The Role of the Endometriosis Fertility Index (EFI) and Endometriosis Scoring Systems in Predicting Infertility Outcomes

Surgical management of a congenital genital tract abnormality in a patient with Lynch syndrome

Lynch syndrome (LS), also known as hereditary non-polyposis colorectal cancer, is an inherited cancer syndrome which increases the risk of developing colorectal cancer and endometrial cancer. Individuals with LS have an increased risk of cancers of the ovary, urinary tract, stomach, small intestine, pancreas, biliary tract, brain and skin. Cancer risk reduction is recommended through chemoprevention (aspirin), surveillance (colonoscopy, assessment of the endometrium and ovaries via USS, aspiration biopsy and tumour marker monitoring; CA125) or risk reduction surgery, that is, total hysterectomy and bilateral salpingo-oophorectomy.This is a case of a nulliparous woman in her early 30s with LS and a congenital genital tract malformation. She had a unicornuate (left) uterus and a vestigial (right) uterine horn. There was an inability to obtain a conclusive set of endometrial biopsies in this patient due to the nature of the patient's congenital uterine abnormality. In this case, surgery was recommended to excise the vestigial horn and fallopian tube in order to optimise surveillance and fertility.

EQUSUM: Endometriosis QUality and grading instrument for SUrgical performance: proof of concept study for automatic digital registration and classification scoring for r-ASRM, EFI and Enzian

STUDY QUESTION

Is electronic digital classification/staging of endometriosis by the EQUSUM application more accurate in calculating the scores/stages and is it easier to use compared to non-digital classification?

SUMMARY ANSWER

We developed the first digital visual classification system in endometriosis (EQUSUM). This merges the three currently most frequently used separate endometriosis classification/scoring systems (i.e. revised American Society for Reproductive Medicine (rASRM), Enzian and Endometriosis Fertility Index (EFI)) to allow uniform and adequate classification and registration, which is easy to use. The EQUSUM showed significant improvement in correctly classifying/scoring endometriosis and is more user-friendly compared to non-digital classification.

WHAT IS KNOWN ALREADY

Endometriosis classification is complex and until better classification systems are developed and validated, ideally all women with endometriosis undergoing surgery should have a correct rASRM score and stage, while women with deep endometriosis (DE) should have an Enzian classification and if there is a fertility wish, the EFI score should be calculated.

STUDY DESIGN SIZE DURATION

A prospective endometriosis classification proof of concept study under experts in deep endometriosis was conducted. A comparison was made between currently used non-digital classification formats for endometriosis versus a newly developed digital classification application (EQUSUM).

PARTICIPANTS/MATERIALS SETTING METHODS

A hypothetical operative endometriosis case was created and summarized in both non-digital and digital form. During European endometriosis expert meetings, 45 DE experts were randomly assigned to the classic group versus the digital group to provide a proper classification of this DE case. Each expert was asked to provide the rASRM score and stage, Enzian and EFI score. Twenty classic forms and 20 digital forms were analysed. Questions about the user-friendliness (system usability scale (SUS) and subjective mental effort questionnaire (SMEQ)) of both systems were collected.

MAIN RESULTS AND THE ROLE OF CHANCE

The rASRM stage was scored completely correctly by 10% of the experts in the classic group compared to 75% in the EQUSUM group (P < 0. 01). The rASRM numerical score was calculated correctly by none of the experts in the classic group compared with 70% in the EQUSUM group (P < 0.01). The Enzian score was correct in 60% of the classic group compared to 90% in the EQUSUM group (P = 0.03). EFI scores were calculated correctly in 25% of the classic group versus 85% in the EQUSUM group (P < 0.01). Finally, the usability measured with the SUS was significantly better in the EQUSUM group compared to the classic group: 80.8 ± 11.4 and 61.3 ± 20.5 (P < 0.01). Also the mental effort measured with the SMEQ was significant lower in the EQUSUM group compared to the classic group: 52.1 ± 18.7 and 71.0 ± 29.1 (P = 0.04). Future research should further develop and confirm these initial findings by conducting similar studies with larger study groups, to limit the possible role of chance.

LIMITATIONS REASONS FOR CAUTION

These first results are promising, however it is important to note that this is a preliminary result of experts in DE and needs further testing in daily practice with different types (complex and easy) of endometriosis cases and less experienced gynaecologists in endometriosis surgery.

WIDER IMPLICATIONS OF THE FINDINGS

This is the first time that the rASRM, Enzian and EFI are combined in one web-based application to simplify correct and automatic endometriosis classification/scoring and surgical registration through infographics. Collection of standardized data with the EQUSUM could improve endometriosis reporting and increase the uniformity of scientific output. However, this requires a broad implementation.

STUDY FUNDING/COMPETING INTERESTS

To launch the EQUSUM application, a one-time financial support was provided by Medtronic to cover the implementation cost. No competing interests were declared.

TRIAL REGISTRATION NUMBER

N/A.

Classification of deep endometriosis (DE) including bowel endometriosis: From r-ASRM to #Enzian-classification

Endometriotic lesions may affect peritoneal and ovarian tissues, cause secondary adhesions, and - in case of deep endometriosis (DE), invade organs such as the urinary bladder, ureters, and bowel. Over decades, several classification systems have been proposed with the rASRM score being the most widely accepted one to date. However, the rASRM classification has certain limitations regarding the description of DE. In contrast, the Enzian classification, which has been updated and modified recently in the form of the so-called #Enzian classification, has proved to be the most suitable tool for staging DE and now also includes peritoneal or ovarian diseases as well as adhesions. In the ideal scenario, a classification for endometriosis can be used with both diagnostic and surgical methods. The present work discusses the pros and cons of scores for endometriosis and highlights the need for using one universal classification system.

Pathophysiological Basis of Endometriosis-Linked Stress Associated with Pain and Infertility: A Conceptual Review

Women with endometriosis are often under stress due to the associated pain, infertility, inflammation-related and other comorbidities including cancer. Additionally, these women are also under stress due to taboos, myths, inter-personal troubles surrounding infertility and pain of the disease as well as due to frequent incidences of missed diagnosis and treatment recurrence. Often these women suffer from frustration and loss of valuable time in the prime phase of life. All these complexities integral to endometriosis posit a hyperstructure of integrative stress physiology with overt differentials in effective allostatic state in women with disease compared with disease-free women. In the present review, we aim to critically examine various aspects of pathophysiological basis of stress surrounding endometriosis with special emphasis on pain and subfertility that are known to affect the overall health and quality of life of women with the disease and promising pathophysiological basis for its effective management.