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The main objective is to optimize MRI acquisition and image post-processing protocols in order to define the best compromise between short scan time and image quality (contrast between different tissues, spatial and temporal resolutions) high enough to accurately measure morphologic, hemodynamic and structural aortic biomarkers.
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This Magnetic Resonance imaging study of the thoracic aorta aims to: 1- enhance patient comfort during the examination, shorten appointment waiting times and overall reduce MRI cost, and 2- provide a reliable diagnosis and risk assessment of aorta-related diseases occurring in hypertension, obesity or diabetes but also throughout normal aging.
The impact of MRI acquisition innovations on the measurement of biomarkers that are extracted from image post-processing software and therein on disease characterization (normal values, severity thresholds, etc.) must be systematically reevaluated. More specifically, the investigators design image acquisition and automated image processing methods to reduce operator variability. This study will optimize thoracic aortic MRI acquisition sequences for the quantification of diagnostic-assisting biomarkers in a healthy population.
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Interventional model
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60 participants in 1 patient group
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Raluca PAIS, MD; Nadjia KACHENOURA, PhD
Data sourced from clinicaltrials.gov
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