Evidence map›Paper›PMID 41532966›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Multiparametric MRI for Predicting Renal Function Deterioration and Chronic Kidney Disease Development in Patients Undergoing Nephrectomy for Renal Masses: A Pilot Study.

Mira M Liu, Octavia Bane, Xin Mu, Haitham Al-Mubarak, Arthi M Reddy, Ian Bolger, Ghadi Abboud, Paul Kennedy, Philip Robson, Kirolos Meilika and 6 more

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

16 authors.

Mira M LiuBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-8729-9302
Octavia BaneBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-1315-5848
Xin MuBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-3302-2084
Haitham Al-MubarakBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Arthi M ReddyDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, New York, USA.
Ian BolgerBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ghadi AbboudBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Paul KennedyBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-4295-3670
Philip RobsonBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Kirolos MeilikaDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Amir HorowitzPrecision Immunology Institute/Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Bernd KuhnSiemens Healthcare, Erlangen, Germany.
Samira FaroukDepartment of Nephrology, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, New York, USA.
Ketan BadaniDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Bachir TaouliBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0001-6409-1333
Sara LewisBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-4713-6453

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
Bayer HealthCareNCATS NIH HHS TL1 TR004420NCATS NIH HHS TL1TR004420
6 · The paper itself

Abstract

backgroundPatients with solid renal masses (SRMs) are at risk of chronic kidney disease (CKD) after surgical resection without a reliable pre-operative predictor. PURPOSE: To investigate whether pre-operative multiparametric MRI (mpMRI) can predict CKD development and progression to stage 3 CKD. STUDY TYPE: Prospective. POPULATION: Forty-three participants (female = 13, mean age: 59 ± 12 years) undergoing nephrectomy for SRM. FIELD STRENGTH/SEQUENCE: 1.5 T, diffusion-weighted echo-planar imaging (DWI) using nine b-values (0-800 s/mm ASSESSMENT: A clinical CKD risk score was calculated from estimated glomerular filtration rate (eGFR), age, diabetes, and surgery (partial or radical nephrectomy). mpMRI parameters included cortical and medullary apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM), tri-exponential diffusion (fast, medium, and slow), and spectral diffusion (vascular, tubule, and tissue) from DWI, native T STATISTICAL TESTS: Mann-Whitney U-test and Spearman's rank correlation coefficient (r). Diagnostic ability was determined by leave-one-out cross-validated logistic regression area-under-the-receiver-operator-curve (AUC) and diagnostic odds ratio (DOR) with p-value < 0.05 considered significant.

resultsThirty of 43 (67%) participants had normal baseline renal function (eGFR ≥ 60 mL/min/1.73 m DATA

conclusionPre-operative mpMRI predicted post-nephrectomy CKD development. A larger corticomedullary difference in ADC may indicate reduced functional reserve. EVIDENCE LEVEL: 1. TECHNICAL EFFICACY: Stage 2.

Indexed as

KidneyKidney NeoplasmsMultiparametric Magnetic Resonance ImagingNephrectomyRenal Insufficiency, ChronicAgedContrast MediaDiffusion Magnetic Resonance ImagingDisease ProgressionDynamic Contrast Enhanced Magnetic Resonance ImagingEcho-Planar ImagingFemaleGlomerular Filtration RateHumansMaleMiddle AgedContrast Mediadiffusionkidneykidney diseasenephrectomyrenal masses

Identifiers

PMID41532966
PMCPMC12922647

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.