Pitfalls and solutions in the imaging follow-up of valvular heart disease devices

Julien Ternacle1, Pierre Yves Turgeon2, Rebecca T Hahn3

  • 1Unité Médico-Chirurgicale des Valvulopathies, Hôpital Haut-Leveque, CHU Bordeaux, Pessac, France.

Insights

Doppler echocardiography faces challenges evaluating valvular heart devices. A multimodality imaging approach is crucial for diagnosing prosthetic valve dysfunction (PVD) and guiding treatment.

Area of Science:

  • Cardiology
  • Medical Imaging

Background:

  • Doppler echocardiography is the standard for assessing valvular heart devices but presents unique imaging and flow dynamic challenges.
  • Prosthetic valve dysfunction (PVD) diagnosis and management require careful evaluation of device function and patient hemodynamics.

Purpose of the Study:

  • To highlight the limitations of echocardiography in evaluating valvular heart devices.
  • To recommend a multimodality imaging strategy for diagnosing and characterizing PVD.
  • To provide algorithms for assessing complications after transcatheter edge-to-edge repair.

Main Methods:

  • Review of current literature on echocardiography and valvular heart devices.
  • Discussion of imaging challenges and pitfalls.
  • Integration of cardiac computed tomography (CT), magnetic resonance, and positron emission tomography-CT into diagnostic algorithms.
  • Proposal of algorithms for assessing residual regurgitation and iatrogenic stenosis.

Main Results:

  • Echocardiography's limitations in assessing valvular heart devices necessitate complementary imaging modalities.
  • Multimodality imaging (CT, MRI, PET-CT) aids in confirming PVD, assessing severity, and determining etiology.
  • Distinguishing structural from non-structural PVD relies on leaflet morphology, mobility, and hemodynamic changes.
  • Algorithms can quantify residual regurgitation and iatrogenic stenosis post-transcatheter repair.

Conclusions:

  • A multimodality imaging approach is essential for comprehensive evaluation of valvular heart devices.
  • Accurate diagnosis of PVD and its mechanism requires integrating various imaging techniques.
  • Proposed algorithms assist in managing complications and optimizing patient care for valvular heart disease.

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