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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-148</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>КОСТИ И СУСТАВЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>BONES AND JOINTS</subject></subj-group></article-categories><title-group><article-title>Прогностическая значимость костной плотности, определенной при компьютерной томографии, в отношении низкоэнергетических переломов позвоночника</article-title><trans-title-group xml:lang="en"><trans-title>The Prognostic Value of Bone Density Measured in Hounsfield Units in Relation to Low Energy Vertebra Fracture Prediction</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>Боков</surname><given-names>Андрей Евгеньевич</given-names></name><name name-style="western" xml:lang="en"><surname>Bokov</surname><given-names>Andrey Evgenievich</given-names></name></name-alternatives><email xlink:type="simple">nniito@rambler.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>Млявых</surname><given-names>Сергей Геннадьевич</given-names></name><name name-style="western" xml:lang="en"><surname>Mlyavykh</surname><given-names>Sergey Gennadievich</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.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>Алейник</surname><given-names>Александр Яковлевич</given-names></name><name name-style="western" xml:lang="en"><surname>Aleynik</surname><given-names>Alexander Yakovlevich</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.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>Растеряева</surname><given-names>Марина Вячеславовна</given-names></name><name name-style="western" xml:lang="en"><surname>Rasteryaeva</surname><given-names>Marina Vyacheslavovna</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.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>Кутлаева</surname><given-names>Марина Александровна</given-names></name><name name-style="western" xml:lang="en"><surname>Kutlaeva</surname><given-names>Marina Alexandrovna</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБУ “Приволжский федеральный медицинский исследовательский центр” Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Privolzhsky Federal Research Center</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>28</day><month>06</month><year>2015</year></pub-date><volume>0</volume><issue>3</issue><fpage>94</fpage><lpage>98</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Боков А.Е., Млявых С.Г., Алейник А.Я., Растеряева М.В., Кутлаева М.А., 2015</copyright-statement><copyright-year>2015</copyright-year><copyright-holder xml:lang="ru">Боков А.Е., Млявых С.Г., Алейник А.Я., Растеряева М.В., Кутлаева М.А.</copyright-holder><copyright-holder xml:lang="en">Bokov A.E., Mlyavykh S.G., Aleynik A.Y., Rasteryaeva M.V., Kutlaeva M.A.</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/148">https://medvis.rdsmedia.ru/jour/article/view/148</self-uri><abstract><p>При выполнении рентгеновской КТ может быть определена костная плотность в единицах Хаунсфилда (ед.Н), но прогностическая значимость этого параметра в отношении низкоэнергетических переломов позвонков до настоящего времени недостаточно исследована. Цель исследования: определить прогностическую значимость костной плотности, определенной при КТ-исследовании, в отношении риска низкоэнергетических патологических переломов. Материал и методы. Проведена оценка результатов КТ 100 пациентов. На уровне LII или LIII определяли плотность губчатой кости в ед.Н в сагиттальной, фронтальной плоскостях и на аксиальных срезах, после чего вычисляли среднее значение. Регистрировали наблюдения с одно- и многоуровневыми патологическими переломами, а также наблюдения с многоуровневыми дегенеративными изменениями. Исследовали прогностическую значимость указанных параметров в отношении патологических компрессионных переломов позвонков, для этого применяли логистический регрессионный анализ. Результаты. Выявлено, что имеется связь плотности позвонков, определенной в ед.Н, с частотой патологических переломов: снижение костной плотности ниже 101 ед.Н сопряжено с нарастанием частоты патологических переломов, в то время как снижение костной плотности ниже 82 ед.Н ассоциируется с увеличением частоты многоуровневых патологических переломов. Наличие многоуровневых дегенеративных изменений ассоциируются со снижением частоты патологических переломов позвонков. Заключение. КТ-данные могут быть использованы для оценки риска патологических компрессионных переломов позвонков и служить основанием для назначения профилактических мер или дальнейшего обследования.</p></abstract><trans-abstract xml:lang="en"><p>Computed tomography (CT) can be used to accurately determine bone density in Hounsfield units (HU), the use of CT as a predictive tool has not been conclusively demonstrated in relation to low energy vertebra compression fracture (VCF). The objective: to define the prognostic value of bone density measured during CT investigation in relation to VCF. Materials and methods. One hundred consecutive patients undergoing CT scans were enrolled in this study. Bone density measurements were obtained at the level LII or LIII from the cancellous portion of the vertebral body in the mid-sagittal, mid-coronal and axial planes. The presence of a single-level or multi-level VCF was identified by CT. Multilevel degenerative changes were characterized and recorded. Logistic regression was utilized to assess the relationship between the variables of bone density in HU, single - or multi-level VCF and the presence of degenerative changes. Results. HU were found to have a strong correlation to the risk of VCF. HU of less than 101 were associated with a significant increase in the rate of VCF, whereas HU of less than 82 were associated with a significant increase in the rate of multi-level VCF. Hypertrophic degenerative changes were found to be associated with a decreased rate of VCF. Conclusion. CT data can accurately define the risk of VCF and therefore presents a useful clinical tool to support the need for prophylactic medical therapies for osteoporosis or to provide information useful in counseling patients at risk for VCF.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>компьютерная томография</kwd><kwd>костная плотность</kwd><kwd>единицы Хаунсфилда</kwd><kwd>патологические компрессионные переломы позвонков</kwd><kwd>imputed tomography</kwd><kwd>Bone density</kwd><kwd>Hounsfield units</kwd><kwd>Vertebral compression fracture</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">Felsenberg D., Silman A.J., Lunt M. et al. Incidence of vertebral fracture in Europe: results from the European Prospective Osteoporosis Study (EPOS). J. 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