Evidence map›Paper›PMID 38900336›Full record

ArticleInsights into imaging2024

Assessing renal interstitial fibrosis using compartmental, non-compartmental, and model-free diffusion MRI approaches.

Wentao Hu, Yongming Dai, Fang Liu, Tianshu Yang, Yao Wang, Yiwei Shen, Wenyan Zhou, Dongmei Wu, Leyi Gu, Minfang Zhang and 1 more

Abstract read
In one paragraph

Article in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

11 authors.

Wentao Hu *Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yongming Dai *School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Fang LiuDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tianshu YangDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yao WangDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yiwei ShenDepartment of Nephrology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wenyan ZhouDepartment of Nephrology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Dongmei WuShanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China.
Leyi GuDepartment of Nephrology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Minfang ZhangDepartment of Nephrology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. minfangzh@126.com.
Yan ZhouDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. clare1475@hotmail.com.ORCID http://orcid.org/0000-0001-9402-1109

Funding

National Natural Science Foundation of China 82171885Shanghai Science and Technology Committee Project, Explorer Project Funding 21TS1400700
6 · The paper itself

Abstract

objectiveTo assess renal interstitial fibrosis (IF) using diffusion MRI approaches, and explore whether corticomedullary difference (CMD) of diffusion parameters, combination among MRI parameters, or combination with estimated glomerular filtration rate (eGFR) benefit IF evaluation.

methodsForty-two patients with chronic kidney disease were included, undergoing MRI examinations. MRI parameters from apparent diffusion coefficient (ADC), intra-voxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), and diffusion-relaxation correlated spectrum imaging (DR-CSI) were obtained both for renal cortex and medulla. CMD of these parameters was calculated. Pathological IF scores (1-3) were obtained by biopsy. Patients were divided into mild (IF = 1, n = 23) and moderate-severe fibrosis (IF = 2-3, n = 19) groups. Group comparisons for MRI parameters were performed. Diagnostic performances were assessed by the receiver operator's curve analysis for discriminating mild from moderate-severe IF patients.

resultsSignificant inter-group differences existed for cortical ADC, IVIM-D, IVIM-f, DKI-MD, DR-CSI V

conclusionOur study shows promising results for the assessment of renal IF using diffusion MRI approaches. CRITICAL RELEVANCE STATEMENT: Our study explores the non-invasive assessment of renal IF, an independent and effective predictor of renal outcomes, by comparing and combining diffusion MRI approaches including compartmental, non-compartmental, and model-free approaches. KEY POINTS: Significant difference exists for diffusion parameters between mild and moderate-severe IF. Generally, cortical parameters show better performance than corresponding CMD. Bi-variant model lifts the diagnostic performance for assessing IF.

Indexed as

Corticomedullary differenceDiffusion kurtosis imagingDiffusion relaxation correlated spectrum imagingIntra-voxel incoherent motionRenal interstitial fibrosis

Identifiers

PMID38900336
PMCPMC11189852

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Registered trials

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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.