Actively Recruiting
Multiparametric MRI in a Prospective Cohort of Living Kidney Donors, Recipients, and Healthy Controls: Correlations With Markers of Renal Function, Fibrosis and Ageing
Led by Patrick Schjelderup · Updated on 2025-07-28
96
Participants Needed
2
Research Sites
248 weeks
Total Duration
On this page
Sponsors
P
Patrick Schjelderup
Lead Sponsor
A
Aarhus University Hospital
Collaborating Sponsor
AI-Summary
What this Trial Is About
Development of renal fibrosis is the irreversible culmination of various renal diseases and independently predicts adverse outcomes. Currently renal fibrosis can only be diagnosed by performing a renal biopsy. The procedure is invasive and is limited by sampling bias. In recent years there has been a significant development in magnetic resonance imaging (MRI) based techniques. MRI can provide highly detailed anatomical images. Other MRI measures allow quantitative measurements of perfusion, oxygenation, tissue stiffness and diffusion of water molecules within tissue. The combination of several MRI techniques sensitive to different biophysical tissue properties in a single scan session is referred to as multiparametric MRI (mpMRI). Emerging evidence suggests that mpMRI could represent a method for indirect characterization of renal microstructure and extent of fibrosis. So far, studies performed in living kidney donors and recipients have been mostly cross-sectional. For mpMRI to transition to the clinical setting there is a need for validation of MRI-based measures with currently used reference methods for quantifying renal function and fibrosis. The aim of this longitudinal observational study in a cohort of living kidney donors, recipients and healthy controls is to investigate the utility of repeated mpMRI over a period of 2 years. MRI-based measures will be compared to current reference methods for quantifying renal function and fibrosis. The investigators hypothesize that there will be significant correlations between MRI-based measures, renal function determined by precise measurement of glomerular filtration rate and extent of fibrosis determined by renal biopsy. MRI-based measures are expected to be predictive of renal function decline and development of renal fibrosis. This study could provide valuable data that will be helpful in moving the field of renal mpMRI forward, with the goal of providing a novel and non-invasive method for the diagnosis of renal pathology.
CONDITIONS
Official Title
Multiparametric MRI in a Prospective Cohort of Living Kidney Donors, Recipients, and Healthy Controls: Correlations With Markers of Renal Function, Fibrosis and Ageing
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Approved as a living kidney donor or recipient of a kidney from a living donor
- Able to cooperate to an MRI examination
- Office blood pressure below 140/90 mmHg (use of 1 antihypertensive drug allowed) for healthy controls
- Normal estimated glomerular filtration rate (eGFR) for healthy controls
- Urine albumin-to-creatinine ratio below 30 mg/g for healthy controls
- Dipstick negative for hematuria and proteinuria for healthy controls
- Able to cooperate to an MRI examination for healthy controls
You will not qualify if you...
- Contraindications to MRI due to incompatible foreign objects
- Severe claustrophobia
- Pregnancy (for healthy controls)
- Condition(s) that would exclude living kidney donation (for healthy controls)
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
Department of Renal Medicine, Aarhus University Hospital
Aarhus, Central Jutland, Denmark, 8200
Actively Recruiting
2
Department of Nephrology, Aalborg University Hospital
Aalborg, North Denmark, Denmark, 9200
Actively Recruiting
Research Team
P
Patrick Schjelderup, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
3
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here