258
Views
4
CrossRef citations to date
0
Altmetric
Review Articles

Hysteroscopic endometrial biopsy: from indications to instrumentation and techniques. A call to action

ORCID Icon, , , , , , , & ORCID Icon show all
Pages 251-262 | Received 02 Apr 2021, Accepted 20 Jul 2021, Published online: 08 Aug 2021
 

Abstract

During the last twenty years, the diagnostic approach to endometrial pathology has radically evolved. For over a century, intrauterine blind biopsy techniques were considered the gold standard procedure for the histopathological diagnosis of intrauterine diseases. The advent of hysteroscopy, which made it possible to directly visualize the uterine cavity, and the subsequent miniaturization of the instruments allowing its use in the office setting without anesthesia are considered game-changers. To date, it is feasible to retrieve a targeted eye specimen of endometrial tissue with little or no discomfort for the patient in the office setting. To pursue this aim, several technological upgrades have improved the diagnostic accuracy of hysteroscopic endometrial biopsy. In this paper we provide an up-to-date review of the latest evidence regarding indications, instrumentations, and techniques for hysteroscopic endometrial biopsy, to help the operator in providing an adequate endometrial sampling for histopathological analysis.

Declaration of interest

The authors declare that they have no conflicts of interest and nothing to disclose.

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.