Introduction: Quantitative assessment of plaque burden may enable risk prognostication beyond the
paradigm of % stenosis in current guidelines, but is uncommonly utilized in clinical
practice. Atherosclerosis Imaging-Quantitative Computed Tomography (AI-QCT) through
artificial intelligence may enable rapid, accurate assessment, but has not been compared
to standard visual methods of plaque assessment.
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
Full access to the journal is a member benefit for SCCT Members, Login via the SCCT website to access all journal content.
Subscribe:
Subscribe to Journal of Cardiovascular Computed TomographyAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
Article info
Identification
Copyright
© 2022 Published by Elsevier Inc.
