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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">Subscription journal</journal-id><journal-title-group><journal-title xml:lang="en">Subscription journal</journal-title><trans-title-group xml:lang="ru"><trans-title>Подписной журнал</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2411-8729</issn><issn publication-format="electronic">2409-4161</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">16208</article-id><article-id pub-id-type="doi">10.17816/fm16208</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Original study articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Оригинальные исследования</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="zh"><subject>原创研究</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Sex determination by pelvic osteometry using discriminant analysis</article-title><trans-title-group xml:lang="ru"><trans-title>Определение половой принадлежности по остеометрическим признакам тазовых костей с помощью дискриминантного анализа</trans-title></trans-title-group><trans-title-group xml:lang="zh"><trans-title>通过判别分析，根据骨盆骨测量法特征确定性别</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0004-0823-778X</contrib-id><contrib-id contrib-id-type="spin">2011-4352</contrib-id><name-alternatives><name xml:lang="en"><surname>Peregoroda</surname><given-names>Sergey A.</given-names></name><name xml:lang="ru"><surname>Перегорода</surname><given-names>Сергей Александрович</given-names></name><name xml:lang="zh"><surname>Peregoroda</surname><given-names>Sergey A.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD</p></bio><bio xml:lang="zh"><p>MD</p></bio><email>sergej.peregoroda@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3683-6507</contrib-id><contrib-id contrib-id-type="scopus">7006414488</contrib-id><contrib-id contrib-id-type="spin">9344-4417</contrib-id><name-alternatives><name xml:lang="en"><surname>Zaichenko</surname><given-names>Aleksandr A.</given-names></name><name xml:lang="ru"><surname>Зайченко</surname><given-names>Александр Анатольевич</given-names></name><name xml:lang="zh"><surname>Zaichenko</surname><given-names>Aleksandr A.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Dr. Sci. (Medicine), Professor</p></bio><bio xml:lang="ru"><p>доктор медицинских наук, профессор</p></bio><bio xml:lang="zh"><p>MD, Dr. Sci. (Medicine), Professor</p></bio><email>zaichenko1958@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Saratov Medical University named after V.I. Razumovsky</institution></aff><aff><institution xml:lang="ru">Саратовский государственный медицинский университет имени В.И. Разумовского</institution></aff><aff><institution xml:lang="zh">Saratov Medical University named after V.I. Razumovsky</institution></aff></aff-alternatives><content-language>ru</content-language><content-language>en</content-language><pub-date date-type="preprint" iso-8601-date="2025-03-21" publication-format="electronic"><day>21</day><month>03</month><year>2025</year></pub-date><fpage>16</fpage><lpage>24</lpage><history><date date-type="received" iso-8601-date="2024-10-29"><day>29</day><month>10</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2025-01-24"><day>24</day><month>01</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Эко-Вектор</copyright-statement><copyright-statement xml:lang="zh">Copyright ©; 2025,</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Eco-Vector</copyright-holder><copyright-holder xml:lang="ru">Эко-Вектор</copyright-holder></permissions><self-uri xlink:href="https://nginx.mia-letum.ru/subscr/article/view/16208">https://nginx.mia-letum.ru/subscr/article/view/16208</self-uri><abstract xml:lang="en"><p>BACKGROUND: One of the current challenges of forensic medicine is the sex identification of skeletal remains. Sex determination from isolated bones is considered a particularly difficult task. Consequently, increased attention has been paid to investigating the possibility of sex identification from an isolated pelvis.</p> <p>AIM: To develop a method for morphological sex determination by pelvis osteometry using multiple discriminant analysis and evaluating its accuracy.</p> <p>MATERIALS AND METHODS: The objects of the study were the pelvic skeletons (n=84) of individuals of both sexes aged 18 to 86 years from the collection of the Department of Human Anatomy of the V.I. Razumovsky Saratov State Medical University, as well as 11 male (19–76 years) and 14 female (18–80 years) pelvises from the collection of the Department of Human Anatomy, Operative Surgery and Topographic Anatomy of the St. Luke Lugansk State Medical University. Measurements were made by V.P. Alekseev’s method using a large spreading caliper, a sliding caliper, and a measuring tape. Classification models were built by stepwise discriminant analysis.</p> <p>RESULTS: A model with a set of variables is obtained, which allows determining the sex of skeletal remains with consideration of osteometric data. The identification accuracy of the model was 90.4%. When tested on the verification group, an accuracy of 84% was obtained. The following data used in the mathematical model showed statistically significant differences: pelvis height, ischium height, and the largest diameter of the acetabulum (p &lt;0.01).</p> <p>CONCLUSION: The study allowed creating a mathematical model that can be used for sex determination of skeletal remains taking into account seven osteometric parameters of the pelvis; the theoretical and practical accuracy of the model was 90.4% and 84%, respectively.</p></abstract><trans-abstract xml:lang="ru"><p><bold>Обоснование</bold><bold>. </bold>Одной из актуальных проблем судебной медицины является половая идентификация личности по костным останкам. Особенно сложной задачей считают определение пола по изолированным костям. В связи с этим повышенное внимание уделяют изучению возможности половой идентификации по изолированной тазовой кости.</p> <p><bold>Цель исследования </bold>— разработка метода определения соматического пола с помощью остеометрических признаков скелетированных тазовых костей с использованием многомерного дискриминантного анализа и оценка его точности.</p> <p><bold>Материалы и методы. </bold>Объектом исследования послужили скелетированные тазовые кости (<italic>n</italic>=84) лиц обоего пола в возрасте от 18 до 86 лет из коллекции кафедры анатомии человека Саратовского государственного медицинского университета имени В.И. Разумовского, а также 11 тазовых костей мужчин (19–76 лет) и 14 — женщин (18–80 лет) из коллекции кафедры анатомии человека, оперативной хирургии и топографической анатомии Луганского государственного медицинского университета имени Святителя Луки. Измерения проводили с помощью большого толстотного циркуля, скользящего циркуля и сантиметровой ленты по методу В.П. Алексеева. Классификационные модели строили путём пошагового дискриминантного анализа.</p> <p><bold>Результаты. </bold>Получена модель с набором переменных, позволяющая определить половую принадлежность костных останков с учётом остеометрических признаков. Идентификационная точность модели составила 90,4%. При проверке на группе верификации получена точность 84%. Статистически значимые отличия демонстрировали следующие размеры, используемые в математической модели: высота тазовой кости, высота седалищной кости, наибольший диаметр вертлужной впадины (<italic>p</italic> &lt;0,01).</p> <p><bold>Заключение. </bold>Проведённое исследование позволило создать математическую модель, которую можно использовать для половой идентификации костных останков с учётом 7 остеометрических параметров тазовой кости, теоретическая и практическая точность модели составила 90,4 и 84% соответственно.</p></trans-abstract><trans-abstract xml:lang="zh"><p>理由。法医学的一个现实性问题是从骨骼遗骸中识别个人性别。通过独立骨骼确定性别是一项十分困难的任务。因此，人们十分关注通过独立骨盆进行性别鉴定的可能性。</p> <p>目的。 通过骨盆骨测量法特征，采用多维判断分析及其准确性评估，开发确定躯体性别的方法。</p> <p>材料和方法。研究对象 - 年龄18至86岁的男女骨盆骨（n=84)，（以V.I.拉祖莫夫命名的萨拉托夫国立医科大学人体解剖学系的标本），以及11块男性（19-76岁）和14块女性（18-80岁） 骨盆骨（卢甘斯克国立医科大学人体解剖学、外科手术和局部解剖学系标本）。使用大厚圆规、滑动圆规和厘米尺按照V.P.阿列克谢耶夫方法进行测量。通过逐步判别分析建立分类模型。</p> <p>结果。获得具有一组变量的模型，可以在考虑骨测量特征的情况下，确定骨遗骸的性别。模型识别的准确率为90.4%。在验证组进行测试时，取得了84%的准确率。数学模型中使用的以下尺寸显示出具有统计学意义的差异，即骨盆高度、坐骨高度、髋臼最大直径（p&lt;0,01)。</p> <p>结论。该研究建立了一个数学模型，可结合7个骨盆骨测量参数，用其进行骨遗骸性别鉴定，该模型的理论准确率和实践准确率分别为90.4%和84%。</p></trans-abstract><kwd-group xml:lang="en"><kwd>pelvis</kwd><kwd>sex determination</kwd><kwd>discriminant analysis</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>тазовая кость</kwd><kwd>определение пола</kwd><kwd>дискриминантный анализ</kwd></kwd-group><kwd-group xml:lang="zh"><kwd>骨盆</kwd><kwd>性别判定</kwd><kwd>判别分析</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Yankovski VE, Fominykh SA, Pivovarov AV, Belyaev IA. 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