Skip to content
Pharma Observatory a Scientist.com platform

Clinical trial

The CT-based Deep Learning Model Outperforms Traditional Anatomical Classification Models in Preoperatively Predicting Complications and Risk Grade in Partial Nephrectomy

NCT06876584 is registered in ClinicalTrials.gov with Du Lingzhi as lead sponsor.

NCT NCT06876584
Email me this page as a PDF

Search trials, sites, companies and investigators, and follow each one to the others. Individual plan, $249/seat/mo. Card required.

Get the NCT06876584 report as a PDF

The PDF carries up to 50 rows of each section, where the page shows the first few, with the sources listed. Enter a work email and confirm it from the message we send, and the report follows by email.

Registry record

As filed in ClinicalTrials.gov.

Title
The CT-based Deep Learning Model Outperforms Traditional Anatomical Classification Models in Preoperatively Predicting Complications and Risk Grade in Partial Nephrectomy
Lead sponsor
Du Lingzhi
Phase
Observational
Overall status
Completed
Start date
June 1, 2024
Completion date
February 28, 2025
Enrollment
1,474 (actual)
Sites
1

Conditions

As the registry lists them; a condition with its own page is linked.

renal cell carcinoma (rcc), renal cyst