Identification of Coronary Plaque Sub-Types Using Virtual Histology Intravascular Ultrasound Is Affected by Inter-Observer Variability and Differences in Plaque Definitions
Author(s) -
Daniel R. Obaid,
Patrick A. Calvert,
Duncan McNab,
Nick E.J. West,
Martin R. Bennett
Publication year - 2011
Publication title -
circulation cardiovascular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.584
H-Index - 99
eISSN - 1942-0080
pISSN - 1941-9651
DOI - 10.1161/circimaging.111.965442
Subject(s) - intravascular ultrasound , medicine , vulnerable plaque , radiology , classification scheme , nuclear medicine , pathology , biomedical engineering , artificial intelligence , computer science , machine learning
Recent studies show that virtual histology intravascular ultrasound (VH-IVUS) can identify plaques at high risk of rupture, such as thin-capped fibroatheromata, raising the possibility of immediate targeted intervention. However, plaque classification entails border recognition and subjective assessment of plaque architecture, introducing inter-observer variability without confirmation by core-labs. Furthermore, the accuracy of local versus core-laboratory VH-IVUS plaque classification and effects of different plaque definitions have not been examined.
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