The Information System for the Research in Carotid Atherosclerosis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15120%2F19%3A73600485" target="_blank" >RIV/61989592:15120/19:73600485 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/47813059:19240/19:A0000498

Výsledek na webu

<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-030-27355-2.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-030-27355-2.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Information System for the Research in Carotid Atherosclerosis

Popis výsledku v původním jazyce

This work adresses the possibility of using a new information system and is focused on reproducibility of the Echo-Index between two non-experienced independent observes for atherosclerotic plaques displayed on B-images. The Echo-Index is a numerical value which should characterize the echogenicity grade in selected Region of Interest. In this pilot study, the level of agreement between two independent observes for this index is investigated. The Echo-Index is computed using software image analysis from own developed application designed for digital image analysis of B-images. The results show that the index is well reproducible in time and between two independent observes as well. The study has been performed on a set of 284 B-images. Each image was analyzed two timesbx one observer and subsequently two times by another observer independently. The Echo-Index is a starting point to create a decision-making expert information system which should help decide about risk assessment in atherosclerosis of carotid artery. The idea of the system is based on defferentiation of echogenicity grade according to Echo-Index value. In consequence, the system should classify the plaques into different classes to early risk assessment in carotid atherosclerosis. If the system works properly, many clinical studies can be performed in future; focused on authomatic classication of the plaques displayed in B-images to early atherosclerosis diagnosis.

Název v anglickém jazyce

The Information System for the Research in Carotid Atherosclerosis

Popis výsledku anglicky

This work adresses the possibility of using a new information system and is focused on reproducibility of the Echo-Index between two non-experienced independent observes for atherosclerotic plaques displayed on B-images. The Echo-Index is a numerical value which should characterize the echogenicity grade in selected Region of Interest. In this pilot study, the level of agreement between two independent observes for this index is investigated. The Echo-Index is computed using software image analysis from own developed application designed for digital image analysis of B-images. The results show that the index is well reproducible in time and between two independent observes as well. The study has been performed on a set of 284 B-images. Each image was analyzed two timesbx one observer and subsequently two times by another observer independently. The Echo-Index is a starting point to create a decision-making expert information system which should help decide about risk assessment in atherosclerosis of carotid artery. The idea of the system is based on defferentiation of echogenicity grade according to Echo-Index value. In consequence, the system should classify the plaques into different classes to early risk assessment in carotid atherosclerosis. If the system works properly, many clinical studies can be performed in future; focused on authomatic classication of the plaques displayed in B-images to early atherosclerosis diagnosis.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Big Data Innovations and Applications, 5th International Conference, Innovate-Data 2019, Istanbul, Turkey, August 26–28, 2019, Proceedings

ISBN

978-3-030-27354-5

ISSN

1865-0929

e-ISSN

1865-0937

Počet stran výsledku

12

Strana od-do

150-161

Název nakladatele

Springer Nature Switzerland AG

Místo vydání

Cham, Switzerland

Místo konání akce

Istanbul, Turecko

Datum konání akce

26. 8. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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