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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">cardiotomsk</journal-id><journal-title-group><journal-title xml:lang="ru">Сибирский журнал клинической и экспериментальной медицины</journal-title><trans-title-group xml:lang="en"><trans-title>Siberian Journal of Clinical and Experimental Medicine</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2713-2927</issn><issn pub-type="epub">2713-265X</issn><publisher><publisher-name>TSU publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.29001/2073-8552-2024-39-4-92-99</article-id><article-id custom-type="elpub" pub-id-type="custom">cardiotomsk-2205</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>КЛИНИЧЕСКИЕ ИССЛЕДОВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>CLINICAL STUDIES</subject></subj-group></article-categories><title-group><article-title>Диагностическое значение карт плотности легочной ткани по данным компьютерной томографии у пациентов реанимационного отделения многопрофильной больницы</article-title><trans-title-group xml:lang="en"><trans-title>Diagnostic value of lung tissue density maps based on computed tomography data in patients in the intensive care unit of a multidisciplinary hospital</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0008-5934-1332</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бормышев</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Bormyshev</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Бормышев Алексей Викторович, аспирант, кафедра лучевой диагностики и лучевой терапии с курсом ДПО, </p><p>214019, Смоленск, ул. Крупской, 28</p></bio><bio xml:lang="en"><p>Aleksey V. Bormyshev, Graduate Student, Department of Radiation Diagnostics and Radiation Therapy with a Course of Additional Professional Training, </p><p>28, Krupskoy str., Smolensk, 214019</p></bio><email xlink:type="simple">aleksei-bormyshev@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/0000-0003-4983-5300</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Морозова</surname><given-names>Т. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Morozova</surname><given-names>T. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Морозова Татьяна Геннадьевна, д-р мед. наук, доцент, заведующий кафедрой лучевой диагностики и лучевой терапии с курсом ДПО, </p><p>214019, Смоленск, ул. Крупской, 28</p></bio><bio xml:lang="en"><p>Tatyana G. Morozova, Dr. Sci. (Med.), Associate Professor, Head of the Department, Department of Radiation Diagnostics and Radiation Therapy with a Course of Additional Professional Training, </p><p>28, Krupskoy str., Smolensk, 214019</p></bio><email xlink:type="simple">t.g.morozova@yandes.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/0000-0002-7754-5477</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ковалев</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kovalev</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ковалёв Алексей Викторович, канд. мед. наук, доцент, кафедра лучевой диагностики и лучевой терапии с курсом ДПО, </p><p>214019, Смоленск, ул. Крупской, 28</p></bio><bio xml:lang="en"><p>Alexey V. Kovalev, Cand. Sci. (Med.), Associate Professor, Department of Radiation Diagnostics and Radiation Therapy with a Course of Additional Professional Training, </p><p>28, Krupskoy str., Smolensk, 214019</p></bio><email xlink:type="simple">alcoon@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Смоленский государственный медицинский университет Министерства здравоохранения Российской Федерации (СГМУ Минздрава России)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Smolensk State Medical University of the Ministry of Healthcare of the Russian Federation (SSMU)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>30</day><month>12</month><year>2024</year></pub-date><volume>39</volume><issue>4</issue><issue-title>Выпуск 2024_4</issue-title><fpage>92</fpage><lpage>99</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Бормышев А.В., Морозова Т.Г., Ковалев А.В., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Бормышев А.В., Морозова Т.Г., Ковалев А.В.</copyright-holder><copyright-holder xml:lang="en">Bormyshev A.V., Morozova T.G., Kovalev A.V.</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://www.sibjcem.ru/jour/article/view/2205">https://www.sibjcem.ru/jour/article/view/2205</self-uri><abstract><sec><title>Цель исследования</title><p>Цель исследования: оценить диагностическое значение карт плотности легочной ткани, согласно данным компьютерной томографии (КТ), у пациентов реанимационного отделения многопрофильной больницы.</p></sec><sec><title>Материал и методы</title><p>Материал и методы. Обследованы 78 больных в возрасте 47 ± 5,8 года, находящихся в отделении реанимации, в том числе 45 (57,7%) мужчин, 33 (42,3%) женщины. Всем пациентам выполнена КТ органов грудной клетки (ОГК) с оценкой карт плотности легочной ткани на аппарате GE REVOLUTION EVO, 64 среза, с напряжением от 80 до 120 кВ в зависимости от телосложения пациента, с оценкой карт плотности легочной ткани. Обработка данных проводилась методами описательной статистики и сравнения выборок с применением непараметрических критериев.</p></sec><sec><title>Результаты</title><p>Результаты. В основе методологии анализа данных карт плотности легочной ткани лежал суммационный количественный показатель: интерстициальные изменения (%) + процесс консолидации (%) + отсутствие аэрации (%). Несмотря на то, что у 53 пациентов не было изменений в легочной ткани, согласно результатам КТ ОГК, у 25 (47,2%) из них, по данным карты плотности легочной ткани, количественные показатели составляли от 14 до 25%. Качественная картина плотности характеризовалась негомогенностью паттерна паренхимы легких по задне-базальным, центральным отделам. У 25 (32,1%) больных из 78, по результатам КТ легких, установлены II (n = 19) и III (n = 6) стадии острого респираторного дистресс-синдрома (ОРДС). Согласно данным карт плотности легочной ткани, у 14 (73,6%) из 19 больных качественный паттерн характеризовался выраженной диффузной негомогенностью легочной паренхимы. Количественные показатели карт плотности легочной ткани при синдроме острого легочного повреждения (СОЛП) составляли более 26%, что коррелировало с отрицательной клинико-лабораторной динамикой.</p></sec><sec><title>Выводы</title><p>Выводы: 1. Для получения результатов карт плотности легочной ткани при КТ у пациентов с СОЛП необходимо оценивать общую сумму: интерстициальные изменения (%) + процесс консолидации (%) + отсутствие аэрации (%).</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Aim</title><p>Aim: To assess the diagnostic value of lung tissue density maps based on computed tomography (CT) in patients in the intensive care unit of a multidisciplinary hospital.</p></sec><sec><title>Material and Methods</title><p>Material and Methods. 78 patients in the intensive care unit were examined. Patients underwent CT scans of the chest with an assessment of lung tissue density maps. Age: 47 ± 5,8 years, 45 (57.7%) men, 33 (42.3%) women. CT scan was performed on GE EVOLUTION EVO device, 64 sections, with a voltage from 80 to 120 kV (depending on the patient’s physique), with an assessment of the lung tissue density maps. Data processing was carried out using descriptive statistics and sample comparison methods using nonparametric criteria.</p></sec><sec><title>Results</title><p>Results. For analyzing lung tissue density map data, a summary quantitative criterion was calculated: interstitial changes (%) + consolidation process (%) + lack of aeration (%). Despite the fact that 53 patients had no changes in the lung tissue according to CT scan of the chest, in 25 (47.2%) of them, according to the lung tissue density map, quantitative criterion ranged from 14% to 25%, the qualitative density image was characterized by inhomogeneity pattern of the lung parenchyma in the posterior-basal, central segments. In 25 (32.1%) patients out of 78, according to CT of the chest, stages II (n = 19) and III (n = 6) of acute respiratory distress syndrome (ARDS) were established. According to the data of lung tissue density maps, in 14 (73.6%) patients out of 19 people, it was noted that the qualitative image was characterized by pronounced diffuse inhomogeneity of the lung parenchyma. Quantitative indicators of lung tissue density maps in acute lung injury (ALI) were more than 26%, which correlated with negative clinical laboratory dynamics.</p></sec><sec><title>Conclusions</title><p>Conclusions. 1. To obtain the results of lung tissue density maps on CT scans in patients with ALI, it is necessary to evaluate the total amount criterion: interstitial changes (%) + consolidation process (%) + lack of aeration.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>компьютерная томография</kwd><kwd>карты плотности легочной ткани</kwd><kwd>синдром острого легочного повреждения</kwd></kwd-group><kwd-group xml:lang="en"><kwd>computed tomography</kwd><kwd>lung tissue density maps</kwd><kwd>acute lung injury</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Прейзер Ж.Ш., Херридж М., Азулей Э. Синдром последствий интенсивной терапии. Москва: ГЭОТАР-Медиа; 2022:37–55.</mixed-citation><mixed-citation xml:lang="en">Preiser J.S., Herridge M., Azoulay E. Syndrome of the consequences of intensive care. 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