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
This trial does not accept healthy volunteersQualifiers
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 population
Patients who underwent an abdominal CT examination.
Trial design
Design model
Cohort
Time perspective
Other
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Building an intelligent diagnostic system for renal diseases based on CT scans.
To construct an intelligent system for the detection of renal mass lesions and their differentiation into cysts, benign, and malignant neoplasms.
Time frame
1 yearSecondary outcomes
1
Further develop artificial intelligence model to effectively diagnose pathological types of common renal tumors.
Time frame
1 yearSponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: