<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">vmireaviz</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник медицинского института «РЕАВИЗ». Реабилитация, Врач и Здоровье</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of the Medical Institute "REAVIZ" (REHABILITATION, DOCTOR AND HEALTH)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2226-762X</issn><issn pub-type="epub">2782-1579</issn><publisher><publisher-name>РЕАВИЗ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.20340/vmi-rvz.2024.1.MIM.1</article-id><article-id custom-type="elpub" pub-id-type="custom">vmireaviz-904</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>Медицинская визуализация</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Medical Imaging</subject></subj-group></article-categories><title-group><article-title>Сравнение шкал BI-RADS И Кайзера для оценки злокачественности образований молочных желёз</article-title><trans-title-group xml:lang="en"><trans-title>Comparison of the BI-RADS and Kaiser scales for assessing the malignancy of mammary gland formations</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8236-833X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Суровцев</surname><given-names>Е. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Surovtsev</surname><given-names>E. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Суровцев Евгений Николаевич - ассистент кафедры лучевой диагностики и лучевой терапии, ул. Чапаевская, д. 89, г. Самара, 443099;главный врач, ул. Октябрьская, д. 68, корп. 4, г. Тольятти, 445000</p></bio><bio xml:lang="en"><p>Evgeniy N. Surovtsev - Assistant of the Department of Diagnostic Radiology and Radiation Therapy, 89, st. Chapaevskaya, Samara, 443099;</p><p>Chief Physician, 68, building 4, Oktyabrskaya str., Tolyatti, 445000</p></bio><email xlink:type="simple">evgeniisurovcev@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/0000-0002-6858-372X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Капишников</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kapishnikov</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Капишников Александр Викторович - д-р мед. наук, доцент, заведующий кафедрой лучевой диагностики и лучевой терапии, </p><p>ул. Чапаевская, д. 89, г. Самара, 443099</p></bio><bio xml:lang="en"><p>Aleksandr V. Kapishnikov - Dr. Sci. (Med.), Associate Professor, Head of the Diagnostic Radiology and Radiation Therapy, </p><p>89, st. Chapaevskaya, Samara, 443099</p></bio><email xlink:type="simple">a.kapishnikov@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7241-6828</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пышкина</surname><given-names>Ю. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Pyshkina</surname><given-names>Yu. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Пышкина Юлия Сергеевна - канд. мед. наук, доцент, доцент кафедры лучевой диагностики и лучевой терапии,</p><p>ул. Чапаевская, д. 89, г. Самара, 443099</p></bio><bio xml:lang="en"><p>Yuliya S. Pyshkina - Cand. Sci. (Med.), Associate Professor, Associate Professor of the Department of Radiology and Radiation Therapy,</p><p>89, st. Chapaevskaya, Samara, 443099</p></bio><email xlink:type="simple">yu.pyshkina@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0009-6820-1670</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Галочкина</surname><given-names>М. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Galochkina</surname><given-names>M. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Галочкина Маргарита Витальевна - студентка института клинической медицины,</p><p>ул. Чапаевская, д. 89, г. Самара, 443099</p></bio><bio xml:lang="en"><p>Margarita V. Galochkina - Student of clinical medicine faculty, </p><p>89, st. Chapaevskaya, Samara, 443099</p></bio><email xlink:type="simple">margalochka@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Самарский государственный медицинский университет;&#13;
Лечебно-диагностический центр Международного института биологических систем имени Сергея Березина – Тольятти</institution></aff><aff xml:lang="en"><institution>Samara State Medical University;&#13;
Medical and Diagnostic Center of the Togliatti International Institute of Biological Systems</institution></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Самарский государственный медицинский университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Samara State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>29</day><month>12</month><year>2023</year></pub-date><volume>14</volume><issue>1</issue><fpage>153</fpage><lpage>158</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Суровцев Е.Н., Капишников А.В., Пышкина Ю.С., Галочкина М.В., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Суровцев Е.Н., Капишников А.В., Пышкина Ю.С., Галочкина М.В.</copyright-holder><copyright-holder xml:lang="en">Surovtsev E.N., Kapishnikov A.V., Pyshkina Y.S., Galochkina M.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://vestnik.reaviz.ru/jour/article/view/904">https://vestnik.reaviz.ru/jour/article/view/904</self-uri><abstract><sec><title>Актуальность</title><p>Актуальность. Диагностика рака молочной железы остаётся во многом нерешённой проблемой, несмотря на внедрение программ скрининга. В последнее время магнитно-резонансная томография стала чаще использоваться не только как уточняющий, но и как первичный метод диагностики рака молочной железы. В качестве инструментов помощи для принятия решения по результатам лучевого исследования молочных желёз разработаны системы унифицированной оценки: BI-RADS и Кайзер. Шкала BI-RADS обеспечивает системный подход при описании изображений молочной железы различных модальностей. Система Кайзер, напротив, является узкоспециализированной и подходит для интерпретации данных только магнитно-резонансных томограмм.</p><p>Цель исследования – определить сходимость экспертов в оценке состояния молочной железы с помощью шкал BI-RADS и Кайзер.</p></sec><sec><title>Объект и методы</title><p>Объект и методы. Обследовано 40 пациенток (средний возраст 45 лет), проанализировано 87 новообразований и зон изменений. Исследования выполнялись на магнитно-резонансном томографе с индукцией магнитного поля 1,5 Т с соответствующими протоколами сканирования, оценка результатов проводилась независимыми экспертами с опытом работы и без опыта. Для оценки результатов использовались корреляционный анализ Спирмена и коэффициент конкордации Кендалла.</p></sec><sec><title>Результаты</title><p>Результаты. Корреляционный анализ Спирмена показал наличие взаимосвязи между баллами BI-RADS и Кайзер у эксперта без опыта. Согласованность мнений экспертов была выше при использовании системы Кайзер и составила 0,66, а шкалы BI-RADS – 0,53.</p></sec><sec><title>Заключение</title><p>Заключение. Отсутствие корреляции между баллами шкалы BI-RADS и системы Кайзер у эксперта с опытом свидетельствует о существенном вкладе специфических магнитно-резонансных признаков. Согласованность мнений экспертов при использовании системы Кайзера выше, чем при использовании шкалы BI-RADS.</p></sec></abstract><trans-abstract xml:lang="en"><p>Diagnosis of breast cancer remains a largely unsolved problem, despite the introduction of screening programs. Recently, magnetic resonance imaging has become more often used not only as a clarifying method, but also as a primary method for diagnosing breast cancer. Unified assessment systems have been developed as tools to assist in decision-making based on the results of radiation examination of the mammary glands: BI-RADS and Kaiser. The BI-RADS score provides a systematic approach to the description of breast images of various modalities. The Kaiser system, on the contrary, is highly specialized and is suitable for interpreting magnetic resonance imaging data only.</p><sec><title>Purpose</title><p>Purpose. To determine the agreement of experts in assessing breast condition using the BI-RADS and Kaiser scales.</p></sec><sec><title>Object and methods</title><p>Object and methods. We examined 40 patients (average age 45 years), we analyzed 87 neoplasms and areas of changes. The studies were performed on a magnetic resonance imaging scanner with a magnetic field of 1.5 T with appropriate scanning protocols, the results were assessed by independent experts with and without experience. Spearman's correlation analysis and Kendall's coefficient of concordance were used to analyze the results.</p></sec><sec><title>Results</title><p>Results. Spearman's correlation showed a relationship between BI-RADS scores and Kaiser in the inexperienced rater. The agreement between experts was higher when using the Kaiser system - 0.66, using the BI-RADS scale – 0.53.</p></sec><sec><title>Conclusion</title><p>Conclusion. The lack of correlation between BI-RADS and Kaiser scores in an experienced examiner suggests a significant contribution of specific magnetic resonance features. The agreement between experts using the Kaiser system is higher than when using the BI-RADS scale.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>рак молочной железы</kwd><kwd>магнитно-резонансная томография</kwd><kwd>молочная железа</kwd><kwd>BI-RADS</kwd><kwd>система Кайзер</kwd></kwd-group><kwd-group xml:lang="en"><kwd>breast cancer</kwd><kwd>magnetic resonance imaging</kwd><kwd>mammary gland</kwd><kwd>BI-RADS</kwd><kwd>Kaiser</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">Zhang Y.N., Xia K.R., Li C.Y., Wei B.L., Zhang B. Review of breast cancer pathologigcal image processing. Biomed Res Int. 2021;2021:1994764. PMID: 34595234. http://doi.org/10.1155/2021/1994764</mixed-citation><mixed-citation xml:lang="en">1 Zhang Y.N., Xia K.R., Li C.Y., Wei B.L., Zhang B. Review of breast cancer pathologigcal image processing. Biomed Res Int. 2021;2021:1994764. PMID: 34595234. http://doi.org/10.1155/2021/1994764</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Dietzel M., Baltzer P.A.T. How to use the Kaiser score as a clinical decision rule for diagnosis in multiparametric breast MRI: a pictorial essay. Insights Imaging. 2018;9(3):325-335. PMID: 29616496. https://doi.org/10.1007/s13244-018-0611-8</mixed-citation><mixed-citation xml:lang="en">2 Dietzel M., Baltzer P.A.T. How to use the Kaiser score as a clinical decision rule for diagnosis in multiparametric breast MRI: a pictorial essay. Insights Imaging. 2018;9(3):325-335. PMID: 29616496. https://doi.org/10.1007/s13244-018-0611-8</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Корженкова Г.П. Диагностическое значение категорий BI-RADS в ведении пациенток с доброкачественной патологией молочных желез. Опухоли женской репродуктивной системы. 2016;12(4):10-16. https://doi.org/10.17650/1994-4098-2016-12-4-10-16</mixed-citation><mixed-citation xml:lang="en">3 Korzhenkova G.P. Diagnostic value of BI-RADS categories in the management of patients with benign breast pathology. Tumors of Female Reproductive System. 2016;12(4):10-16. (In Russ). https://doi.org/10.17650/1994-4098-2016-12-4-10-16</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Kim K.S. Clinical application of ultrasound-guided core needle biopsy of the breast. Clinical Ultrasound. 2022;7(1):22-26. https://doi.org/10.18525/cu.2022.7.1.22</mixed-citation><mixed-citation xml:lang="en">4 Kim K.S. Clinical application of ultrasound-guided core needle biopsy of the breast. Clinical Ultrasound. 2022;7(1):22-26. https://doi.org/10.18525/cu.2022.7.1.22</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Fujimoto А., Yamada H., Hasebe T., Saeki T. Breast cancer seeding in the biopsy route observed on preoperative imaging. BMJ Case Rep. 2021;14(6):e242741. PMID: 34158328. https://doi.org/10.1136/bcr-2021-242741</mixed-citation><mixed-citation xml:lang="en">5 Fujimoto А., Yamada H., Hasebe T., Saeki T. Breast cancer seeding in the biopsy route observed on preoperative imaging. BMJ Case Rep. 2021;14(6):e242741. PMID: 34158328. https://doi.org/10.1136/bcr-2021-242741</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Дитцель М., Мазо М.Л., Рожкова Н.И., Хоружик С.А., Куплевацкая Д.И., Бусько Е.А. и др. Как использовать шкалу Кайзера для принятия диагностических решений при мультипараметрической МРТ молочной железы. REJR. 2020;10(3):58-76. https://doi.org/10.21569/2222-7415-2020-10-3-58-76</mixed-citation><mixed-citation xml:lang="en">6 Dietzel M., Mazo M.L., Rozhkova N.V., Kharuzhyk S.A., Kuplevatskaya D.I., Busko E.A., et al. How to use the Kaiser score as a clinical decision rule for diagnosis in multiparametric breast MRI. REJR. 2020;10(3):58-76. (In Russ). https://doi.org/10.21569/2222-7415-2020-10-3-58-76</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Choi J.S. Breast imaging reporting and data system (BI-RADS): advantages and limitations. J Korean Soc Radiol. 2023:84(1):3-14. PMID: 36818717. https://doi.org/10.3348/jksr.2022.0142</mixed-citation><mixed-citation xml:lang="en">7 Choi J.S. Breast imaging reporting and data system (BI-RADS): advantages and limitations. J Korean Soc Radiol. 2023:84(1):3-14. PMID: 36818717. https://doi.org/10.3348/jksr.2022.0142</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Eghtedari M., Chong A., Rakow-Penner R., Ojeda-Fournier H. Current status and future of BI-RADS in multimodality imaging. AJR Am J Roentgenol. 2021;216(4):860-873. PMID: 33295802. https://doi.org/10.2214/AJR.20.24894</mixed-citation><mixed-citation xml:lang="en">8 Eghtedari M., Chong A., Rakow-Penner R., Ojeda-Fournier H. Current status and future of BI-RADS in multimodality imaging. AJR Am J Roentgenol. 2021;216(4):860-873. PMID: 33295802. https://doi.org/10.2214/AJR.20.24894</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Jajodia A., Sindhwani G., Pasricha S., Prosch H., Puri S., Dewan A., et al. Application of the Kaiser score to increase diagnostic accuracy in equivocal lesions on diagnostic mammograms referred for MR mammography. Eur J Radiol. 2021;134:109413. PMID: 33290973. https://doi.org/10.1016/j.ejrad.2020.109413</mixed-citation><mixed-citation xml:lang="en">9 Jajodia A., Sindhwani G., Pasricha S., Prosch H., Puri S., Dewan A., et al. Application of the Kaiser score to increase diagnostic accuracy in equivocal lesions on diagnostic mammograms referred for MR mammography. Eur J Radiol. 2021;134:109413. PMID: 33290973. https://doi.org/10.1016/j.ejrad.2020.109413</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Milos R.I., Pipan F., Kalovidouri A., Clauser P., Kapetas P., Bernathova M, et al. The Kaiser score reliably excludes malignancy in benign contrast-enhancing lesions classified as BI-RADS 4 on breast MRI high-risk screening exams. Eur Radiol. 2020;30(11):6052-6061. PMID: 32504098. https://doi.org/10.1007/s00330-020-06945-z</mixed-citation><mixed-citation xml:lang="en">10 Milos R.I., Pipan F., Kalovidouri A., Clauser P., Kapetas P., Bernathova M, et al. The Kaiser score reliably excludes malignancy in benign contrast-enhancing lesions classified as BI-RADS 4 on breast MRI high-risk screening exams. Eur Radiol. 2020;30(11):6052-6061. PMID: 32504098. https://doi.org/10.1007/s00330-020-06945-z</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Первушкин С.С., Зельтер П.М., Крамм Е.К., Сартакова Е.А. Сравнение уровня экспертного согласия в оценке объема поражения при COVID-19-ассоциированной пневмонии на компьютерной томографии грудной клетки. Вестник Российской академии медицинских наук. 2022;77(2):97-106. https://doi.org/10.15690/vramn1644</mixed-citation><mixed-citation xml:lang="en">11 Pervushkin S.S., Zelter P.M., Kramm E.K., Sartakova E.A. Comparison of intra- and inter-observer consistency (intraexpert reliability, inter-expert reliability) in assessing the extent of COVID-19 pneumonia lesions on chest computed tomography. Annals of the Russian Academy of Medical Sciences. 2022;77(2):97–106. (In Russ.). https://doi.org/10.15690/vramn1644</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Aydin H. The MRI characteristics of non-mass enhancement lesions of the breast: associations with malignancy. Br J Radiol. 2019;92(1096):20180464. PMID: 30673299. https://doi.org/10.1259/bjr.20180464</mixed-citation><mixed-citation xml:lang="en">12 Aydin H. The MRI characteristics of non-mass enhancement lesions of the breast: associations with malignancy. Br J Radiol. 2019;92(1096):20180464. PMID: 30673299. https://doi.org/10.1259/bjr.20180464</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Dietzel M., Baltzer P.A.T. How to use the Kaiser score as a clinical decision rule for diagnosis in multiparametric breast MRI: a pictorial essay. Insights Imaging. 2018;9(3):325-335. PMID: 29616496. https://doi.org/10.1007/s13244-018-0611-8</mixed-citation><mixed-citation xml:lang="en">13 Dietzel M., Baltzer P.A.T. How to use the Kaiser score as a clinical decision rule for diagnosis in multiparametric breast MRI: a pictorial essay. Insights Imaging. 2018;9(3):325-335. PMID: 29616496. https://doi.org/10.1007/s13244-018-0611-8</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang B., Feng L., Wang L., Chen X., Li X., Yang Q. Kaiser score for diagnosis of breast lesions presenting as non-mass enhancement on MRI. Nan Fang Yi Ke Da Xue Xue Bao. 2020;40(4):562-566. PMID: 32895136. https://doi.org/10.12122/j.issn.1673-4254.2020.04.18</mixed-citation><mixed-citation xml:lang="en">14 Zhang B., Feng L., Wang L., Chen X., Li X., Yang Q. Kaiser score for diagnosis of breast lesions presenting as non-mass enhancement on MRI. Nan Fang Yi Ke Da Xue Xue Bao. 2020;40(4):562-566. PMID: 32895136. https://doi.org/10.12122/j.issn.1673-4254.2020.04.18</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>
