ArticleRenal failure2025
Noninvasive grading of renal interstitial fibrosis and prediction of annual renal function loss in chronic kidney disease: the optimal solution of seven MR diffusion models.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Navigating the diagnostic 'gray zone': prospective evaluation of an integrated MRI-Biomarker model for renal allograft triage.Annals of medicine · 2026Article
- Machine Learning with Multiparametric MRI and Clinical Biomarkers for Noninvasive Renal Interstitial Fibrosis Staging.Bioengineering (Basel, Switzerland) · 2026Article
- Precise zonal diagnosis: multi-b-value DWI model reveals differential predictors of clinically significant prostate cancer in peripheral and transition zones.Insights into imaging · 2026Article
- Assessment of renal interstitial fibrosis in glomerulonephritis using compartmental and non-compartmental diffusion magnetic resonance imaging.La Radiologia medica · 2026Article
- Article
- Quantitative Parameters Derived Using the Biexponential and Stretched Exponential Models for the Detection of Early Renal Impairment in Chronic Kidney Disease.Current medical imaging · 2025Article
- Non-Invasive Diagnosis and Monitoring of Diabetic Nephropathy: Assessment of Renal Function and Fibrosis by Diffusion Kurtosis Imaging.International journal of general medicine · 2025Article
- Comparative effectiveness and pharmacological fingerprints of indobufen versus rivaroxaban in patients with chronic kidney disease: a single-center, real-world study.Frontiers in pharmacology · 2025Article
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Authors and funding
11 authors.
Funding
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Abstract
objectivesTo explore the optimal choice of seven diffusion models (DWI, IVIM, DKI, CTRW, FROC, SEM, and sADC) to assess renal interstitial fibrosis (IF) and annual renal function loss in chronic kidney disease (CKD).
methodsOne hundred thirty-three CKD patients and 30 controls underwent multi-b diffusion sequence scans. Patients were divided into the training, testing, and temporal external validation sets. Least absolute shrinkage and selection operator regression and logistic regression were used to select the optimal metrics for distinguishing the mild from moderate-to-severe IF. The performances of imaging, clinical, and combined models were compared. A linear mixed-effects model calculated estimated glomerular filtration rate (eGFR) slope, and multiple linear regression assessed the association between metrics and 1-3-year eGFR slopes.
resultsThe training, testing, and temporal external validation sets had 75, 30, and 28 patients, respectively. The combined model incorporating cortical f
conclusionsA combined model of cortical f
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