Evidence mapPaperPMID 41639628Full record

ArticleBMC medical imaging2026

Diffusion kurtosis imaging for detecting renal functional changes in glomerulonephritis: a longitudinal experimental study.

Jian Liu, Yu Wu, Daoyu Yang, Xunlan Zhang, Rongpin Wang, Xianchun Zeng

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Article in BMC medical imaging, 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jian Liu *Key Laboratory of Advanced Medical Imaging and Intelligent Computing of Guizhou Province, Engineering Research Center of Text Computing & Cognitive Intelligence, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Ministry of Education, Guizhou University, No.2708, Huaxi Avenue, Guiyang, Guizhou, 550025, 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, Department of Radiology, Guizhou Provincial People's Hospital, No. 83, Zhongshan Dong Road, Guiyang, Guizhou, 550002, China.
Daoyu Yang *Department of Nuclear Medicine, Guizhou Provincial People's Hospital, No. 83, Zhongshan Dong Road, Guiyang, Guizhou, 550002, China.
Xunlan ZhangDepartment of Nuclear Medicine, Guizhou Provincial People's Hospital, No. 83, Zhongshan Dong Road, Guiyang, Guizhou, 550002, 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, Department of Radiology, Guizhou Provincial People's Hospital, No. 83, Zhongshan Dong Road, Guiyang, Guizhou, 550002, China.
Xianchun ZengDepartment of Nuclear Medicine, Guizhou Provincial People's Hospital, No. 83, Zhongshan Dong Road, Guiyang, Guizhou, 550002, China. zengxianchun04@foxmail.com.

Funding

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

Abstract

backgroundGlomerulonephritis (GN) is a major contributor to chronic kidney disease, highlighting the need for reliable biomarker to monitor GN. This study aimed to evaluate the potential of diffusion kurtosis imaging (DKI) for dynamic assessment of renal injury in GN.

methods90 Sprague-Dawley rats were assigned to control and GN groups. After GN induction, renal DKI was performed at multiple time points (days 2, 5, 10, 15; weeks 4, 6, 10, 14, 16). Longitudinal changes in cortical and outer medullary parameters were assessed, and at each time point GN rats were compared with controls. Correlations with serological biomarkers were analyzed, and histopathology served as reference.

resultsCortical and outer medullary mean diffusivity (MD) progressively decreased, whereas mean kurtosis (MK), axial kurtosis (Ka), and radial kurtosis (Kr) increased. Fractional anisotropy (FA) decreased early and rose at later stages. Outer medullary changes were more pronounced than cortical. At 2 days, only cortical FA was reduced; from 5 days onward, significant alterations appeared in outer medullary MD and Ka as well as cortical and outer medullary FA, followed by widespread changes in all DKI parameters. MD was negatively correlated with renal function markers (r = -0.29 to -0.69), while MK, Ka, and Kr were positively correlated (r = 0.31–0.69); FA showed minimal correlation. ROC analysis demonstrated non-significant diagnostic value for outer medullary FA, whereas other parameters achieved AUCs of 0.688–0.976. Delong analysis identified outer medullary MD as the highest diagnostic accuracy.

conclusionsDKI demonstrates high sensitivity in detecting renal microstructural alterations in GN and shows potential for dynamic monitoring of disease progression.

Indexed as

Diffusion Magnetic Resonance ImagingDiffusion Tensor ImagingGlomerulonephritisKidneyAnimalsDisease Models, AnimalLongitudinal StudiesMaleRatsRats, Sprague-DawleyChronic kidney diseaseDiffusion kurtosis imagingGlomerulonephritisRenal

Identifiers

PMID41639628
PMCPMC12958618

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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 Socratic graph.