Endovideosurgical technology in the diagnosis and treatment of benign ovarian tumors

Cover Page


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

The article deals with the new possibilities of laparoscopic technique in diagnosis and treatment of ovarian tumors. The authors elaborate the criteria of differential diagnostics of benign and malignant ovarian tumors at early stages. The research is based on the analysis of 222 cases of different ovarian tumors. The authors state the necessity of rational preoperative preparation and obligatory screening in patients with ovarian tumors before and after the operation with the use of tumor marker CA-125.

About the authors

B. L. Tsivyan

Alexander Hospital; Military Medical Academy

Author for correspondence.
Email: info@eco-vector.com
Russian Federation, Saint Petersburg

A. N. Maklyak

Alexander Hospital; Military Medical Academy

Email: info@eco-vector.com
Russian Federation, Saint Petersburg

V. F. Bezhenar

Alexander Hospital; Military Medical Academy

Email: info@eco-vector.com
Russian Federation, Saint Petersburg

References

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. Evolution of ideas about the place of laparoscopy in the treatment of ovarian tumors

Download (69KB)
3. Fig. 2. Preoperative assessment of malignant ovarian tumors

Download (46KB)
4. Fig. 3. Algorithm of management of patients with ovarian tumors, depending on age

Download (47KB)
5. Fig. 4. Age structure of the examined patients

Download (19KB)
6. Fig. 5. Structure of the performed interventions

Download (19KB)
7. Fig. 6. Histological structure of ovarian tumors in operated patients

Download (93KB)

Copyright (c) 2021 Eсо-Vector



Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).