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  • Title: Magnetic resonance imaging 3T and total fibrotic volume in autosomal dominant polycystic kidney disease.
    Author: Lai S, Mastroluca D, Letizia C, Petramala L, Perrotta AM, DiGaeta A, Ferrigno L, Ciccariello M, D'Angelo AR, Panebianco V.
    Journal: Intern Med J; 2018 Dec; 48(12):1505-1513. PubMed ID: 30043487.
    Abstract:
    BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is the most common renal hereditary disorder. Several authors have attempted to identify a kidney damage marker for predicting the prognosis and the effectiveness of therapy in ADPKD. AIM: To identify and quantify ADPKD, through a novel magnetic resonance imaging protocol with 3 Tesla (MRI 3Tesla), the presence of parenchymal fibrotic tissue at early stage of disease, able to correlate the glomerular filtrate and to predict the loss of the renal function. METHODS: A total of 15 ADPKD patients had undergone renal testing on MRI 3Tesla at T0 and were revaluated after follow up (T1) of 5 years. We have evaluated renal function, plasma aldosterone concentration (PAC), insulin resistance and surrogate markers of atherosclerosis (carotid intima-media thickness, ankle/brachial index (ABI) and left ventricular mass index (LVMI). RESULTS: Our study showed a significant negative correlation between total kidney volume (TKV) and estimated glomerular filtration rate (eGFR) during observation (P < 0.02). We showed a negative correlation between eGFR with total fibrotic volume (TFV) (P < 0.04) and total perfusion volume/TKV (P < 0.02). Moreover TFV was correlated positively with PAC (P < 0.05), insulin values (P < 0.05), ABI (P < 0.05) and LVMI (P < 0.01). CONCLUSION: The MRI 3Tesla, despite the high costs, could be considered as a useful and non-invasive method in the evaluation of fibrotic tissue and progression of the disease in ADPKD patients. Further clinical trials on larger groups are due to confirm the results of this pilot study, suggesting that MRI 3Tesla can be useful to evaluate the effectiveness of new therapeutic strategies.
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