Cardiac Imaging in Transcatheter Treatment of Valvular Heart Disease

Given the increase in catheter-based techniques for the treatment of structural heart disease, this review highlights the key role of multi-modality imaging for preprocedural planning, intraprocedural monitoring, and postprocedural follow-up for these cases.

Course ID: Q00704 Category:
Modalities: , ,


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Targeted CE per ARRT’s Discipline, Category, and Subcategory classification:
[Note: Discipline-specific Targeted CE credits may be less than the total Category A credits approved for this course.]

Cardiac-Interventional Radiography: 1.75
Procedures: 1.75
Interventional Procedures: 1.75

Computed Tomography: 1.00
Procedures: 1.00
Neck and Chest: 1.00

Registered Radiologist Assistant: 1.75
Procedures: 1.75
Thoracic Section: 1.75


  1. Introduction
  2. Transcatheter Aortic Valve Replacement
    1. Annulus
    2. Aortic Root
    3. Aortic Valve Morphologic Characterisitcs
    4. Calcium Distribution
    5. Additional Anatomic Measurements for TAVR
    6. Catheter Access Route
  3. Transcatheter Mitral Valve Repair
  4. Transcatheter Mitral Valve Replacement
    1. Mitral Valve Evaluation before Transcatheter Replacement
    2. Neo-LVOT Characterization and Risk of LVOT Obstruction
  5. Transcatheter Tricuspid Valve Interventions
  6. Novel Cardiovascular Imaging Techniques
  7. Conclusion


Upon completion of this course, students will:

  1. be familiar with the key roles for multimodality imaging in the diagnosis and treatment of both coronary and structural heart disease
  2. be familiar with the commonality of aortic valve stenosis
  3. recognize the imaging modality of choice for preprocedural TAVR planning
  4. recognize the measured parameters at CT angiography at the level of the aortic root
  5. be familiar with the imaging-derived predictive factor for annular rupture in TAVR
  6. be familiar with the approved transcatheter aortic replacement devices
  7. be familiar with the measurements associated with a higher risk of coronary artery occlusion
  8. identify the first diagnostic test obtained in the assessment of valvular disease
  9. be familiar with the classifying factors for bicuspid morphology
  10. be familiar with the clinical trials conducted on TAVR outcomes
  11. understand the benefits of using optimal fluoroscopic projection while performing TAVR
  12. identify the artery typically used for performing TAVR
  13. identify the CE-approved transcatheter mitral valve repair devices
  14. recognize the FDA-approved transcatheter mitral valve repair device
  15. be familiar with the indirect devices used for mitral valve repair
  16. be familiar with the utilization of Cardioband for mitral valve repair
  17. identify the views necessary for preprocedural cardiac CT assessment of the mitral valve apparatus for planning percutaneous edge-to-edge repair
  18. be familiar with the use of MitraClip
  19. identify the CT artifacts in the setting of annular calcification
  20. be familiar with the acronym of TMVR
  21. be familiar with the D-shape annulus image used for TMVR
  22. be familiar with the scoring system developed by Guerrero et al
  23. recognize the risks associated with LVOT obstruction
  24. be familiar with the projected area measurements associated with high risk LVOT obstruction
  25. be familiar with the use of transthoracic echocardiography for repair or replacement of the tricuspid valve
  26. be familiar with the criteria for assessing tricuspid regurgitation
  27. identify valuable CT information used for planning tricuspid valve interventions
  28. be familiar with the predicted anchor position in CT imaging
  29. be familiar with the dynamic imaging factors for measuring the tricuspid annulus
  30. be familiar with advanced visualization techniques for imaging structural heart disease
  31. recognize the main imaging modalities used for assessments for structural heart interventions
  32. be familiar with the characteristics of virtual reality
  33. be familiar with the potential advantages of 4D imaging
  34. be familiar with the algorithms that will potentially improve accuracy and reliability of image-based diagnosis
  35. be familiar with the use of mixed reality imaging