Evidence map›Paper›PMID 30608554›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2020

Validation of the corticomedullary difference in magnetic resonance imaging-derived apparent diffusion coefficient for kidney fibrosis detection: a cross-sectional study.

Lena Berchtold, Iris Friedli, Lindsey A Crowe, Chantal Martinez, Solange Moll, Karine Hadaya, Thomas de Perrot, Christophe Combescure, Pierre-Yves Martin, Jean-Paul Vallée and 1 more

2 registry-linked trialsOpen access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
2.3field-weighted citation impact, top 11% 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.

NCT06210555 recruitingnot on this mapstarted 2024, after this paper: background citation

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

TypeobservationalSponsorPatrick SchjelderupRan2024 to 2029Enrolled96ConditionsKidney Transplantation, Multiparametric Magnetic Resonance Imaging, Living Donors, Renal FibrosisArmsRenal transplantation, Living kidney donation
NCT07175051 phase2recruitingnot on this mapstarted 2026, after this paper: background citation

Targeting the Pathophysiology of Sickle Cell-Related Kidney Disease Using the SGLT2 Inhibitors, Empagliflozin

TypeinterventionalSponsorUniversity of Illinois at ChicagoRan2026 to 2030Enrolled20ConditionsSickle Cell Anemia (HbSS, or HbSβ-thalassemia0), AlbuminuriaArmsEmpagliflozin (oral)
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 65 citations in OpenAlex.

  1. Trial
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  4. Multiparametric MR Imaging for Evaluating Renal Function and Microstructure.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
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  16. T1 Mapping of the Abdomen, From theAJR. American journal of roentgenology · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Lena BerchtoldService and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland.
Iris FriedliService of Radiology, Department for Statistics, Department of Radiology and Medical Informatics, University Hospital and University of Geneva, Geneva, Switzerland.
Lindsey A CroweService of Radiology, Department for Statistics, Department of Radiology and Medical Informatics, University Hospital and University of Geneva, Geneva, Switzerland.
Chantal MartinezService and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland.
Solange MollDepartment of Clinical Pathology, Institute of Clinical Pathology, University Hospital of Geneva, Geneva, Switzerland.
Karine HadayaService and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland.
Thomas de PerrotService of Radiology, Department for Statistics, Department of Radiology and Medical Informatics, University Hospital and University of Geneva, Geneva, Switzerland.
Christophe CombescureCRC & Division of Clinical-Epidemiology, Department of Health and Community Medicine, University of Geneva and University Hospitals of Geneva, Geneva, Switzerland.
Pierre-Yves MartinService and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland.
Jean-Paul ValléeService of Radiology, Department for Statistics, Department of Radiology and Medical Informatics, University Hospital and University of Geneva, Geneva, Switzerland.
Sophie de SeigneuxService and Laboratory of Nephrology, Department for Statistics, Department of Internal Medicine Specialties and of Physiology and Metabolism, University Hospital and University of Geneva, Geneva, Switzerland.
University of Geneva · CHUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKidney cortical interstitial fibrosis (IF) is highly predictive of renal prognosis and is currently assessed by the evaluation of a biopsy. Diffusion magnetic resonance imaging (MRI) is a promising tool to evaluate kidney fibrosis via the apparent diffusion coefficient (ADC), but suffers from inter-individual variability. We recently applied a novel MRI protocol to allow calculation of the corticomedullary ADC difference (ΔADC). We here present the validation of ΔADC for fibrosis assessment in a cohort of 164 patients undergoing biopsy and compare it with estimated glomerular filtration rate (eGFR) and other plasmatic parameters for the detection of fibrosis.

methodsThis monocentric cross-sectional study included 164 patients undergoing renal biopsy at the Nephrology Department of the University Hospital of Geneva between October 2014 and May 2018. Patients underwent diffusion-weighted imaging, and T1 and T2 mappings, within 1 week after biopsy. MRI results were compared with gold standard histology for fibrosis assessment.

resultsAbsolute cortical ADC or cortical T1 values correlated poorly to IF assessed by the biopsy, whereas ΔADC was highly correlated to IF (r=-0.52, P < 0.001) and eGFR (r = 0.37, P < 0.01), in both native and allograft patients. ΔT1 displayed a lower, but significant, correlation to IF and eGFR, whereas T2 did not correlate to IF nor to eGFR. ΔADC, ΔT1 and eGFR were independently associated with kidney fibrosis, and their combination allowed detection of extensive fibrosis with good specificity.

conclusionΔADC is better correlated to IF than absolute cortical or medullary ADC values. ΔADC, ΔT1 and eGFR are independently associated to IF and allow the identification of patients with extensive IF.

Indexed as

Cross-Sectional StudiesDiffusion Magnetic Resonance ImagingFemaleFibrosisGlomerular Filtration RateHumansKidney CortexKidney DiseasesKidney MedullaMaleMiddle AgedPilot ProjectsROC Curvechronic kidney diseasecortexdiffusionfibrosisMRI

Identifiers

PMID30608554
OpenAlexW2907226559

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.