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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">endofocus</journal-id><journal-title-group><journal-title xml:lang="ru">FOCUS Эндокринология</journal-title><trans-title-group xml:lang="en"><trans-title>FOCUS. Endocrinology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2713-0177</issn><issn pub-type="epub">2713-0185</issn><publisher><publisher-name>ООО "Издательство "Перо"</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.15829/1560-4071-2023-13</article-id><article-id custom-type="edn" pub-id-type="custom">NHKQST</article-id><article-id custom-type="elpub" pub-id-type="custom">endofocus-13</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>ОБЗОР ЛИТЕРАТУРЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>LITERATURE REVIEW</subject></subj-group></article-categories><title-group><article-title>Эволюция оценки состава тела: от индекса массы тела до профилирования состава организма</article-title><trans-title-group xml:lang="en"><trans-title>The evolution of body composition assessment: from body mass index to body composition profiling</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4811-9193</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Киселева</surname><given-names>Е. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Kiseleva</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>клинический ординатор</p><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><email xlink:type="simple">kiseleva.ewe@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6539-466X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пигарова</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Pigarova</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д.м.н., директор Института высшего и дополнительного профессионального образования</p><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0002-9717-9742</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мокрышева</surname><given-names>Н. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Mokrysheva</surname><given-names>N. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д.м.н., профессор, член-корр. РАН</p><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБУ "НМИЦ эндокринологии" Минздрава России</institution></aff><aff xml:lang="en"><institution>Endocrinology Research Centre</institution></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>4</volume><issue>2</issue><issue-title>Кардиоэндокринология</issue-title><fpage>12</fpage><lpage>18</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Киселева Е.Е., Пигарова Е.А., Мокрышева Н.Г., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Киселева Е.Е., Пигарова Е.А., Мокрышева Н.Г.</copyright-holder><copyright-holder xml:lang="en">Kiseleva E.V., Pigarova E.A., Mokrysheva N.G.</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://endofocus.elpub.ru/jour/article/view/13">https://endofocus.elpub.ru/jour/article/view/13</self-uri><abstract><p>Ожирение в настоящее время представляет собой важную медико-социальную проблему, обусловленную ассоциированными с ним множественными состояниями, ухудшающими здоровье населения, что требует разработки точных и неинвазивных методов оценки состава тела для диагностики и мониторинга лечения данного заболевания. По прогнозу Всемирной федерации по борьбе с ожирением, к 2025г распространенность этого заболевания достигнет 21% у женщин и 18% у мужчин. Представлен обзор отечественной и зарубежной литературы на предмет различных методов оценки степени ожирения, а также определения композиционного состава тела в разрезе исторических достижений и критической оценки новых технологий.</p></abstract><trans-abstract xml:lang="en"><p>Obesity is currently an important medical and social problem due to the multiple associated conditions that worsen the health of the population. Thus, there is a need for the development of accurate and non-invasive methods of body composition assessment for the purposes of diagnosing and monitoring the treatment of this disease. According to the estimates of the World Obesity Federation, by 2025 the prevalence of this disease will reach 21% in women, and 18% in men. This literature review is dedicated to the subject of various methods for assessing the degree of obesity, as well as determining the composition of the body in the context of historical achievements and a critical assessment of new technologies.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>состав тела</kwd><kwd>метаболический синдром</kwd><kwd>магнитно-резонансная томография</kwd><kwd>индекс массы тела</kwd><kwd>МРТ</kwd><kwd>ИМТ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>obesity</kwd><kwd>body composition</kwd><kwd>metabolic syndrome</kwd><kwd>magnetic resonance imaging</kwd><kwd>body mass index</kwd><kwd>MRI</kwd><kwd>BMI</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена в рамках темы госзадания "Центральные и периферические патофизиологические механизмы развития болезней жировой ткани с учетом клинических и гормональных характеристик" АААА-А20-120011790162-0.</funding-statement><funding-statement xml:lang="en">The work was carried out as part of the study "Central and peripheral pathophysiological mechanisms of development of adipose tissue diseases, taking into account clinical and hormonal characteristics" АААА-А20-120011790162-0.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Dedov II, Mokrysheva NG, Mel’nichenko GA, et al. Obesity. Clinical guidelines. Consilium Medicum. 2021;23(4):311-25. (In Russ.) Дедов И. И., Мокрышева Н. Г., Мельниченко Г. А. и др. Ожирение. Клинические рекомендации. Consilium Medicum. 2021;23(4):311-25. doi:10.26442/20751753.2021.4.200832.</mixed-citation><mixed-citation xml:lang="en">Dedov II, Mokrysheva NG, Mel’nichenko GA, et al. Obesity. Clinical guidelines. Consilium Medicum. 2021;23(4):311-25. (In Russ.) Дедов И. И., Мокрышева Н. Г., Мельниченко Г. А. и др. Ожирение. Клинические рекомендации. Consilium Medicum. 2021;23(4):311-25. doi:10.26442/20751753.2021.4.200832.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Петеркова В. А., Безлепкина О. Б., Болотова Н. В. и др. Клинические рекомендации "Ожирение у детей". Проблемы эндокринологии. 2021;67(5):67-83. doi:10.14341/probl12802.</mixed-citation><mixed-citation xml:lang="en">Peterkova VA, Bezlepkina OB, Bolotova NV, et al. Clinical guidelines "Obesity in children". Problems of Endocrinology. 2021;67(5):67-83. (in Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Maximus PS, Al Achkar Z, Hamid PF, et al. Adipocytokines: Are they the Theory of Everything? Cytokine. 2020;133:155144. doi:10.1016/j.cyto.2020.155144.</mixed-citation><mixed-citation xml:lang="en">Maximus PS, Al Achkar Z, Hamid PF, et al. Adipocytokines: Are they the Theory of Everything? Cytokine. 2020;133:155144. doi:10.1016/j.cyto.2020.155144.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Borga M, West J, Bell JD, et al. Advanced body composition assessment: from body mass index to body composition profiling. J Investig Med. 2018;66(5):1-9. doi:10.1136/jim-2018-000722.</mixed-citation><mixed-citation xml:lang="en">Borga M, West J, Bell JD, et al. Advanced body composition assessment: from body mass index to body composition profiling. J Investig Med. 2018;66(5):1-9. doi:10.1136/jim-2018-000722.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Neeland IJ, Ayers CR, Rohatgi AK, et al. Associations of visceral and abdominal subcutaneous adipose tissue with markers of cardiac and metabolic risk in obese adults. Obesity (Silver Spring). 2013;21(9):E439-47. doi:10.1002/oby.20135.</mixed-citation><mixed-citation xml:lang="en">Neeland IJ, Ayers CR, Rohatgi AK, et al. Associations of visceral and abdominal subcutaneous adipose tissue with markers of cardiac and metabolic risk in obese adults. Obesity (Silver Spring). 2013;21(9):E439-47. doi:10.1002/oby.20135.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Brunt EM, Wong VW, Nobili V, et al. Nonalcoholic fatty liver disease. Nature Reviews Disease Primers. 2015;1:15080. doi:10.1038/nrdp.2015.80.</mixed-citation><mixed-citation xml:lang="en">Brunt EM, Wong VW, Nobili V, et al. Nonalcoholic fatty liver disease. Nature Reviews Disease Primers. 2015;1:15080. doi:10.1038/nrdp.2015.80.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Stanford KI, Goodyear LJ. Muscle-Adipose Tissue Cross Talk. Cold Spring Harb Perspect Med. 2018;8(8):a029801. doi:10.1101/cshperspect.a029801.</mixed-citation><mixed-citation xml:lang="en">Stanford KI, Goodyear LJ. Muscle-Adipose Tissue Cross Talk. Cold Spring Harb Perspect Med. 2018;8(8):a029801. doi:10.1101/cshperspect.a029801.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Bluher M. Metabolically Healthy Obesity. Endocr Rev. 2020;41(3):bnaa004. doi:10.1210/endrev/bnaa004.</mixed-citation><mixed-citation xml:lang="en">Bluher M. Metabolically Healthy Obesity. Endocr Rev. 2020;41(3):bnaa004. doi:10.1210/endrev/bnaa004.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Chan DC, Watts GF, Barrett PH, et al. Waist circumference, waist-to-hip ratio and body mass index as predictors of adipose tissue compartments in men. QJM. 2003;96:441-7.</mixed-citation><mixed-citation xml:lang="en">Chan DC, Watts GF, Barrett PH, et al. Waist circumference, waist-to-hip ratio and body mass index as predictors of adipose tissue compartments in men. QJM. 2003;96:441-7.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Дедов И. И., Шестакова М. В., Мельниченко Г. А. и др. Междисциплинарные клинические рекомендации "Лечение ожирения и коморбидных заболеваний". Ожирение и метаболизм. 2021;18(1):5-99. doi:10.14341/omet12714.</mixed-citation><mixed-citation xml:lang="en">Dedov II, Shestakova MV, Melnichenko GA, et al. Interdisciplinary clinical practice guidelines "Management of obesity and its comorbidities". Obesity and metabolism. 2021;18(1):5-99. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Fouque D, Vennegoor M, ter Wee P, et al. EBPG guideline on nutrition. Nephrol Dial Transplant. 2007;22 Suppl 2:ii45-87. doi:10.1093/ndt/gfm020.</mixed-citation><mixed-citation xml:lang="en">Fouque D, Vennegoor M, ter Wee P, et al. EBPG guideline on nutrition. Nephrol Dial Transplant. 2007;22 Suppl 2:ii45-87. doi:10.1093/ndt/gfm020.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Barbosa-Silva MC, Barros AJ. Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations. Curr Opin Clin Nutr Metab Care. 2005;8(3):311-7. doi:10.1097/01.mco.0000165011.69943.39.</mixed-citation><mixed-citation xml:lang="en">Barbosa-Silva MC, Barros AJ. Bioelectrical impedance analysis in clinical practice: a new perspective on its use beyond body composition equations. Curr Opin Clin Nutr Metab Care. 2005;8(3):311-7. doi:10.1097/01.mco.0000165011.69943.39.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Гайворонский И. В., Ничипорук Г. И., Гайворонский И. Н., Ничипорук, Н. Г. Биоимпедансометрия как метод оценки компонентного состава тела человека (обзор литературы). Вестник Санкт-Петербургского университета. Медицина. 2017;12(4):365-84. doi:10.21638/11701/spbu11.2017.406.</mixed-citation><mixed-citation xml:lang="en">Gaivoronskiy IV, Nichiporuk GI, Gaivoronskiy IN, Nichiporuk NG. Bioimpedansometry as a method of the component bodystructure assessment (review). Vestnik SPbSU. Medicine. 2017;12(4):365-84. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Lemos T, Gallagher D. Current body composition measurement techniques. Curr Opin Endocrinol Diabetes Obes. 2017;24(5):310-4. doi:10.1097/MED.0000000000000360.</mixed-citation><mixed-citation xml:lang="en">Lemos T, Gallagher D. Current body composition measurement techniques. Curr Opin Endocrinol Diabetes Obes. 2017;24(5):310-4. doi:10.1097/MED.0000000000000360.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Gonzalez MC, Barbosa-Silva TG, Bielemann RM, et al. Phase angle and its determinants in healthy subjects: influence of body composition. Am J Clin Nutr. 2016;103(3):712-6. doi:10.3945/ajcn.115.116772.</mixed-citation><mixed-citation xml:lang="en">Gonzalez MC, Barbosa-Silva TG, Bielemann RM, et al. Phase angle and its determinants in healthy subjects: influence of body composition. Am J Clin Nutr. 2016;103(3):712-6. doi:10.3945/ajcn.115.116772.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Genton L, Herrmann FR, Spörri A, Graf CE. Association of mortality and phase angle measured by different bioelectrical impedance analysis (BIA) devices. Clin Nutr. 2018;37(3):1066-9. doi:10.1016/j.clnu.2017.03.023.</mixed-citation><mixed-citation xml:lang="en">Genton L, Herrmann FR, Spörri A, Graf CE. Association of mortality and phase angle measured by different bioelectrical impedance analysis (BIA) devices. Clin Nutr. 2018;37(3):1066-9. doi:10.1016/j.clnu.2017.03.023.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Курлыкин А. В., Константинова А. Н., Якименко В. А., Овсянников Ю. Г. Биоимпедансометрия в комплексе предоперационного обследования в детской гематологии (обзор литературы). Доктор.Ру. Гематология. 2016;5(122):36-9.</mixed-citation><mixed-citation xml:lang="en">Kurlykin AV, Konstantinova AN, Yakimenko VA, Ovsyannikov YuG. Bioimpedance Analysis as Part of Pre-Surgery Examination in Pediatric Hematology: Literature Review. Hematology. 2016;5(122):36-9. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Campa F, Toselli S, Mazzilli M, et al. Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis. Nutrients. 2021;13(5):1620. doi:10.3390/nu13051620.</mixed-citation><mixed-citation xml:lang="en">Campa F, Toselli S, Mazzilli M, et al. Assessment of Body Composition in Athletes: A Narrative Review of Available Methods with Special Reference to Quantitative and Qualitative Bioimpedance Analysis. Nutrients. 2021;13(5):1620. doi:10.3390/nu13051620.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Мартиросов Э. Г., Николаев Д. В., Руднев С. Г. Технологии и методы определения состава тела человека. М.: Наука, 2006, с. 81-4.</mixed-citation><mixed-citation xml:lang="en">Martirosov EG, Nikolaev DV, Rudnev SG. Technologies and methods of human body composition assessment. Moscow: Nauka, 2006. p. 81-4. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Kuriyan R. Body composition techniques. Indian J Med Res. 2018;148(5):648-58. doi:10.4103/ijmr.IJMR_1777_18.</mixed-citation><mixed-citation xml:lang="en">Kuriyan R. Body composition techniques. Indian J Med Res. 2018;148(5):648-58. doi:10.4103/ijmr.IJMR_1777_18.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Kelly TL, Wilson KE, Heymsfield SB. Dual energy X-Ray absorptiometry body composition reference values from NHANES. PLoS One. 2009;4(9):e7038. doi:10.1371/journal.pone.0007038.</mixed-citation><mixed-citation xml:lang="en">Kelly TL, Wilson KE, Heymsfield SB. Dual energy X-Ray absorptiometry body composition reference values from NHANES. PLoS One. 2009;4(9):e7038. doi:10.1371/journal.pone.0007038.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Мисникова И. В., Ковалева Ю. А., Климина Н. А., Полякова Е. Ю. Оценка мышечной и жировой массы у пациентов с сахарным диабетом 2-го типа по результатам двухэнергетической рентгеновской абсорбциометрии. Альманах клинической медицины. 2018;46(3):222-32. doi:10.18786/2072-0505-2018-46-3-222-232.</mixed-citation><mixed-citation xml:lang="en">Misnikova IV, Kovaleva YuA, Klimina NA, Polyakova EYu. Assessment of muscle and fat mass in type 2 diabetes mellitus patients by dual-energy X-ray absorptiometry. Almanac of Clinical Medicine. 2018;46(3):222-32. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Сусляева Н. М., Завадовская В. Д., Шульга О. С. и др. Возможности ультразвукового исследования в диагностике висцерального ожирения. Russian Electronic Journal of Radiology. 2014;(4):53-9.</mixed-citation><mixed-citation xml:lang="en">Suslyaeva NM, Zavadovskaya VD, Zavyalova NG, et al. Ultrasound evaluation of visceral obesity. Russian Electronic Journal of Radiology. 2014;(4):53-9. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Gruther W, Benesch T, Zorn C, et al. Muscle wasting in intensive care patients: ultrasound observation of the M. quadriceps femoris muscle layer. J Rehabil Med. 2008;40(3):185-9. doi:10.2340/16501977-0139.</mixed-citation><mixed-citation xml:lang="en">Gruther W, Benesch T, Zorn C, et al. Muscle wasting in intensive care patients: ultrasound observation of the M. quadriceps femoris muscle layer. J Rehabil Med. 2008;40(3):185-9. doi:10.2340/16501977-0139.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Paris MT. Body Composition Analysis of Computed Tomography Scans in Clinical Populations: The Role of Deep Learning. Lifestyle Genom. 2020;13(1):28-31. doi:10.1159/000503996.</mixed-citation><mixed-citation xml:lang="en">Paris MT. Body Composition Analysis of Computed Tomography Scans in Clinical Populations: The Role of Deep Learning. Lifestyle Genom. 2020;13(1):28-31. doi:10.1159/000503996.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Уэстбрук К., Каут Рот К., Тэлбот Д. Магнитно-резонансная томография: практическое руководство; пер. с англ. М.: БИНОМ. Лаборатория знаний, 2015. с. 37-8.</mixed-citation><mixed-citation xml:lang="en">Westbrook C, Kaut Roth C, Talbot J. MRI in practice. Moscow: BINOM. Knowledge laboratory, 2015. p. 37-8. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Middleton MS, Haufe W, Hooker J, et al. Quantifying Abdominal Adipose Tissue and Thigh Muscle Volume and Hepatic Proton Density Fat Fraction: Repeatability and Accuracy of an MR Imaging-based, Semiautomated Analysis Method. Radiology. 2017;283(2):438-49.</mixed-citation><mixed-citation xml:lang="en">Middleton MS, Haufe W, Hooker J, et al. Quantifying Abdominal Adipose Tissue and Thigh Muscle Volume and Hepatic Proton Density Fat Fraction: Repeatability and Accuracy of an MR Imaging-based, Semiautomated Analysis Method. Radiology. 2017;283(2):438-49.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Bray TJ, Chouhan MD, Punwani S, et al. Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology. Br J Radiol. 2018;91:20170344.</mixed-citation><mixed-citation xml:lang="en">Bray TJ, Chouhan MD, Punwani S, et al. Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology. Br J Radiol. 2018;91:20170344.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Unal E, Karaosmanoğlu AD, Akata D, et al. Invisible fat on CT: making it visible by MRI. Diagn Interv Radiol. 2016;22(2):133-40. doi:10.5152/dir.2015.15286.</mixed-citation><mixed-citation xml:lang="en">Unal E, Karaosmanoğlu AD, Akata D, et al. Invisible fat on CT: making it visible by MRI. Diagn Interv Radiol. 2016;22(2):133-40. doi:10.5152/dir.2015.15286.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Robinson PJ. The effects of cancer chemotherapy on liver imaging. Eur Radiol. 2009;19:1752-62.</mixed-citation><mixed-citation xml:lang="en">Robinson PJ. The effects of cancer chemotherapy on liver imaging. Eur Radiol. 2009;19:1752-62.</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Chung KY, Mayo-Smith WW, Saini S, et al. Hepatocellular adenoma: MR imaging features with pathologic correlation. AJR Am J Roentgenol. 1995;165:303-8.</mixed-citation><mixed-citation xml:lang="en">Chung KY, Mayo-Smith WW, Saini S, et al. Hepatocellular adenoma: MR imaging features with pathologic correlation. AJR Am J Roentgenol. 1995;165:303-8.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Borga M. MRI adipose tissue and muscle composition analysis-a review of automation techniques. Br J Radiol. 2018;91(1089):20180252. doi:10.1259/bjr.20180252.</mixed-citation><mixed-citation xml:lang="en">Borga M. MRI adipose tissue and muscle composition analysis-a review of automation techniques. Br J Radiol. 2018;91(1089):20180252. doi:10.1259/bjr.20180252.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Shen W, Punyanitya M, Chen J, et al. Visceral adipose tissue: relationships between single slice areas at different locations and obesity-related health. Int J Obes (Lond). 2007;31:763-9.</mixed-citation><mixed-citation xml:lang="en">Shen W, Punyanitya M, Chen J, et al. Visceral adipose tissue: relationships between single slice areas at different locations and obesity-related health. Int J Obes (Lond). 2007;31:763-9.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Irlbeck T, Massaro Jm, Bamberg F, et al. Association between single-slice measurements of visceral and abdominal subcutaneous adipose tissue with volumetric measurements: the Framingham Heart Study. Int J Obes (Lond). 2010;34:781-7.</mixed-citation><mixed-citation xml:lang="en">Irlbeck T, Massaro Jm, Bamberg F, et al. Association between single-slice measurements of visceral and abdominal subcutaneous adipose tissue with volumetric measurements: the Framingham Heart Study. Int J Obes (Lond). 2010;34:781-7.</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Linder N, Solty K, Hartmann A, et al. Half-body MRI volumetry of abdominal adipose tissue in patients with obesity. BMC Med Imaging. 2019;19(1):80. doi:10.1186/s12880-019-0383-8.</mixed-citation><mixed-citation xml:lang="en">Linder N, Solty K, Hartmann A, et al. Half-body MRI volumetry of abdominal adipose tissue in patients with obesity. BMC Med Imaging. 2019;19(1):80. doi:10.1186/s12880-019-0383-8.</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Маркова Т. Н., Кичигин В. А., Диомидова В. Н. и др. Оценка объема жировой ткани антропометрическими и лучевыми методами и его связь с компонентами метаболического синдрома. Ожирение и метаболизм. 2013;10(2):23-7. doi:10.14341/2071-8713-4820.</mixed-citation><mixed-citation xml:lang="en">Markova TN, Kichigin VA, Diomidova VN, et al. Evaluation of adipose tissue mass with anthropometric and visualization methods; its relation to the components of the metabolic syndrome. Obesity and metabolism. 2013;10(2):23-7. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Коков А. Н., Брель Н. К., Масенко В. Л. и др. Количественная оценка висцерального жирового депо у больных ишемической болезнью сердца с использованием современных томографических методик. Комплексные проблемы сердечно-сосудистых заболеваний. 2017;(3):113-9. doi:10.17802/2306-1278-2017-6-3-113-119.</mixed-citation><mixed-citation xml:lang="en">Kokov AN, Brel NK, Masenko VL, et al. Quantitative assessment of visceral adipose depot in patients with ischemic heart disease by using of modern tomographic methods. Complex Issues of Cardiovascular Diseases. 2017;(3):113-9. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Романцова Т. И., Полубояринова И. В., Роик О. В. Динамика состояния жировой ткани по данным МР-томографии у больных ожирением на фоне лечения Редуксином. Ожирение и метаболизм. 2012;9(4):39-43. doi:10.14341/2071-8713-5128.</mixed-citation><mixed-citation xml:lang="en">Romantsova TI, Poluboyarinova IV, Roik OV. Dynamics of adipose tissue changes measured by MRI in obese patients during Reduxin treatment. Obesity and metabolism. 2012;9(4):39-43. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Ludescher B, Machann J, Eschweiler GW, et al. Correlation of fat distribution in whole body MRI with generally used anthropometric data. Invest Radiol. 2009;44:712-9.</mixed-citation><mixed-citation xml:lang="en">Ludescher B, Machann J, Eschweiler GW, et al. Correlation of fat distribution in whole body MRI with generally used anthropometric data. Invest Radiol. 2009;44:712-9.</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">West J, Dahlqvist Leinhard O, Romu T, et al. Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies. PLoS One. 2016;11(9):e0163332. doi:10.1371/journal.pone.0163332.</mixed-citation><mixed-citation xml:lang="en">West J, Dahlqvist Leinhard O, Romu T, et al. Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies. PLoS One. 2016;11(9):e0163332. doi:10.1371/journal.pone.0163332.</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Muller MJ, Enderle J, Pourhassan M, et al. Metabolic adaptation to caloric restriction and subsequent refeeding: the Minnesota Starvation Experiment revisited. Am J Clin Nutr. 2015;102:807-19.</mixed-citation><mixed-citation xml:lang="en">Muller MJ, Enderle J, Pourhassan M, et al. Metabolic adaptation to caloric restriction and subsequent refeeding: the Minnesota Starvation Experiment revisited. Am J Clin Nutr. 2015;102:807-19.</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Napolitano A, Miller SR, Murgatroyd PR, et al. Validation of a quantitative magnetic resonance method for measuring human body composition. Obesity (Silver Spring). 2008;16(1):191-8. doi:10.1038/oby.2007.29.</mixed-citation><mixed-citation xml:lang="en">Napolitano A, Miller SR, Murgatroyd PR, et al. Validation of a quantitative magnetic resonance method for measuring human body composition. Obesity (Silver Spring). 2008;16(1):191-8. doi:10.1038/oby.2007.29.</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Franz D, Karampinos DC, Rummeny EJ, et al. Discrimination between brown and white adipose tissue using a 2-point Dixon water-fat separation method in simultaneous PET/MRI. Nucl Med. 2015;56:1742-7.</mixed-citation><mixed-citation xml:lang="en">Franz D, Karampinos DC, Rummeny EJ, et al. Discrimination between brown and white adipose tissue using a 2-point Dixon water-fat separation method in simultaneous PET/MRI. Nucl Med. 2015;56:1742-7.</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Sun L, Yan J, Sun L, et al. A synopsis of brown adipose tissue imaging modalities for clinical research. Diabetes Metab. 2017;43(5):401-10. doi:10.1016/j.diabet.2017.03.008.</mixed-citation><mixed-citation xml:lang="en">Sun L, Yan J, Sun L, et al. A synopsis of brown adipose tissue imaging modalities for clinical research. Diabetes Metab. 2017;43(5):401-10. doi:10.1016/j.diabet.2017.03.008.</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Bartelt A, Heeren J. Adipose tissue browning and metabolic health. Nat Rev Endocrinol. 2014;10(1):24-36. doi:10.1038/nrendo.2013.204.</mixed-citation><mixed-citation xml:lang="en">Bartelt A, Heeren J. Adipose tissue browning and metabolic health. Nat Rev Endocrinol. 2014;10(1):24-36. doi:10.1038/nrendo.2013.204.</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Gariani K, Gariani J, Amzalag G, et al. Hybrid PET/MRI as a tool to detect brown adipose tissue: Proof of principle. Obes Res Clin Pract. 2015;9(6):613-7. doi:10.1016/j.orcp.2015.05.004.</mixed-citation><mixed-citation xml:lang="en">Gariani K, Gariani J, Amzalag G, et al. Hybrid PET/MRI as a tool to detect brown adipose tissue: Proof of principle. Obes Res Clin Pract. 2015;9(6):613-7. doi:10.1016/j.orcp.2015.05.004.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
