An evaluation of sexual function and health-related quality of life following laparoscopic surgery in individuals living with endometriosis.

STUDY QUESTION: What is the relationship between sexual function, health-related quality of life (HRQoL), and laparoscopic surgery in individuals living with endometriosis? SUMMARY ANSWER: A higher number of laparoscopic surgeries is significantly associated with poorer HRQoL and greater levels of sexual dysfunction in individuals with endometriosis. WHAT IS KNOWN ALREADY: Prior research indicates that endometriosis is associated with lowered HRQoL and sexual function and that these outcomes are influenced by endometriosis-related symptom profiles, medical, and surgical management. A limited number of studies have examined changes in sexual function in individuals with endometriosis following laparoscopic surgery or following repeated surgeries. STUDY DESIGN, SIZE, DURATION: A cross-sectional community-based online survey was used to examine the relationships between sexual function, HRQoL, and laparoscopic surgery (n = 210). PARTICIPANTS/MATERIALS, SETTING, METHODS: Individuals with a self-reported diagnosis of endometriosis were recruited via online advertising through social media and gynaecology clinics. Endometriosis-specific data (e.g. diagnostic delay, symptom experience) was collected in addition to engagement with laparoscopic surgery, level of HRQoL (EuroQol-5 Dimension: EQ-5D-5L), and sexual function (Female Sexual Function Index: FSFI). Bivariate correlational analyses and hierarchical multiple regression were used to determine the associations between the variables of interest. MAIN RESULTS AND THE ROLE OF CHANCE: Individuals with endometriosis have substantially poorer HRQoL in comparison to Australian normative samples, with greater levels of endometriosis-related symptom burden, distress, and pain significantly associated with lower levels of HRQoL. The mean FSFI score was suggestive of clinically significant female sexual dysfunction, with the lowest level of function noted in the domain of sexual pain and the highest level of function noted in the sexual satisfaction domain. A greater number of laparoscopic surgeries was significantly associated with poorer overall HRQoL and greater levels of sexual dysfunction. LIMITATIONS, REASONS FOR CAUTION: The cross-sectional nature of the data precludes direct findings of causality and further longitudinal research is recommended. The information pertaining to engagement in laparoscopic surgery was self-report in nature and was not medically verified. WIDER IMPLICATIONS OF THE FINDINGS: The study's findings highlight the pervasive impact of endometriosis on all domains of living, emphasizing the need to extend treatment planning beyond that of physical pain management alone. Early referral for assessment and management of sexual wellbeing is recommended prior to, and post-surgical intervention, with a focus on maintaining post-surgical changes, potentially reducing the need for multiple surgeries. STUDY FUNDING, COMPETING INTEREST(S): The study was not associated with research funding. Author CN reports grant funding from the Australian Government and Medical Research Future Fund (MRFF) and was a previous employee of CSL Vifor (formerly Vifor Pharma Pty Ltd). TRIAL REGISTRATION NUMBER: N/A.

Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review.

Purpose: The aim of this study was to investigate the current application of artificial intelligence (AI) tools in the teaching of ultrasound skills as they pertain to gynaecological ultrasound. Methods: A scoping review was performed. Eight databases (MEDLINE, EMBASE, EMCARE, CINAHL, Scopus, Web of Science, IEEE Xplore and ACM digital library) were searched in December 2022 using predefined keywords. All types of publications were eligible for inclusion so long as they reported the use of an AI tool, included reference to or discussion of teaching or the improvement of ultrasound skills and pertained to gynaecological ultrasound. Conference abstracts and non-English language papers which could not be adequately translated into English were excluded. Results: The initial database search returned 481 articles. After screening against our inclusion and exclusion criteria, two were deemed to meet the inclusion criteria. Neither of the articles included reported original research (one systematic review and one review article). Neither of the included articles explicitly provided details of specific tools developed for the teaching of ultrasound skills for gynaecological imaging but highlighted similar applications within the field of obstetrics which could potentially be expanded. Conclusion: Artificial intelligence can potentially assist in the training of sonographers and other ultrasound operators, including in the field of gynaecological ultrasound. This scoping review revealed however that to date, no original research has been published reporting the use or development of such a tool specifically for gynaecological ultrasound.

Guideline No. 449: Diagnosis and Impact of Endometriosis - A Canadian Guideline.

OBJECTIVE: To provide a contemporary approach to the understanding of the impact and methods for the diagnosis of endometriosis in Canada. TARGET POPULATION: Individuals, families, communities, health care providers, and health care administrators who are affected by, care for patients with, or manage delivery of services for endometriosis. OPTIONS: The diagnosis of endometriosis is facilitated by a detailed history, examination, and imaging tests with providers who are experienced in endometriosis care. Surgical evaluation with pathology confirms a diagnosis of endometriosis; however, it is not required for those whose diagnosis was confirmed with imaging. OUTCOMES: There is a need to address earlier recognition of endometriosis to facilitate timely access to care and support. Education directed at the public, affected individuals and families, health care providers, and health care administrators are essential to reduce delays in diagnosis and treatment. BENEFITS, HARMS, AND COSTS: Increased awareness and education about the impact and approach to diagnosis may support timely access to care for patients and families affected by endometriosis. Earlier and appropriate care may support a reduced health care system burden; however, improved clinical evaluation may require initial investments. EVIDENCE: Each section was reviewed with a unique search strategy representative of the evidence available in the literature related to the area of focus. The literature searches for each section of this guideline are listed in Appendix A and include information from published systematic reviews described in the text. VALIDATION METHODS: The recommendations were developed following two rounds of review by a national expert panel through an iterative 2-year consensus process. Further details on the process are shared in Appendix B. The authors rated the quality of evidence and strength of recommendations using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. See Appendix C (Table C1 for definitions and Table C2 for interpretations of strong and conditional recommendations). INTENDED AUDIENCE: This guideline is intended to support health care providers and policymakers involved in the care of those impacted by endometriosis and the systems required to support them. TWEETABLE ABSTRACT: Endometriosis impact and diagnosis updated guidelines for Canadian health care providers and policymakers. SUMMARY STATEMENTS: RECOMMENDATIONS.

Social Media, Endometriosis, and Evidence-Based Information: An Analysis of Instagram Content.

Social media platforms are used for support and as resources by people from the endometriosis community who are seeking advice about diagnosis, education, and disease management. However, little is known about the scientific accuracy of information circulated on Instagram about the disease. To fill this gap, this study analysed the evidence-based nature of content on Instagram about endometriosis. A total of 515 Instagram posts published between February 2022 and April 2022 were gathered and analysed using a content analysis method, resulting in sixteen main content categories, including "educational", which comprised eleven subcategories. Claims within educational posts were further analysed for their evidence-based accuracy, guided by a process which included fact-checking all claims against the current scientific evidence and research. Of the eleven educational subcategories, only four categories (cure, scientific article, symptoms, and fertility) comprised claims that were at least 50% or greater evidence-based. More commonly, claims comprised varying degrees of evidence-based, mixed, and non-evidence-based information, and some categories, such as surgery, were dominated by non-evidence-based information about the disease. This is concerning as social media can impact real-life decision-making and management for individuals with endometriosis. Therefore, this study suggests that health communicators, clinicians, scientists, educators, and community groups trying to engage with the endometriosis online community need to be aware of social media discourses about endometriosis, while also ensuring that accurate and translatable information is provided.

Current Practice Patterns, Challenges, and Need for Education in Performing and Reporting Advanced Pelvic US and MRI to Investigate Endometriosis: A Survey by the Canadian Association of Radiologists Endometriosis Working Group.

Purpose: The Canadian Association of Radiologists (CAR) Endometriosis Working Group developed a national survey to evaluate current practice patterns associated with imaging endometriosis using advanced pelvic ultrasound and MRI to inform forthcoming clinical practice guidelines for endometriosis imaging. Methods: The anonymous survey consisted of 36 questions and was distributed electronically to CAR members. The survey contained a mix of multiple choice, Likert scale and open-ended questions intended to collect information about training and certification, current practices and protocols associated with imaging endometriosis, opportunities for quality improvement and continuing professional development. Descriptive statistics were used to summarize the results. Results: Canadian radiologists were surveyed about their experience with imaging endometriosis. A total of 89 responses were obtained, mostly from Ontario and Quebec. Most respondents were community radiologists, and almost 33% were in their first five years of practice. Approximately 38% of respondents reported that they or their institution performed advanced pelvic ultrasound for endometriosis, with most having done so for less than 5 years, and most having received training during residency or fellowship. 70% of respondents stated they currently interpret pelvic endometriosis MRI, with most having 1-5 years of experience. Conclusion: Many radiologists in Canada do not perform dedicated imaging for endometriosis. This may be due to a lack of understanding of the benefits and limited access to training. However, dedicated imaging can improve patient outcomes and decrease repeated surgeries. The results highlight the importance of developing guidelines for these imaging techniques and promoting a multidisciplinary approach to endometriosis management.

Role of ultrasonography in the diagnosis of endometriosis in infertile women: Ovarian endometrioma, deep endometriosis, and superficial endometriosis.

Endometriosis is a complex chronic inflammatory process characterised by the presence of endometrial-like glandular tissue outside the uterine cavity, typically within the pelvic structures. This condition affects up to 10-15 % of women and those assigned female at birth, and can result in chronic pelvic pain and in/subfertility. Treatment goals include medical, surgical options and alternative therapies. Transvaginal ultrasound (TVUS) is the currently recommended first line investigation for endometriosis with magnetic resonance imaging (MRI) reserved for those with equivocal ultrasound findings. In this paper, we aim to outline the commonly seen sonographic appearances of endometriosis divided into anterior, middle and posterior pelvic compartments. Limitations to ultrasound imaging include high operator dependence and patient factors. New imaging techniques and research into the utility of artificial intelligence (AI) into the detection of endometriosis is currently underway, with possibility of reduced diagnostic delay and better patient outcomes.

Noninvasive diagnostic imaging for endometriosis part 1: a systematic review of recent developments in ultrasound, combination imaging, and artificial intelligence.

Endometriosis affects 1 in 9 women and those assigned female at birth. However, it takes 6.4 years to diagnose using the conventional standard of laparoscopy. Noninvasive imaging enables a timelier diagnosis, reducing diagnostic delay as well as the risk and expense of surgery. This review updates the exponentially increasing literature exploring the diagnostic value of endometriosis specialist transvaginal ultrasound (eTVUS), combinations of eTVUS and specialist magnetic resonance imaging, and artificial intelligence. Concentrating on literature that emerged after the publication of the IDEA consensus in 2016, we identified 6192 publications and reviewed 49 studies focused on diagnosing endometriosis using emerging imaging techniques. The diagnostic performance of eTVUS continues to improve but there are still limitations. eTVUS reliably detects ovarian endometriomas, shows high specificity for deep endometriosis and should be considered diagnostic. However, a negative scan cannot preclude endometriosis as eTVUS shows moderate sensitivity scores for deep endometriosis, with the sonographic evaluation of superficial endometriosis still in its infancy. The fast-growing area of artificial intelligence in endometriosis detection is still evolving, but shows great promise, particularly in the area of combined multimodal techniques. We finalize our commentary by exploring the implications of practice change for surgeons, sonographers, radiologists, and fertility specialists. Direct benefits for endometriosis patients include reduced diagnostic delay, better access to targeted therapeutics, higher quality operative procedures, and improved fertility treatment plans.

Noninvasive diagnostic imaging for endometriosis part 2: a systematic review of recent developments in magnetic resonance imaging, nuclear medicine and computed tomography.

Endometriosis affects 1 in 9 women, taking 6.4 years to diagnose using conventional laparoscopy. Non-invasive imaging enables timelier diagnosis, reducing diagnostic delay, risk and expense of surgery. This review updates literature exploring the diagnostic value of specialist endometriosis magnetic resonance imaging (eMRI), nuclear medicine (NM) and computed tomography (CT). Searching after the 2016 IDEA consensus, 6192 publications were identified, with 27 studies focused on imaging for endometriosis. eMRI was the subject of 14 papers, NM and CT, 11, and artificial intelligence (AI) utilizing eMRI, 2. eMRI papers describe diagnostic accuracy for endometriosis, methodologies, and innovations. Advantages of eMRI include its: ability to diagnose endometriosis in those unable to tolerate transvaginal endometriosis ultrasound (eTVUS); a panoramic pelvic view, easy translation to surgical fields; identification of hyperintense iron in endometriotic lesions; and ability to identify super-pelvic lesions. Sequence standardization means eMRI is less operator-dependent than eTVUS, but higher costs limit its role to a secondary diagnostic modality. eMRI for deep and ovarian endometriosis has sensitivities of 91-93.5% and specificities of 86-87.5% making it reliable for surgical mapping and diagnosis. Superficial lesions too small for detection in larger capture sequences, means a negative eMRI doesn't exclude endometriosis. Combined with thin sequence capture and improved reader expertise, eMRI is poised for rapid adoption into clinical practice. NM labeling is diagnostically limited in absence of suitable unique marker for endometrial-like tissue. CT studies expose the reproductively aged to radiation. AI diagnostic tools, combining independent eMRI and eTVUS endometriosis markers, may result in powerful capability. Broader eMRI use, will optimize standards and protocols. Reporting systems correlating to surgical anatomy will facilitate interdisciplinary preoperative dialogues. eMRI endometriosis diagnosis should reduce repeat surgeries with mental and physical health benefits for patients. There is potential for early eMRI diagnoses to prevent chronic pain syndromes and protect fertility outcomes.

The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification*†.

Endometriosis is a debilitating condition affecting 5% to 10% of the women worldwide, where early detection and treatment are the best tools to manage the condition. Early detection can be done via surgery, but multi-modal medical imaging is preferable given the simpler and faster process. However, imaging-based endometriosis diagnosis is challenging as 1) there are few capable clinicians; and 2) it is characterised by small lesions unconfined to a specific location. These two issues challenge the development of endometriosis classifiers as the training datasets tend to be small and contain difficult samples, which leads to overfitting. Hence, it is important to consider generalisation techniques to mitigate this problem, particularly self-supervised pre-training methods that have shown outstanding results in computer vision and natural language processing applications. The main goal of this paper is to study the effectiveness of modern self-supervised pre-training techniques to overcome the two issues mentioned above for the classification of endometriosis from multi-modal imaging data. We also introduce a new masking image modelling self-supervised pre-training method that works with 3D multi-modal medical imaging. Furthermore, to the best of our knowledge, this paper presents the first endometriosis classifier, fine-tuned from the pre-trained model above, which works with multi-modal (i.e., T1 and T2) magnetic resonance imaging (MRI) data. Our results show that self-supervised pre-training improves endometriosis classification by as much as 31%, when compared with classifiers trained from scratch.

Cannabis and Endometriosis: The Roles of the Gut Microbiota and the Endocannabinoid System.

Endometriosis, a chronic condition affecting around 10-14% of women, is challenging to manage, due to its complex pathogenesis and limited treatment options. Research has suggested a potential role of the gut microbiota and the endocannabinoid system in the development and progression of endometriosis. This narrative review aims to explore the role of, and any potential interactions between, the endocannabinoid system (ECS) and the gut microbiota in endometriosis. This review found that both the ECS and microbiota influence endometriosis, with the former regulating inflammation and pain perception and the latter influencing immune responses and hormonal balance. There is evidence that a dysregulation of the endocannabinoid system and the gut microbiota influence endometriosis symptoms and progression via changes in CB1 receptor expression and increased circulating levels of endocannabinoids. Microbial imbalances in the gut, such as increases in Prevotella, have been directly correlated to increased bloating, a common endometriosis symptom, while increases in E. coli have supported the bacterial contamination hypothesis as a potential pathway for endometriosis pathogenesis. These microbial imbalances have been correlated with increases in inflammatory markers such as TNF-α and IL-6, both often raised in those with endometriosis. Protective effects of the ECS on the gut were observed by increases in endocannabinoids, including 2-AG, resulting in decreased inflammation and improved gut permeability. Given these findings, both the ECS and the gut microbiota may be targets for therapeutic interventions for endometriosis; however, clinical studies are required to determine effectiveness.

Anatomical distribution of endometriosis: A cross-sectional analysis of transvaginal ultrasound in symptomatic patients.

Purpose: The anatomical distribution of deep endometriosis (DE) is essential in treating patients with symptoms associated with the disease. There is an evidence gap in correlating clinical features and symptoms with disease patterns. The study aimed at determining DE anatomic distribution based on advanced transvaginal ultrasound and describe the relationship with symptoms obtained with the World Endometriosis Foundation Questionnaire. Methods: A cross-sectional study included 549 ultrasound results and 370 questionnaire responses between July 2018 and January 2021. Descriptive statistics are presented. Continuous variables were compared by a simple t-test and ANOVA and categorical variables by the chi-squared test. Logistic regression and R2 values summarised the relationship between positive ultrasound and possible predictor variables (software SAS version 9.4). Results: The anatomical locations with signs of endometriosis on ultrasound were the right uterosacral ligament (USL) 23.3% (n = 128), left USL 21.3% (n = 117) and bowel 19.1% (n = 105). Endometriomas in the right and left ovaries (14%, n = 77, and 14.7%, n = 81 respectively), superficial endometriosis in 15.5% (n = 85), torus uterinus in 11.7% (n = 64), Pouch of Douglas (POD) in 9.7% (n = 53), rectovaginal septum in 4.2% (n = 23), vaginal fornix in 3.5% (n = 19). A negative 'sliding-sign' was noted in 25.3% (n = 139), and ovarian medial immobility was noted frequently (left 20.2%, n = 111 and right 16.9%, n = 93). Dyspareunia, dysmenorrhoea, infertility and family history were associated with endometriosis lesions (P < 0.05). Prediction models based on symptomatology presented low discriminatory power. Discussion: This large real-life cohort associating the description of the anatomical distribution of endometriosis as seen on advanced TVS in symptomatic patients confirmed that uterosacral ligaments, torus uterinus, ovaries and bowel represent the most common anatomical sites of endometriosis. Also, the dynamic abnormalities elicited via ultrasound, such as the uterus 'sliding-sign' and ovarian mobility, remain common. The knowledge of the general locations of identifiable endometriosis on ultrasound and the dynamic abnormalities is essential to sonologists and sonographers in implementing advanced TVS protocols to detect endometriosis. In addition, the different presentations of dyspareunia can be associated with USL and bowel endometriosis. Subfertility might also be associated with USL, ovarian and bowel endometriosis. Nevertheless, prediction models showed suboptimal results. Conclusions: Endometriosis is mainly distributed in USLs, bowel and ovaries. POD obliteration is frequent. Symptoms can be associated with anatomic locations; however, prediction models showed low clinical applicability.

CAR Practice Statement on Advanced Pelvic Ultrasound for Endometriosis.

The Canadian Association of Radiologists (CAR) Endometriosis Working Group was tasked with providing guidance and benchmarks to ensure the quality of technique and interpretation for advanced imaging modalities associated with diagnosing endometriosis. This practice statement provides an overview of the state of the art of advanced pelvic ultrasound in the diagnosis and mapping of pelvic endometriosis. While acknowledging that advanced pelvic ultrasound in some practices falls within the scope of clinical colleagues rather than imaging departments, the statement seeks to guide radiologists interested in implementing these techniques into their practice for patients referred for evaluation and diagnosis of endometriosis. The statement covers indications, some components of the ultrasound assessment and technique, reporting, and recommendations for starting an ultrasound endometriosis evaluation program.

The effect of cigarette smoking on first-trimester crown-rump length.

Objectives: Does cigarette smoking impact the embryonic growth rate in the first trimester? Methods: This is a retrospective multicentre observational study of 2912 pregnancies. Women who presented to the early pregnancy and perinatal ultrasound units between 2010 and 2019 were included in the study. The data collected included the following: smoking status, the crown-rump length (CRL) of the pregnancy at the first ultrasound that showed an embryonic heart rate, the gestation in days and the CRL at another ultrasound up to the nuchal translucency scan and the gestation in days. Additional demographic data included the following: age, weight, height, parity and mode of delivery.Of the 2912, complete smoking and demographic data were available for 657 pregnancies. One hundred and thirty-seven (26.3%) were smokers, and 520 (73.7%) were not. The rate of change of smokers vs non-smokers between two CRLs and two different days of gestation was calculated. The Wilcoxon rank sum test with continuity correction was used for statistical analysis. Results: This gives a value of W = 31,940 and a P-value = 0.06. There is a slight shift in location for the smokers; however, it is not statistically significant. The insignificance may be due to the general large variance in growth rate. Conclusion: The impact of cigarette smoking on embryonic growth rate detected by CRL in the first trimester is statistically insignificant.

The impact of diagnostic method on sense of control and powerlessness and social support in endometriosis patients-A retrospective cohort study.

INTRODUCTION: It is recognized that for individuals living with endometriosis, receiving a diagnosis is psychosocially beneficial, but little is known about whether this is influenced by the way in which the disease is diagnosed. The primary objective of this study was to determine the impact of the diagnostic test method (clinical, diagnostic imaging, or diagnostic laparoscopy) of endometriosis on the individual's sense of control over their disease and their perceived access to social supports. The secondary objectives were to identify the impact of the diagnostic method on perceived social support, and to explore if there was a difference in the diagnostic method utilization between countries. MATERIAL AND METHODS: This retrospective cohort study reports on data collected using the Endometriosis Health Profile-30 (EHP-30) section of a previously published larger survey conducted between May and July 2020. Women aged 18-55 years who had received a diagnosis of endometriosis were recruited by social media platforms. The two domains of interest on the EHP-30 were control and powerlessness and social support. Scores on these domains were analyzed with diagnosis method as the variable of interest. RESULTS: In all, 1634 valid survey responses were received. There was a small statistically significant difference found between control and powerlessness scores for patients that received a diagnosis via imaging (ultrasound/MRI; n = 120) vs clinical diagnosis (n = 121) (p = 0.049). However, this did not reach clinical significance when covariates were controlled for (p = 0.054). No other comparisons reached statistical significance. CONCLUSIONS: The diagnostic method of endometriosis does not appear to have a clinically significant impact on an individual's sense of control over their disease nor their access to social supports. However, further research into these domains to delineate the true impact of the diagnostic method is required.

External Validation of the "2021 AAGL Endometriosis Classification": A Retrospective Cohort Study.

STUDY OBJECTIVE: Externally validate the American Association of Gynecologic Laparoscopists (AAGL) staging system against surgical complexity and compare diagnostic accuracy with revised American Society for Reproductive Medicine (rASRM) stage, as was done in original publication. DESIGN: Retrospective, diagnostic accuracy study. SETTING: Multicenter (Sydney, Australia). PATIENTS: A total of 317 patients (January 2016-October 2021) were used in the final analysis. INTERVENTIONS: A database of patients with coded surgical data was analyzed. MEASUREMENTS AND MAIN RESULTS: Three independent observers assigned an AAGL surgical stage (1-4) as the index test and surgical complexity level (A-D) as the reference standard. Results from the most accurate of the 3 observers were used in the final analysis. The weighted kappa score for the overall performance of AAGL stage and rASRM to predict AAGL level was 0.48 and 0.48, respectively (no difference). This represents weaker agreement with AAGL level than was observed in the reference paper, which reported a weighted kappa of 0.62. Diagnostic accuracy (sensitivity, specificity, positive predictive value, and negative predictive value) for stage 1 to predict level A was 98.5%, 64.3%, 66.3%, and 98.3%; stage 2 to predict level B 31.2%, 90.5%, 27.0%, and 92.1 %; stage 3 to predict level C 12.3%, 94.1%, 59.3%, and 60.7%; stage 4 to predict level D 95.65%, 88.10%, 38.60%, and 99.62%. Area under the receiver operating characteristic curve for A vs B/C/D (cut point 9) was 0.87, A/B vs C/D (cut point 16) was 0.78, and A/B/C vs D (cut point 22) was 0.94. CONCLUSION: There was weak to moderate agreement between AAGL stage and AAGL surgical complexity level. Across all key indicators, the AAGL system did not perform as well in this external validation, nor did it outperform rASRM as it did in the reference paper. Results suggest the system is not generalizable.

Prevalence of Use and Perceived Effectiveness of Medical, Surgical, and Alternative Therapies for Endometriosis Pain in Canadians.

OBJECTIVES: To describe the use and perceived effectiveness of medical, surgical, and alternative therapies (e.g., diet, exercise, heat, cannabis, etc.) in managing endometriosis-associated pain in Canadians. METHODS: A cross-sectional online survey was distributed via The Endometriosis Network Canada (TENC) from February to March 2021. Canadians aged 18-50 years with diagnosed or suspected endometriosis were eligible to participate. RESULTS: A total of 434 survey responses were included, and 93.8% of respondents reported that they used at least 1 alternative therapy in the past 6 months for endometriosis-associated pain. Respondents used an array of medical (2.3/6 months), surgical (1.7/lifetime), and alternative therapies (6.9/6 months) to manage their pain, yet 61.9% of respondents did not feel it was adequately managed. The most common alternative therapies were heat, meditation/mindfulness/rest, and diet. CONCLUSION: Alternative therapies were commonly used by Canadians living with endometriosis to manage pain. Cannabis and heat were perceived as the most effective alternative therapies. Here, we gain a better understanding of alternative therapies that can provide an additional therapeutic avenue that clinicians and people living with endometriosis may wish to discuss and explore.

Comparison of #Enzian classification and revised American Society for Reproductive Medicine stages for the description of disease extent in women with deep endometriosis.

STUDY QUESTION: How is endometriosis extent described by the #Enzian classification compared to the revised American Society for Reproductive Medicine (rASRM) stages in women undergoing radical surgery for deep endometriosis (DE)? SUMMARY ANSWER: The prevalence and severity grade of endometriotic lesions and adhesions as well as the total number of #Enzian compartments affected by DE increase on average with increasing rASRM stage; however, DE lesions are also present in rASRM stages 1 and 2, leading to an underestimation of disease severity when using the rASRM classification. WHAT IS KNOWN ALREADY: Endometriotic lesions can be accurately described regarding their localization and severity by sonography as well as during surgery using the recently updated #Enzian classification for endometriosis. STUDY DESIGN, SIZE, DURATION: This was a prospective multicenter study including a total of 735 women between January 2020 and May 2021. PARTICIPANTS/MATERIALS, SETTING, METHODS: Disease extent in women undergoing radical surgery for DE at tertiary referral centers for endometriosis was intraoperatively described using the #Enzian and the rASRM classification. MAIN RESULTS AND THE ROLE OF CHANCE: A total of 735 women were included in the study. Out of 31 women with rASRM stage 1, which is defined as only minimal disease, 65% (i.e. 20 women) exhibited DE in #Enzian compartment B (uterosacral ligaments/parametria), 45% (14 women) exhibited DE in #Enzian compartment A (vagina/rectovaginal septum) and 26% (8 women) exhibited DE in #Enzian compartment C (rectum). On average, there was a progressive increase from rASRM stages 1-4 in the prevalence and severity grade of DE lesions (i.e. lesions in #Enzian compartments A, B, C, FB (urinary bladder), FU (ureters), FI (other intestinal locations), FO (other extragenital locations)), as well as of endometriotic lesions and adhesions in #Enzian compartments P (peritoneum), O (ovaries) and T (tubo-ovarian unit). In addition, the total number of #Enzian compartments affected by DE lesions on average progressively increased from rASRM stages 1-4, with a maximum of six affected compartments in rASRM stage 4 patients. LIMITATIONS, REASONS FOR CAUTION: Interobserver variability may represent a possible limitation of this study. WIDER IMPLICATIONS OF THE FINDINGS: The #Enzian classification includes the evaluation of DE in addition to the assessment of endometriotic lesions and adhesions of the ovaries and tubes and may therefore provide a comprehensive description of disease localization and extent in women with DE. STUDY FUNDING/COMPETING INTEREST(S): No funding was received for this study. All authors declare that they have no conflict of interest. TRIAL REGISTRATION NUMBER: N/A.