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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">zdor</journal-id><journal-title-group><journal-title xml:lang="ru">Проблемы здоровья и экологии</journal-title><trans-title-group xml:lang="en"><trans-title>Health and Ecology Issues</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2220-0967</issn><issn pub-type="epub">2708-6011</issn><publisher><publisher-name>Gomel State Medical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.51523/2708-6011.2024-21-1-03</article-id><article-id custom-type="elpub" pub-id-type="custom">zdor-2692</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОРЫ И ЛЕКЦИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEWS AND LECTURES</subject></subj-group></article-categories><title-group><article-title>Нерешенные вопросы применения методов визуализации при COVID-19-ассоциированном поражении желудка и кишечника</article-title><trans-title-group xml:lang="en"><trans-title>Unresolved issues in the use of imaging techniques in COVID-19-associated lesions of the stomach intestine</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0808-183X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Юрковский</surname><given-names>А. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Yurkovskiy</surname><given-names>А. М.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алексей Михайлович Юрковский, д. м. н., доцент, заведующий кафедрой</p><p>кафедра лучевой диагностики с курсом ФПКиП</p><p>Гомель</p></bio><bio xml:lang="en"><p>Аlexei М. Yurkovskiy, Doctor of Medical Sciences, Head of the Department</p><p>Department of Radiation Diagnostics with the course of Advanced Training and Retraining</p><p>Gomel</p></bio><email xlink:type="simple">yurkovsky@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0059-194X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бойко</surname><given-names>М. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Boika</surname><given-names>M. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Марина Александровна Бойко, ассистент</p><p>кафедра лучевой диагностики с курсом ФПКиП</p><p>Гомель</p></bio><bio xml:lang="en"><p>Maryna A. Boika, Assistant Lecturer</p><p>Department of Radiation Diagnostics with course of Advanced Training andRetraining</p><p>Gomel</p></bio><email xlink:type="simple">marinazhuravlevabojko205@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Гомельский государственный медицинский университет</institution></aff><aff xml:lang="en"><institution>Gomel State Medical University</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>29</day><month>03</month><year>2024</year></pub-date><volume>21</volume><issue>1</issue><fpage>29</fpage><lpage>33</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Юрковский А.М., Бойко М.А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Юрковский А.М., Бойко М.А.</copyright-holder><copyright-holder xml:lang="en">Yurkovskiy А.М., Boika M.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://journal.gsmu.by/jour/article/view/2692">https://journal.gsmu.by/jour/article/view/2692</self-uri><abstract><sec><title>   Цель исследования</title><p>   Цель исследования. Систематизировать и проанализировать данные о применении методов визуализации при COVID-19-ассоциированных поражениях желудка и кишечника.</p></sec><sec><title>   Материалы и методы</title><p>   Материалы и методы. Проведен анализ публикаций в системах PubMed, EMBASE и Web of Science в период 2020–2023 гг., описывающих случаи применения методов визуализации у пациентов с подтвержденным диагнозом COVID-19-ассоциированных поражений желудочно-кишечного тракта.</p></sec><sec><title>   Результаты</title><p>   Результаты. Определены наиболее часто встречающиеся при абдоминальной визуализации признаки COVID-19-ассоциированного поражения желудка и кишечника, оценена их инцидентность и ориентировочная диагностическая значимость.</p></sec><sec><title>   Заключение</title><p>   Заключение. Применение компьютерной томографии и ультрасонографии для диагностики COVID-19-ассоциированного поражения желудка и кишечника сдерживается отсутствием четких представлений относительно чувствительности, специфичности и прогностической ценности описанных ранее лучевых признаков поражения желудочно-кишечного тракта. Кроме того, отсутствует четкий алгоритм применения методов визуализации при COVID-19-ассоциированном абдоминальном болевом синдроме. Решение указанных вопросов позволит оптимизировать применение методов визуализации и сократить время диагностического поиска.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>   Objective</title><p>   Objective. To systematize and analyze data on the use of imaging techniques in COVID-19-associated gastric and intestinal lesions.</p></sec><sec><title>   Materials and methods</title><p>   Materials and methods. An analysis of publications in PubMed, EMBASE and Web of Science systems was carried out in the period 2020-2023, describing the use of imaging techniques in patients with a confirmed diagnosis of COVID-19-associated gastrointestinal lesions.</p></sec><sec><title>   Results</title><p>   Results. The most frequent signs of COVID-19-associated gastric and intestinal lesions on abdominal imaging were identified, their incidence and approximate diagnostic significance were evaluated.</p></sec><sec><title>   Conclusion</title><p>   Conclusion. The use of computed tomography and ultrasonography for the diagnosis of COVID-19-associated gastrointestinal lesions is hampered by the lack of clear ideas regarding the sensitivity, specificity, and prognostic value of the previously described radiologic signs of gastrointestinal lesions. In addition, there is no clear algorithm for the use of imaging methods in COVID-19-associated abdominal pain syndrome. The solution of these issues will optimize the use of imaging methods and reduce the time of diagnostic search.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>желудочно-кишечные проявления COVID-19</kwd><kwd>абдоминальная визуализация</kwd></kwd-group><kwd-group xml:lang="en"><kwd>gastrointestinal manifestations in COVID-19</kwd><kwd>abdominal imaging</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнялась в рамках проекта НИР «Разработать алгоритм прогнозирования пост-COVID-19 ассоциированной патологии на основании изучения клинико-лабораторных и функциональных показателей», ГПНИ 4 «Трансляционная медицина», подпрограмма 4.2 «Фундаментальные аспекты медицинской науки». Сроки выполнения с 01. 01. 2022 по 31. 12. 2024</funding-statement><funding-statement xml:lang="en">The work was performed within the framework of the research project "To develop an algorithm for predictingpost-COVID-19 associated pathology based on the study of clinical, laboratory and functional parameters", State program of scientific research 4 "Translational Medicine", subprogram 4.2 "Fundamental Aspects of Medical Science". Due dates from 01. 01. 2022 to 31. 12. 2024</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Rodríguez-Lago I, Ramírez de la Piscina P, Elorza A, Merino О, de Zárate JO, Cabriada JL. Characteristics and prognosis of patients with inflammatory bowel disease during the SARS-CoV-2 pandemic in the Basque Country (Spain). 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