Renal mass
Conditions
Interventions
Gold Standard:renal mass pathology result
Index test:A technical system that automatically analyzes ultrasound image features through artificial intelligence models to achieve disease detection, classification or quantitative evaluation.
Sponsors
Zhongshan Hospital, Fudan University
Eligibility
Sex/Gender
All
Age
18 Years to 90 Years
Inclusion criteria
Inclusion criteria: 1. Patients aged 18 to 90 years, regardless of gender; 2. Patients who have previously sought diagnosis and treatment for renal masses at Zhongshan Hospital, Fudan University; 3. Preoperative ultrasound examination was performed for all patients, and lesions were visible; 4. Patients who had not received treatment for the lesions (such as surgery, ablation therapy, etc.) before the examination.
Exclusion criteria
Exclusion criteria: 1. Patients whose ultrasound images do not meet the requirements (e.g., missing key images, tumors too large to be fully displayed); 2. Patients who cannot cooperate with the ultrasound examination or are allergic to ultrasound contrast agents; 3. Patients with other malignant tumors; 4. Patients with severe diseases of important organs such as the heart, lungs, kidneys, or brain; 5. Patients with severe infection symptoms; 6. Patients with mental disorders.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Ultrasound image features;Sensitivity;specificity;accuracy;Positive predictive value;Negative predictive value; | — |
Countries
China
Contacts
Public ContactHuang Beijian
Zhongshan Hospital, Fudan University
Outcome results
None listed