ArticleInsights into imaging2024
Assessing renal interstitial fibrosis using compartmental, non-compartmental, and model-free diffusion MRI approaches.
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.
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Who cites it
11 citing papers in PubMed.
- Machine Learning with Multiparametric MRI and Clinical Biomarkers for Noninvasive Renal Interstitial Fibrosis Staging.Bioengineering (Basel, Switzerland) · 2026Article
- Assessment of renal interstitial fibrosis in glomerulonephritis using compartmental and non-compartmental diffusion magnetic resonance imaging.La Radiologia medica · 2026Article
- Quantitative MRI of pediatric chronic kidney disease and renal fibrosis: potential non-invasive clinical biomarkers.Pediatric radiology · 2026Review
- Assessing kidney fibrosis via multiparametric MRI in native kidney and allografts.Clinical kidney journal · 2026Article
- Dual-center validation of a multi-sequence MRI radiomics nomogram for noninvasive assessment of renal fibrosis in chronic kidney disease.BMC medical imaging · 2026Article
- Diffusion kurtosis imaging for detecting renal functional changes in glomerulonephritis: a longitudinal experimental study.BMC medical imaging · 2026Article
- Non-invasive assessment techniques for renal fibrosis: advances and perspectives.Renal failure · 2025Review
- 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.Renal failure · 2025Article
- The value of superb microvascular imaging in the noninvasive assessment of renal fibrosis: a comparative study with conventional ultrasound techniques.Renal failure · 2025Article
- Detecting early kidney allograft fibrosis with multi-b-value spectral diffusion MRI.Scientific reports · 2025Article
- Development and validation of intravoxel incoherent motion diffusion weighted imaging-based model for preoperative distinguishing nuclear grade and survival of clear cell renal cell carcinoma complicated with venous tumor thrombus.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
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11 authors.
Funding
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.
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