Carotid atherosclerotic plaque stability prediction from transversal ultrasound images using deep learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00376868" target="_blank" >RIV/68407700:21230/24:00376868 - isvavai.cz</a>
Alternative codes found
RIV/61988987:17110/24:A2503AD7
Result on the web
<a href="https://doi.org/10.48095/cccsnn2024255" target="_blank" >https://doi.org/10.48095/cccsnn2024255</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.48095/cccsnn2024255" target="_blank" >10.48095/cccsnn2024255</a>
Alternative languages
Result language
angličtina
Original language name
Carotid atherosclerotic plaque stability prediction from transversal ultrasound images using deep learning
Original language description
Aims: To automatically predict the stability of carotid artery plaque from standard B-mode transversal ultrasound images using deep learning. A reliable predictor would reduce the need for follow-up examination and pharmacological and surgical treatment. Methods: A region of interest (ROI) containing the carotid artery is automatically localized. An adversarial segmentation method was trained on a combination of a small pixelwise annotated dataset and a larger weakly annotated dataset. A multicriterion regression with automatic weight adaptation was applied to predict a series of clinically relevant attributes, including the plaque width increase over 3 years. Results: The current plaque width could be estimated with a high correlation (ϱ = 0.32) and a very high statistical significance. The estimated future increase of the plaque width was correlated less (ϱ = 0.22) but significantly (p < 0.01). The correlation between automatic and expert assessments of echogenicity, smoothness and calcification was even smaller. Conclusions: We confirmed that there is a relationship between the plaque appearance in ultrasound and the probability of its future growth, but it is too weak to be used in clinical practice as the sole predictor of the plaque stability.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/NV19-08-00362" target="_blank" >NV19-08-00362: Evaluation of atherosclerotic plaque stability in carotids using digital image analysis of ultrasound images</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Česká a slovenská neurologie a neurochirurgie
ISSN
1210-7859
e-ISSN
1802-4041
Volume of the periodical
87
Issue of the periodical within the volume
4
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
255-263
UT code for WoS article
001329062600001
EID of the result in the Scopus database
2-s2.0-85206925810