Errors of sonography in the diagnosis of the prevalence rate of ovarian cancer


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The article is devoted to the diagnosis of ovarian cancer diseases with the use of sonographic examination. There were evaluated possibilities and disadvantages of the sonographic ultrasonic method in the evaluation of the prevalence rate of ovarian cancer. The study summarizes the results of the observation of 500 patients with the diagnosis of ovarian cancer, underwent the comprehensive treatment. For the improvement of the quality ofgynecological cancer diagnosis of diseases and the identification of causes of diagnostic errors, there was performed a comparative analysis of ultrasound conclusions, data about operation findings and results of morphological studies of drugs.

作者简介

Aleksandr Vostrov

«National Medical Research Center of Radiology»

Email: Alexandr-V65@yandex.ru
MD, PhD, senior researcher of the Unit of Sonographic diagnostics of the P.A. Gerzen Moscow Cancer Research Institute, branch of the “National Medical Research Center of Radiology” Moscow, 125284, Russian Federation

V. Kazakevich

«National Medical Research Center of Radiology»

P.A. Gerzen Moscow Cancer Research Institute Moscow, 125284, Russian Federation

L. Mitina

«National Medical Research Center of Radiology»

P.A. Gerzen Moscow Cancer Research Institute Moscow, 125284, Russian Federation

S. Stepanov

«National Medical Research Center of Radiology»

P.A. Gerzen Moscow Cancer Research Institute Moscow, 125284, Russian Federation

N. Skreptsova

«National Medical Research Center of Radiology»

P.A. Gerzen Moscow Cancer Research Institute Moscow, 125284, Russian Federation

E. Novikova

«National Medical Research Center of Radiology»

P.A. Gerzen Moscow Cancer Research Institute Moscow, 125284, Russian Federation

参考

  1. Синицина М.Е. Роль ультразвуковой томографии в предоперационном стадировании и оценке эффективности лечения рака яичников: Дисс. ... канд. мед. наук. М.; 2007.
  2. Бохман Я.В. Лекции по онкогинекологии. М.: Медицинское информационное агентство; 2007.
  3. Савельева Г.М. и др. Значение дополнительных методов исследования в диагностике опухолей и опухолевидных образований яичников. Международный медицинский журнал. 2001; (1): 79-87.
  4. Каприн А.Д., Старинский В.В., Петрова Г.В. (ред.). Состояние онкологической помощи населению России в 2013 году. М.; 2014.
  5. Jayde V., White K., Blomfield P. Symptoms and diagnostic delay in ovarian cancer: a summary of the literature. Contemp. Nurse. 2009; 34: 55-65.
  6. Medeiros L.R., Freitas L.B., Rosa D.D., Silva F.R., Silva L.S., Birtencourt L.T. et al. Accuracy of magnetic resonance imaging in ovarian tumor: a systematic quantitative review. Am. J. Obstet. Gynecol. 2011; 204 (1): 67.e1-10.
  7. Carter J. An experience with transvaginal sonography in gynecologic tumors surveillance Aust. N. Z. J. Obstet. Gynecol. 2000; 40 (4): 438-41.
  8. Jelovac D., Armstrong D.K. Recent progress in the diagnosis and treatment of ovarian cancer. C.A. Cancer J. Clin. 2011; 61(3): 183-203.
  9. Levi S. The history of ultrasound in gynecology 1950-1980. Ultrasound Med. Biol. 1997; 23(4): 481-552.
  10. Pfeifer S.M., Gosman G.G. Evaluation of adnexal masses in adolescents. Pediatr. Clin. N. Am. 1999; 46(3): 573-92.
  11. Kratochwil A., Urban G., Friedrich F. Ultrasonic tomography of the ovaries. Ann. Chir. Gynaecol. Fenn. 1972; 61(4): 211-4.
  12. Sassone A.M., Timor-Trish I.E., Artner A., Westhoff C., Warren W.B. Transvaginal sonographic characterization of ovarian disease: evaluation of a new scoring system to predict ovarian malignancy. Obstet. and Gynecol. 1991; 78: 70-6.
  13. Fischerova D. Ultrasound scanning of the pelvis and abdomen for staging of gynecological tumors: a review. Ultrasound Obstet. Gynecol. 2011; 38(3): 246-66.
  14. Трофимова Е.Ю., Новикова Е.Г., Востров А.Н. Ошибки ультразвуковой диагностики в онкогинекологии. Рос. онкол. журн. 1999; (1): 24-9.

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