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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">vmireaviz</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник медицинского института «РЕАВИЗ». Реабилитация, Врач и Здоровье</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of the Medical Institute "REAVIZ" (REHABILITATION, DOCTOR AND HEALTH)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2226-762X</issn><issn pub-type="epub">2782-1579</issn><publisher><publisher-name>РЕАВИЗ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.20340/vmi-rvz.2023.3.CLIN.1</article-id><article-id custom-type="elpub" pub-id-type="custom">vmireaviz-738</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>Клиническая медицина</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Clinical medicine</subject></subj-group></article-categories><title-group><article-title>Прогнозирование степени риска разрыва аневризмы брюшной аорты по данным компьютерной томографии</article-title><trans-title-group xml:lang="en"><trans-title>The risk of abdominal aortic aneurysm rupture prediction according to computed tomography data</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3157-6355</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тутова</surname><given-names>Д. З.</given-names></name><name name-style="western" xml:lang="en"><surname>Tutova</surname><given-names>D. Z.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Тутова Дана Зауровна, врач-рентгенолог отделения рентгеновской компьютерной томографии</p><p>Большая Сухаревская площадь, д. 3, Москва, 129090</p></bio><bio xml:lang="en"><p>Dana Z. Tutova, Radiologist of the Department of X-ray Computed Tomography</p><p>3 Bolshaya Sukharevskaya Square, Moscow, 129090</p></bio><email xlink:type="simple">dr.tutovadana@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5430-8524</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Муслимов</surname><given-names>Р. Ш.</given-names></name><name name-style="western" xml:lang="en"><surname>Muslimov</surname><given-names>R. Sh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Муслимов Рустам Шахисмаилович, канд. мед. наук, ведущий научный сотрудник отделения лучевой диагностики</p><p>Большая Сухаревская площадь, д. 3, Москва, 129090</p></bio><bio xml:lang="en"><p>Rustam Sh. Muslimov, Cand. Sci. (Med.), Leading Researcher of the Department of Radiation Diagnostics</p><p>3 Bolshaya Sukharevskaya Square, Moscow, 129090</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3167-3692</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Коков</surname><given-names>Л. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Kokov</surname><given-names>L. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Коков Леонид Сергеевич, д-р мед. наук, профессор, академик РАН, руководитель отдела неотложной кардиологии и сердечно-сосудистой хирургии; заведующий кафедрой рентгенэндоваскулярной и сосудистой хирургии ФДПО</p><p>Большая Сухаревская площадь, д. 3, Москва, 129090;ул. Делегатская, д. 20, стр. 1, Москва, 127473</p></bio><bio xml:lang="en"><p>Leonid S. Kokov, Dr. Sci. (Med.), Professor, Academician of the Russian Academy of Sciences, Head of the Department of Emergency Cardiology and Cardiovascular Surgery; Head of the Department of X-Ray Endovascular and Vascular Surgery of the FPDO</p><p>3 Bolshaya Sukharevskaya Square, Moscow, 129090; 20, p. 1 Delegatskaya str., Moscow, 127473</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6299-4077</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Хамидова</surname><given-names>Л. Т.</given-names></name><name name-style="western" xml:lang="en"><surname>Khamidova</surname><given-names>L. T.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Хамидова Лайлаъ Тимарбековна, д-р мед. наук, руководитель отделения лучевой диагностики</p><p>Большая Сухаревская площадь, д. 3, Москва, 129090</p></bio><bio xml:lang="en"><p>Layla T. Khamidova, Dr. Sci. (Med.), Head of the Department of Radiation Diagnostics</p><p>3 Bolshaya Sukharevskaya Square, Moscow, 129090</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0265-8685</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Михайлов</surname><given-names>И. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Mikhailov</surname><given-names>I. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Михайлов Игорь Петрович, д-р мед. наук, профессор, руководитель отделения сосудистой хирургии</p><p>Большая Сухаревская площадь, д. 3, Москва, 129090</p></bio><bio xml:lang="en"><p>Igor' P. Mikhailov, Dr. Sci. (Med.), Professor, Head of the Department of Vascular Surgery</p><p>3 Bolshaya Sukharevskaya Square, Moscow, 129090</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Научно-исследовательский институт скорой помощи им Н.В. Склифосовского</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Sklifosovsky N.V. Research Institute of Emergency Medicine</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Научно-исследовательский институт скорой помощи им Н.В. Склифосовского; Московский государственный медико-стоматологический университет имени А.И. Евдокимова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Sklifosovsky N.V. Research Institute of Emergency Medicine;&#13;
A.I. Yevdokimov Moscow State University of Medicine and Dentistry</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>10</day><month>05</month><year>2023</year></pub-date><volume>13</volume><issue>3</issue><fpage>32</fpage><lpage>40</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Тутова Д.З., Муслимов Р.Ш., Коков Л.С., Хамидова Л.Т., Михайлов И.П., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Тутова Д.З., Муслимов Р.Ш., Коков Л.С., Хамидова Л.Т., Михайлов И.П.</copyright-holder><copyright-holder xml:lang="en">Tutova D.Z., Muslimov R.S., Kokov L.S., Khamidova L.T., Mikhailov I.P.</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://vestnik.reaviz.ru/jour/article/view/738">https://vestnik.reaviz.ru/jour/article/view/738</self-uri><abstract><p>Актуальность. Аневризма брюшной аорты – широко распространённое заболевание, которое, в части случаев, не имеет специфичной клинической картины, однако возможные осложнения при данной патологии характеризуются высокой летальностью. Своевременная и точная диагностика нестабильности и риска разрыва аорты может влиять на тактику лечения пациента и улучшить прогноз заболевания, в связи с чем вопрос оценки и интерпретации структурных изменений аорты по данным компьютерной томографии остаётся по-прежнему актуальным. Цель: усовершенствовать диагностику нестабильности аневризм брюшной аорты путём создания шкалы оценки степени риска разрыва аорты по данным компьютерной томографии. Материалы и методы. Ретроспективно изучены результаты компьютерной томографии, данные физикальной диагностики и историй болезни 179 пациентов с диагностированной аневризмой брюшной аорты, 46 из которых имели признаки свершившегося разрыва на момент поступления. По полученным данным были проведены стратификация выраженности структурных изменений аортальной стенки по данным компьютерной томографии и сопоставление предварительных результатов с тактикой лечения и исходом заболевания. Результаты. По данным компьютерно-томографического исследования, выполненного у 179 пациентов, было выявлено, что минимальным и достаточным комплексом показателей, позволяющим адекватно определить риск разрыва аневризмы брюшного отдела аорты, являются: размер аневризмы, признак гиперденсного «серпа», симптом драпирующей аорты, уплотнение парааортальной клетчатки и толщина пристеночных тромботических масс. С помощью полученных параметров возможно определить ближайший прогноз течения болезни и риски разрыва аневризмы. Прогностическая система представлена 4-балльной шкалой оценки параметров аневризмы. В зависимости от степени влияния каждого параметра, ему присваивают число баллов, соответствующих уровню прогностической значимости. Максимальное значение факторов риска – 17 баллов. Выводы. В результате проведённого исследования разработана шкала оценки степени риска разрыва аневризмы брюшной аорты по данным компьютерной томографии.</p></abstract><trans-abstract xml:lang="en"><p>Background. Abdominal aortic aneurysm – is a widespread disease, which in some cases does not have any specific clinical symptoms, but possible complications of this pathology are characterized by high mortality. Aortic aneurism rupture is an extremely serious condition that requires emergency surgical treatment. A timely diagnosis of abdominal aortic aneurysm’s rupture risk remains extremely important, since the patient mortality rate is up to 7 times higher when performing an emergency surgery, than when performing a planned surgery. Aim of study: to improve the diagnosis of abdominal aortic aneurysms instability by creating an assessing scale of aortic rupture risk according to computed tomography data. Materials and methods. CT studies were performed by a 160-slice CT scanner and included the native and arterial phases of the scanning. The MSCT data of 179 patients with diagnosed abdominal aortic aneurysm were retrospectively studied, in 46 of whom the condition was complicated by an aortic rupture. CT scans can reveal a number of specific structural changes in the aorta and also surrounding tissues, which can be regarded as aortic wall rupture prediction. That specific structural changes were stratified by severity and the preliminary results were compared with the treatment tactics and the outcome of the disease. Results. The MSCT data of 179 patients with diagnosed abdominal aortic aneurysm shows that the minimum and sufficient set of abdominal aortic aneurysm rupture predictions are: aneurysm size, a sickle sign, aortic wall draping sign, paraaortic fat induration, the thickness of parietal thrombotic masses. The obtained parameters give the possibility to predict the risks of AAA rupture. The prognostic scale is represented by a 4-point scale for assessing aneurysm parameters. Depending on the influence degree of each parameter, it is assigned a number of points corresponding to the level of prognostic significance. The maximum number of risk factors is 17 points. Finding. The assessing scale of the abdominal aortic aneurysm rupture’s risk according to computed tomography data was developed.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>аневризма брюшной аорты</kwd><kwd>риск разрыва</kwd><kwd>разрыв аневризмы</kwd><kwd>компьютерная томография</kwd><kwd>предикторы разрыва аневризмы аорты</kwd></kwd-group><kwd-group xml:lang="en"><kwd>abdominal aortic aneurysm</kwd><kwd>risk of rupture</kwd><kwd>aneurysm rupture</kwd><kwd>computed tomography</kwd><kwd>predictors of aortic aneurysm rupture</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">Покровский А.В. 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