4.7 Article

Value of multiparametric magnetic resonance imaging for evaluating chronic kidney disease and renal fibrosis

Journal

EUROPEAN RADIOLOGY
Volume 33, Issue 8, Pages 5211-5221

Publisher

SPRINGER
DOI: 10.1007/s00330-023-09674-1

Keywords

Multiparametric magnetic resonance imaging; Kidney; Fibrosis; Support vector machine

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This study aimed to identify optimized MRI markers for evaluating chronic kidney disease (CKD) and renal interstitial fibrosis (IF). The results showed that multiparametric MRI combining T1 mapping and diffusion imaging can be clinically useful for non-invasive assessment of CKD and IF.
ObjectivesTo identify optimized MRI markers for evaluating chronic kidney disease (CKD) and renal interstitial fibrosis (IF).Materials and methodsThis prospective study included 43 patients with CKD and 20 controls. The CKD group was divided into mild and moderate-to-severe subgroups based on pathological results. Scanned sequences included T1 mapping, R2* mapping, intravoxel incoherent motion imaging, and diffusion-weighted imaging. One-way analyses of variance were used to compare MRI parameters among groups. Correlations of MRI parameters with estimated glomerular filtration rate (eGFR) and renal IF were analyzed using age as covariates. The support vector machine (SVM) model was used to evaluate the diagnostic efficacy of multiparametric MRI.ResultsCompared to control values, renal cortical apparent diffusion coefficient (cADC), medullary ADC (mADC), cortical pure diffusion coefficient (cDt), medullary Dt (mDt), cortical shifted apparent diffusion coefficient (csADC), and medullary sADC (msADC) values gradually decreased in the mild and moderate-to-severe groups, while cortical T1 (cT1) and medullary T1 (mT1) values gradually increased. Values of cADC, mADC, cDt, mDt, cT1, mT1, csADC, and msADC were significantly associated with eGFR and IF (p < 0.001). The SVM model indicated that multiparametric MRI combining cT1 and csADC can distinguish patients with CKD from controls with high accuracy (0.84), sensitivity (0.70), and specificity (0.92) (AUC: 0.96). Multiparametric MRI combining cT1 and cADC exhibited high accuracy (0.91), sensitivity (0.95), and specificity (0.81) for evaluating IF severity (AUC: 0.96).ConclusionMultiparametric MRI combining T1 mapping and diffusion imaging may be of clinical utility in non-invasive assessment of CKD and IF.

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