Published July 2019
| Version v1
Journal article
Automated plaque analysis for the prognostication of major adverse cardiac events
Creators
- 1. University of Groningen, University Medical Center Groningen, Center for Medical Imaging, Groningen (Netherlands)
- 2. Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (United States)
- 3. Elucid Bioimaging Inc., Wenham, MA (United States)
- 4. Stat Tenacity, Ann Arbor, MI (United States)
- 5. University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen (Netherlands)
Description
Highlights: • Morphological and functional plaque characteristics can aid in prognostication. • Quantitative CCTA features show discriminatory power to predict cardiac events. • Automated model-based analysis aids quantitative CCTA plaque analysis. - Abstract: Objective: The purpose of this study is to assess the value of an automated model-based plaque characterization tool for the prediction of major adverse cardiac events (MACE).
Availability note (English)
Available from http://dx.doi.org/10.1016/j.ejrad.2019.04.013Additional details
Identifiers
- DOI
- 10.1016/j.ejrad.2019.04.013;
- PII
- S0720048X19301470;
Publishing Information
- Journal Title
- European Journal of Radiology
- Journal Volume
- 116
- Journal Page Range
- p. 76-83
- ISSN
- 0720-048X
- CODEN
- EJRADR
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51013575
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- CARDIOVASCULAR DISEASES; CARDIOVASCULAR SYSTEM; COMPUTERIZED TOMOGRAPHY; CORONARIES; FORECASTING
- Descriptors DEC
- ARTERIES; BLOOD VESSELS; BODY; CARDIOVASCULAR SYSTEM; DIAGNOSTIC TECHNIQUES; DISEASES; ORGANS; TOMOGRAPHY
Optional Information
- Notes
- Published by Elsevier B.V.