Evidence map›Paper›PMID 40717819›Full record

ArticleInternational journal of general medicine2025

Non-Invasive Diagnosis and Monitoring of Diabetic Nephropathy: Assessment of Renal Function and Fibrosis by Diffusion Kurtosis Imaging.

Jian-Lei Yuan, Li-Ao Hu, Xin-Yu Wang, Zhao-Yu Shi, Ting Chen, Xin-Zhong Huang, Yu Wu, Qiu-Jie Cai, Zi-Xu Yang, Xin-Yi Chen and 2 more

Abstract read
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Article in International journal of general medicine, 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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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

12 authors.

Jian-Lei Yuan *Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.
Li-Ao Hu *Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.
Xin-Yu Wang *Medical School of Nantong University, Nantong, 226001, People's Republic of China.
Zhao-Yu ShiDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.
Ting ChenDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.
Xin-Zhong HuangDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.
Yu WuDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.
Qiu-Jie CaiDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.
Zi-Xu YangDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.
Xin-Yi ChenNanjing Medical University School of Basic Medical Sciences, Nanjing, 211166, People's Republic of China.
Li YuanDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.
Yuan ZhangDepartment of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This monocentric, cross-sectional study explored the use of diffusion kurtosis imaging (DKI) as a non-invasive means to diagnose and monitor diabetic nephropathy (DN). Methods: Patients with diabetes mellitus (DM, n = 11), mild DN (N = 14), and severe DN (n = 29) were recruited. Eight DKI metrics (MK, MD, Da, Dr, Ka, Kr, FA, FAk) were determined from the imaging results, and their correlations with routine laboratory results were analyzed. The receiver operating characteristic (ROC) curves were plotted, and the diagnostic value of the DKI metrics was analyzed. In addition, renal biopsy was carried out for ten DN patients who had appropriate indications. Their interstitial fibrosis and tubular atrophy (IFTA) score and the fibrosis ratio of cortical area (F%) were analyzed in combination with the DKI metrics. Results: The progression of DN, reflected by the estimated glomerular filtration rate (eGFR), was accompanied by rising mean kurtosis (MK) and axial kurtosis (Ka) along with decreasing mean diffusivity (MD), axial diffusivity (Da), and radial diffusivity (Dr). Whereas MK was correlated negatively with hemoglobin (Hb) and eGFR and positively with neutrophil gelatinase-associated lipocalin (NGAL), cystatin C (CysC), and serum creatinine (Scr), MD, Da, and Dr were positively correlated with Hb and eGFR and negatively correlated with CysC and Scr. For the biopsied patients, MK was positively correlated with IFTA, and fractional anisotropy of kurtosis (FAk) was negatively correlated with F% and IFTA. Among the DKI indicators, MK had the highest AUC (0.922, 95% CI: 0.843-1.000). Conclusion: The noninvasive monitoring of DN was feasible with DKI, and MK could indicate the renal function and fibrosis of DN patients. Changes in MK may also serve as a biomarker to assess treatment response (eg, microstructural improvement) after therapeutic interventions (eg, drug therapy for diabetic nephropathy, anti-fibrotic therapy).

Indexed as

diabetes mellitusdiabetic nephropathydiffusion kurtosis imagingmagnetic resonance imagingmean kurtosis

Identifiers

PMID40717819
PMCPMC12297023

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