Conference proceeding
Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Vol.2016-, pp.1354-1358
04/2016
DOI: 10.1109/ISBI.2016.7493518
Abstract
Early detection of the high-risk lesions such as thin-cap fibroatheroma (TCFA) is highly desired in the clinic. Our group recently addressed the task of prediction of future TCFAs based on baseline virtual histology intravascular ultrasound (VH-IVUS) data with prediction performance not sufficient for routine clinical use. To achieve clinical relevance of our TCFA prediction, an improved strategy is presented here that introduces a spatial context between adjacent IVUS-frame locations and uses a 3-frame TCFA definition. We compared performance of four types of feature set (VH-based, IVUS-based, biomarkers, and combined features), two feature selection approaches (support vector machine recursive feature elimination [SVM RFE] and mutual information [MI]), and two classifiers (SVM and random forests [RF]) when analyzing 24 baseline-follow-up patient datasets. The experimental results indicated that the best prediction performance achieved nearly 10% improvement compared to our previous context-free method — AUC = 0.86, sensitivity=82.6%, specificity=82.1%.
Details
- Title: Subtitle
- Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context
- Creators
- Ling Zhang - University of IowaAndreas Wahle - University of IowaZhi Chen - University of IowaJohn Lopez - Loyola University ChicagoTomas Kovarnik - Charles UniversityMilan Sonka - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Vol.2016-, pp.1354-1358
- DOI
- 10.1109/ISBI.2016.7493518
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Publisher
- IEEE
- Language
- English
- Date published
- 04/2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186588502771
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