A novel computerized tool to stratify risk in carotid atherosclerosis using kinematic features of the arterial wall

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:2985921 8 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
A novel computerized tool to stratify risk in carotid atherosclerosis using kinematic features of the arterial wall
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Valid characterization of carotid atherosclerosis (CA) is a crucial public health issue, which would limit the major risks held by CA for both patient safety and state economies. This paper investigated the unexplored potential of kinematic features in assisting the diagnostic decision for CA in the framework of a computer-aided diagnosis (CAD) tool. Tothis end, 15CAD schemes were designed and were fed with a wide variety of kinematic features of the atherosclerotic plaque and the arterial wall adjacent to the plaque for 56 patients from two different hospitals. The CAD schemes were benchmarked in terms of their ability to discriminate between symptomatic and asymptomatic patients and the combination of the Fisher discriminant ratio, as a feature-selection strategy, and support vector machines, in the classification module, was revealedas the optimal motion-based CAD tool. The particular CAD tool was evaluated with severalcross-validationstrategies and yielded higher than 88% classification accuracy; the texture-based CAD performance in the same dataset was 80%. The incorporation of kinematic features of the arterial wall in CAD seems to have a particularly favorable impact on the performance of image-datadriven diagnosis for CA, which remains to be further elucidated in future prospective studies on large datasets. 2168-2194 © 2014 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution.
Έτος δημοσίευσης:
2015
Συγγραφείς:
Gastounioti, A.
Makrodimitris, S.
Golemati, S.
Kadoglou, N.P.E.
Liapis, C.D.
Nikita, K.S.
Περιοδικό:
IEEE Journal of Biomedical and Health Informatics
Εκδότης:
Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Τόμος:
19
Αριθμός / τεύχος:
3
Σελίδες:
1137-1145
Λέξεις-κλειδιά:
Classification (of information); Computer aided analysis; Diagnosis; Diseases; Health risks; Kinematics; Motion analysis; Public risks, Asymptomatic patients; Atherosclerotic plaque; Carotid atherosclerosis (CA); Classification accuracy; Computer Aided Diagnosis(CAD); Diagnostic decisions; Fisher discriminant; Public health issues, Computer aided diagnosis, adult; aged; atherosclerotic plaque; biomechanics; carotid artery; carotid artery disease; computer assisted diagnosis; echography; factual database; human; middle aged; pathology; pathophysiology; procedures; very elderly, Adult; Aged; Aged, 80 and over; Biomechanical Phenomena; Carotid Arteries; Carotid Artery Diseases; Databases, Factual; Humans; Image Interpretation, Computer-Assisted; Middle Aged; Plaque, Atherosclerotic
Επίσημο URL (Εκδότης):
DOI:
10.1109/JBHI.2014.2329604
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