DocumentCode
2461240
Title
Patient specific cardiovascular risk assessment and treatment decision support based on multiscale modelling and medical guidelines
Author
Exarchos, Themis P. ; Goletsis, Yorgos ; Stefanou, Kostas ; Fotiou, Evaggelos ; Fotiadis, Dimitrios I. ; Parodi, Oberdan
Author_Institution
Foundation for Research and Technology Hellas, Biomedical Research Institute, University of Ioannina, Ioannina, GR 45110, Greece
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
838
Lastpage
841
Abstract
In this work we present an enhanced medical workflow and a decision support system for atherosclerotic risk assessment and treatment, that is based both on existing medical guidelines and on patient specific multiscale data. The medical expert that uses the system is able to apply both existing medical guidelines as well as to take into account additional information for the patient by inspecting the 3D geometry of an arterial segment or the arterial tree, model the blood flow in the patient specific arterial model and predict the progression of the plaque. Moreover, the user is able to apply plaque characterization techniques in Intravascular Ultrasound images (IVUS) and Tomography Images (CT). The combination of the medical guidelines with the patient specific multiscale data provides a detailed view in the patient status for risk assessment and treatment suggestion.
Keywords
Data mining; Decision support systems; Design automation; Guidelines; Medical diagnostic imaging; Solid modeling; Atherosclerosis; Computer Simulation; Decision Support Systems, Clinical; Humans; Models, Cardiovascular; Practice Guidelines as Topic; Prevalence; Proportional Hazards Models; Risk Assessment; Risk Factors; United States;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6089867
Filename
6089867
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