University between January 2020 and January 2028. 4.Underwent contrast-enhanced CT scan of the kidney. 5.For patients with renal space-occupying lesions, a definitive pathological diagnosis of the lesion is required.
Exclusion criteria
Exclusion criteria: 1.Patients with poor-quality imaging data. 2.Patients with missing or incomplete medical records. 3.Patients whose pathological results of the renal lesion indicate mixed pathology (e.g., coexistence of benign and malignant components). 4.Patients deemed unsuitable for participation in this study by the investigators.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| AUC value; | — |
Countries
China
Contacts
Public ContactZaosong Zheng
Southern Medical University Southern Hospital
Outcome results
None listed