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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="en"><front><journal-meta><journal-id journal-id-type="publisher-id">V.F.Snegirev Archives of Obstetrics and Gynecology</journal-id><journal-title-group><journal-title xml:lang="en">V.F.Snegirev Archives of Obstetrics and Gynecology</journal-title><trans-title-group xml:lang="ru"><trans-title>Архив акушерства и гинекологии им. В.Ф. Снегирева</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2313-8726</issn><issn publication-format="electronic">2687-1386</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">642020</article-id><article-id pub-id-type="doi">10.17816/aog642020</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>Original study articles</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">Prediction of ovarian masses in pregnant women</article-title><trans-title-group xml:lang="ru"><trans-title>Возможность прогнозирования возникновения образований яичников у беременных</trans-title></trans-title-group><trans-title-group xml:lang="zh"><trans-title>妊娠期卵巢肿块发生的预测可能性</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9615-2134</contrib-id><contrib-id contrib-id-type="spin">4661-4751</contrib-id><name-alternatives><name xml:lang="en"><surname>Fatkullina</surname><given-names>Dinara A.</given-names></name><name xml:lang="ru"><surname>Фаткуллина</surname><given-names>Динара Акрамджановна</given-names></name><name xml:lang="zh"><surname>Fatkullina</surname><given-names>Dinara A.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Graduate Student</p></bio><bio xml:lang="ru"><p>аспирант</p></bio><bio xml:lang="zh"><p>Graduate Student</p></bio><email>mukhamadzhanova91@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2645-1662</contrib-id><contrib-id contrib-id-type="spin">2607-9150</contrib-id><name-alternatives><name xml:lang="en"><surname>Yashchuk</surname><given-names>Alfiya G.</given-names></name><name xml:lang="ru"><surname>Ящук</surname><given-names>Альфия Галимовна</given-names></name><name xml:lang="zh"><surname>Yashchuk</surname><given-names>Alfiya G.</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>д-р мед. наук, профессор</p></bio><bio xml:lang="zh"><p>MD, Dr. Sci. (Medicine), Professor</p></bio><email>alfiya_galimovna@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5520-5845</contrib-id><contrib-id contrib-id-type="spin">4829-1179</contrib-id><name-alternatives><name xml:lang="en"><surname>Musin</surname><given-names>Ilnur Ir.</given-names></name><name xml:lang="ru"><surname>Мусин</surname><given-names>Ильнур Ирекович</given-names></name><name xml:lang="zh"><surname>Musin</surname><given-names>Ilnur Ir.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Dr. Sci. (Medicine), Assistant Professor</p></bio><bio xml:lang="ru"><p>д-р мед. наук, доцент</p></bio><bio xml:lang="zh"><p>MD, Dr. Sci. (Medicine), Assistant Professor</p></bio><email>ilnur-musin@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6561-0892</contrib-id><contrib-id contrib-id-type="spin">9325-1326</contrib-id><name-alternatives><name xml:lang="en"><surname>Gareev</surname><given-names>Eugeny M.</given-names></name><name xml:lang="ru"><surname>Гареев</surname><given-names>Евгений Мусинович</given-names></name><name xml:lang="zh"><surname>Gareev</surname><given-names>Eugeny M.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Biology), Assistant Professor</p></bio><bio xml:lang="ru"><p>канд. биол. наук, доцент</p></bio><bio xml:lang="zh"><p>Cand. Sci. (Biology), Assistant Professor</p></bio><email>gem46@list.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Bashkir State Medical University</institution></aff><aff><institution xml:lang="ru">Башкирский государственный медицинский университет</institution></aff><aff><institution xml:lang="zh">Bashkir State Medical University</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2025-02-24" publication-format="electronic"><day>24</day><month>02</month><year>2025</year></pub-date><pub-date date-type="pub" iso-8601-date="2025-02-24" publication-format="electronic"><day>24</day><month>02</month><year>2025</year></pub-date><volume>12</volume><issue>1</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><issue-title xml:lang="zh"/><fpage>106</fpage><lpage>115</lpage><history><date date-type="received" iso-8601-date="2024-11-18"><day>18</day><month>11</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2024-12-11"><day>11</day><month>12</month><year>2024</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><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2027-04-11"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc-nd/4.0/</ali:license_ref></license></permissions><self-uri xlink:href="https://archivog.com/2313-8726/article/view/642020">https://archivog.com/2313-8726/article/view/642020</self-uri><abstract xml:lang="en"><p><bold>BACKGROUND</bold>: Ovarian masses during pregnancy are a common pathology, occurring in up to 3.2% of cases. However, data on recurrence after the removal of ovarian masses in women, which could help predict their potential occurrence, remain limited.</p> <p><bold>AIM</bold>: To assess the feasibility of predicting ovarian masses during pregnancy through a prognostic model based on data obtained using developed scoring systems.</p> <p><bold>MATERIALS AND METHODS</bold>: The study included 100 women in their second and third trimesters of pregnancy, divided into two groups: group 1 (main group) consisted of 50 pregnant women with ovarian masses that appeared for the first time (before the first delivery) or recurred (before the second delivery); group 2 (control group) included 50 pregnant women without ovarian pathology in either their first or subsequent pregnancies.</p> <p><bold>RESULTS</bold>: Two prognostic models were developed and tested on a random sample of 24 pregnant women with newly diagnosed or recurrent ovarian masses. The accuracy of the predictions was found to be acceptable, with a predictive accuracy of 83% in the first case and 62% in the second.</p> <p><bold>CONCLUSION</bold>: Prognostic models appear feasible for estimating the probability of both newly diagnosed and recurrent ovarian masses. This approach enhances diagnostic accuracy, improves prevention strategies for gynecological pathology, and aids in the selection of appropriate treatment and management strategies for patients with ovarian masses, even before ultrasound evaluation or surgical intervention.</p></abstract><trans-abstract xml:lang="ru"><p><bold>Обоснование</bold>. Образования яичников во время беременности являются часто встречаемой патологией и<bold> </bold>достигают 3,2%. Однако в литературных источниках мало данных о рецидивах после удаления образований яичников у женщин, которые могли бы предсказать их возможное возникновение.</p> <p><bold>Цель</bold>. Оценка прогнозирования возникновения образований яичников у женщин во время беременности в виде прогностического правила на основании данных, полученных с помощью разработанных шкал.</p> <p><bold>Материалы и методы</bold>. В исследование вошли 100 женщин во втором и третьем триместрах беременности. Они были разделены на две группы:<bold> </bold>1-я (основная) — 50 беременных с образованиями яичников, возникшими как впервые (перед первыми родами), так и повторно (перед вторыми родами); 2-я (контрольная) — 50 беременных без патологии как при первой, так и при повторной беременности.</p> <p><bold>Результаты</bold>. В ходе исследования были сформированы два прогностических правила, которые использовали на тестовой выборке случайно взятых 24 беременных с впервые и повторно возникшими образованиями яичников. Совпадение прогноза с реальным состоянием дел оказалось вполне приемлемым, степень прогноза в первом случае составила 83%, во втором — 62%.</p> <p><bold>Заключение</bold>. Применение прогностических правил является вполне возможным для диагностики оценки вероятности развития как впервые, так и повторно возникших образований яичников. Такой подход увеличивает точность диагностики, профилактики гинекологической патологии, а также помогает выбрать методы лечения и ведения пациенток с образованиями яичников ещё до УЗИ или оперативного вмешательства.</p></trans-abstract><trans-abstract xml:lang="zh"><p>背景。妊娠期卵巢肿块是一种常见病理状况，其发生率可达3.2%。然而，现有文献中关于卵巢肿块切除术后复发的研究较少，而这些数据可能有助于预测其再次发生的可能性。</p> <p>目的。评估基于评分量表数据建立预测规则的可行性，以预测妊娠期卵巢肿块的发生。</p> <p>材料与方法。本研究纳入100名妊娠中晚期的女性，并分为两组：第1组（研究组，n=50）妊娠期发生卵巢肿块，包括初次发生（首次妊娠前）及复发（再次妊娠前）；第2组（对照组，n=50）无卵巢肿块病史的妊娠女性（既往妊娠及当前妊娠均未出现病变）。</p> <p>结果。研究建立了两个预测模型，并在随机选取的24例妊娠期首次或复发性卵巢肿块患者中进行了测试。预测结果与实际情况的符合率较高，首次发生病例的预测准确度为83%，复发性病例的预测准确度为62%。</p> <p>结论。预测模型的应用可用于诊断评估妊娠期卵巢肿块的首次及复发性发生风险。这种方法提高了卵巢病变的诊断和预防准确性，同时有助于在超声检查或手术干预之前选择合适的治疗和管理策略。</p></trans-abstract><kwd-group xml:lang="en"><kwd>ovarian masses</kwd><kwd>pregnancy</kwd><kwd>cervical insufficiency</kwd><kwd>spontaneous abortion</kwd><kwd>myopia</kwd><kwd>obesity</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>опухоли яичников</kwd><kwd>беременность</kwd><kwd>истмико-цервикальная недостаточность</kwd><kwd>аборт</kwd><kwd>миопия</kwd><kwd>ожирение</kwd></kwd-group><kwd-group xml:lang="zh"><kwd>卵巢肿块</kwd><kwd>妊娠</kwd><kwd>峡部-宫颈机能不全</kwd><kwd>流产</kwd><kwd>近视</kwd><kwd>肥胖</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Adilgereyeva AS, Zhurabekova GA. 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