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NCT Number: NCT07061821

Evaluation of Left Ventricular Ejection Fraction Using an Accelerated Cardiac Cine-MRI Sequence With Deep Learning-based Image Reconstructions

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

CHRU Amiens

Amiens, 80480, France

Location status: Recruiting

Location contact

Cedric Renard, MD

CONTACT

[email protected]

33+3 22 08 75 37

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patient referred for cardiac MRI as part of the assessment or follow-up of left ventricular hypertrophy
  • Age ≥ 18 years old
  • Ability of the subject to understand and express his consent
  • Affiliation to the social security scheme

Exclusion criteria

  • Severe obesity (>140 kg) preventing the patient from entering the scanner bore, which has a diameter of less than 70 cm
  • Age ≥ 18 years old
  • Person under guardianship or curators, or deprived of liberty
  • Pregnant or breastfeeding woman
  • Known allergy to gadolinium chelates
  • Claustrophobia
  • Any contraindication to MRI
  • Arrhythmia
  • Inability to hold breath for more than 10 seconds

Treatment and study plan

accelerated cardiac cine-MRI sequence

Other

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

Primary outcomes

  1. LVEF Difference between both sequences

    Time frame: day 1

    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.

Secondary outcomes

  1. difference of end-diastolic volume of the left ventricle between both sequences

    Time frame: day 1

    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.

  2. difference of end-systolic volume of the left ventricle between both sequences

    Time frame: day 1

    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.

  3. Differnce of measurement of the global longitudinal strain of the left ventricle between both sequences

    Time frame: day 1

    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.

  4. Difference of the left ventricular mass between both sequences

    Time frame: day 1

    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.

  5. diffrence of the maximal thickness of the left ventricle between both sequences

    Time frame: day 1

    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.

  6. Difference of the acquisition time between both sequences

    Time frame: day 1

    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

Study contacts

Contact information is provided by the study sponsor or research team.

Cédric Renard, MD

CONTACT

[email protected]

33+3 22 08 75 37

Sponsors and collaborators

Lead sponsor

Centre Hospitalier Universitaire, Amiens

Other

Registry information

Official study title

Evaluation of Left Ventricular Ejection Fraction Using an Accelerated Cardiac Cine-MRI Sequence With Deep Learning-based Image Reconstructions Compared to the Reference Cine-MRI Sequence in the Assessment or Follow-up of Left Ventricular Hypertrophy

Acronym: HVGLD

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Jul 11, 2025
Registry last updated
Jan 16, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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