291
Views
6
CrossRef citations to date
0
Altmetric
Review Articles

Classification systems of Asherman’s syndrome. An old problem with new directions

ORCID Icon, , , ORCID Icon, , , & ORCID Icon show all
Pages 304-310 | Received 07 Dec 2020, Accepted 16 Feb 2021, Published online: 04 Mar 2021
 

Abstract

Intrauterine adhesion (IUA) formation and the resulting Asherman’s syndrome (AS) is an unfortunate clinical condition that occurs when the endometrium is damaged as a consequence of trauma, such as vigorous curettage, infection, or some Müllerian anomaly. The most frequent symptoms include hypo/amenorrhea, infertility, and adverse reproductive outcomes. Prevention of IUA formation is essential; however, when present, accurate diagnosis and surgical intervention (hysteroscopic adhesiolysis) are required. The outcome of this treatment is based on the technique and the extent of surgery performed which depends on the severity and complexity of the disease. Hence its classification becomes particularly important to determine a standardized therapy for each case and patient counseling regarding the prognosis. In this article, we aim to describe the IUAs classification systems that have been proposed comparing the merits and demerits of each one.

Declaration of interest

The authors report no conflicts of interest.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 344.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.