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The Information System for the Research in Carotid Atherosclerosis

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/47813059:19240/19:A0000498

  • Result on the web

    <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

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Information System for the Research in Carotid Atherosclerosis

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    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

  • Number of pages

    12

  • Pages from-to

    150-161

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Cham, Switzerland

  • Event location

    Istanbul, Turecko

  • Event date

    Aug 26, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article