Imaging for Predicting, Detecting, and Managing Complications After Transcatheter Aortic Valve Replacement

Autor: Stephen D. Clements, Norihiko Kamioka, Frank Corrigan, Sharon Howell, John Chen, John Lisko, Stamatios Lerakis, Patricia Keegan, Jose F. Condado, Vasilis Babaliaros, Patrick Gleason
Rok vydání: 2019
Předmět:
Models
Anatomic

Patient-Specific Modeling
medicine.medical_specialty
Transcatheter aortic
medicine.medical_treatment
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
030204 cardiovascular system & hematology
Appropriate use
Multimodal Imaging
030218 nuclear medicine & medical imaging
Transcatheter Aortic Valve Replacement
03 medical and health sciences
0302 clinical medicine
Postoperative Cognitive Complications
Valve replacement
Predictive Value of Tests
medicine
Humans
Radiology
Nuclear Medicine and imaging

Paravalvular leak
business.industry
Models
Cardiovascular

Aortic Valve Stenosis
Magnetic Resonance Imaging
Cardiac Imaging Techniques
Treatment Outcome
Echocardiography
Aortic Valve
Printing
Three-Dimensional

Radiology
Tomography
X-Ray Computed

Cardiology and Cardiovascular Medicine
business
Zdroj: JACC: Cardiovascular Imaging. 12:904-920
ISSN: 1936-878X
DOI: 10.1016/j.jcmg.2018.07.036
Popis: The management of patients with valvular heart disease is increasingly reliant on multimodal cardiac imaging. In patients with severe aortic stenosis considered for transcatheter aortic valve replacement, careful pre-procedural planning with multimodal imaging is necessary to avoid and prevent complications during the procedure. During or immediately after the procedure, rapid echocardiographic assessment is important to assess the new valve's function and manage major complications. Echocardiography, cardiac computed tomography, and cardiac magnetic resonance imaging all share important roles in the post-procedural evaluation of abnormal transcatheter valve function. This review discusses the use of multimodal imaging for predicting, detecting, and managing complications after TAVR.
Databáze: OpenAIRE