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<export-example>
  <doc>
    <id>1900</id>
    <completedYear>2020</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>275</pageFirst>
    <pageLast>284</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>RWTH Aachen</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Solutions to the 3D Model Problem of Pressure Measurement in the Area of Maxillary Sinus Anastomosis</title>
    <abstract language="eng">The ostiomeatal complex (OMC) is a key area that determines the occurrence of inflammatory processes in the paranasal sinuses (PNSs). The aim of our work was to develop a procedure for studying the OMC components in the preoperative period that allows for identification the impact of anatomical peculiarities on change of physiological pressure in the maxillary sinus. Materials and methods: The study was carried out on the basis of the otorhinolaryngological department of Kharkiv Regional Clinical Hospital in 2019-2020. It involved 100 patients of both sexes aged 20-59 years with chronic non-polyposis maxillary sinusitis. Results: The sizes of the uncinate process, the middle turbinate and the natural anastomosis were determined using the calculation of uncertainty. Basing on the data obtained, all the patients were divided into three groups. Conclusions: Changes in the size of the natural anastomosis (both an increase and its narrowing) lead to changes in pressure in the area of the anastomosis, and a decrease in ventilation in the paranasal sinuses. SCT study with subsequent 3D modeling is an informative, accurate and effective method for assessment of OMC and PNSs condition. It allows surgeons to presume the method and volume of surgery as early as at the preoperative stage, without resorting to invasive research methods.</abstract>
    <parentTitle language="eng">Proceedings of the 3rd International Conference on Informatics &amp; Data-Driven Medicine</parentTitle>
    <identifier type="url">https://ceur-ws.org/Vol-2753/paper20.pdf</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-19007</identifier>
    <enrichment key="opus.import.date">2024-04-12T04:48:53+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">sword</enrichment>
    <enrichment key="SourceTitle">Nechyporenko, A., Reshetnik, V., Shyian, D., Alekseeva, V., Radutny, R., &amp; Gargin, V. (2020). Solutions to the 3D Model Problem of Pressure Measurement in the Area of Maxillary Sinus Anastomosis. (N. Shakhovska, J. Campos, N. Melnykova, &amp; I. Izonin), Proceedings of the 3rd International Conference on Informatics &amp; Data-Driven Medicine. Aachen: CEUR-WS.org. Retrieved from https://ceur-ws.org/Vol-2753/paper20.pdf</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Alina Nechyporenko</author>
    <author>Viktor Reshetnik</author>
    <author>Denys Shyian</author>
    <author>Victoriia Alekseeva</author>
    <author>Radiy Radutny</author>
    <author>Vitaliy Gargin</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ostiomeatal comlex</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>pressure</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D model</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="ddc" number="610">Medizin und Gesundheit</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1900/paper20.pdf</file>
  </doc>
  <doc>
    <id>1901</id>
    <completedYear>2021</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>182</pageFirst>
    <pageLast>189</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>RWTH Aachen</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Complex Automatic Evaluation of the Medical Images of the Paranasal Sinuses</title>
    <abstract language="eng">Evaluation of medical images is of key importance in the work of medical staff today. Especially this problem pays important role in otolaryngology.&#13;
The aim of our work was to develop an automatic complex method for assessing the state of the human paranasal sinuses.&#13;
Our research included 10 people of different sex and age, who were divided into groups, taking into account the recommendations of the WHO for 2019-2021. The structure of the mucous membrane of the maxillary sinus were calculated and compared.&#13;
In the course of our research, an algorithm was developed for the automatic assessment of the state of the mucous membrane of the maxillary sinus and its bone walls according to the data of the spiral computed tomography. The difference between obtained data in the manual and automatic mode is minimal.</abstract>
    <parentTitle language="eng">Proceedings of the 4th International Conference on Informatics &amp; Data-Driven Medicine, Valencia, Spain, November 19 - 21, 2021</parentTitle>
    <identifier type="url">https://ceur-ws.org/Vol-3038/short7.pdf</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-19010</identifier>
    <enrichment key="opus.import.date">2024-04-12T05:43:24+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">sword</enrichment>
    <enrichment key="SourceTitle">Radutny, R., Nechyporenko, A., Alekseeva, V., Yurevych, N., Lupyr, A., &amp; Gargin, V. (2021). Complex Automatic Evaluation of the Medical Images of the Paranasal Sinuses. (N. Shakhovska, A. Salazar, I. Izonin, &amp; J. Campos), Proceedings of the 4th International Conference on Informatics &amp; Data-Driven Medicine, Valencia, Spain, November 19 - 21, 2021. Aachen: RWTH Aachen. Retrieved from https://ceur-ws.org/Vol-3038/short7.pdf</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Radiy Radutny</author>
    <author>Alina Nechyporenko</author>
    <author>Victoriia Alekseeva</author>
    <author>Nadiia Yurevych</author>
    <author>Andrii Lupyr</author>
    <author>Vitaliy Gargin</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>automated measurement</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>computed tomography</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>maxillary sinus</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>bone thickness</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>bone density</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="ddc" number="610">Medizin und Gesundheit</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1901/short7.pdf</file>
  </doc>
</export-example>
