Evidence map›Paper›PMID 41266411›Full record

ArticleScientific reports2025

Detecting early kidney allograft fibrosis with multi-b-value spectral diffusion MRI.

Mira M Liu, Jonathan Dyke, Thomas Gladytz, Jonas Jasse, Ian Bolger, Sergio Calle, Swathi Pavuluri, Tanner Crews, Ananda L Kimm-Drapeau, Surya Seshan and 7 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

17 authors.

Mira M LiuBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jonathan DykeDepartment of Radiology/Citigroup Biomedical Imaging Center, Weill Cornell Medicine, New York, NY, USA.
Thomas GladytzBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Jonas JasseDepartment of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Ian BolgerBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sergio CalleBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Swathi PavuluriBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Tanner CrewsDepartment of Radiology/Citigroup Biomedical Imaging Center, Weill Cornell Medicine, New York, NY, USA.
Ananda L Kimm-DrapeauDepartment of Nephrology and Kidney Transplantation Medicine, Weill Cornell Medicine, New York, NY, USA.
Surya SeshanDepartment of Pathology, Weill Cornell Medicine, New York, NY, USA.
Steven SalvatoreDepartment of Pathology, Weill Cornell Medicine, New York, NY, USA.
Isaac StillmanDepartment of Pathology, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, NY, USA.
Thangamani MuthukumarDepartment of Nephrology and Kidney Transplantation Medicine, Weill Cornell Medicine, New York, NY, USA.
Bachir TaouliBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Samira FaroukTransplant Nephrology, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, NY, USA.
Octavia Bane *BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sara Lewis *BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Sara.Lewis@mountsinai.org.

Funding

J: NRSA Training CoreTL1TR004420 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JANICE L GABRILOVE, Robert O Wright · 2022 to 2026
$3.9M
Characterization of Renal Allograft Fibrosis and Prediction of Outcome Using a Quantitative MRI ApproachR01DK129888 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BANE, OCTAVIA, LEWIS, SARA C · 2021 to 2025
$2.8M
NCATS NIH HHS TL1 TR004420NCATS NIH HHS TL1TR004420NIDDK NIH HHS R01 DK129888NIDDK NIH HHS R01DK129888
6 · The paper itself

Abstract

Kidney allograft fibrosis is a manifestation of chronic kidney disease (CKD) and predicts functional decline, and eventual allograft failure. This study evaluates whether spectral diffusion magnetic resonance imaging (MRI) detects early development and mild/moderate fibrosis in kidney allografts. In a prospective two-center study of kidney allografts, pathologic interstitial fibrosis and tubular atrophy (IFTA) was scored and eGFR was calculated from serum creatinine. Multi-b-value diffusion-weighted imaging (DWI) ([Formula: see text]]) was post-processed with spectral diffusion, intravoxel incoherent motion (IVIM), and apparent diffusion coefficient (ADC). Relationships between imaging parameters and biological processes were measured by Mann-Whitney U-test and Spearman's rank; diagnostic ability was measured by five-fold cross-validation univariate and multi-variate logistic regression. Quality control analyses included volunteer MRI (n = 4) and inter-observer analysis (n = 19). 99 patients were included (50 ± 13yrs, 64 M/35F, 39 IFTA = 0, 22 IFTA = 2, 20 IFTA = 4, 18 IFTA = 6, 46 eGFR ≤ 45mL/min/1.73m

Indexed as

AllograftsDiffusion Magnetic Resonance ImagingKidneyKidney TransplantationAdultAgedFemaleFibrosisGlomerular Filtration RateHumansMaleMiddle AgedProspective StudiesRenal Insufficiency, ChronicAllograftsDiffusionFibrosisKidneyKidney diseaseMRI

Identifiers

PMID41266411
PMCPMC12634676

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.