Measurable Difference Between Malignant and Benign Tumor of the Thyroid Gland Recognizable Using Echogenicity Index in Ultrasound B-MODE Imaging: An Experimental Blind Study

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F22%3AN0000021" target="_blank" >RIV/26867184:_____/22:N0000021 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-07704-3_23" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-07704-3_23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-07704-3_23" target="_blank" >10.1007/978-3-031-07704-3_23</a>

Result language
angličtina
Original language name
Measurable Difference Between Malignant and Benign Tumor of the Thyroid Gland Recognizable Using Echogenicity Index in Ultrasound B-MODE Imaging: An Experimental Blind Study
Original language description
The presented paper is focused on possibility to evaluate echogenicity grade on ultrasound B-images of the thyroid gland tumor. We use our developed software tool which has been originally designed for analysis of ultrasound B-images in neurology. Currently, the goal of this research is to decide if this software is also useful for different ultrasound B-images, in this case in endocrinology. To evaluate it, the Echo-Index parameter is used. The core principle of the algorithm is based on computing area and computed echogenicity index. The paper has two main parts. The first one is focused on general assessment of the reproducibility of computed Echo-Index between two independent, nonexperienced observers. The second part is concentrated on changes of the echogenicity index (Echo-Index) in the case of malignant tumor and in the case of benign tumor. The general reproducibility is almost perfect, level of agreement based on correlation coefficient is higher than 0.98 and the absolute average error does not exceeds 15 % between two observers. Subsequent analysis between malignant and benign tumor images evinces the Echo-Index is different.
Czech name
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Czech description
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Type
D - Article in proceedings
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)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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