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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">usfd</journal-id><journal-title-group><journal-title xml:lang="ru">Ультразвуковая и функциональная диагностика</journal-title><trans-title-group xml:lang="en"><trans-title>Ultrasound &amp; Functional Diagnostics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1607-0771</issn><issn pub-type="epub">2408-9494</issn><publisher><publisher-name>RDS-Media Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24835/1607-0771-2019-1-17-29</article-id><article-id custom-type="elpub" pub-id-type="custom">usfd-134</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>Ультразвуковая диагностика заболеваний внутренних органов</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>General Ultrasound</subject></subj-group></article-categories><title-group><article-title>Прицельная эластометрия (эластография сдвиговой волной) в диагностике рака предстательной железы (предварительные результаты)</article-title><trans-title-group xml:lang="en"><trans-title>Targeted elastometry (shear wave elastography) in diagnosis of prostate cancer (preliminary results)</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>Кадрев</surname><given-names>Алексей Викторович</given-names></name><name name-style="western" xml:lang="en"><surname>Kadrev</surname><given-names>A. V.</given-names></name></name-alternatives><email xlink:type="simple">akadrev@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Митькова</surname><given-names>М. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Mitkova</surname><given-names>M. D.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Камалов</surname><given-names>Д. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Kamalov</surname><given-names>D. M.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Данилова</surname><given-names>Н. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Danilova</surname><given-names>N. V.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Камалов</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kamalov</surname><given-names>A. A.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Митьков</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Mitkov</surname><given-names>V. V.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО “Московский государственный университет имени М.В. Ломоносова”; ФГБОУ ДПО “Российская медицинская академия непрерывного профессионального образования” Министерства здравоохранения Российской Федерации</institution></aff><aff xml:lang="en"><institution>Lomonosov Moscow State University; Russian Medical Academy of Continuous Professional Education</institution></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГБОУ ДПО “Российская медицинская академия непрерывного профессионального образования” Министерства здравоохранения Российской Федерации</institution></aff><aff xml:lang="en"><institution>Russian Medical Academy of Continuous Professional Education</institution></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>ФГБОУ ВО “Московский государственный университет имени М.В. Ломоносова”</institution></aff><aff xml:lang="en"><institution>Lomonosov Moscow State University</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>28</day><month>03</month><year>2024</year></pub-date><volume>0</volume><issue>1</issue><fpage>17</fpage><lpage>29</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Кадрев А.В., Митькова М.Д., Камалов Д.М., Данилова Н.В., Камалов А.А., Митьков В.В., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Кадрев А.В., Митькова М.Д., Камалов Д.М., Данилова Н.В., Камалов А.А., Митьков В.В.</copyright-holder><copyright-holder xml:lang="en">Kadrev A.V., Mitkova M.D., Kamalov D.M., Danilova N.V., Kamalov A.A., Mitkov V.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://usfd.rdsmedia.ru/jour/article/view/134">https://usfd.rdsmedia.ru/jour/article/view/134</self-uri><abstract><p>В исследование было включено 96 пациентов с подозрением на рак предстательной железы. Всем пациентам выполнялось мультипараметрическое трансректальное ультразвуковое исследование предстательной железы и семенных пузырьков на аппарате Aixplorer (Supersonic Imagine, Франция) с помощью высокочастотного внутриполостного датчика, работающего в диапазоне частот 3-12 МГц. Предстательная железа была разделена на 12 секторов для ультразвуковой оценки (серошкальная эхография, энергетическое допплеровское картирование, эластография сдвиговой волной) и последующей системной биопсии предстательной железы (каждый из секстантов основания, средней части и верхушки железы справа и слева подразделялся на латеральный и медиальный субрегионы - итого 12 секторов). В случаях выявления очаговых изменений, подозрительных на злокачественность, в дополнение к системной биопсии проводили прицельную биопсию. Для статистического анализа использовали следующие показатели модуля Юнга: среднее арифметическое из трех Emean, измеренных в каждом секторе (aveEmean) (1), и максимальное из трех Emean, измеренных в каждом секторе (maxEmean) (2). При выявлении очаговых изменений при эластографии сдвиговой волной был применен аналогичный подход. Для последующего анализа значения aveEmean и maxEmean привязывали к конкретным биопсийным пробам (раздельная маркировка биоптатов) с последующей морфологической верификацией. Было проанализировано 1308 биоптатов. По результатам морфологического исследования рак предстательной железы был выявлен в 275 образцах (основная группа). Остальные образцы составили группу сравнения (n = 1033). Значения aveEmean и maxEmean в основной группе и группе сравнения достоверно различаются при P &lt; 0,0001. При проведении корреляционного анализа в основной группе выявлены заметные достоверные корреляции суммы Глисона, с одной стороны, и aveEmean (rS - 0,558, P &lt; 0,0001), maxEmean (rS - 0,548, P &lt; 0,0001) - с другой. Чувствительность диагностического теста “aveEmean &gt; 35,4 кПа - рак предстательной железы” (n = 1308) равна 85,1%, специфичность - 85,8%, AUC - 0,908. Чувствительность диагностического теста “maxEmean &gt; 37,9 кПа - рак предстательной железы” (n = 1308) равна 88,4%, специфичность - 80,4%, AUC - 0,912. Чувствительность прогностического теста “aveEmean &gt; 59,2 кПа - рак предстательной железы” (n = 275) (прогнозирование морфологически значимого рака предстательной железы) равна 76,8%, специфичность - 77,7%, AUC - 0,807. Чувствительность прогностического теста “maxEmean &gt; 62,7 кПа - рак предстательной железы” (n = 275) (прогнозирование морфологически значимого рака предстательной железы) равна 79,3%, специфичность - 71,5%, AUC - 0,802. Эластография сдвиговой волной показывает большую информативность в диагностике рака предстательной железы, меньшую - в прогнозировании морфологической значимости (ISUP grade ≥ 3).</p></abstract><trans-abstract xml:lang="en"><p>The study included 96 patients with prostate cancer suspicion. In all patients multiparametric transrectal ultrasound of prostate and seminal vesicles was performed with Aixplorer scanner (Supersonic Imagine, France) using high-frequency (3-12 MHz) transrectal probe. Prostate was divided into 12 sectors for ultrasound assessment (grayscale imaging, power Doppler, and shear wave elastography) and following systematic prostate biopsy (12 cores). Targeted prostate biopsy in addition to systemic biopsy was performed in cases of detection of focal changes suspicious for malignancy. The next Young’s modulus parameters were used for statistical analysis: arithmetic average of three Emean measured in each sector (aveEmean) (1) and maximum of three Emean measured in each sector (maxEmean) (2). In cases of focal changes detection with shear wave elastography the similar approach was applied. Values of aveEmean and maxEmean were related to specific biopsy samples (the separate labeling of biopsy samples), followed by morphological verification for the subsequent analysis. A total of 1308 biopsy cores were analyzed. After morphological study prostate cancer was detected in 275 biopsy cores (main group). Remaining samples were included to comparison group (n = 1033). Values of aveEmean and Maximian in main and comparison groups are significantly differ at P &lt; 0.0001. Significant correlations of Gleason sum with aveEmean (rS - 0.558, P &lt; 0.0001) and maxEmean (rS - 0.548, P &lt; 0.0001) were found in main group. Diagnostic test “aveEmean &gt; 35.4 kPa - prostate cancer" (n = 1308) is characterized by sensitivity 85.1%, specificity 85.8%, and AUC 0.908. Sensitivity of diagnostic test “maxEmean &gt; 37.9 kPa - prostate cancer" (n = 1308) is 88.4%, specificity - 80.4%, and AUC - 0.912. Sensitivity of predictive test “aveEmean &gt; 59.2 kPa - prostate cancer" (n = 275) (prediction of morphologically significant prostate cancer) is 76.8%, specificity - 77.7%, and AUC - 0.807. Sensitivity of predictive test “maxEmean &gt; 62.7 kPa - prostate cancer" (n = 275) (prediction of morphologically significant prostate cancer) is 79.3%, specificity - 71.5%, and AUC - 0.802. Shear wave elastography shows higher accuracy in the diagnosis of prostate cancer, lower - in prediction of morphological significance (ISUP grade ≥3).</p></trans-abstract><kwd-group xml:lang="ru"><kwd>ультразвуковая эластография сдвиговой волной</kwd><kwd>жесткость</kwd><kwd>модуль Юнга</kwd><kwd>предстательная железа</kwd><kwd>рак предстательной железы</kwd><kwd>ultrasound shear wave elastography</kwd><kwd>stiffness</kwd><kwd>Young’s modulus</kwd><kwd>prostate</kwd><kwd>prostate cancer</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">Злокачественные новообразования в России в 2017 году (заболеваемость и смертность) / Под ред. А.Д. Каприна, В.В. Старинского, Г.В. Петровой. М.: МНИОИ им. П.А. 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