Evidence map›Paper›PMID 32455558›Full record

ArticleJournal of clinical medicine2020

Multiparametric Assessment of Changes in Renal Tissue after Kidney Transplantation with Quantitative MR Relaxometry and Diffusion-Tensor Imaging at 3 T.

Lisa C Adams, Keno K Bressem, Sonja Scheibl, Max Nunninger, Andre Gentsch, Ute L Fahlenkamp, Kai-Uwe Eckardt, Bernd Hamm, Marcus R Makowski

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

21 citing papers in PubMed, 31 citations in OpenAlex.

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  4. Assessing the Impact of Imaging Parameters on MRI Measurement of Kidney TJournal of magnetic resonance imaging : JMRI · 2026
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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

9 authors at 2 institutions in 1 country.

Lisa C AdamsDepartment of Radiology, Charité, Charitéplatz 1, 10117 Berlin, Germany.
Keno K BressemDepartment of Radiology, Charité, Hindenburgdamm 30, 12203 Berlin, Germany.ORCID 0000-0001-9249-8624
Sonja ScheiblDepartment of Radiology, Charité, Charitéplatz 1, 10117 Berlin, Germany.
Max NunningerDepartment of Radiology, Charité, Charitéplatz 1, 10117 Berlin, Germany.
Andre GentschDepartment of Nephrology, Charité, Charitéplatz 1, 10117 Berlin, Germany.ORCID 0000-0003-4810-2973
Ute L FahlenkampDepartment of Radiology, Charité, Charitéplatz 1, 10117 Berlin, Germany.
Kai-Uwe EckardtDepartment of Nephrology, Charité, Charitéplatz 1, 10117 Berlin, Germany.
Bernd HammDepartment of Radiology, Charité, Charitéplatz 1, 10117 Berlin, Germany.
Marcus R MakowskiDepartment of Radiology, Charité, Charitéplatz 1, 10117 Berlin, Germany.
Charité - Universitätsmedizin Berlin · DETechnical University of Munich · DE

Funding

Berlin Institute of Health and Charité Clinician Scientist Grant
6 · The paper itself

Abstract

backgroundMagnetic resonance relaxometry (MRR) offers highly reproducible pixel-wise parametric maps of T1 and T2 relaxation times, reflecting specific tissue properties, while diffusion-tensor imaging (DTI) is a promising technique for the characterization of microstructural changes, depending on the directionality of molecular motion. Both MMR and DTI may be used for non-invasive assessment of parenchymal changes caused by kidney injury or graft dysfunction.

methodsWe examined 46 patients with kidney transplantation and 16 healthy controls, using T1/T2 relaxometry and DTI at 3 T. Twenty-two early transplants and 24 late transplants were included. Seven of the patients had prior renal biopsy (all of them dysfunctional allografts; 6/7 with tubular atrophy and 7/7 with interstitial fibrosis).

resultsCompared to healthy controls, T1 and T2 relaxation times in the renal parenchyma were increased after transplantation, with the highest T1/T2 values in early transplants (T1: 1700 ± 53 ms/T2: 83 ± 6 ms compared to T1: 1514 ± 29 ms/T2: 78 ± 4 ms in controls). Medullary and cortical ADC/FA values were decreased in early transplants and highest in controls, with medullary FA values showing the most pronounced difference. Cortical renal T1, mean medullary FA and corticomedullary differentiation (CMD) values correlated best with renal function as measured by

conclusionCortical T1, medullary FA, and FA CMD might serve as new imaging biomarkers of renal function and histopathologic microstructure.

Indexed as

multiparametric MRIquantitative tissue analysisrenal biopsyrenal pathologytransplantation

Identifiers

PMID32455558
PMCPMC7290480
OpenAlexW3026816322

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.