Evidence map›Paper›PMID 39373771›Full record

ArticleAbdominal radiology (New York)2025

Noninvasive assessment of single kidney glomerular filtration rate using multiple diffusion weighted imaging models.

Jianbing Zhu, Meng Gan, Yi Yang, Hongquan Pang, Zhengyang Zhu, Zujun Hou, Guocun Hou, Cong Wang

Abstract read
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Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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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

2 citing papers in PubMed.

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4 · The record

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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

8 authors.

Jianbing Zhu *Department of Radiology, Affiliated Hospital of Medical School, Suzhou Hospital, Suzhou Research Center of Medical School, Nanjing University, Suzhou, 215153, China.
Meng Gan *School of Computer Engineering, Suzhou Vocational University, Suzhou, 215104, China.
Yi YangDepartment of Nuclear Medicine, Affiliated Hospital of Medical School, Suzhou Hospital, Nanjing University, Suzhou, 215153, China.
Hongquan PangDepartment of Radiology, Affiliated Hospital of Medical School, Suzhou Hospital, Suzhou Research Center of Medical School, Nanjing University, Suzhou, 215153, China.
Zhengyang ZhuDepartment of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210093, China.
Zujun HouThe Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
Guocun HouDepartment of Nephrology, Affiliated Hospital of Medical School, Suzhou Hospital, Nanjing University, Suzhou, 215153, China. houguocun2007@163.com.
Cong WangSchool of Electronics and Information Engineering, Suzhou Vocational University, Suzhou, 215104, China. wangc0112@163.com.

Funding

National Natural Science Foundation of China 61927801Natural Science Foundation of Shandong Province of China ZR2021QF068Natural Science Foundation of Shandong Province of China ZR2021QF105NHC Key Laboratory of Nuclear Technology Medical Transformation (Mianyang Central Hospital) 2022HYX0009Suzhou Science & Technology Projects SKY2021031
6 · The paper itself

Abstract

purposeThis study aimed to assess single kidney glomerular filtration rate (GFR) using various diffusion weighted imaging (DWI) models.

methodsWe reviewed adult patients with kidney diseases who underwent magnetic resonance imaging (MRI) examination from February 2021 to December 2023. DWI with 13 b-values was performed using 3.0-T scanners. Diffusion parameters were calculated with multi-slice ROIs positioned in renal parenchyma using four DWI models, including monoexponential model (MEM), diffusion kurtosis imaging (DKI), stretched exponential model (SEM), and intravoxel incoherent motion (IVIM). The split GFRs were measured by 99mTc-DTPA scintigraphy using Gates' method. Four different regression algorithms including the linear regression, regression tree, Gaussian regression and support vector machine (SVM) regression were employed to predict the GFR value based on different diffusion parameters. The leave-one-out cross validation was used to evaluate prediction ability of different models, and the performance of each model was quantified using the root mean square error (RMSE) and correlation coefficient.

resultsFifteen (male/female, 10/5; age, 41.60±10.83 years) patients were included in this study. Among the four DWI models, the IVIM parameters with SVM regression model achieved the best performance with 0.184 RMSE and 0.789 correlation coefficient (

conclusionThe DWI characteristics are able to serve as imaging biomarkers for assessing the function of single kidney. The integration of DWI into clinical practice could contribute to the advancement of non-invasive diagnostic methodologies.

Indexed as

Diffusion Magnetic Resonance ImagingGlomerular Filtration RateAdultAgedAlgorithmsFemaleHumansKidneyKidney DiseasesMaleMiddle AgedRetrospective StudiesDiffusion weighted imagingGlomerular filtration rateKidneyMagnetic resonance imagingRegression

Identifiers

PMID39373771

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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.