A Mixed Cohort, Multicentre Exploratory Study of Non-invasive Quantitative Assessment of Renal Graft Function With Non-contrast Functional Magnetic Resonance Imaging

This clinical study aims to investigate a new, non-invasive method for monitoring kidney function after transplantation. Currently, assessing the health of a transplanted kidney often relies on blood tests or invasive biopsies, which may not detect subtle early changes or account for each kidney's unique starting point. This research will use advanced, non-contrast Magnetic Resonance Imaging (MRI) scans to measure various aspects of kidney health, such as blood flow and oxygen levels. The study includes two main groups of participants: 1) kidney transplant donors and their matched recipients, and 2) transplant recipients whose donors are unavailable for study (e.g., deceased donors). For donor-recipient pairs, the goal is to create a personalized "baseline" for each transplanted kidney by scanning the donor before donation. This allows doctors to compare the kidney's function after transplant to its own unique starting point, potentially detecting problems much earlier. For recipients without donor data, the study will evaluate how well the MRI scans can track changes in kidney function over time on their own. Additionally, the study will analyze body composition (like fat and muscle distribution) and metabolic health to understand their relationship with transplant kidney function. We plan to enroll approximately 1000 participants across multiple hospitals. The ultimate goal is to develop a more accurate, individualized, and non-invasive tool for the early detection of transplant kidney problems, helping to improve long-term outcomes and quality of life for transplant patients.

This is a prospective, multicenter, hybrid cohort study designed to validate a non-contrast functional MRI protocol for the non-invasive, quantitative assessment of graft function in kidney transplant recipients. Primary Objectives: To establish an individualized functional baseline for transplanted kidneys through donor-recipient paired studies, moving beyond population-based reference values to enable a "self-comparison" paradigm for enhanced sensitivity in detecting early graft dysfunction. To validate the standalone capability of non-contrast functional MRI for sensitively monitoring dynamic changes in graft function in a large, independent cohort of recipients without donor baseline data (e.g., from deceased donors). To integrate MRI parameters with body composition analysis and metabolic profiles to build a comprehensive, non-invasive assessment model for early diagnosis, treatment evaluation, and prognosis prediction of graft function. Study Cohorts: Paired Study Cohort: Live or deceased kidney transplant donors who can undergo pre-transplant baseline MRI and their corresponding recipients. Independent Recipient Cohort: Kidney transplant recipients for whom donor baseline data is unavailable (primarily from deceased donors). Key Assessments: MRI Protocol: Includes multiple non-contrast functional sequences (e.g., DWI, ASL, BOLD, MT) to quantitatively evaluate renal perfusion, oxygenation, diffusion, and microstructure. Clinical \& Laboratory Data: Collection of serial serum creatinine, eGFR, uric acid, proteinuria, and other relevant biomarkers. Body Composition Analysis: MRI-based quantification of visceral, subcutaneous, perirenal, sinus renalis fat, and muscle mass. Histopathology: When available, biopsy results (e.g., rejection classification, fibrosis scores) will be collected as a reference standard. Study Procedures: Eligible participants will undergo non-contrast MRI scans at scheduled follow-up visits. Clinical data, laboratory results, and body composition metrics will be collected concurrently. For the paired cohort, donor baseline MRI (pre-transplant) serves as the individual reference. All data will be anonymized and analyzed to correlate MRI parameters with clinical, laboratory, and histopathological outcomes. Sample Size: The planned sample size is 1000 participants. This calculation is based on the inclusion of approximately 80 potential predictor variables (from MRI, clinical, and metabolic data) for multivariate analysis, requiring a sample size at least 10 times the number of variables, with an additional allowance for a 20% drop-out rate. Potential Impact: This study seeks to provide a novel, practical, and individualized solution for the precise monitoring of transplant kidney function, addressing a critical unmet need in clinical management, particularly for recipients of deceased donor organs.