Track this trial free. DataLookout checks ClinicalTrials.gov daily and emails you which fields changed on NCT07816874 (status, enrollment, completion dates, endpoints, sites) when this record is updated. Free accounts track up to 5 trials.

Track this trial

Model Development and Application Based on Renal Pathology Images

StatusActive, Not Recruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
This single-center retrospective observational cohort study will utilize digital renal pathology images along with corresponding clinical and laboratory data from patients who underwent kidney biopsy at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, between January 1, 2019, and March 31, 2026. Deep learning and image analysis techniques will be employed to develop and validate models for the pathological diagnosis and classification of kidney diseases. The study will also assess model performance in evaluating disease activity and chronicity, as well as investigate the association between image-derived features and long-term renal outcomes. Diagnoses will be established by consensus among three senior renal pathologists, who will serve as the reference standard. A minimum of 8,000 eligible cases are planned for inclusion, which will be divided into training, validation, and independent test sets.
Trial Details
NCT Number NCT07816874
Lead Sponsor Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Conditions Kidney Diseases, Chronic, Glomerular Diseases, Tubulointerstitial Kidney Diseases, IgA Nephropathy (IgAN), Membranous Nephropathy
Enrollment 8,000 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov