Evidence map›Paper›PMID 36502460›Full record

ArticleEuropean radiology2023

Evaluation of interstitial fibrosis in chronic kidney disease by multiparametric functional MRI and histopathologic analysis.

Wei Mao, Xiaoqiang Ding, Yuqin Ding, Bohong Cao, Caixia Fu, Bernd Kuehn, Thomas Benkert, Robert Grimm, Dominik Nickel, Jianjun Zhou and 1 more

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Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

24 citing papers in PubMed, 29 citations in OpenAlex.

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  3. Multiparametric MR Imaging for Evaluating Renal Function and Microstructure.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
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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 at 5 institutions in 2 countries.

Wei MaoDepartment of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China.
Xiaoqiang DingDepartment of Nephrology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, People's Republic of China.
Yuqin DingDepartment of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China.
Bohong CaoDepartment of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China.
Caixia FuMR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China.
Bernd KuehnMR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Thomas BenkertMR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Robert GrimmMR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Dominik NickelMR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Jianjun ZhouDepartment of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China. zhoujianjunzs@126.com.ORCID http://orcid.org/0000-0003-4175-0513
Mengsu ZengDepartment of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China. fdzsmw@126.com.
Siemens Healthineers (Germany) · DESun Yat-sen University · CNShanghai Medical College of Fudan University · CNFudan University · CNSiemens (China) · CN

Funding

Clinical Research Plan of SHDC SHDC2020CR1029BClinical Research Project of Zhongshan Hospital, Fudan University 2020ZSLC61National Natural Science Foundation of China 82171897Science and Technology Guided Project of Fujian Province 2019D025Science and Technology Innovation Action Plan Star Project/Star Cultivation (Sailing Special Project) 22YF1443700Shanghai Municipal Key Clinical Specialty shslczdzk03202Shanghai Science and Technology Committee 19411965500
6 · The paper itself

Abstract

objectivesTo investigate the diagnostic value of functional MRI to assess renal interstitial fibrosis in patients with chronic kidney disease (CKD).

methodsWe prospectively recruited 80 CKD patients who underwent renal biopsies and 16 healthy volunteers to undergo multiparametric functional MRI examinations. The Oxford MEST-C classification was used to score the interstitial fibrosis. The diagnostic performance of functional MRI to discriminate interstitial fibrosis was evaluated by calculating the area under the receiver operating characteristic (ROC) curves.

resultsIgA nephropathy (60%) accounted for the majority of pathologic type in the CKD patients. Apparent diffusion coefficient (ADC) from diffusion-weighted imaging (DWI) was correlated with interstitial fibrosis (rho = -0.73). Decreased renal blood flow (RBF) derived from arterial spin labeling (rho = -0.78) and decreased perfusion fraction (f) derived from DWI (rho = -0.70) were accompanied by increased interstitial fibrosis. The T1 value from T1 mapping correlated with interstitial fibrosis (rho = 0.67) (all p < 0.01). The areas under the ROC curve for the discrimination of ≤ 25% vs. > 25% and ≤ 50% vs. > 50% interstitial fibrosis were 0.87 (95% confidence interval, 0.78 to 0.94) and 0.93 (0.86 to 0.98) by ADC, 0.84 (0.74 to 0.91) and 0.94 (0.86 to 0.98) by f, 0.93 (0.85 to 0.98) and 0.90 (0.82 to 0.96) by RBF, and 0.91 (0.83 to 0.96) and 0.77 (0.66 to 0.85) by T1, respectively.

conclusionsFunctional MRI parameters were strongly correlated with the interstitial fibrosis of CKD. Therefore, it might a powerful tool to assess interstitial fibrosis of CKD noninvasively. KEY POINTS: • In CKD patients, the renal cortical ADC value decreased and T1 value increased significantly compared with healthy volunteers. • Functional MRI revealed significantly decreased renal perfusion in CKD patients compared with healthy volunteers. • The renal cortical ADC, f, RBF, and T1 values were strongly correlated with the interstitial fibrosis of CKD.

Indexed as

Renal Insufficiency, ChronicDiffusion Magnetic Resonance ImagingFibrosisHumansKidneyMagnetic Resonance ImagingChronic kidney diseaseDiffusion magnetic resonance imagingFibrosisMultiparametric magnetic resonance imaging

Identifiers

PMID36502460
OpenAlexW4311115349

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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.