de Boer, A. orcid.org/0000-0001-8096-6961, Sharma, K., Alhummiany, B. et al. (1 more author) (2025) A method to measure renal inner medullary perfusion using MR renography. Magnetic Resonance Materials in Physics, Biology and Medicine. ISSN 0968-5243
Abstract
Objective
In the kidney, the medulla is most susceptible to damage in case of hampered perfusion or oxygenation. Due to separate regulation of cortical and medullary perfusion, measurement of both is crucial to improve the understanding of renal pathophysiology. We aim to develop and evaluate a physiologically accurate model to measure renal inner medullary (Fmed) and cortical perfusion (Fcor) separately.
Materials and methods
We developed a 7-compartment model of renal perfusion and used an iterated approach to fit 10 free parameters. Model stability and accuracy were tested on both patient data and simulations. Cortical perfusion and FT (tubular flow or glomerular filtration rate per unit of tissue volume) were compared to a conventional 2-compartment filtration model.
Results
Average (standard deviation) Fmed was 37(23)mL/100 mL/min. Fitting stability as expressed by the median (interquartile range) coefficient of variation between fits was 0.0(0.0–5.8)%, with outliers up to 81%. In simulations, Fmed was underestimated by around 8%. Intra-class correlation coefficients for Fcor and FT as measured with the 2- and 7- compartment model were 0.87 and 0.63, respectively.
Discussion
We developed a pharmacokinetic model closely following renal physiology. Although the results were vulnerable for overfitting, relatively stable results could be obtained even for Fmed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2025. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Kidney medulla; Magnetic resonance imaging; Perfusion |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 115974 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Feb 2025 17:28 |
Last Modified: | 28 Feb 2025 17:28 |
Status: | Published online |
Publisher: | Springer Science and Business Media LLC |
Refereed: | Yes |
Identification Number: | 10.1007/s10334-025-01225-7 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:223867 |