AI for Renal Tumors Using Non-Contrast CT
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-80
SponsorFudan University
About this trial
The goal of this observational study is to learn whether the artificial intelligence method can automatically identify and diagnose renal lesions using non-contrast CT or opportunistic screening.
Eligibility criteria
Qualifiers
Patients who underwent an abdominal CT examination.
Patients with renal lesions were managed according to standard clinical pathways, which included follow-up, biopsy, or surgery.
Malignant lesions were pathologically confirmed; benign lesions were confirmed by either pathological diagnosis or imaging follow-up.
No prior treatment had been received for the renal disease.
Disqualifiers
Patients refuse to undergo recommended follow-up, biopsy, or surgery, which precluded definitive diagnosis of the renal lesion.
Absence of complete pathological confirmation for lesions suspected to be malignant.
Patients have received any form of prior treatment for the renal lesion.
Poor image quality that hampered diagnostic evaluation.
Trial design
Treatments tested in this trial
- Not listed
Trial groups
No trial groups listed
Sponsors and collaborators
Source ClinicalTrials.gov