Evidence map›Paper›PMID 41811676›Full record

ArticleLa Radiologia medica2026

Assessment of renal interstitial fibrosis in glomerulonephritis using compartmental and non-compartmental diffusion magnetic resonance imaging.

Jian Liu, Yu Wu, Daoyu Yang, Guochen Li, Rongpin Wang, Xianchun Zeng

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Article in La Radiologia medica, 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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5 · Who and what money

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6 authors.

Jian Liu *Key Laboratory of Advanced Medical Imaging and Intelligent Computing of Guizhou Province, State Key Laboratory of Public Big Data, Engineering Research Center of Text Computing and Cognitive Intelligence, College of Computer Science and Technology, Ministry of Education, Guizhou University, No.2708, Huaxi Avenue, Guiyang, 550025, Guizhou, China.
Yu Wu *Guizhou Province International Science and Technology Cooperation Base for Precision Imaging Diagnosis and Treatment, Key Laboratory of Advanced Medical Imaging and Intelligent Computing of Guizhou Province, No. 83, Zhongshan Dong Road, Guiyang, 550002, Guizhou, China.
Daoyu YangDepartment of Nuclear Medicine, Guizhou Provincial People's Hospital, No. 83, Zhongshan Dong Road, Guiyang, 550002, Guizhou, China.
Guochen LiDepartment of Nuclear Medicine, Guizhou Provincial People's Hospital, No. 83, Zhongshan Dong Road, Guiyang, 550002, Guizhou, China.
Rongpin WangGuizhou Province International Science and Technology Cooperation Base for Precision Imaging Diagnosis and Treatment, Key Laboratory of Advanced Medical Imaging and Intelligent Computing of Guizhou Province, No. 83, Zhongshan Dong Road, Guiyang, 550002, Guizhou, China.
Xianchun ZengDepartment of Nuclear Medicine, Guizhou Provincial People's Hospital, No. 83, Zhongshan Dong Road, Guiyang, 550002, Guizhou, China. zengxianchun04@foxmail.com.ORCID http://orcid.org/0000-0003-0857-3834

Funding

Guizhou hundred levels of personnel training program project QKHPTRC-GCC [2023] 083National Natural Science Foundation of China 82060314National Natural Science Foundation of China 82460344
6 · The paper itself

Abstract

objectivesThis prospective study designed to evaluate the diagnostic capabilities of diffusion kurtosis imaging (DKI) and intravoxel incoherent motion (IVIM) in assessing renal interstitial fibrosis in glomerulonephritis (GN).

methodsGN was induced in rats by tail vein injection of puromycin amino nucleoside. Animals were sacrificed at six time points (weeks 2, 4, 6, 10, 14, 16) to capture progressive fibrosis, which was graded T0, T1, and T2 by Masson's trichrome staining. A total of 43 rats included in the final analysis were compared across fibrosis stages, and diagnostic performance was assessed by receiver operating characteristic curve analysis.

resultsWith increasing fibrosis, MK and FA rose significantly, whereas MD, D, D*, and f declined. Fibrosis categories correlated positively with MK and FA and negatively with MD, D, D*, and f (all P < 0.05). When differentiating T0 from healthy control group and T1 from T0, medullary FA in DKI provided the highest area under the curve (AUC), while medullary D* in IVIM showed the highest AUC. The combination of medullary D* and FA yielded significantly better AUC than individual parameters (P < 0.05). In distinguishing T1 from T2, cortical MK in DKI provided the highest AUC, while medullary D* in IVIM was the most AUC. However, no statistically significant difference was found between the combined and individual parameters (P > 0.05).

conclusionMild-to-moderate GN-related fibrosis (T0-T1) was more effectively differentiated using medullary IVIM parameters, whereas advanced fibrosis (T2) was better distinguished by cortical DKI metrics. The combined application of IVIM and DKI provided complementary value for fibrosis staging.

Indexed as

Diffusion Magnetic Resonance ImagingGlomerulonephritisKidneyAnimalsDisease Models, AnimalFibrosisMaleProspective StudiesRatsRats, Sprague-DawleyDiffusion kurtosis imagingGlomerulonephritisIntravoxel incoherent motionRenal interstitial fibrosis

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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.