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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">rentrad</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник рентгенологии и радиологии</journal-title><trans-title-group xml:lang="en"><trans-title>Journal of radiology and nuclear medicine</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0042-4676</issn><issn pub-type="epub">2619-0478</issn><publisher><publisher-name>Limited Liability Company "LUCHEVAYA DIAGNOSTIKA", Russian Association of Radiologists</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.20862/0042-4676-2015-0-5-50-56</article-id><article-id custom-type="elpub" pub-id-type="custom">rentrad-81</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>Статьи</subject></subj-group></article-categories><title-group><article-title>Новые подходы к количественной оценке начальных нарушений и неоднородности перфузии миокарда по данным однофотонной эмиссионной компьютерной томографии</article-title><trans-title-group xml:lang="en"><trans-title>New approaches to quantifying early disorders and perfusion inhomogeneity of the myocardium according to the data of single-photon emission computed tomography</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Аншелес</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Ansheles</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>к. м. н., ст. науч. сотр.</p></bio><bio xml:lang="en"><p>MD, PhD, Senior Researcher</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мартиросян</surname><given-names>Л. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Martirosyan</surname><given-names>L. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>лаборант-исследователь</p></bio><bio xml:lang="en"><p>Laboratory Researcher</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сергиенко</surname><given-names>И. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Sergienko</surname><given-names>I. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д. м. н., ст. науч. сотр.</p></bio><bio xml:lang="en"><p>MD, PhD, DSc, Senior Researcher</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сергиенко</surname><given-names>В. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Sergienko</surname><given-names>V. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д. м. н., профессор, руководитель отдела радионуклидной диагностикии позитронно-эмиссионной томографии</p></bio><bio xml:lang="en"><p>MD, PhD, DSc, Professor, Head of Department of Nuclear Medicine and Positron Emission Tomography</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБУ «Российский кардиологический научно-производственный комплекс»&#13;
Министерства здравоохранения РФ</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Russian Cardiology Research-and-Production Complex, Ministry of Health of the RF</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>09</day><month>03</month><year>2016</year></pub-date><volume>0</volume><issue>5</issue><fpage>17</fpage><lpage>26</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Аншелес А.А., Мартиросян Л.А., Сергиенко И.В., Сергиенко В.Б., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Аншелес А.А., Мартиросян Л.А., Сергиенко И.В., Сергиенко В.Б.</copyright-holder><copyright-holder xml:lang="en">Ansheles A.A., Martirosyan L.A., Sergienko I.V., Sergienko V.B.</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.russianradiology.ru/jour/article/view/81">https://www.russianradiology.ru/jour/article/view/81</self-uri><abstract><p>Цель исследования – разработать новые методические подходы компьютерной обработки перфузионных томосцинтиграмм и определить их клиническую значимость в оценке начальных нарушений перфузии миокарда.</p><sec><title>Материал и методы</title><p>Материал и методы. В исследование включены 80 пациентов из базы данных отдела, составивших четыре группы. В группу 1 включены 20 пациентов без подозреваемой ишемической болезни сердца (ИБС), без факторов риска ИБС, с нормальной перфузией миокарда. Из 40 пациентов с недостоверными нарушениями или неоднородностью перфузии в группу 2 вошли 20 больных с единичным участком снижения перфузии, в группу 3 – 20 больных с  несколькими такими участками. Группу 4 составили 20 пациентов с неглубокими, но достоверными дефектами перфузии. Все пациенты были асимптомны, имели отрицательные тесты нагрузочных проб, и у них отсутствовали признаки преходящей ишемии по данным однофотонной эмиссионной компьютерной томографии (ОЭКТ) миокарда. Томосцинтиграммы левого желудочка в покое, полученные при ОЭКТ с КТ-коррекцией поглощения излучения (attenuation correction, AC) и без нее (nAC), анализировались количественно с расчетом стандартных параметров: суммы баллов в покое (Summed Rest Score, SRS) и распространенности дефекта в покое (Rest Extent, RE), а также разработанных нами новых параметров: показателя тяжести нарушений перфузии σт и показателя неоднородности σн, которые рассчитывались как среднеквадратичное отклонение относительных</p><p>значений перфузии (в %) в каждом из 17 стандартных сегментов по отношению к максимуму 100% (для σт) и среднему арифметическому этих значений (для σн). Из двух значений относительной перфузии сегмента (по AC- и nAC-изображениям) для вычислений использовалось наибольшее из них.</p></sec><sec><title>Результаты</title><p>Результаты. Значение показателя σт в группах 1, 2, 3 и 4 составило: 15,9±2,6; 20,4±2,9; 22,4±3,4 и 26,0±3,9 соответственно (p&lt;0,05 при сравнении групп 1 и 2, 1 и 3, 1 и 4, 2 и 4, 3 и 4; p=0,19 при сравнении групп 2 и 3), показателя σн – 5,4±0,7; 9,1±1,6; 4,4±0,8; 11,3±2,1 соответственно (р&lt;0,05 при сравнении групп 1 и 2, 1 и 4, 2 и 3, 2 и 4, 3 и 4; p=0,11 при сравнении групп 1 и 3). RE в группах 1, 2, 3 и 4 составил 4,1±1,7; 5,0±2,0; 4,7±2,3; 6,1±2,0 соответственно (р&gt;0,05 во всех парах групп, кроме 1 и 4, где различия были достоверны – р=0,020); SRS –1,3±0,6; 1,9±1,3; 1,6±1,4; 3,0±0,6 соответственно (р&gt;0,05 во всех парах групп, кроме 1 и 4, где различия были достоверны – р=0,013).</p></sec><sec><title>Заключение</title><p>Заключение. Параметры σт и σн можно использовать для количественной оценки нарушений перфузии миокарда, кроме того, они лучше подходят для описания неоднородности и начальных нарушений перфузии, а также разграничения нормальной и неоднородной перфузии миокарда ЛЖ, чем стандартные параметры SRS и RE.</p></sec><sec><title> </title><p> </p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Objective</title><p>Objective: to develop novel quantitative approaches of myocardial perfusion analysis, to assess clinical usefulness of new parameters of initial myocardial perfusion impairments.</p></sec><sec><title>Material and methods</title><p>Material and methods. 80 patients selected from our database formed four groups: 20 patients with no cardiac disease suspect, no ischemic heart disease (IHD) risk factors and definitely normal myocardial perfusion (group 1), 40 patients with equivocal perfusion patterns, that are usually described visually as “inhomogeneous”: 20 – with one subtle perfusion defect (group 2), 20 – with multiple ones (group 3), and 20 patients with non-severe but reliable defects, due to post-MI or another nontransmural cardiac event consequence. None of patients had current cardiac symptoms, positive stress-test results and/or single-photon emission computed tomography (SPECT) signs of stress-induced ischemia, so only rest images were analyzed. Perfusion maps were assessed quantitatively with Summed Rest Score (SRS) and Rest Extent (RE). Also new parameters ósev (severity sigma) и óhet  (heterogeneity sigma) were used. They were calculated as mean-square deviations of relative perfusion values (in %) in each of 17 standard segments in reference to maximum of 100% (for ósev) and to arithmetical mean of those values (for óhet). To minimize known artifacts from CTACcorrected and noncorrected images, relative perfusion values for each segment were taken as  maximal numbers of both images.</p></sec><sec><title>Results</title><p>Results. ósev in groups 1, 2, 3 and 4 was 15.9±2.6, 20.4±2.9, 22.4±3.4 and 26.0±3.9 (all paired p (s)&lt;0.05, except p (group 2–3) = 0.19), óhet – 5.4±0.7, 9.1±1.6, 4.4±0.8, 11.3±2.1 (all paired p (s)&lt;0.05 except p (group 1–3) = 0.11), respectively. Rest Extent in groups 1, 2, 3 and 4 was 4.1±1.7, 5.0±2.0,  4.7±2.3, 6.1±2.0 (all paired p (s)&gt;0.05 except p (group 1–4) = 0.020); SRS – 1.3±0.6, 1.9±1.3, 1.6±1.4, 3.0±0.6 (all paired p (s)&gt;0.05 except p (group 1–4)=0.013).</p></sec><sec><title>Conclusion</title><p>Conclusion. Parameters ósev and óhet are suitable for quantitative description of myocardial perfusion “inhomogeneity”, they are better than Extent/SRS in delineating normal/equivocal (inhomogeneous)/abnormal perfusion patterns.</p></sec><sec><title> </title><p> </p></sec><sec><title> </title><p> </p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>однофотонная эмиссионная компьютерная томография</kwd><kwd>перфузия миокарда</kwd><kwd>количественные методы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>single-photon emission computed tomography</kwd><kwd>myocardial perfusion</kwd><kwd>quantitative methods</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">Belenkov Yu.N., Sergienko V.B. Role of non-invasive methods in atherosclerosis diagnostics. Kardiologiya. 2007; 47 (10): 37–44 (in Russian).</mixed-citation><mixed-citation xml:lang="en">Belenkov Yu.N., Sergienko V.B. 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