Endometriosis classification: an update

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This review examines endometriosis classification systems, highlighting that while the revised American Fertility Society and ENZIAN systems exist, only the Endometriosis Fertility Index is validated to predict pregnancy outcomes in infertility patients.

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This review article examines the limitations of existing staging systems for endometriosis, noting that the disease remains difficult to classify in a way that facilitates prognosis and treatment. It highlights the historical dominance of the revised American Fertility Society system while discussing newer tools like the ENZIAN classification and the Endometriosis Fertility Index, which predicts pregnancy rates after surgery. The paper also mentions ongoing efforts by the AAGL to develop pain-focused categorization systems and suggests that novel research in imaging and genomics may inform future classifications. This paper is centrally about endometriosis — specifically the evolution and utility of classification systems for the condition.

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Abstract

PURPOSE OF REVIEW: Endometriosis remains an enigmatic disease for many reasons, not the least being a continued inability to stage its clinical presentation so that prognosis and treatment for both pain and infertility patients can be facilitated. This article reviews issues with current staging systems. RECENT FINDINGS: The revised American Fertility Society (rAFS) classification system has historically been the only classification system. Recently, the ENZIAN classification system, developed as an adjunct to the rAFS to describe more severe disease, has been introduced but is rarely used. More recently, the Endometriosis Fertility Index (EFI) that has been validated to predict pregnancy rates in infertility patients following surgical diagnosis and treatment of endometriosis was published. Currently, the AAGL is developing a categorization system that will be more focused on pain. Novel research in imaging, biomarkers, histology, and the human genome may provide useful information to develop future classification systems. SUMMARY: The only validated endometriosis classification system that predicts a clinical outcome is the EFI. It is to be hoped that renewed interest in the importance and utility of classification systems will result in novel classification systems that are clinically useful.
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Endometriosis classification an update - G. David Adamson Purpose of review Endometriosis remains an enigmatic disease for many reasons, not the least being a continued inability to stage its clinical presentation so that prognosis and treatment for both pain and infertility patients can be facilitated. This article reviews issues with current staging systems. Recent findings The revised American Fertility Society (rAFS) classification system has historically been the only classification system. Recently, the ENZIAN classification system, developed as an adjunct to the rAFS to describe more severe disease, has been introduced but is rarely used. More recently, the Endometriosis Fertility Index (EFI) that has been validated to predict pregnancy rates in infertility patients following surgical diagnosis and treatment of endometriosis was published. Currently, the AAGL is developing a categorization system that will be more focused on pain. Novel research in imaging, biomarkers, histology, and the human genome may provide useful information to develop future classification systems. Summary The only validated endometriosis classification system that predicts a clinical outcome is the EFI. It is to be hoped that renewed interest in the importance and utility of classification systems will result in novel classification systems that are clinically useful.

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Outcome instruments

Enzian

Condition tags

endometriosischronic_pelvic_paininfertility

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Female Female Humans Humans Infertility, Female Infertility, Female Infertility, Female Pelvic Pain Pelvic Pain Pelvic Pain Prognosis Prognosis

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europepmc
last seen: 2026-10-15T06:08:49.021275+00:00
pubmed
last seen: 2026-10-08T21:09:02.791371+00:00
unpaywall
last seen: 2026-10-15T06:24:24.424788+00:00
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