The clinical and demographic characteristics of patients undergoing transcatheter aortic valve implantation (TAVI) pose unique challenges for coronary computed tomography (CT) imaging, as this patient population is mainly composed of elderly, frail individuals with severe aortic stenosis, multiple comorbidities, high prevalence of heavily calcified coronary artery disease (CAD) and revascularized coronary arteries. Such vulnerable patients could benefit from a more precise assessment and characterization of their CAD with ultra-high resolution (UHR) photon-counting detector (PCD) CT that would potentially avoid the need for pre-implantation invasive coronary angiography (ICA). This international multicenter prospective registry study aims to investigate the feasibility and diagnostic accuracy of PCD-CT in the assessment of CAD in the high-risk population of patients undergoing TAVI, as compared to ICA.
The clinical and demographic characteristics of patients undergoing transcatheter aortic valve implantation (TAVI) pose unique challenges for coronary computed tomography (CT) imaging, as this patient population is mainly composed of elderly, frail individuals with severe aortic stenosis, multiple comorbidities, high prevalence of heavily calcified coronary artery disease (CAD) and revascularized coronary arteries. Such vulnerable patients could benefit from a more precise assessment and characterization of their CAD with ultra-high resolution (UHR) photon-counting detector (PCD) CT that would potentially avoid the need for pre-implantation invasive coronary angiography (ICA). This international multicenter prospective registry study aims to investigate the feasibility and diagnostic accuracy of PCD-CT in the assessment of CAD in the high-risk population of patients undergoing TAVI, as compared to ICA.
Prospective Registry of Patients Undergoing Cardiac CT With NAEOTOM Alpha PCD-CT Before TAVI Procedure
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Medical University of South Carolina, Charleston, South Carolina, United States, 29425
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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18 Years to
ALL
No
Semmelweis University,
Pál Maurovich-Horvat, MD, PhD, DSc, PRINCIPAL_INVESTIGATOR, Semmelweis University
2030-05-30