IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i23p12386-d687538.html
   My bibliography  Save this article

Classifying Adenomyosis: Progress and Challenges

Author

Listed:
  • Marwan Habiba

    (Department of Health Sciences, University of Leicester, Leicester LE1 7HA, Leicestershire, UK
    Women and Perinatal Services, Leicester Royal Infirmary, Leicester LE1 5WW, Leicestershire, UK)

  • Giuseppe Benagiano

    (Department of Maternal & Child Health, Gynecology and Urology, “Sapienza” University of Rome, 00100 Rome, Italy)

Abstract

Classically, the diagnosis of adenomyosis relied on histological examination of uteri following hysterectomy and classifications focused on the depth of endometrial invasion within the myometrium. There remain uncertainties around the cut-off point for the histological diagnosis. Imaging-based diagnosis enables recognition of the condition in women not undergoing surgery and facilitates the assessment of the extent of adenomyosis within the whole uterus, as well as of affections of the uterovesical pouch and of the pouch of Douglas. In this article, we explore the diagnostic uncertainties, the need to produce a classification of the condition and the challenges towards that goal. A distinction should be drawn between disease mapping and a classification that may link histological or image-based features with clinical characteristics, or with pathophysiology. An agreed system for reporting adenomyotic lesions may enable comparisons of research studies and thus contribute towards an informed classification. To this aim, we outline the features of the condition and explore the characteristics that are considered when producing a taxonomy. These include the latest proposal for subdivision of adenomyosis into an internal and an external variant. We also explore the uncertainties linked to classifying involvement of the uterovesical pouch, the pouch of Douglas and lesions in the outer myometrium. The limitations of currently available evidence suggest that agreement on a hypothesis to underpin a classification is unlikely at present. Therefore, current efforts will probably remain focused on disease mapping.

Suggested Citation

  • Marwan Habiba & Giuseppe Benagiano, 2021. "Classifying Adenomyosis: Progress and Challenges," IJERPH, MDPI, vol. 18(23), pages 1-16, November.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12386-:d:687538
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/23/12386/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/23/12386/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12386-:d:687538. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.