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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">medvis</journal-id><journal-title-group><journal-title xml:lang="ru">Медицинская визуализация</journal-title><trans-title-group xml:lang="en"><trans-title>Medical Visualization</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1607-0763</issn><issn pub-type="epub">2408-9516</issn><publisher><publisher-name>RDS-Media Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">medvis-245</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>БРЮШНАЯ ПОЛОСТЬ И ЗАБРЮШИННОЕ ПРОСТРАНСТВО</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ABDOMEN AND RETROPERITONEAL</subject></subj-group></article-categories><title-group><article-title>Предварительные результаты использования двухэнергетической компьютерной томографии для дифференциальной диагностики очаговых образований печени</article-title><trans-title-group xml:lang="en"><trans-title>Preliminary Results of Dual-Energy CT Usefulness for Focal Liver Lesionsdifferential Diagnosis</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>Карлова</surname><given-names>Елена Анатольевна</given-names></name><name name-style="western" xml:lang="en"><surname>Karlova</surname><given-names>Elena Anatolevna</given-names></name></name-alternatives><email xlink:type="simple">elenakarlova67@gmail.com</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>Савельева</surname><given-names>Анастасия Сергеевна</given-names></name><name name-style="western" xml:lang="en"><surname>Saveleva</surname><given-names>Anastasiya Sergeevna</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>Меркулова</surname><given-names>Наталия Абдуманнабовна</given-names></name><name name-style="western" xml:lang="en"><surname>Merkulova</surname><given-names>Nataliya Abdumannabovna</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>Никель</surname><given-names>Антон Валерьевич</given-names></name><name name-style="western" xml:lang="en"><surname>Nikel</surname><given-names>Anton Valerevich</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Красноярский краевой клинический онкологический диспансер им. А.И. Крыжановского; Красноярский государственный медицинский университет им. профессора В.Ф. Войно-Ясенецкого</institution><country>Россия</country></aff><aff xml:lang="en"><institution>A.I. Kriganovsky Krasnoyarsk Regional Clinical Oncology Dispensary; V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Красноярский государственный медицинский университет им. профессора В.Ф. Войно-Ясенецкого</institution><country>Россия</country></aff><aff xml:lang="en"><institution>V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Красноярский краевой клинический онкологический диспансер им. А.И. Крыжановского</institution><country>Россия</country></aff><aff xml:lang="en"><institution>A.I. Kriganovsky Krasnoyarsk Regional Clinical Oncology Dispensary</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2016</year></pub-date><pub-date pub-type="epub"><day>28</day><month>02</month><year>2016</year></pub-date><volume>0</volume><issue>1</issue><fpage>47</fpage><lpage>53</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Карлова Е.А., Савельева А.С., Меркулова Н.А., Никель А.В., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Карлова Е.А., Савельева А.С., Меркулова Н.А., Никель А.В.</copyright-holder><copyright-holder xml:lang="en">Karlova E.A., Saveleva A.S., Merkulova N.A., Nikel 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://medvis.rdsmedia.ru/jour/article/view/245">https://medvis.rdsmedia.ru/jour/article/view/245</self-uri><abstract><p>Цель исследования: изучить возможности применения двухэнергетической компьютерной томографии (ДЭКТ) в дифференциальной диагностике очаговых образований печени. Материал и методы. Проанализировано 59 очаговых образований печени у 38 пациентов с различными онкологическими заболеваниями, которым была проведена МСКТ с внутривенным болюсным контрастным усилением на многосрезовом компьютерном томографе Discovery 750 HD фирмы GE Healthcare. Портовенозная фаза выполнена в режиме двухэнергетического сканирования и проанализирована с помощью специального программного пакета GSI Volume Viewer. Алгоритм анализа включал синтез серий виртуальных монохроматических изображений, построение виртуальных спектральных кривых, построение йодной карты с количественной оценкой содержания йода в образованиях. Результаты. Во всех очаговых образованиях и в паренхиме печени независимо от гистологического строения спектральная кривая имела вид гиперболы и характеризовалась более высокими значениями плотности и резким изгибом вверх при низких значениях энергии (80-40 кэВ), была относительно плоской при высоких значениях энергии (140-120 кэВ), но отмечалась зависимость индекса наклона кривой от вида исследуемой ткани или опухоли: кривые злокачественных новообразований всегда были ниже, а кривые гемангиом ниже спектральных кривых паренхимы печени. Мы получили статистически достоверную разницу показателей, вычисляемых при ДЭКТ (индекс наклона виртуальной спектральной кривой, абсолютная и нормализованные по аорте и паренхиме печени концентрации йода), не только между гемангиомами и злокачественными образованиями печени, но и между первичными и вторичными опухолями. Выводы. Наш первый опыт показывает, что использование спектральной компьютерной томографии с быстрым переключением двух энергий на одной трубке дает нам новые инструменты, с помощью которых мы можем существенно повысить эффективность компьютерной томографии в выявлении и дифференциальной диагностике очаговых образований печени.</p></abstract><trans-abstract xml:lang="en"><p>Purpose: to assess the usefulness of the spectral dualenergy CT for the differential diagnosis of focal liver lesions. Material and methods. 59 of focal liver lesions in 38 patients with various oncological diseases who underwent CT with intravenous bolus contrast enhancement with Multislice CT scanner, Discovery 750 HD GE Healthcare were analyzed. Porto-venous phase was performed in dual energy mode scanning and analyzed using a special software package GSI Volume viewer. The analysis included the synthesis of virtual monochromatic series of images, the construction of spectral curves, construction of iodine maps with quantitative assessment of iodine content. Results. All focal lesions in the liver parenchyma, irrespective of the histological structure, the spectral curve was hyperbola, characterized by higher values of density and sharply curve upwards at low values of energy (80-40 keV) was relatively flat at high values of energy (140-120 keV), but noted the dependence of the index of the slope of the curve from the studied tissue or tumors: malignant neoplasms curves were always below, and the curves of the spectral curves below hemangiomas of the liver parenchyma. We have statistically significant difference indicators at DECT (index of the slope of the spectral curve, absolute and normalized to the aorta and liver parenchyma iodine concentration), not only between hemangiomas and malignant tumors of the liver, but also between primary and secondary tumors. Conclusion. Our first experience shows that Use of spectral CT with fast tube voltage switching gives us new tools with which we can significantly increase the efficiency of the computer tomography in the detection and differential diagnosis of focal liver lesions.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>двухэнергетическая компьютерная томография</kwd><kwd>новообразования печени</kwd><kwd>dual-energy Computed Tomography</kwd><kwd>liver lesions</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">Лукьянченко А.Б. 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