Outcomes-Based CV Imaging Research Endpoints and Trial Design
Author(s) -
Christopher B. Fordyce,
Pamela S. Douglas
Publication year - 2017
Publication title -
jacc. cardiovascular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.79
H-Index - 120
eISSN - 1936-878X
pISSN - 1876-7591
DOI - 10.1016/j.jcmg.2017.01.010
Subject(s) - modalities , medicine , medical physics , intensive care medicine , medical imaging , randomized controlled trial , clinical trial , quality of life (healthcare) , radiology , pathology , social science , nursing , sociology
The categories and quality of evidence documenting the value of noninvasive cardiovascular imaging have evolved substantially over the last several decades. From an initial emphasis on the diagnostic accuracy of various imaging modalities, cardiovascular imaging has matured into an outcomes-based field that now provides evidence on adverse events, safety, cost, and patient quality-of-life endpoints, and does so in the setting of large randomized trials. This review aims to highlight types of outcomes endpoints, including updating the hierarchy of evidence for diagnostic imaging as first proposed by Fryback and Thornbury, and critically reviewing their application in the current cardiovascular imaging evidence base. We describe the range of data categories generated to date for the various imaging modalities, and indicate how this provides insights into contemporary study design and future directions in cardiovascular imaging outcomes research.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom