Flow inefficiencies in non-obstructive HCM revealed by kinetic energy and hemodynamic forces on 4D-flow CMR

K Pola1,2, Z Ashkir1, S Myerson1

  • 1University of Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.

Insights

Four-dimensional flow cardiovascular magnetic resonance (4D-flow CMR) reveals subtle hemodynamic changes in non-obstructive hypertrophic cardiomyopathy (HCM) not seen on echocardiography. This advanced imaging detects inefficiencies, aiding in monitoring and treatment development for HCM patients.

Area of Science:

  • Cardiovascular Imaging
  • Cardiology
  • Biomedical Engineering

Background:

  • Non-obstructive hypertrophic cardiomyopathy (HCM) presents myocardial changes potentially leading to flow inefficiencies undetectable by standard echocardiography.
  • Accurate assessment of hemodynamic alterations is crucial for managing non-obstructive HCM and evaluating therapeutic interventions.

Purpose of the Study:

  • To determine if left ventricular (LV) kinetic energy (KE) and hemodynamic forces (HDF) measured by 4D-flow CMR offer more sensitive indicators of flow abnormalities in non-obstructive HCM.
  • To compare hemodynamic parameters between patients with non-obstructive HCM (phenotype positive and negative) and healthy controls.

Main Methods:

  • Ninety participants (70 with non-obstructive HCM, 20 controls) underwent 4D-flow CMR.
  • LV KE and HDF were calculated from 4D-flow CMR data.
  • Stroke work was computed non-invasively; patients were classified based on maximum wall thickness or genetic markers.

Main Results:

  • Patients with non-obstructive HCM showed significantly higher systolic KE and late diastolic KE compared to controls.
  • Increased systolic KE and HDF ratio correlated with maximum wall thickness, indicating greater hemodynamic strain.
  • Despite comparable standard echocardiographic and CMR measures, HCM patients exhibited elevated stroke work and altered kinetic energy patterns.

Conclusions:

  • 4D-flow CMR detects significant hemodynamic inefficiencies in non-obstructive HCM, even when standard imaging shows normal flow velocities.
  • LV KE and HDF derived from 4D-flow CMR serve as sensitive biomarkers for assessing disease severity and progression in non-obstructive HCM.
  • These findings support the utility of 4D-flow CMR in clinical trials and surveillance for non-obstructive HCM.
Abstract

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