A new validated screening method for endometriosis diagnosis based on patient questionnaires

Questionnaire-based screening of adolescents and young adult women can identify markers associated with endometriosis

STUDY QUESTION

Do adolescents and young adult women (YAW) with histologically proven endometriosis present a specific clinical history?

SUMMARY ANSWER

Questionnaire screening of adolescents and YAW can identify clinical markers associated with histologically proven endometriosis.

WHAT IS KNOWN ALREADY

Some validated questionaries can contribute to an earlier endometriosis diagnosis in adults. None of these scores, however, have been validated for adolescents or YAW.

STUDY DESIGN, SIZE, DURATION

This was an observational cross-sectional study using prospectively recorded data performed between January 2005 and January 2020 in a single university tertiary referral centre for endometriosis diagnosis and management. After a thorough surgical examination of the abdomino-pelvic cavity, women with histologically proven endometriosis were allocated to the endometriosis group, and symptomatic women without evidence of endometriosis were allocated to the endometriosis-free control group. The endometriotic patients were allocated into two sub-groups according to their age: adolescent (≤20 years) and YAW (21-24 years).

PARTICIPANTS/MATERIALS, SETTING, METHODS

Adolescents and YAW ≤24 years of age were operated for a symptomatic benign gynaecological condition with signed informed consent. A standardized questionnaire was prospectively completed in the month before the surgery and included epidemiological data, pelvic pain scores, family history of endometriosis, and symptoms experienced during adolescence. The study searched for correlations by univariate analysis to determine clinical markers of endometriosis in adolescents and YAW compared with endometriosis-free control patients.

MAIN RESULTS AND THE ROLE OF CHANCE

Of the 262 study participants, 77 women were adolescents (≤20 years of age) and 185 patients (70.6%) were YAW. The endometriosis group included 118 patients (45.0%) and 144 (55.0%) were assigned to the control group. A family history of endometriosis, absenteeism from school during menstruation, history of fainting spells during menstruation, and prescription of oral contraceptive pills for intense dysmenorrhea were significantly more frequently observed in the endometriotic patients. The prevalence and mean pain scores for dysmenorrhea, deep dyspareunia, non-cyclic chronic pelvic pain and gastrointestinal and lower urinary tract symptoms were significantly greater in the endometriosis group, as was experienced rectal bleeding.

LIMITATIONS, REASONS FOR CAUTION

The study was performed in a single referral centre that treats patients with potentially more severe disease. This questionnaire was evaluated on a population of patients with an indication for endometriosis surgery, which can also select patients with more severe disease. Women with asymptomatic endometriosis were not considered in this study. These factors can affect the external validity of this study.

WIDER IMPLICATIONS OF THE FINDINGS

Patient interviews are relevant to the diagnosis of endometriosis in adolescents and YAW. Combined with imaging and clinical examination, this approach will enable earlier diagnosis and treatment, while remaining non-invasive and rapid.

STUDY FUNDING/COMPETING INTEREST(S)

The study received no funding from external sources. There are no conflicts of interest.

TRIAL REGISTRATION NUMBER

N/A.

Do we want to know the enormity of women's severe menstrual disorders and chronic pelvic pain?

OBJECTIVE

The purpose of this paper is to call for a nationwide study to assess the prevalence and incidence of women health problems related to menstrual disorders and severe pelvic pain.

RATIONALE

The exact prevalence and incidence of endometriosis, adenomyosis, severe painful menstrual disorders, and of severe chronic pelvic pain are unknown. These issues severely impact women's quality of life and represent huge costs for our societies. Using adapted questionnaires, recent progresses in diagnosis and increased fundings announced by politicians, we can and should change this situation by performing a nationwide study to assess prevalence and incidence of these women problems in the French general population. The huge, anticipated costs of this study do appear quite reasonable when accounting for the enormous costs and societal consequences of endometriosis, menstrual disorders and severe pelvic pain.

CONCLUSION

These long-awaited data will improve our understanding of the causes, consequences, and natural history of endometriosis. These data will allow women to better understand that pain is not always related to endometriosis, thus preventing unjustified fears. Physicians will be able to adapt and improve medical managements, particularly the diagnosis. Politicians will have the tools to improve women's health and gender equality.

MRI classification of uterosacral ligament involvement in endometriosis: the Hôtel-Dieu classification

OBJECTIVE

This study aimed to establish the first-ever MRI classification of uterosacral ligament (USL) involvement in deep infiltrating endometriosis (DIE), based on reliable preoperative MRI features correlated with positive predictive values (PPVs) determined through histopathological analysis.

METHODS

Twenty-two women underwent surgery with histopathology due to symptoms highly suggestive of endometriosis. The 22 preoperative MRIs were analysed retrospectively, blinded to histopathology, and a classification of the preoperative aspect of USLs linked to PPVs was designed.

RESULTS

According to their aspects, 6 radiological types of USL were identified. The "L-category" corresponded to linear types with regular or irregular margins, including types 1, 2, 3A, and 3B. The "N-category" corresponded to haemorrhagic or nodular types, including types 4, 5A, 5B, and 6. For the L-category, PPVs ranged from 75% to 88%, depending on the USL radiological type. For the N-category, PPVs were 100% for each type. In women with endometriosis symptoms, MRI underestimated USL involvement, especially for type 1. Among the 6 uteri with lateral deviation, only one false-positive result concerning the stretched USL was induced.

CONCLUSIONS

In women with endometriosis symptoms, our MRI classification identified 2 USL categories, corresponding to 2 kinds of PPV; in these symptomatic patients, a normal MRI does not rule out a DIE diagnosis.

ADVANCES IN KNOWLEDGE

Our MRI classification of USL involvement in endometriosis may be used as a non-invasive staging of the disease, making it much clearer for clinicians and patients. Hence, we are able to propose a suitable diagnostic and therapeutic procedure for each radiological type.

Developing a Predictive Model for Minimal or Mild Endometriosis as a Clinical Screening Tool in Infertile Women: Uterosacral Tenderness as a Key Predictor

STUDY OBJECTIVE

To develop a noninvasive predictive model based on patients with infertility for identifying minimal or mild endometriosis.

DESIGN

A retrospective cohort study.

SETTING

This study was conducted at a tertiary referral center.

PATIENTS

A total of consecutive 1365 patients with infertility who underwent laparoscopy between January 2013 and August 2020 were divided into a training set (n = 910) for developing the predictive model and a validation set (n = 455) to confirm the model's prediction efficiency. The patients were randomly assigned in a 2:1 ratio.

INTERVENTIONS

Sensitivities, specificities, area under the curve, the Hosmer-Lemeshow goodness of fit test, Net Reclassification Improvement index, and Integrated Discrimination Improvement index were evaluated in the training set to select the optimum model. In the validation set, the model's discriminations, calibrations, and clinical use were tested for validation.

MEASUREMENTS AND MAIN RESULTS

In the training set, there were 587 patients with minimal or mild endometriosis and 323 patients without endometriosis. The combination of clinical parameters in the model was evaluated for both statistical and clinical significance. The best-performing model ultimately included body mass index, dysmenorrhea, dyspareunia, uterosacral tenderness, and serum cancer antigen 125 (CA-125). The nomogram based on this model demonstrated sensitivities of 87.7% and 93.3%, specificities of 68.6% and 66.4%, and area under the curve of 0.84 (95% confidence interval 0.81-0.87) and 0.85 (95% confidence interval 0.80-0.89) for the training and validation sets, respectively. Calibration curves and decision curve analyses also indicated that the model had good calibration and clinical value. Uterosacral tenderness emerged as the most valuable predictor.

CONCLUSION

This study successfully developed a predictive model with high accuracy in identifying infertile women with minimal or mild endometriosis based on clinical characteristics, signs, and cost-effective blood tests. This model would assist clinicians in screening infertile women for minimal or mild endometriosis, thereby facilitating early diagnosis and treatment.

Pain perception and analgesic use after cesarean delivery among women with endometriosis

BACKGROUND

Patients with endometriosis are known to have altered pain perceptions. Cesarean delivery (CD) is one of the most prevalent surgeries performed worldwide. Appropriate pain control following CD is clinically important to the recovery and relief of patients. This study assessed pain perception and analgesic use after CD among women with or without endometriosis.

METHODS

This retrospective case control study included women diagnosed with endometriosis, based on clinical or surgical findings, who underwent CD from 2014 to 2022. Controls were matched to the study group by maternal age, BMI (kg/m2), parity, number of previous CDs and by CD indication, in a 2:1 ratio. Post-operative visual analogue scale (VAS) pain scores, on each post-operative day (POD) were compared between groups. Pain intensity was measured and compared using the VAS, range 0 (no pain) to 10 (worst pain). The standard pain relief analgesia protocol in our department includes fixed oral treatment with paracetamol and diclofenac, with the addition of morphine sulphate on POD 0. Analgesic dosages used and the percentage of patients not using the full standard analgesic protocol were compared between groups.

RESULTS

As compared to controls (n = 142), the endometriosis group (n = 71) was characterized by higher rates of in-vitro fertilization (IVF) pregnancies and previous abdominal surgeries other than CD (p < .001 for both). Other maternal characteristics between groups did not differ. On POD 0, mean morphine dosage was significantly higher in the endometriosis group compared to the control group (24 mg vs. 22.8 mg, respectively; p = .044). More patients in the endometriosis group used the full standard analgesia protocol or more, as compared to controls. VAS scores were not significantly different between groups.

CONCLUSIONS

Increased use of analgesics after CD was more common among women with endometriosis. These findings imply that pain relief protocols should be personalized for women with endometriosis.

Investigating the medical journey of endometriosis-affected women: Results from a cross-sectional web-based survey (EndoVie) on 1,557 French women

OBJECTIVE

To investigate the medical journey and the quality of life of French endometriosis-affected women, from the onset of the symptoms to the therapeutic management.

STUDY DESIGN

Between January 15th 2020 and February 3rd 2020, a prospective cross-sectional web-based survey was conducted among women diagnosed with endometriosis. The questionnaire included 52 questions distributed in five sections (screening, sociodemographic characteristics, impacts on quality of life, SF36 questionnaire, management of endometriosis and proposals for care improvement).

RESULTS

One thousand five hundred fifty-seven endometriosis-affected women aged of 42±12.8 years answered the questionnaire. On average, 7 years elapsed between the first symptoms (at 23.8 ± 10.2 years) and the diagnosis (31.0 ± 8.9 years). The mean number of symptoms was 4.6 ± 2.3, with 82 % of women experiencing pain scores between 7 and 10/10. Following diagnosis, 66 % women received a medical treatment, mostly hormonal treatments (45 %), with a significant decrease in pain intensity (VAS scores after treatment = 4.9 ± 2.7, p < 0.001). Most women (62 %) had already been operated, among whom 22 % by laparotomy. Finally, patients reported numerous impacts on their daily lives, particularly on the sexual, psychological, and physical fields. The overall mean score of quality of life was 4.3 ± 2.6 /10.

CONCLUSION

This large prospective web-based survey underlines that the journey of women with endometriosis is long and difficult until diagnosis and efficient treatment. It emphasizes the urgent need to reduce the diagnostic delay and thereby the burden of endometriosis on women's lives. Moreover, the creation of referral multidisciplinary centers appears to be crucial to improve the management of the disease.

Do women with suspected endometriosis benefit from pelvic examination to improve diagnostic and management strategy?

OBJECTIVE

To analyze the literature and expose best evidence available regarding the benefit of pelvic examination for women with suspected endometriosis METHODS: the AGREE II and GRADE systems for grading scientific evidence.

RESULTS

Endometriosis is characterized by the heterogeneity in its clinical presentation with many different symptoms reported by patients. In the literature, questioning for each symptom has a high sensitivity, reaching 76-98 %, but lacks specificity (20 - 58 %). The symptom-based approach is limited by its low specificity, the absence of external validation for most of the models developed and the inability to characterize the extent of the disease, which could have major implications in the decision - making process. The latest systematic review and meta-analysis included a total of 30 studies with 4,565 participants, compared the diagnostic performance of several modalities for endometriosis. Physical examination had a pooled sensitivity of 71 % and a specificity of 69 %, with an average diagnostic accuracy of 0.76. Overall, the value of pelvic examination is conferred by its high positive likehood ratio and specificity. Besides its diagnostic value, pelvic examination improves patients' management by allowing the identification of a possible myofascial syndrome as a differential diagnosis. It also increases the quality of the preoperative workup and influences the quality of surgical excision and decreases the time to diagnosis.

CONCLUSION

Despite the lack of studies in the primary care context, pelvic examination (vaginal speculum and digital vaginal examination) increases the diagnostic value for suspected endometriosis in association with questioning for symptoms.

Association between Endometriosis and the Risk of Ovarian, Endometrial, Cervical, and Breast Cancer: A Population-Based Study from the U.S. National Inpatient Sample 2016-2019

OBJECTIVE

We investigated the potential relationship between endometriosis and risk of ovarian, endometrial, cervical, and breast cancers using the National Inpatient Sample (NIS) database.

METHODS

We utilized the International Classification of Diseases (ICD-10) system to identify relevant codes from the NIS database (2016-2019). Univariate and multivariate regression analyses (adjusted for age, race, hospital region, hospital teaching status, income Zip score, smoking, alcohol use, and hormonal replacement therapy) were conducted to evaluate the association between endometriosis and gynecologic cancers and summarized as odds ratios (ORs) with 95% confidence intervals (CIs).

RESULTS

In the examined dataset, there were 1164 and 225,323 gynecologic cancer patients with and without endometriosis, respectively. Univariate analysis showed endometriosis was significantly associated with a higher risk of ovarian (OR = 3.42, 95% CI: 3.05-3.84, p < 0.001) and endometrial (OR = 3.35, 95% CI: 2.97-3.79, p < 0.001) cancers. There was no significant association between endometriosis and cervical cancer (OR = 1.05, 95% CI: 0.85-1.28, p = 0.663). Interestingly, endometriosis was significantly associated with a low risk of breast cancer (OR = 0.12, 95% CI: 0.10-0.17, p < 0.001). Multivariate analysis after Bonferroni correction (p < 0.006) showed that endometriosis was significantly associated with a high risk of ovarian (adjusted OR = 3.34, 95% CI: 2.97-3.75, p < 0.001) and endometrial (adjusted OR = 3.61, 95% CI: 3.12-4.08, p < 0.001) cancers. Conversely, there was no significant association between endometriosis and cervical cancer (OR = 0.80, 95% CI: 0.65-0.99, p = 0.036).

CONCLUSIONS

Patients with endometriosis exhibited unique gynecologic cancer risk profiles, with higher risks for ovarian and endometrial cancers, and no significant risk for cervical cancer. The observed connection between endometriosis and a reduced risk of breast cancer remains a perplexing phenomenon, which cannot be put into context to date.

Update on the management of endometriosis-associated pain in France

The French National College of Obstetricians and Gynecologists (CNGOF) published guidelines for managing endometriosis-associated pain in 2018. Given the development of new pharmacological therapies and a review that was published in 2021, most national and international guidelines now suggest a new therapeutic approach. In addition, a novel validated screening method based on patient questionnaires and analysis of 109-miRNA saliva signatures, which combines biomarkers and artificial intelligence, opens up new avenues for overcoming diagnostic challenges in patients with pelvic pain and for avoiding laparoscopic surgery when sonography and MRI are not conclusive. Dienogest (DNG) 2 mg has been a reimbursable healthcare expense in France since 2020, and, according to recent studies, it is at least as effective as combined hormonal contraception (CHC) and can be used as an alternative to CHC for first-line treatment of endometriosis-associated pain. Since 2018, the literature concerning the use of DNG has grown considerably, and the French guidelines should be modified accordingly. The levonorgestrel intrauterine system (LNG IUS) and other available progestins per os, including DNG, or the subcutaneous implant, can be offered as first-line therapy, gonadotropin-releasing hormone (GnRH) agonists with add-back therapy (ABT) as second-line therapy. Oral GnRH antagonists are promising new medical treatments for women with endometriosis-associated pain. They competitively bind to GnRH receptors in the anterior pituitary, preventing native GnRH from binding to GnRH receptors and from stimulating the secretion of luteinizing hormone and follicle-stimulating hormone. Consequently, estradiol and progesterone production is reduced. Oral GnRH antagonists will soon be on the market in France. Given their mode of action, their efficacy is comparable to that of GnRH agonists, with the advantage of oral administration and rapid action with no flare-up effect. Combination therapy with ABT is likely to allow long-term treatment with minimal impact on bone mass. GnRH antagonists with ABT may thus be offered as second-line treatment as an alternative to GnRH agonists with ABT. This article presents an update on the management of endometriosis-associated pain in women who do not have an immediate desire for pregnancy.

Acceptability of using the Raising Awareness Tool for Endometriosis (RATE) in general practice: a mixed methods pilot study

AIMS

The Raising Awareness Tool for Endometriosis (RATE) was developed to facilitate discussions with health providers regarding endometriosis-associated symptoms. We aim to evaluate the acceptability of the RATE by general practitioners (GP), including determining the prevalence of symptoms of women presenting to general practice and immediate management of symptoms.

METHODS

A mixed-methods study was undertaken using a combination of quantitative and qualitative data in Western Australian General Practices from 2021 to 2022. A purposive sample of 12 GPs were included, who recruited women (18-50 years) on attendance for consultation over a one- to two-week period, followed by qualitative interviews exploring GPs' experiences with the tool. The quantitative and qualitative components were integrated during analysis of results.

RESULTS

A total of 111 women completed the RATE (mean: 33, standard deviation: 8.6 years) prior to routine consultation. The tool was considered to be acceptable for use in general practice and aided discussions on symptoms and management. Overall, 68.5% of patients experienced pelvic pain or discomfort, with 22.4% rating that this interfered with quality of life. Of those with pelvic pain, 75% had associated chronic pain conditions, and 42.1% reported allodynia. The chronic pain questions provoked GP uncertainty. After symptoms were identified, GPs arranged individualised investigations and follow-up.

CONCLUSIONS

The RATE was considered to be acceptable for use in the general practice setting. It identified symptoms and initiated discussions on possible diagnosis as well as management of endometriosis. Further GP education on identifying those women at most risk of developing chronic pain syndromes is needed.

Use of the Free Endometriosis Risk Advisor App as a Non-Invasive Screening Test for Endometriosis in Patients with Chronic Pelvic Pain and/or Unexplained Infertility

Endometriosis is a prevalent condition that affects millions of individuals globally, leading to various symptoms and significant disruptions to their quality of life. However, the diagnosis of endometriosis often encounters delays, emphasizing the pressing need for non-invasive screening. This retrospective cross-sectional study aimed to evaluate the utility of the Endometriosis Risk Advisor (EndoRA) mobile application in screening for endometriosis in patients with chronic pelvic pain and/or unexplained infertility. The study consisted of 293 patients who met specific criteria: they were English-speaking individuals with chronic pelvic pain and/or unexplained infertility, owned smartphones, and had no prior diagnosis of endometriosis. The results demonstrated that the EndoRA score exhibited a high sensitivity of 93.1% but a low specificity of 5.9% in detecting endometriosis. The positive predictive value was 94.1%, while the negative predictive value was 5.0%. Although the study had limitations and potential selection bias, its findings suggest that EndoRA can serve as a valuable screening tool for high-risk individuals, enabling them to identify themselves as being at an increased risk for endometriosis. EndoRA's non-invasive nature, free access, and easy accessibility have the potential to streamline evaluation and treatment processes, thereby empowering individuals to seek timely care and ultimately improving patient outcomes and overall well-being.

Endometriosis Treatment: Role of Natural Polyphenols as Anti-Inflammatory Agents

Endometriosis is an estrogen-dependent common chronic inflammatory disease defined by the presence of extrauterine endometrial tissue that promotes pelvic pain and fertility impairment. Its etiology is complex and multifactorial, and several not completely understood theories have been proposed to describe its pathogenesis. Indeed, this disease affects women's quality of life and their reproductive system. Conventional therapies for endometriosis treatment primarily focus on surgical resection, lowering systemic levels of estrogen, and treatment with non-steroidal anti-inflammatory drugs to counteract the inflammatory response. However, although these strategies have shown to be effective, they also show considerable side effects. Therefore, there is a growing interest in the use of herbal medicine for the treatment of endometriosis; however, to date, only very limited literature is present on this topic. Polyphenols display important anti-endometriotic properties; in particular, they are potent phytoestrogens that in parallel modulates estrogen activity and exerts anti-inflammatory activity. The aim of this review is to provide an overview on anti-inflammatory activity of polyphenols in the treatment of endometriosis.

Progesterone receptor ligands for the treatment of endometriosis

Estrogen dependence and progesterone resistance play a crucial role in the origin and development of endometriosis. Therefore, hormonal therapies are currently the most effective treatment. Progestins are considered the first-line approach, especially for a long-term management. Progestins are synthetic compounds that mimic the effects of progesterone by binding progesterone receptors. Continuous use of progestins leads to the suppression of ovarian steroidogenesis with anovulation and low serum levels of ovarian steroids, causing endometrial pseudodecidualization. Moreover, they act by interfering on several endometriosis pathogenetic pathways, decreasing inflammation, provoking apoptosis in endometriotic cells, stimulating atrophy or regression of endometrial lesions, inhibiting angiogenesis, and decreasing expression of metalloproteinases, thus diminishing the invasiveness of endometriotic implants. Progestins are effective for pain relief and improvement of the quality of life (QoL). The side effects are limited, and the compounds are available in different formulations and routes of administration and represent, in most cases, an inexpensive treatment option. Dienogest, Medroxyprogesterone acetate and Norethisterone acetate are the labeled progestins for endometriosis, but other progestins, such as Dyhidrogesterone, Levonorgestrel and Desogestrel, have been shown to be effective in the treatment of endometriosis-associated pain. The present review aims to describe the available and emerging evidences on progestins used for the treatment of endometriosis.

[Pelvic exam in gynecology and obstetrics: Guidelines for clinical practice]

OBJECTIVE

To provide guidelines for the pelvic clinical exam in gynecology and obstetrics.

MATERIAL AND METHODS

A multidisciplinary experts consensus committee of 45 experts was formed, including representatives of patients' associations and users of the health system. The entire guidelines process was conducted independently of any funding. The authors were advised to follow the rules of the Grading of Recommendations Assessment, Development and Evaluation (GRADE®) system to guide assessment of quality of evidence. The potential drawbacks of making strong recommendations in the presence of low-quality evidence were emphasized.

METHODS

The committee studied 40 questions within 4 fields for symptomatic or asymptomatic women (emergency conditions, gynecological consultation, gynecological diseases, obstetrics, and pregnancy). Each question was formulated in a PICO (Patients, Intervention, Comparison, Outcome) format and the evidence profiles were produced. The literature review and recommendations were made according to the GRADE® methodology.

RESULTS

The experts' synthesis work and the application of the GRADE method resulted in 27 recommendations. Among the formalized recommendations, 17 present a strong agreement, 7 a weak agreement and 3 an expert consensus agreement. Thirteen questions resulted in an absence of recommendation due to lack of evidence in the literature.

CONCLUSIONS

The need to perform clinical examination in gynecological and obstetrics patients was specified in 27 pre-defined situations based on scientific evidence. More research is required to investigate the benefit in other cases.

Self-report symptom-based endometriosis prediction using machine learning

Endometriosis is a chronic gynecological condition that affects 5-10% of reproductive age women. Nonetheless, the average time-to-diagnosis is usually between 6 and 10 years from the onset of symptoms. To shorten time-to-diagnosis, many studies have developed non-invasive screening tools. However, most of these studies have focused on data obtained from women who had/were planned for laparoscopy surgery, that is, women who were near the end of the diagnostic process. In contrast, our study aimed to develop a self-diagnostic tool that predicts the likelihood of endometriosis based only on experienced symptoms, which can be used in early stages of symptom onset. We applied machine learning to train endometriosis prediction models on data obtained via questionnaires from two groups of women: women who were diagnosed with endometriosis and women who were not diagnosed. The best performing model had AUC of 0.94, sensitivity of 0.93, and specificity of 0.95. The model is intended to be incorporated into a website as a self-diagnostic tool and is expected to shorten time-to-diagnosis by referring women with a high likelihood of having endometriosis to further examination. We also report the importance and effectiveness of different symptoms in predicting endometriosis.

Factors associated with deep infiltrating endometriosis, adenomyosis and ovarian endometrioma

Introduction: To compare epidemiological features and clinical presentations of deep infiltrating endometriosis with endometrioma and adenomyosis, as well as to identify risk factors for the respective histologically confirmed conditions. Method: Patients undergoing index surgery at the National University Hospital, Singapore for endometriosis or adenomyosis over a 7-year period—from 2015 to 2021—were identified from hospital databases using the Table of Surgical Procedures coding. Social and epidemiological features of cases with histologically confirmed diagnoses of endometrioma only, adenomyosis only, and deep infiltrating endometriosis were compared. Significant variables from univariate analysis were entered into 3 binary multivariate logistic regression models to obtain independent risk factors for: deep infiltrating endometriosis versus endometrioma only, deep infiltrating endometriosis versus adenomyosis only, and adenomyosis only versus endometrioma only. Results: A total of 258 patients were included with 59 ovarian endometrioma only, 47 adenomyosis only, and 152 deep infiltrating endometrioses. Compared to endometrioma only, deep infiltrating endometriosis was associated with higher rates of severe dysmenorrhoea (odds ratio [OR] 2.80, 95% confidence interval [CI] 1.02–7.70) and out-of-pocket private surgical care (OR 4.72, 95% CI 1.85–12.04). Compared to adenomyosis only, deep infiltrating endometriosis was associated with a higher fertility desire (OR 13.47, 95% CI 1.01–180.59) and a lower body mass index (OR 0.89, 95% CI 0.79–0.99). In contrast, heavy menstrual bleeding was the hallmark of adenomyosis, being less common in patients with endometriosis. Conclusion: Deep infiltrating endometriosis is associated with severe dysmenorrhoea, pain related to urinary and gastrointestinal tracts, higher fertility desire and infertility rate. Patients with pain symptomatology and subfertility should be referred early to a tertiary centre with the capability to diagnose and manage deep infiltrating endometriosis. Keywords: Adenomyosis, deep infiltrating endometriosis, obstetrics and gynaecology, ovarian endometrioma, public health

Revisiting the Risk Factors for Endometriosis: A Machine Learning Approach

Endometriosis is a condition characterized by implants of endometrial tissues into extrauterine sites, mostly within the pelvic peritoneum. The prevalence of endometriosis is under-diagnosed and is estimated to account for 5-10% of all women of reproductive age. The goal of this study was to develop a model for endometriosis based on the UK-biobank (UKB) and re-assess the contribution of known risk factors to endometriosis. We partitioned the data into those diagnosed with endometriosis (5924; ICD-10: N80) and a control group (142,723). We included over 1000 variables from the UKB covering personal information about female health, lifestyle, self-reported data, genetic variants, and medical history prior to endometriosis diagnosis. We applied machine learning algorithms to train an endometriosis prediction model. The optimal prediction was achieved with the gradient boosting algorithms of CatBoost for the data-combined model with an area under the ROC curve (ROC-AUC) of 0.81. The same results were obtained for women from a mixed ethnicity population of the UKB (7112; ICD-10: N80). We discovered that, prior to being diagnosed with endometriosis, affected women had significantly more ICD-10 diagnoses than the average unaffected woman. We used SHAP, an explainable AI tool, to estimate the marginal impact of a feature, given all other features. The informative features ranked by SHAP values included irritable bowel syndrome (IBS) and the length of the menstrual cycle. We conclude that the rich population-based retrospective data from the UKB are valuable for developing unified machine learning endometriosis models despite the limitations of missing data, noisy medical input, and participant age. The informative features of the model may improve clinical utility for endometriosis diagnosis.

Endometriosis: A Disease with Few Direct Treatment Options

Endometriosis is a gynecological condition characterized by the growth of endometrium-like tissues inside and outside the pelvic cavity. The evolution of the disease can lead to infertility in addition to high treatment costs. Currently, available medications are only effective in treating endometriosis-related pain; however, it is not a targeted treatment. The objective of this work is to review the characteristics of the disease, the diagnostic means and treatments available, as well as to discuss new therapeutic options.

Infertility workup: identifying endometriosis

Endometriosis was classically diagnosed during diagnostic laparoscopies, which used to be routinely performed up until a decade ago or so. This practice fitted with the long-held belief that surgery was the gold standard for diagnosing endometriosis. Today, the abandon of routine diagnostic laparoscopies-in favor of assisted reproductive technology-first therapeutic approaches-has created a void for diagnosing endometriosis. Modern-day imaging techniques-ultrasound and magnetic resonance imaging-when used with a systematic approach have offered a reliable replacement option for diagnosing endometriosis. In infertility, endometriosis should be identified or excluded on the basis of past history or confirmation or exclusion suspicion on the basis of history and/or physical examination.