Opportunities to improve the diagnosis chronic tndometritis

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Abstract

Goal of the research: optimization of the diagnosis of chronic endometritis.

Methodology: perspective research.

Institution: Department of obstetrics and gynecology of the Kursk medical University.

Material of the research: 67 patients suffering benign diseases of endometrium and myometrium connected with it. 59 patients with the diseases of the uterus of the same пaтe without chronic endometritis.

Methods of the research: clinico-laboratory, ultrasonography, hysteroscopic, histologic, cytologic, microbiologic examination of the endometrium, PSR, radioimmunological method to determine progesterone rate in the blood plasma.

Results of the research: the endoscopice variants of chronic endometritis are extreted: hyperplastic and hypoplastic (and also its forms - focal and diffusive). They are necessary stages achieving reliable diagnosis of the inflammatory process of endometrium a differential method of probing of endometrium depending on a variant and damage rate of chronic endometritis is worked out.

Conclusion: the complex method of the diagnosis chronic endometritis including hysteroscopy with visual biopsy and cytologic-histologic examination of endometrium increases the quality of diagnosis by 64,4% in comparison with the traditional curettement of the endometrium and considerably decreases the number of posttraumatic and inflammatory complications.

About the authors

M. G. Gazazyan

State Medical University

Author for correspondence.
Email: info@eco-vector.com

Department of Obstetrics and Gynecology

Russian Federation, Kursk

O. S. Khutsishvili

State Medical University

Email: info@eco-vector.com

Department of Obstetrics and Gynecology

Russian Federation, Kursk

T. S. lvanova

State Medical University

Email: info@eco-vector.com

Department of Obstetrics and Gynecology

Russian Federation, Kursk

I. S. Lunova

State Medical University

Email: info@eco-vector.com

Department of Obstetrics and Gynecology

Russian Federation, Kursk

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