Modern approaches to classification of adenomyosis

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Abstract

This article presents a modern review of the main classifications of adenomyosis based on the clinical course, the prevalence of the pathological process, the results of ultrasound and magnetic resonance imaging, and histological verification. The analysis is based on domestic and foreign literature, federal clinical recommendations, and results of our own research. Despite the large number of different classifications of the disease, there are still shortcomings noted in this review. Based on the available rubricators, we emphasized the need to create a classification of adenomyosis with an assessment of the clinical picture, genetic and molecular profiles, the results of non-invasive assessment methods, and a correlation with the histological conclusion. A unified classification would solve many problems in scientific and practical activities for accurate and early diagnosis of adenomyosis, identification of risk groups for patients with an aggressive course of the pathological process, selection of reasonable recommendations, and timely appointment of pathogenetic therapy.

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About the authors

Maria I. Yarmolinskaya

The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott; North-Western State Medical University named after I.I. Mechnikov

Email: m.yarmolinskaya@gmail.com
ORCID iD: 0000-0002-6551-4147
SPIN-code: 3686-3605
Scopus Author ID: 7801562649
ResearcherId: P-2183-2014

MD, Dr. Sci. (Med.), Professor, Professor of the Russian Academy of Sciences

Russian Federation, Saint Petersburg; Saint Petersburg

Maria A. Shalina

The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott

Author for correspondence.
Email: amarus@inbox.ru
ORCID iD: 0000-0002-5921-3217
Scopus Author ID: 57200072308
ResearcherId: A-7180-2019

MD, Cand. Sci. (Med.)

Russian Federation, Saint Petersburg

Stanislava V. Nagorneva

The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott; Sestroretskaya Multiprofile Clinic Ltd.

Email: stanislava_n@bk.ru
ORCID iD: 0000-0003-0402-5304
SPIN-code: 5109-7613
ResearcherId: К-3723-2018

MD, Cand. Sci. (Med.)

Russian Federation, Saint Petersburg; Saint Petersburg

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2. Fig. 1. Classification of adenomyotic cysts [12]

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3. Fig. 2. Classification of adenomyosis based on magnetic resonance imaging and clinically relevant parameters [37]

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СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
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СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия Эл № 77 - 6389 от 15.07.2002 г.