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Abstract #3121

The value of multi-parametric magnetic resonance imaging  in evaluating renal fibrosis

Chenchen Hua1, Lu Qiu2, Leting Zhou3, Yi Zhuang2, Bin Xu1, Liang Wang3, Min Xu4, and Haoxiang Jiang2
1Diagnostic Radiology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China, 2Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi, China, 3Nephrology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China, 4Human Anatomy, Medical School, Southeast University, Nanjing, China

Synopsis

Chronic kidney disease (CKD) is chronic progressive renal parenchymal damage caused by multiple factors. Evaluation of the degree of renal interstitial fibrosis (IF) is of great importance in treatment and prognosis prediction. Herein, we use multi-parametric magnetic resonance imaging (mpMRI) to assess renal IF noninvasively with intention to identify the optimal MRI biomarkers for clinical application. Our results show that multi-parameter prediction model using cortical longitudinal relaxation time (cT1) and cortical true diffusion coefficient (cDt) can effectively assess the degree of renal IF and support clinical diagnosis, treatment strategy and risk stratification in CKD patients.

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