Multiparametric MRI in a Prospective Cohort of Living Kidney Donors, Recipients, and Healthy Controls: Correlations With Markers of Renal Function, Fibrosis and Ageing (MpRenal)

July 23, 2025 updated by: Patrick Schjelderup

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

Development of renal fibrosis is a characteristic end point of various renal diseases and independently predicts adverse renal outcomes. The most common cause of kidney allograft failure after 1 year is chronic allograft nephropathy which is characterized by interstitial fibrosis and tubular atrophy. At present the only method for quantifying renal fibrosis is a renal biopsy. Although the risk of complications is relatively low, the procedure is invasive, limiting its use for repeated assessments in a clinical setting. Furthermore, as only the renal cortex is usually sampled and because of the miniscule amount of tissue obtained there are issues of sampling bias and information on total renal fibrosis is limited. Estimated glomerular filtration rate (eGFR) is widely used for monitoring renal function but is insensitive for detecting allograft fibrosis.

Epidemiological data suggests that living kidney donors (LKD) are at increased risk of end stage renal disease compared to matched non-donors. Lower predonation renal function and higher age accentuate the risk. In a recent prospective study, renal cortex volume predicted renal outcome after 1 year in LKD.

In recent years there has been a rapid development in renal magnetic resonance imaging (MRI) techniques, allowing assessment of total renal morphology, microstructure, hemodynamics, oxygenation, and diffusion of water. Multiparametric MRI (mpMRI) refers to the combination of several MRI-based measures sensitive to different biophysical tissue properties in a single scan session. The information obtained could possibly provide a means of characterizing several aspects of renal function and morphology.

The MRI based measures that show the greatest promise for clinical application are longitudinal relaxation time (T1), diffusion weighted imaging (DWI), blood oxygen-level dependent imaging (BOLD) and arterial spin labelling (ASL). In a cross-sectional study, patients with chronic kidney disease (n=22) and healthy volunteers (n=22) were assessed with MRI-based measures and renal biopsy. MRI based measures were reproducible and correlated with currently used methods for measuring renal function. Significant differences were found in T1-mapping, apparent diffusion coefficient (ADC) and ASL in persons with low and high degrees of renal fibrosis. In another cross-sectional study (n = 164) the corticomedullary ADC difference was highly correlated to and independently associated with renal fibrosis in both native kidneys and allografts. In a more recent prospective study, the corticomedullary ADC difference was predictive of kidney function decline and dialysis initiation in transplant recipients and patients with CKD. Reduced oxygenation determined by low BOLD has been linked to the progression rate of chronic kidney disease. Interestingly, a study found that diffusion-based MRI measures detected an increase in allograft fibrosis before apparent changes in the estimated glomerular filtration rate.

Before mpMRI of the kidneys can be utilized in the clinical setting there is a need for development of a larger evidence base. To date clinical studies employing MRI-based measures have been mostly cross-sectional. So far, only few studies have been performed in living kidney donors (LKD) and renal transplant recipients. To the best of our knowledge, no studies have been performed with long term follow-up including repeated mpMRI, renal biopsies and accurate measurement of glomerular filtration rate with DTPA clearance. Repeated imaging is necessary to establish how MRI-based measures change over time in association with currently used reference methods for quantifying renal function and fibrosis.

Accelerated renal ageing trough p16INK4a pathway activation, leading to cellular senescence, is involved in the development of renal fibrosis. Senescent cells are characterized by irreversible growth arrest and express a pro-inflammatory and pro-fibrotic senescent associated secretory phenotype (SASP). This biochemical footprint can be detected by immunohistochemistry and may be predictive of renal fibrosis in chronic kidney disease and renal transplantation.

Serum uromodulin (sUmod) and urinary epidermal growth factor (uEGF) originate from kidney tubules and may reflect functional nephron mass and are associated with renal function decline and fibrosis.

Klotho, which was initially known as an anti-ageing gene is expressed on the cell surface membranes of proximal and distal tubules. Decreasing levels of soluble klotho accompany chronic kidney disease and have been linked to the development of renal fibrosis.

The overall aim of this prospective follow-up study is to investigate the utility of repeated mpMRI and biomarkers in monitoring renal function and for detecting the development of fibrosis in renal allografts. MRI-based measures and biomarkers of renal ageing and fibrosis will be compared to current gold standard methods for characterizing and quantifying renal function and fibrosis in a cohort of LKD, recipients and healthy controls.

This is an exploratory study. A novel and unstandardized MRI patch consisting of multiple MRI-based measures performed in a single scan will be utilized. Specific data to inform estimates of accuracy and variance for this method is not available. Calculations of power and sample size are thus challenging to perform. Furthermore, published data on the relationships between MRI-based measures and fibrosis are heterogenous regarding the methods used for quantifying fibrosis histologically and thresholds for fibrosis.

The prevalence of fibrosis in renal allografts, which is of primary interest is expected to increase from baseline to the final visit. Based on previous work it is expected that 40-50 % of renal allografts will have significant levels of fibrosis after 2 years. It is however possible, that present levels of fibrosis in allografts are lower than previous due to optimized immunosuppressive regimens.

Several power calculations have been performed. Effect sizes have been based on prior published data on the difference and variance of ASL and ADC values in patients with different levels of fibrosis. With a power of 0.8 and an alpha of 0.05 it is estimated that a sample size n = 32 will be adequate to detect fibrosis at a threshold of 40%.

During the inclusion period LKD and recipients from Aalborg- and Aarhus University Hospital will be offered to participate in the study. Currently approximately 30-35 living donor pairs are transplanted annually. During the inclusion period of 2 years, the investigators aim to include 40 living donors and recipients. With an expected drop-out of 20% 32 living donors and recipients are expected to complete the study.

Multiparametric MRI mpMRI will be performed according to standard operating procedure in the Department of Diagnostic imaging at the participating hospitals.

The mpMRI scan protocol will be performed on a 3 Tesla MRI scanner (General Electrics (GE) Healthcare) and includes the following MRI measures:

  • Structural T2 and/or T1 weighted renal MRI (for volumetric measurement)
  • Diffusion weighted imaging (DWI) with b-values 0, 10, 20, 30, 40, 50, 70, 100, 200, 300, 400, 500, 800 s/mm2
  • T1- and T2-mapping
  • BOLD MRI with T2*
  • ASL perfusion
  • Non-contrast Magnetic Resonance Angiography
  • Quantitative flow measurements in the renal arteries

Scan time is approximately 60 minutes. During this time participants will be required to lie still in the supine position. Participants will be required to fast for 3 hours prior to the scan.

Postprocessing of MRI data will be done with the aid of commercially available software and analysis software developed in-house in collaboration with Aalborg- and Aarhus University Hospital and Aarhus university.

99mTc-DTPA clearance is a method for accurately measuring GFR. The DTPA clearance will be performed according to standard operating procedure at the Departments of Diagnostic Imaging at the participating hospitals.

Allograft biopsy Biopsies will be obtained using 18G needle and fixed in phosphate-buffered 4% formaldehyde and embedded in paraffin and stained with hematoxylin and eosin, periodic acid-Schiff, and Masson trichrome.

Quantitative histological evaluation will be used to evaluate biopsies using and Olympus BX50 light microscope (Olympus Denmark, Ballerup, Denmark) equipped with a prior motorized stage, and Olympus DP70 digital camera interfaced to a PC with commercially available newCAST software (Visiopharm, Hørsholm, Denmark).

Extent of fibrosis will be quantified by systematic evaluation of scattered test points (≈100) across the Masson trichrome-stained sections using a x4 lens (NA 0.13) (29).

Additionally, biopsies will be evaluated for markers of renal ageing and fibrosis:

  • p16INK4a pathway activation
  • klotho
  • additional markers of renal ageing and fibrosis

Blood- and urine samples Hemoglobin, hematocrit, leukocytes, platelets, CRP, creatinine, eGFR, urea, sodium, potassium, total phosphate, bicarbonate, ionized calcium, total magnesium, intact PTH, alkaline phosphatase, glucose, soluble klotho and sUmod.

A spot urine sample will be used for the determination of u-albumin/creatinine ratio, glucose, leucocytes, nitrite, blood and uEGF.

Study Type

Observational

Enrollment (Estimated)

96

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Patrick Schjelderup, MD
  • Phone Number: +4597666015
  • Email: pasc@rn.dk

Study Locations

  • Denmark
    • Central Denmark Region
      • Aarhus, Central Denmark Region, Denmark, 8200
        • Recruiting
        • Department of Renal Medicine, Aarhus University Hospital
        • Contact:
        • Principal Investigator:
          • MD
    • North Jutland Region
      • Aalborg, North Jutland Region, Denmark, 9200
        • Recruiting
        • Department of Nephrology, Aalborg University Hospital
        • Contact:
          • Patrick Schjelderup
          • Phone Number: +4597666015
          • Email: pasc@rn.dk
        • Principal Investigator:
          • Patrcik Schjelderup, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Prospective cohort of living kidney donors, recipients and healthy controls. Donors and recipients will be recruited from the Departments of Renal Medicine at Aalborg- and Aarhus University Hospital. Healthy controls will be matched by age and sex to living kidney donors.

Based on power calculations we aim to include 32 participants in each cohort. Inclusion period of 2 years is expected and 2 years of follow-up planned.

Description

Living kidney donors and transplant recipients:

Inclusion Criteria:

  • Approved as a living kidney donor or recipient of a kidney from a living donor.
  • Able to cooperate to an MRI examination

Exclusion Criteria:

  • Contraindications to MRI due to incompatible foreign objects.
  • Severe claustrophobia

Healthy controls:

Inclusion Criteria:

  • Office BP < 140/90 mmHg. (use of 1 antihypertensive drug allowed)
  • Normal eGFR. (CKD-EPI)
  • Urine albumin-to-creatinine ratio < 30 mg/g.
  • Dipstick negative for hematuria and proteinuria.
  • Able to cooperate to an MRI examination.

Exclusion Criteria:

  • Contraindications to MRI due to incompatible foreign objects.
  • Severe claustrophobia.
  • Pregnancy.
  • Condition(s) that would exclude living kidney donation.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Living kidney donors
Procedure: Living kidney donation
Operative procedure - donation of a kidney
Transplant recipients
Recipients of kidneys from living donors
Procedure: Renal transplantation
Operative procedure - receipt of a kidney
Healthy controls
Age- and sex matched healthy controls (Living kidney donors)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation between MRI-based measures (T1/T2-mapping, ADC, ASL) and fibrosis quantified by morphometric evaluation renal biopsy.
Time Frame: Multiparametric MRI and allograft biopsy at baseline, 3 months, 12 months and 24 months.
Changes in MRI-based measures will be correlated to changes in allograft fibrosis quantified by morphometric evaluation of renal biopsy.
Multiparametric MRI and allograft biopsy at baseline, 3 months, 12 months and 24 months.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation between MRI-based measures (T1/T2-mapping, ADC, ASL) and measured GFR.
Time Frame: Multiparametric MRI and DTPA clearance baseline, 3 months, 12 months and 24 months.
Changes in MRI-based measures will be correlated to changes in measured GFR. (DTPA clearance)
Multiparametric MRI and DTPA clearance baseline, 3 months, 12 months and 24 months.
Diagnostic performance of MRI-based measures and biomarkers as regards to allograft fibrosis.
Time Frame: Multiparametric MRI and biomarkers at baseline, 3 months, 12 months and 24 months.
Receiver operating characteristic curves, sensitivity, specificity, positive- and negative predicitive values will be specified.
Multiparametric MRI and biomarkers at baseline, 3 months, 12 months and 24 months.
Predictive value of MRI-based measures and biomarkers of renal ageing and fibrosis as regards to development of allograft fibrosis and renal function decline.
Time Frame: Multiparametric MRI and biomarkers at baseline, 3 months, 12 months and 24 months.
Multiple regression modelling with MRI-based measures and biomarkers as independent variables and measured GFR and allograft fibrosis as dependent variables.
Multiparametric MRI and biomarkers at baseline, 3 months, 12 months and 24 months.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Patrick Schjelderup

Collaborators

Aarhus University Hospital

Investigators

  • Principal Investigator: Patrick Schjelderup, MD, Aalborg University Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 29, 2024

Primary Completion (Estimated)

August 1, 2028

Study Completion (Estimated)

August 1, 2029

Study Registration Dates

First Submitted

January 8, 2024

First Submitted That Met QC Criteria

January 8, 2024

First Posted (Actual)

January 18, 2024

Study Record Updates

Last Update Posted (Actual)

July 28, 2025

Last Update Submitted That Met QC Criteria

July 23, 2025

Last Verified

July 1, 2025

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • Protocol_v2

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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