ClinicalTrials.gov
public full text
Public Domain
Prospective Registry of Patients Undergoing Cardiac CT With NAEOTOM Alpha PCD-CT Before TAVI Procedure
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.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Assessment of CT-FFR in Patients With CCS: A Prospective Multicenter Cohort Study#1280707
- PET MYOCARDIAL Blood Flow Comparison to Coronary CTA and CT-FFR#967687
- Combined Use of Coronary MDCTA, Coronary Doppler Ultrasonography and PET Perfusion in Diagnosing Coronary Artery Disease#830415
- Detection of Proximal Coronary Artery Disease in the Work-up for Transcatheter Aortic Valve Implantation Using CTA (From the DEPICT CTA Database)#1073917
- Non-invasive and Invasive Assessment of Coronary Artery Disease#828645
Record · ID 1364068
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive