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Features Automated Volumetric Scanning (ABVS) in Specifying the Diagnosis of Breast Nodules

Abstract

Objective. To determine the effectiveness of the application of automated bulk scanning (ABVS) in specifying the diagnosis of breast nodules. Materials and Methods. The study involved 39 patients with pathologic formations in the mammary glands taken from the 915 held comprehensive mammography, including: clinical examination, ultrasound, digital X-ray mammography and needle biopsy on the basis of State Organization “Russian Scientific Center of Radiology” (RNTSRR) Ministry health of the Russian Federation for the period of 05.06 on 26.06.2014. Results. Possibilities and advantages of ABVS were detected. It was found that the automated sonotomography (3D ABVS) has more high sensitivity in the qualifying diagnosis in young women, nulliparous developed glandular tissue. Sensitivity (3D ABVS) in detecting breast cancer was 99.9%. Conclusions. The ultrasound scan with automated volume breast is an additional method in the differential diagnosis of thyroid nodules and can be included in the diagnostic algorithm study of this group of patients.

About the Authors

Maria Andreevna Shershneva
Russian Scientific Center of Roentgenoradiology
Russian Federation


Vladimir Alekseevich Solodkiy
Russian Scientific Center of Roentgenoradiology
Russian Federation


Elena Valerievna Meskih
Russian Scientific Center of Roentgenoradiology
Russian Federation


Veronika Evgenivna Gazhonova
Central State Medical Academy of the President of the Russian Federation office
Russian Federation


Nikolai Vasilevich Nudnov
Russian Scientific Center of Roentgenoradiology
Russian Federation


References

1. Давыдов М.И., Аксель Е.М. Заболеваемость и смертность от рака молочной железы. Большая конференция RUSSCO рак молочной железы. Рак молочной железы. Материалы. М., 2014: 34.

2. Ferlay J., Shin H., Bray F. et al. GLOBOCAN-2012 v 3.0. Cancer incidence and mortality worldwide: IARC Cancer Base No. 10. International agency for research on cancer. URL: http://globocan.iarc.fr/old/agespecific_table_n.asp?selection=163643&title=Russian+Federation&sex=2&type=0&stat=1&window=1&sort=0&submit=%C2%A0Execute (Дата обращения 08.09.2015 г.).

3. Заец М.В. Возможности эластографии в комплексной диагностике непальпируемых злокачественных образований молочной железы. Вестник РНЦРР. 2012; 12: URL: http://vestnik.rncrr.ru/vestnik/v12/papers/zaets_v12.htm.

4. Рожкова Н.И., Бурдина И.И., Дабагов А.Р. и др Лучевая диагностика в маммологии: Руководство для врачей; Под ред. Рожковой Н.И. М.: СИМК, 2013. 121 c.

5. Осипов Л.В. Ультразвуковые диагностические приборы. Режимы, методы и технологии: Практическое руководство для пользователей. М.: Изомед, 2011. 316 с.

6. Shin H.J., Kim H.H., Cha J.H. et al. Automated ultrasound of the breast for diagnosis: interobserver agreement on lesion detection and characterization. Am. J. Roentgenol. 2011; 13 (3): 747-754.

7. Wojcinski S., Farrokh A., Hille U. et al. The automated breast volume scanner (ABVS): initial experiences in lesion detection compared with conventional handheld B-mode ultrasound: a pilot study of 50 cases. Int. J. Women’s Health. 2011; 337-346.

8. Lin X., Wang J., Han F. et al. Analysis of eighty-one cases with breast lesions using automated breast volume scanner and comparison with handheld ultrasound. Eur. J. Radiol. 2012; 13 (5): 873-878.

9. Wang Z.L., Xw J.H., Li J.L. et al. Comparison of automated breast volume scanning to hand-held ultrasound and mammography. Radiol. Med. 2012; 13 (8): 1287-1293.

10. Wang H.Y., Jiang Y.X., Zhu Q.L. et al. Differentiation of benign and malignant breast lesions: a comparison between automatically generated breast volume scans and handheld ultrasound examinations. Eur. J. Radiol. 2012; 13 (11): 3190-3200.

11. Wang Z.L., Xu J.H., Li J.L. et al. Erratum to: comparison of automated breast volume scanning to hand-held ultrasound and mammography. Radiol. Med. 2012; 13 (8): 1443.

12. Golatta M., Franz D., Harcos A. et al. Interobserver reliability of automated breast volume scanner (ABVS) interpretation and agreement of ABVS findings with hand held breast ultrasound (HHUS), mammography and pathology results. Eur. J. Radiol. 2013; 13 (8): 332-336.

13. Якобс О.Э., Рожкова Н.И., Мазо М.Л., Микушин С.Ю. Опыт использования виртуальной сонографии молочной железы. Вестник рентгенологии и радиологии. 2014; 1: 23-32.

14. Гажонова В.Е., Ефремова М.П., Хлюстина Е.М. и др. Автоматическая сонотомография молочных желез (Automated Breast Volume Sonography) - новая методика диагностики рака. Медицинская визуализация. 2015; 2: 67-77.

15. Zonderland H., Smithuis R. Bi-RADS for mammography and ultrasound 2013 updated version. URL:. http://www.radiologyassistant.nl/en/p53b4082c92130/bi-rads-formammography-and-ultrasound-2013.html (Дата обращения 07.09.2015г.).

16. Гажонова В.Е., Бачурина Е.М., Хлюстина Е.М., Кулешова Т.Н. Автоматизированная сонотомография молочных желез (3D ABVS). Часть 1. Интеграция УЗ-метода в радиологические стандарты томографии. Лучевая диагностика. 2014; Спецвыпуск 3: 42-48.

17. Гажонова В.Е., Бачурина Е.М., Хлюстина Е.М. и др. Автоматизированная сонотомография молочных желез (3D ABVS). Часть 2. Клиническое применение сонотомографии в диагностике рака молочных желез. Лучевая диагностика. 2014; Спецвыпуск 5: 33-41.


Review

For citations:


Shershneva M.A., Solodkiy V.A., Meskih E.V., Gazhonova V.E., Nudnov N.V. Features Automated Volumetric Scanning (ABVS) in Specifying the Diagnosis of Breast Nodules. Medical Visualization. 2016;(1):106-112. (In Russ.)

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ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)