Τίτλος:
Motion synchronisation patterns of the carotid atheromatous plaque from B-mode ultrasound
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Asynchronous movement of the carotid atheromatous plaque from B-mode ultrasound has been previously reported, and associated with higher risk of stroke, but not quantitatively estimated. Based on the hypothesis that asynchronous plaque motion is associated with vulnerable plaque, in this study, synchronisation patterns of different tissue areas were estimated using cross-correlations of displacement waveforms. In 135 plaques (77 subjects), plaque radial deformation was synchronised by approximately 50% with the arterial diameter, and the mean phase shift was 0.4 s. Within the plaque, the mean phase shifts between the displacements of the top and bottom surfaces were 0.2 s and 0.3 s, in the radial and longitudinal directions, respectively, and the synchronisation about 80% in both directions. Classification of phase-shift-based features using Random Forests yielded Area-Under-the-Curve scores of 0.81, 0.79, 0.89 and 0.90 for echogenicity, symptomaticity, stenosis degree and plaque risk, respectively. Statistical analysis showed that echolucent, high-stenosis and high-risk plaques exhibited higher phase shifts between the radial displacements of their top and bottom surfaces. These findings are useful in the study of plaque kinematics. © 2020, The Author(s).
Συγγραφείς:
Golemati, S.
Patelaki, E.
Gastounioti, A.
Andreadis, I.
Liapis, C.D.
Nikita, K.S.
Περιοδικό:
Scientific Reports
Εκδότης:
Institute of Geographic Sciences and Natural Resources Research
Λέξεις-κλειδιά:
adult; aged; atherosclerotic plaque; biological model; carotid artery; carotid artery obstruction; cerebrovascular accident; complication; diagnostic imaging; echography; feasibility study; female; human; image processing; machine learning; male; middle aged; pathology; procedures; prognosis; reproducibility; risk assessment; risk factor; very elderly, Adult; Aged; Aged, 80 and over; Carotid Arteries; Carotid Stenosis; Feasibility Studies; Female; Humans; Image Processing, Computer-Assisted; Machine Learning; Male; Middle Aged; Models, Cardiovascular; Plaque, Atherosclerotic; Prognosis; Reproducibility of Results; Risk Assessment; Risk Factors; Stroke; Ultrasonography
DOI:
10.1038/s41598-020-65340-2
