A method to measure renal inner medullary perfusion using MR renography.

A de Boer, K Sharma, B Alhummiany, S P Sourbron

Abstract read

In one paragraph

Article in Magma (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

A de BoerImaging Division, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0001-8096-6961

K SharmaAntaros Medical AB, Mölndal, Sweden.

B AlhummianyDivision of Clinical Medicine, University of Sheffield, Sheffield, UK.

S P SourbronDivision of Clinical Medicine, University of Sheffield, Sheffield, UK. s.sourbron@sheffield.ac.uk.

Funding

Horizon 2020 115974

6 · The paper itself

Abstract

objectiveIn 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 (F MATERIALS AND

methodsWe 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 F

resultsAverage (standard deviation) F 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 F

Indexed as

Contrast MediaDynamic Contrast Enhanced Magnetic Resonance ImagingKidney MedullaRadioisotope RenographyRenal CirculationComputer SimulationGlomerular Filtration RateHumansKidney CortexModels, BiologicalContrast MediaKidney medullaMagnetic resonance imagingPerfusion

Identifiers

PMID39954190

DOI10.1007/s10334-025-01225-7

PMCPMC12497669

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.