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Chronic kidney disease (CKD) is a global health concern because more than 10% of the world's population have it, its prevalence is increasing, and CKD is an important contributor to morbidity and mortality for this population.
The majority of the people with CKD aren't aware and there are not available tools for early CKD detection and for an accurate prediction on these patients. Many CKD patients exhibit progressive renal dysfunction, demonstrating a failure of current, non-specific therapeutic strategies. Better methods are urgently needed for i) early diagnosis of CKD, and prediction of its progression for improved stratification of patients and better targeting of current treatments; and ii) to directly assess structural and functional responses of the kidney to new therapies and identify those patients who respond.
Over the past decade, renal Magnetic Resonance Imaging (MRI) has emerged as a promising technique for improved understanding and characterisation of renal pathophysiology. Compared to histopathology, MRI is non-invasive and avoids sampling bias by characterising the entire kidney with high spatial resolution.
In spite of a number of single centre studies showing renal MRI feasibility and potential to address a number of key clinical questions, current methodological differences across studies hinder reliable comparisons of the results, which can only be regarded as preliminary. Standardization of acquisition and processing protocols across centres is therefore needed, and this will also lead to the possibility to provide preliminary data of the multiparametric renal MRI clinical validity and utility.
The purpose of this study is to standardize, assess the feasibility and provide preliminary evidence of clinical validity and utility of the multiparametric renal MRI.
To reach this goal two groups of subjects are involved:
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Inclusion criteria
GROUP 1:
GROUP 2:
Exclusion criteria
GROUP 1 and 2
Previous enrollment in the present study
Contraindications to MRI including due to:
Only GROUP 2:
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140 participants in 2 patient groups
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Central trial contact
Anna Caroli; Michela Bozzetto
Data sourced from clinicaltrials.gov
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