Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F16%3A10329203" target="_blank" >RIV/00064165:_____/16:10329203 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/16:10329203
Result on the web
<a href="http://dx.doi.org/10.1109/ISBI.2016.7493518" target="_blank" >http://dx.doi.org/10.1109/ISBI.2016.7493518</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI.2016.7493518" target="_blank" >10.1109/ISBI.2016.7493518</a>

Result language
angličtina
Original language name
Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context
Original language description
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 suffcient 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 defnition. We compared performance of four types of feature set (VHbased, IVUS-based, biomarkers, and combined features), two feature selection approaches (support vector machine recursive feature elimination [SVM RFE] and mutual information [MI]), and two classifers (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%.
Czech name
—
Czech description
—

Project
<a href="/en/project/LH12053" target="_blank" >LH12053: The prediction of extension and risk profile of coronary atherosclerosis and their changes during lipid-lowering therapy based on non-invasive techniques.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
ISBN
978-1-4799-2349-6
ISSN
1945-7928
e-ISSN
—
Number of pages
5
Pages from-to
1354-1358
Publisher name
IEEE
Place of publication
New York
Event location
Prague
Event date
Apr 13, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000386377400320

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