Skip to content
Pharma Observatory a Scientist.com platform

Clinical trial

A CT-BASED Deep Learning Model for Predicting WHO/ISUP Pathological Grades of Clear Cell Renal Cell Carcinoma (ccRCC) :A Multicenter Cohort Study

NCT06559046 is registered in ClinicalTrials.gov with Ting Huang as lead sponsor.

NCT NCT06559046
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 NCT06559046 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
A CT-BASED Deep Learning Model for Predicting WHO/ISUP Pathological Grades of Clear Cell Renal Cell Carcinoma (ccRCC) :A Multicenter Cohort Study
Lead sponsor
Ting Huang
Phase
Observational
Overall status
Completed
Start date
January 1, 2019
Completion date
June 30, 2024
Enrollment
483 (actual)
Sites
1

Conditions

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

clear cell renal cell carcinoma, deep learning, tumor grading