Left ventricular hypertrophy (LVH) is a common condition that may result from hypertension, hypertrophic cardiomyopathy, aortic valve stenosis, or certain metabolic disorders. Cardiac imaging is essential for diagnosis, prognostic assessment, and quantification of cardiac function. While transthoracic echocardiography remains widely used, it is limited by acoustic window dependence and inter-observer variability. Cardiovascular Magnetic Resonance (CMR) imaging currently serves as the reference standard for measuring left ventricular ejection fraction (LVEF), cardiac volumes, and tissue characterization. However, conventional cine-CMR sequences require repeated breath-holds, which are often challenging for elderly or dyspneic patients, generating respiratory motion artifacts that compromise image quality. Accelerated cine-CMR sequences with deep learning-based image reconstructions offer a promising alternative by significantly reducing acquisition time while preserving image quality. This study aims to evaluate whether these accelerated cine-CMR sequences provide LVEF measurements concordant with conventional cine-CMR sequences, with potential to improve patient comfort and reduce examination time.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
61
Addition of an accelerated cardiac cine-MRI sequence with deep learning-based image reconstruction to the standard cardiac MRI protocol, performed during the same session
CHRU Amiens
Amiens, France
RECRUITINGLVEF Difference between both sequences
Value of the difference between the measurement of left ventricular ejection fraction (LVEF) obtained using the accelerated cardiac cine-MRI sequence with Deep Learning-based image reconstruction compared to the conventional cine-MRI sequence.
Time frame: day 1
difference of end-diastolic volume of the left ventricle between both sequences
Value of the difference between the measurements of end-diastolic volumes of the left ventricle obtained using the accelerated cardiac cine-MRI sequence with Deep Learning-based image reconstruction compared to the conventional cine-MRI sequence.
Time frame: day 1
difference of end-systolic volume of the left ventricle between both sequences
Value of the difference between the measurements of end-systolic volumes of the left ventricle obtained using the accelerated cardiac cine-MRI sequence with Deep Learning-based image reconstruction compared to the conventional cine-MRI sequence.
Time frame: day 1
Differnce of measurement of the global longitudinal strain of the left ventricle between both sequences
Value of the difference between the measurement of global longitudinal strain of the left ventricle obtained using the accelerated cardiac cine-MRI sequence with Deep Learning-based image reconstruction compared to the conventional cine-MRI sequence.
Time frame: day 1
Difference of the left ventricular mass between both sequences
Value of the difference between the measurement of left ventricular mass obtained using the accelerated cardiac cine-MRI sequence with Deep Learning-based image reconstruction compared to the conventional cine-MRI sequence.
Time frame: day 1
diffrence of the maximal thickness of the left ventricle between both sequences
Value of the difference between the measurement of maximal thickness of the left ventricle obtained using the accelerated cardiac cine-MRI sequence with Deep Learning-based image reconstruction compared to the conventional cine-MRI sequence.
Time frame: day 1
Difference of the acquisition time between both sequences
Value of the difference in acquisition time between the accelerated cardiac cine-MRI sequence with Deep Learning-based image reconstruction and the conventional cine-MRI sequence
Time frame: day 1
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