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Time to move beyond surgical classification systems for endometriosis.

María Isabel Hernández CardonaChristana AjewoleHannah LewisJorge F CarrilloMario E CastellanosStefanie BarishJuan Diego Villegas EcheverriGeorgine Lamvu
Published in: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics (2023)
Endometriosis is a common condition associated with chronic pelvic pain and infertility. Its pathogenesis is poorly understood, diagnosis relies on laparoscopy, and staging is based on extent of disease. Unfortunately, the current staging systems do not correlate well with pain severity and impact, nor do they predict prognosis, i.e., treatment success and recurrence of disease. In this article, we discuss the strengths and limitations of current staging systems and propose modifications that will enable better classification systems to be developed in the future.
Keyphrases
  • lymph node
  • chronic pain
  • machine learning
  • pet ct
  • pain management
  • deep learning
  • neuropathic pain
  • combination therapy
  • rectal cancer
  • adipose tissue
  • spinal cord
  • free survival
  • current status
  • replacement therapy