Evidence map›Paper›PMID 41081883›Full record

ArticleAbdominal radiology (New York)2026

Radiomics-based IVIM-DWI for early noninvasive assessment of renal allograft dysfunction.

Xiaodong Liu, Lihua Chen, Le Yang, Jinxia Zhu, Wen Shen

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Article in Abdominal radiology (New York), 2026. 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
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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.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaodong LiuFirst Central Clinical College, Tianjin Medical University, Tianjin, China.
Lihua ChenTianjin First Central Hospital, Nankai University, Tianjin, China.
Le YangThe Third Affiliated Hospital of Dalian University of Technology, Dalian, China.
Jinxia ZhuMR Collaboration, Siemens Healthcare Ltd, Beijing, China.
Wen ShenTianjin First Central Hospital, Nankai University, Tianjin, China. shenwen66happy@126.com.

Funding

Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-041A
6 · The paper itself

Abstract

objectiveTo develop and rigorously validate radiomics-based predictive models using postoperative intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) MRI for the early, noninvasive assessment of impaired renal allograft function (IRF) in kidney transplant recipients.

methodsThis retrospective study included 97 kidney transplant recipients (mean age, 36.77 ± 10.71 years), categorized into normal or impaired renal function groups based on an estimated glomerular filtration rate (eGFR) cutoff of 60 ml/min/1.73 m

resultsRadiomics models based on IVIM-derived parametric maps (ADC, D

conclusionsThis study is the first to comprehensively compare the predictive performance of radiomics models based on IVIM-DWI, including both single b-value DWI and IVIM parametric maps, for early assessment of renal allograft dysfunction. The integrative use of multi-b-value DWI and IVIM imaging markedly improves diagnostic accuracy, demonstrating a robust noninvasive framework for early detection of renal allograft dysfunction.

Indexed as

Diffusion Magnetic Resonance ImagingKidney TransplantationAdultAllograftsFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedRadiomicsRetrospective StudiesDysfunctionIntravoxel incoherent motion diffusion-weighted imagingKidneyRadiomicsTrainingValidation

Identifiers

PMID41081883

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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.