A clinical score can predict associated deep infiltrating endometriosis before surgery for an endometrioma

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.

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.

Endometriosis Predictive Models Based on Self-Assessment Questionnaire, Evidence from Clinical Examination or Imaging Findings: A Narrative Review

OBJECTIVE

The aim of this narrative review is to evaluate existing questionnaires on predictive models for endometriosis. These symptom-based models have the potential to serve as screening tools for adult women to detect endometriosis.

DATA SOURCES

A comprehensive search of PubMed and Embase databases was conducted to identify studies on endometriosis screening.

SELECTION OF STUDIES

The search targeted predictive models for endometriosis localisation, bowel involvement, need for bowel surgery and fertility. Due to the heterogeneity identified, a systematic review was not possible. A total of 23 studies were identified.

DATA EXTRACTION AND SYNTHESIS

Among these studies, twelve included measures for general endometriosis, two targeted specific sites, four focused on deep infiltrating endometriosis (DIE), and three addressed the need for endometriosis-related bowel surgery. Many measures combined clinical, imaging and laboratory tests with patient questionnaires. Validation of these models as screening tools was lacking in all studies, as the focus was on diagnosis rather than screening.

CONCLUSION

This review did not identify any fully validated, symptom-based questionnaires for endometriosis screening in adult women. Substantial validation work remains to establish the efficacy of such tools.

Evaluating the risk of endometriosis based on patients' self-assessment questionnaires

BACKGROUND

Endometriosis is a condition that significantly affects the quality of life of about 10 % of reproductive-aged women. It is characterized by the presence of tissue similar to the uterine lining (endometrium) outside the uterus, which can lead lead scarring, adhesions, pain, and fertility issues. While numerous factors associated with endometriosis are documented, a wide range of symptoms may still be undiscovered.

METHODS

In this study, we employed machine learning algorithms to predict endometriosis based on the patient symptoms extracted from 13,933 questionnaires. We compared the results of feature selection obtained from various algorithms (i.e., Boruta algorithm, Recursive Feature Selection) with experts' decisions. As a benchmark model architecture, we utilized a LightGBM algorithm, along with Multivariate Imputation by Chained Equations (MICE) and k-nearest neighbors (KNN), for missing data imputation. Our primary objective was to assess the model's performance and feature importance compared to existing studies.

RESULTS

We identified the top 20 predictors of endometriosis, uncovering previously overlooked features such as Cesarean section, ovarian cysts, and hernia. Notably, the model's performance metrics were maximized when utilizing a combination of multiple feature selection methods. Specifically, the final model achieved an area under the receiver operator characteristic curve (AUC) of 0.85 on the training dataset and an AUC of 0.82 on the testing dataset.

CONCLUSIONS

The application of machine learning in diagnosing endometriosis has the potential to significantly impact clinical practice, streamlining the diagnostic process and enhancing efficiency. Our questionnaire-based prediction approach empowers individuals with endometriosis to proactively identify potential symptoms, facilitating informed discussions with healthcare professionals about diagnosis and treatment options.

Clinical Diagnosis and Early Medical Management for Endometriosis: Consensus from Asian Expert Group

This work provides consensus guidance regarding clinical diagnosis and early medical management of endometriosis within Asia. Clinicians with expertise in endometriosis critically evaluated available evidence on clinical diagnosis and early medical management and their applicability to current clinical practices. Clinical diagnosis should focus on symptom recognition, which can be presumed to be endometriosis without laparoscopic confirmation. Transvaginal sonography can be appropriate for diagnosing pelvic endometriosis in select patients. For early empiric treatment, management of women with clinical presentation suggestive of endometriosis should be individualized and consider presentation and therapeutic need. Medical treatment is recommended to reduce endometriosis-associated pelvic pain for patients with no immediate pregnancy desires. Hormonal treatment can be considered for pelvic pain with a clinical endometriosis diagnosis; progestins are a first-line management option for early medical treatment, with oral progestin-based therapies generally a better option compared with combined oral contraceptives because of their safety profile. Dienogest can be used long-term if needed and a larger evidence base supports dienogest use compared with gonadotropin-releasing hormone agonists (GnRHa) as first-line medical therapy. GnRHa may be considered for first-line therapy in some specific situations or as short-term therapy before dienogest and non-steroidal anti-inflammatory drugs as add-on therapy for endometriosis-associated pelvic pain.

Risk factors for coexisting deep endometriosis for patients with recurrent ovarian endometrioma

Aim

The aim of this study was to assess the risk factors for coexisting deep endometriosis (DE) in patients with recurrent ovarian endometrioma (OE).

Methods

We retrospectively reviewed 151 recurrent OE patients who had been diagnosed of OE but not DE at the time of their first surgery and then received a second surgery for recurrent endometriosis with or without DE. Their clinical characteristics at the time of the first and second surgeries were collected. Univariate and multivariate logistic regression analyses were conducted to identify potential risk factors for coexisting DE in patients with recurrent OE.

Results

Among the 151 recurrent OE patients, 46 were diagnosed of DE during the recurrent surgery and included in the DE group, while the remaining 105 patients were included in the non-DE group. In univariate analysis, there were significant differences in terms of uterine retroversion during the primary surgery and the follow-up time after the primary surgery between the DE and non-DE groups. The multivariate analysis also showed that both uterine retroversion and the follow-up time (≥5 years) were associated with the coexistence of DE during the recurrent surgery. The odds ratio (OR) for uterine retroversion was 3.72 [95% confidence interval (CI) 1.62–8.53], and the OR for follow-up time (≥5 years) was 5.03 (95% CI 2.29–11.02).

Conclusions

Our study suggested that for recurrent OE patients, uterine retroversion during the first surgery and a follow-up time of at least 5 years are risk factors for the coexistence of DE in recurrent surgery, early prevention and full preparation before the recurrent surgery should be emphasized in these conditions.

Clinical use of artificial intelligence in endometriosis: a scoping review

Endometriosis is a chronic, debilitating, gynecologic condition with a non-specific clinical presentation. Globally, patients can experience diagnostic delays of ~6 to 12 years, which significantly hinders adequate management and places a significant financial burden on patients and the healthcare system. Through artificial intelligence (AI), it is possible to create models that can extract data patterns to act as inputs for developing interventions with predictive and diagnostic accuracies that are superior to conventional methods and current tools used in standards of care. This literature review explored the use of AI methods to address different clinical problems in endometriosis. Approximately 1309 unique records were found across four databases; among those, 36 studies met the inclusion criteria. Studies were eligible if they involved an AI approach or model to explore endometriosis pathology, diagnostics, prediction, or management and if they reported evaluation metrics (sensitivity and specificity) after validating their models. Only articles accessible in English were included in this review. Logistic regression was the most popular machine learning method, followed by decision tree algorithms, random forest, and support vector machines. Approximately 44.4% (n = 16) of the studies analyzed the predictive capabilities of AI approaches in patients with endometriosis, while 47.2% (n = 17) explored diagnostic capabilities, and 8.33% (n = 3) used AI to improve disease understanding. Models were built using different data types, including biomarkers, clinical variables, metabolite spectra, genetic variables, imaging data, mixed methods, and lesion characteristics. Regardless of the AI-based endometriosis application (either diagnostic or predictive), pooled sensitivities ranged from 81.7 to 96.7%, and pooled specificities ranged between 70.7 and 91.6%. Overall, AI models displayed good diagnostic and predictive capacity in detecting endometriosis using simple classification scenarios (i.e., differentiating between cases and controls), showing promising directions for AI in assessing endometriosis in the near future. This timely review highlighted an emerging area of interest in endometriosis and AI. It also provided recommendations for future research in this field to improve the reproducibility of results and comparability between models, and further test the capacity of these models to enhance diagnosis, prediction, and management in endometriosis patients.

Association Between Endometriosis Phenotype and Preterm Birth in France

IMPORTANCE

Endometriosis is an inflammatory disease with a heterogeneous presentation that affects women of childbearing age. Given the limitations of previous retrospective studies, it is still unclear whether endometriosis has adverse implications for pregnancy outcomes.

OBJECTIVE

To evaluate the association between the presence of endometriosis and preterm birth and whether the risk varied according to the disease phenotype.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study with exposed and unexposed groups was conducted in 7 maternity units in France from February 4, 2016, to June 28, 2018. Participants included women with singleton pregnancies who were followed up before 22 weeks' gestation along with their newborns delivered at or after 22 weeks' gestation. The final follow-up occurred in July 2019. Data were analyzed from October 7, 2020, to February 7, 2021.

EXPOSURES

Women in the endometriosis group had a documented history of endometriosis and were classified according to 3 endometriosis phenotypes: isolated superficial peritoneal endometriosis (SUP), ovarian endometrioma (OMA; potentially associated with SUP), and deep endometriosis (DE; potentially associated with SUP and OMA). Women in the control group did not have a history of clinical symptoms of endometriosis before their current pregnancy.

MAIN OUTCOMES AND MEASURES

The primary outcome was preterm birth between 22 weeks and 36 weeks 6 days of gestation. Association between endometriosis and the primary outcome was assessed through univariate and multivariate logistic regression analyses and was adjusted for the following risk factors associated with preterm birth: maternal age, body mass index (calculated as weight in kilograms divided by height in meters squared) before pregnancy, country of birth, parity, previous cesarean delivery, history of myomectomy and hysteroscopy, and preterm birth. The same analysis was performed according to the 3 endometriosis phenotypes (SUP, OMA, and DE).

RESULTS

Of the 1351 study participants (mean [SD] age, 32.9 [5.0] years) who had a singleton delivery after 22 weeks of gestation, 470 were assigned to the endometriosis group (48 had SUP [10.2%], 83 had OMA [17.7%], and 339 had DE [72.1%]) and 881 were assigned to the control group. No difference was observed in the rate of preterm deliveries before 37 weeks 0 days of gestation between the endometriosis and control groups (34 of 470 [7.2%] vs 53 of 881 [6.0%]; P = .38). After adjusting for confounding factors, endometriosis was not associated with preterm birth before 37 weeks' gestation (adjusted odds ratio, 1.07; 95% CI, 0.64-1.77). The results were comparable for the different disease phenotypes (SUP: 6.2% [3 of 48]; OMA: 7.2% [6 of 83]; and DE: 7.4% [25 of 339]; P = .84).

CONCLUSIONS AND RELEVANCE

This cohort study found no association between endometriosis and preterm birth, and the disease phenotype did not appear to alter the result. Monitoring the pregnancy beyond the normal protocols or changing management strategies for women with endometriosis may not be warranted to prevent preterm birth.

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

BACKGROUND

The time between symptoms onset and endometriosis diagnosis is usually long. The negative impacts of delayed endometriosis diagnosis can affect patients and health outcomes.

METHODS

We conducted a case-control study using clinical symptoms and epidemiological data extracted from a prospective pre-operative patient questionnaire compared between patients with histologically proven endometriosis and patients with no endometriosis at surgical exploration from 2005 to 2018, in a French referral center. We used the beta coefficients of the significant variables introduced in a multiple regression model to devise a score (score 1), evaluated by the area under the curve (or C-index), with three levels, defined by a score between 1 and ≥ 25: (i) highly specific, identifying correctly the patients without the disease; (ii) highly sensitive, identifying the patients with the disease; and (iii) a level maximizing sensitivity and specificity for the best classification of the whole population. To minimize patient self-evaluation of pain, we devised a second score (score 2) with the same method and levels and scores definition, excluding visual analog scale pain scores, except for dysmenorrhea. These scores were validated on an internal and external population.

FINDINGS

Score 1 had a C-index of 0.81 (95% CI [0.79-0.83]). Results for the three score 1 levels were: ≥ 25: specificity of 91% (95% CI [89-93]); < 11: sensitivity of 91% (95% CI [89-93]); ≥ 18: specificity of 75% (95% CI [72-78]) and sensitivity of 73% (95% CI [70-76]). Score 2 had a C-index of 0.75 (95% CI [73-77]). The three levels of score 2 were: ≥ 24: specificity of 82% (95% CI [80-85]); < 7: sensitivity of 92% (95% CI [90-94]); ≥ 17: specificity of 62% (95% CI [58-65]) and sensitivity of 78% (95% CI [75-81]). The two scores were internally and externally validated.

INTERPRETATION

A score based only on a patient questionnaire could allow identification of a population at high risk of endometriosis. This strategy might help referral to specialized radiologists for a non-surgical endometriosis scan.

FUNDING

None.

Adipose tissue-derived mesenchymal stem cells reduce endometriosis cellular proliferation through their anti-inflammatory effects

Objective

Endometriosis is a chronic debilitating inflammatory condition characterized by the presence of endometrial tissues outside the uterine cavity. Pelvic soreness and infertility are the usual association. Due to the poor effectiveness of the hormone therapy and the high incidence of recurrence following surgical excision, there is no single effective option for management of endometriosis. Mesenchymal stem cells (MSCs) are multipotent stromal cells studied for their broad immunoregulatory and anti-inflammatory properties; however, their efficiency in endometriosis cases is still a controversial issue. Our study aim was to evaluate whether adipose tissue-derived MSCs (AD-MSCs) could help with endometriosis through their studied anti-inflammatory role.

Methods

Female Wistar rats weighting 180 to 250 g were randomly divided into two groups: group 1, endometriosis group; established by transplanting autologous uterine tissue into rats’ peritoneal cavities and group 2, stem cell treated group; treated with AD-MSCs on the 5th day after induction of endometriosis. The proliferative activity of the endometriosis lesions was evaluated through Ki67 staining. Quantitative estimation of interferon γ, tumor necrosis factor-α, interleukin (IL)-6, IL-1β, IL-10, and transforming growth factor β expression, as well as immunohistochemical detection of CD68 positive macrophages, were used to assess the inflammatory status.

Results

The size and proliferative activity of endometriosis lesions were significantly reduced in the stem cell treated group. Stem cells efficiently mitigated endometriosis associated chronic inflammatory reactions estimated through reduction of CD68 positive macrophages and the expression of the proinflammatory cytokines.

Conclusion

Stem cell therapy can be considered a novel remedy in endometriosis possibly through its anti-inflammatory and antiproliferative properties.

Endometriosis Classification, Staging and Reporting Systems: A Review on the Road to a Universally Accepted Endometriosis Classification

OBJECTIVE

In the field of endometriosis, several classification, staging and reporting systems have been developed. Which endometriosis classification, staging and reporting systems have been published and validated for use in clinical practice?

DATA SOURCES

A systematic PUBMED literature search was performed. Data were extracted and summarized.

METHODS OF STUDY SELECTION

na TABULATION, INTEGRATION AND RESULTS: Twenty-two endometriosis classification, staging and reporting systems have been published between 1973 and 2021, each developed for specific, and different, purposes. There still is no international agreement on how to describe the disease. Studies evaluating the different systems are summarized showing a discrepancy between the intended and the evaluated purpose, and a general lack of validation data confirming a correlation with pain symptoms or quality of life for any of the current systems. A few studies confirm the value of the ENZIAN system for surgical description of deep endometriosis. With regards to infertility, the endometriosis fertility index has been confirmed valid for its intended purpose.

CONCLUSION

Of the 22 endometriosis classification, staging and reporting systems identified in this historical overview, only a few have been evaluated for the purpose for which they were developed. The literature search was limited to PUBMED. Unpublished classification, staging or reporting systems, or those published in books were not considered. It can be concluded that there is no international agreement on how to describe endometriosis or how to classify it, and that most classification/staging systems show no or very little correlation with patient outcomes. This overview of existing systems is a first step in working towards a universally accepted endometriosis classification.

Endometriosis classification, staging and reporting systems: a review on the road to a universally accepted endometriosis classification. Hum Reprod Open 2021;2021:hoab025. [PMID: 34693032 PMCID: PMC8530712 DOI: 10.1093/hropen/hoab025]

STUDY QUESTION

Which endometriosis classification, staging and reporting systems have been published and validated for use in clinical practice?

SUMMARY ANSWER

Of the 22 endometriosis classification, staging and reporting systems identified in this historical overview, only a few have been evaluated, in 46 studies, for the purpose for which they were developed.

WHAT IS KNOWN ALREADY

In the field of endometriosis, several classification, staging and reporting systems have been developed.

PARTICIPANTS/MATERIALS, SETTING, METHODS

A systematic PUBMED literature search was performed. Data were extracted and summarized.

MAIN RESULTS AND THE ROLE OF CHANCE

Twenty-two endometriosis classification, staging and reporting systems have been published between 1973 and 2021, each developed for specific, and different, purposes. There still is no international agreement on how to describe the disease. Studies evaluating the different systems are summarized showing a discrepancy between the intended and the evaluated purpose, and a general lack of validation data confirming a correlation with pain symptoms or quality of life for any of the current systems. A few studies confirm the value of the ENZIAN system for surgical description of deep endometriosis. With regards to infertility, the endometriosis fertility index has been confirmed valid for its intended purpose.

LARGE SCALE DATA

NA.

LIMITATIONS, REASONS FOR CAUTION

The literature search was limited to PUBMED. Unpublished classification, staging or reporting systems, or those published in books were not considered.

WIDER IMPLICATIONS OF THE FINDINGS

It can be concluded that there is no international agreement on how to describe endometriosis or how to classify it, and that most classification/staging systems show no or very little correlation with patient outcomes. This overview of existing systems is a first step in working toward a universally accepted endometriosis classification.

STUDY FUNDING/COMPETING INTEREST(S)

The meetings and activities of the working group were funded by the American Association of Gynecologic Laparoscopists, European Society for Gynecological Endoscopy, European Society of Human Reproduction and Embryology and World Endometriosis Society. A.W.H. reports grant funding from the MRC, NIHR, CSO, Wellbeing of Women, Roche Diagnostics, Astra Zeneca, Ferring, Charles Wolfson Charitable Trust, Standard Life, Consultancy fees from Roche Diagnostics, AbbVie, Nordic Pharma and Ferring, outside the submitted work. In addition, A.W.H. has a patent Serum biomarker for endometriosis pending. N.P.J. reports personal fees from Abbott, Guerbet, Myovant Sciences, Vifor Pharma, Roche Diagnostics, outside the submitted work; he is also President of the World Endometriosis Society and chair of the trust board. S.M. reports grants and personal fees from AbbVie, and personal fees from Roche outside the submitted work. C.T. reports grants, non-financial support and other from Merck SA, non-financial support and other from Gedeon Richter, non-financial support from Ferring Pharmaceuticals, outside the submitted work and without private revenue. K.T.Z. reports grants from Bayer Healthcare, MDNA Life Sciences, Roche Diagnostics Inc, Volition Rx, outside the submitted work; she is also a Board member (Secretary) of the World Endometriosis Society and World Endometriosis Research Foundation, Research Advisory Board member of Wellbeing of Women, UK (research charity), and Chair, Research Directions Working Group, World Endometriosis Society. The other authors had nothing to disclose.

TRIAL REGISTRATION NUMBER

NA.

Endometriosis classification, staging and reporting systems: a review on the road to a universally accepted endometriosis classification

Background

In the field of endometriosis, several classification, staging and reporting systems have been developed. However, endometriosis classification, staging and reporting systems that have been published and validated for use in clinical practice have not been systematically reviewed up to now.

Objectives

The aim of the current review is to provide a historical overview of these different systems based on an assessment of published studies.

Materials and Methods

A systematic Pubmed literature search was performed. Data were extracted and summarised.

Results

Twenty-two endometriosis classification, staging and reporting systems have been published between 1973 and 2021, each developed for specific and different purposes. There is still no international agreement on how to describe the disease. Studies evaluating different systems are summarised showing a discrepancy between the intended and the evaluated purpose, and a general lack of validation data confirming a correlation with pain symptoms or quality of life for any of the current systems. A few studies confirm the value of the Enzian system for surgical description of deep endometriosis. With regards to infertility, the endometriosis fertility index has been confirmed valid for its intended purpose.

Conclusions

Of the 22 endometriosis classification, staging and reporting systems identified in this historical overview, only a few have been evaluated, in 46 studies, for the purpose for which they were developed. It can be concluded that there is no international agreement on how to describe endometriosis or how to classify it, and that most classification/staging systems show no or very little correlation with patient outcomes.

What is new?

This overview of existing systems is a first step in working towards a universally accepted endometriosis classification.

Prediction models in gynaecology: Transparent reporting needed for clinical application

The clinical application of prediction models is increasing within the field of gynaecology and obstetrics. This is mostly due to the fact that clinicians and patients prefer individualized counselling and person specific, more objective outcome assessment. To prevent using inadequate models, it is important to construct and perform prediction model studies correctly. Therefore, the TRIPOD statement (the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) was developed. The aim of this review is to obtain an overview of the existing published prediction models for benign gynaecology and to investigate to what extent these studies meet the TRIPOD criteria. We performed a literature search in the databases PubMed, Embase and Cochrane Library from inception to August 2020. Searching the cross-references of the relevant studies within our search identified additional articles. Publications were included if the aim of the study was to develop a multivariable prediction model within the field of benign gynaecology. Two independent reviewers extracted the data. Analysis of the studies was performed by using a checklist derived from the TRIPOD criteria. Based on our search, 2487 studies were selected, including potential duplications. Eventually, a total of twenty-two studies were selected. 91% of these studies handled their predictors by univariable analysis before developing a multivariable prediction model. Fifteen studies described having missing data, but not all of them (9%) handled these missing data. Four different internal validation methods were used in twenty studies. Fifteen studies (68%) had prediction models with a C-index ≥ 0.7, which indicates a good model. Half of the studies (50%) did not measure the calibration, overall performance was described in two studies (9%). External validation was performed in 9% of the studies. The correct development of a prediction model within benign gynaecology and subsequent transparent reporting of the model development is important to facilitate clinical use. Without transparent reporting, wrong assumptions can be made leading to incorrect application of a specific prediction model. This overview shows that excepting carrying out an external validation, only one article met all the criteria. Therefore, we strongly recommend use of the TRIPOD criteria for developing and validating a prediction model (study). In addition, prior to publication, content experts should critically and statistically review the prediction model. If too many criteria are not met, refusing publication should be considered.

Pathogenesis of Endometriosis: The Origin of Pain and Subfertility

Endometriosis (EM) and adenomyosis (AM) are common conditions with pain and infertility as the principal symptoms. The pathophysiology of pain in EM and AM comprises sensory and somatoform pain mechanisms. Over time, these may aggravate and lead to individual complex disease patterns if not diagnosed and treated. Despite the known facts, several years often pass between the onset of symptoms and diagnosis. Chronic pain disorders with changes on a neuronal level frequently arise and are linked to depressive disorders, with the process becoming a vicious cycle. Additionally, women with EM and AM suffer from sub- and infertility. Low fecundity rates are caused by anatomical changes in combination with behavioral changes in the sexual activity of women with chronic pain as well as local proinflammatory factors that not only decrease implantation rates but also promote early abortions.

Uterine involvement by endometriosis: Sonographic features from elusive findings to apparent adenomyosis

OBJECTIVE

The primary aim of this study is to investigate whether there are any minor sonographic uterine findings, not typical for adenomyosis, in endometriosis patients. The secondary objective is to determine the prevalence of sonographic features of adenomyosis in an infertile population with endometriosis.

STUDY DESIGN

The investigation was of 291 infertile women with endometriosis, either manifesting endometrioma (OMA) or diagnosed through laparoscopy, who were investigated for two-dimensional transvaginal sonographic (2D-TVS) features of adenomyosis. These patients were grouped as either having endometriosis with adenomyosis (EwA,n = 121) or without adenomyosis (EwoA, n = 170). Additionally, patients without both endometriosis and 2D-TVS features of adenomyosis constituted the control group (n = 170).

RESULTS

At least one 2D-TVS feature of adenomyosis was detected in 41.6 % (n = 121) of women with endometriosis. Asymmetrical myometrial thickening of uterine walls (57.9 %), hyperechogenic islands (47.1 %), and fan-shaped shadowing (46.9 %) were relatively more prevalent 2D-TVS findings among EwA patients. Multiple OMA (p = 0.038), OMA ≥ 4 cm (p = 0.034), and total OMA volumes were found to be higher (p = 0.004) in the EwA group. Additionally, uterine volumes were found to be 96.7 cm³, 73.0 cm³, and 64.2 cm³ in the EwA, EwoA, and control groups, respectively (EwA vs EwoA, p < 0.001; EwoA vs control, p <0.001). Multivariate linear regression analysis revealed that the presence of endometriosis was independently associated with an increase in uterine volume (β = 0.243, p < 0.001).

CONCLUSION

A stepwise and statistically significant volume increase from the control group to the EwoA and then to the EwA group may reflect a spectrum of uterine involvement in endometriosis. This might indicate that many uterine endometriosis cases are still hidden from view, possibly demonstrating an "iceberg phenomenon".

Accuracy of transvaginal ultrasound for diagnosis of deep infiltrating endometriosis in the uterosacral ligaments: Systematic review and meta-analysis

OBJECTIVES

To review the diagnostic accuracy of transvaginal ultrasound (TVS) in the preoperative detection of uterosacral ligaments (USL) in patients with clinical suspicion of deep infiltrating endometriosis (DIE).

METHODS

Extensive searches were conducted in PubMed, EMBASE and Cochrane libraries to search studies published between January 1989 and September 2, 2019. The inclusion criteria were the preoperative assessment of USL endometriosis by TVS in patients with clinically suspected DIE, using laparoscopy and histological results as the reference standard. The assessment of research quality uses preferred reporting items, including the System Review and Meta Analysis (PRISMA) guidelines, as well as the quality assessment of diagnostic accuracy study 2 (QUADAS-2) tools.

RESULTS

During our advanced search, 7562 studies were identified. Finally, 11 of which were recognized as qualified and incorporated into this study. The pooled sensitivity, specificity, positive probability ratio (LR+) and negative probability ratio(LR-) of TVS for detecting DIE in the USL were 65 %(95 %CI:43-83), 92 %(95 %CI:84-96), 7.80 (95 %CI:4.7-13.0) and 0.38(95 %CI:0.22-0.66), respectively. There was significant heterogeneity in sensitivity (I²: 97.40 %; Cochran Q, 385.09; P<0.001) and specificity (I², 93.89 %; Cochran Q, 163.75; P < 0.001).

CONCLUSION

TVS provides an excellent comprehensive diagnostic performance for DIE of the USL. However, further research is required to improve the diagnostic quality.

Modification of endometrioma size during hormone therapy containing dienogest

The aim of the present study was to evaluate whether hormone therapy containing dienogest is effective in reducing endometrioma size. A retrospective observational study was conducted on 116 women with endometrioma which was evaluated after 6 and 12 months of either no treatment (n = 46), or hormonal therapy containing dienogest (n = 70), without (DNG; n = 34) or with ethinylestradiol (DNG/EE; n = 36). Median (interquartile range) cyst diameter (23.0 mm (21.0 mm)) and volume (9941.2 mm³ (14240.1 mm³)) of untreated were similar to cyst diameter (25.0 mm (14.5 mm) and volume (7587.7 mm³ (13806.2 mm³)) of treated women. After 12 months, endometrioma volume did not vary in untreated women (-34.0 mm³ (55595.0 mm³); -0.77% (93.9%)) while it significantly decreased (-5400 mm³ (15378.7 mm³); -100.0% (27.7%); p<.0001) during hormone therapy. Volume decrease was linearly related to endometrioma volume ([Formula: see text] R² = 0.899, p<.0001). The effect tended to be greater during DNG alone than DNG/EE (-100.0% (0.0%) vs. -87.9% (47.7%); p<.0004). Cyst disappearance was observed in 4.4% of untreated cases and in 57.1% of cases on hormone therapy (p<.0001) (38.9% with DNG/EE and 76.5% with DNG; p<.03). The early diagnosis and treatment of endometrioma with dienogest-based hormone therapy may be effective in controlling cyst growth and in reducing the need for surgery.

Cycle-related Diarrhea and Dysmenorrhea are Independent Predictors of Peritoneal Endometriosis, Cycle-related Dyschezia is an Independent Predictor of Rectal Involvement

Introduction The clinical presentation of endometriosis is extremely varied. Because endometriosis symptoms may overlap with symptoms caused by gastroenterological disorders, this can lead to misdiagnosis and a considerable delay in arriving at the correct diagnosis. The aim was to evaluate the type and duration of endometriosis-related symptoms and to identify predictors for patterns of involvement depending on symptoms. Material and Method The data of 266 consecutive patients who were operated on in the Endometriosis Center between 1/2016 and 12/2017 after receiving a histologically verified diagnosis of endometriosis were recorded. In addition to recording the clinical parameters, a questionnaire was distributed to the patients, who were asked about their medical history. Infertile patients were grouped together as Group 1 and compared to non-infertile patients (Group 2). Results The response rate for returned questionnaires was 79.47% (182/229). 41.8% of patients reported that they were infertile and 91.8% reported pelvic pain. In more than ⅓ of cases in both groups, more than 10 years passed between the initial symptoms and the final diagnosis (39.4 vs. 37.5%). On average, patients consulted 2.72 (± 1.58) resp. 3.08 (± 1.72) doctors before they presented to a hospital or were referred for laparoscopic diagnostic workup (p = 0.162). Cycle-related diarrhea (odds ratio 2.707; 95% CI: 1.063 - 6.895, p = 0.037) and dysmenorrhea (odds ratio 2.278; 95% CI: 1.193 - 4.348, p = 0.013) were associated with involvement of the pelvic peritoneum, cycle-related dyschezia was associated with rectal involvement by a factor of 4.6 in binary regression analysis (odds ratio 4.659; 95% CI: 1.132 - 19.186; p = 0.033). Conclusion Cycle-related diarrhea and dysmenorrhea increase the risk probability of peritoneal endometriosis. Dyschezia increases the risk probability of rectal endometriosis.

Ultrasonographic soft markers for detection of rectosigmoid deep endometriosis

OBJECTIVES

The aim of this study was to evaluate the use of ultrasound (US) soft markers as a first-line imaging tool to raise suspicion of rectosigmoid (RS) involvement in women suspected of having deep endometriosis.

METHODS

We included in this prospective observational study all patients with clinical suspicion of deep endometriosis who underwent diagnostic transvaginal US evaluation at our unit from January 2016 to February 2017. Several US soft markers were evaluated for prediction of RS involvement (presence of US signs of uterine adenomyosis, presence of an endometrioma, adhesion of the ovary to the uterus (reduced ovarian mobility), presence of 'kissing ovaries' (KO) and absence of the 'sliding sign'), using as the gold standard expert US examination for the presence of RS endometriosis.

RESULTS

Included were 333 patients with clinical suspicion of deep endometriosis. Of these, 106 had an US diagnosis of RS endometriosis by an expert. The only significant variables found in the prediction model were absence of the sliding sign (odds ratio (OR), 13.95; 95% CI, 7.7-25.3), presence of KO (OR, 22.5; 95% CI, 4.1-124.0) and the interaction between these two variables (OR, 0.03; 95% CI, 0.004-0.28). Regarding their interaction, RS endometriosis was present when KO was absent and the sliding sign was present in 10% (19/190) of cases, when both KO and the sliding sign were present in 71.4% (5/7) of cases, when both KO and the sliding sign were absent in 60.8% (76/125) of cases and when KO was present and the sliding sign was absent in 54.5% (6/11) of cases. Thus, when the sliding sign was absent and/or KO was present, transvaginal US showed a specificity of 75% (95% CI, 69-80%) and a sensitivity of 82% (95% CI, 73-88%).

CONCLUSIONS

US findings of absence of the sliding sign and/or presence of KO in patients with clinical suspicion of endometriosis should raise suspicion of RS involvement and indicate referral for expert US examination, with a low rate of false-negative diagnosis. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Development of a prediction model to aid primary care physicians in early identification of women at high risk of developing endometriosis: cross-sectional study

OBJECTIVES

To identify predictors of disease among a few factors commonly associated with endometriosis and if successful, to combine these to develop a prediction model to aid primary care physicians in early identification of women at high risk of developing endometriosis.

DESIGN

Cross-sectional anonymous postal questionnaire study.

SETTING

Women aged 18-45 years recruited from the Norwegian Endometriosis Association and a random sample of women residing in Oslo, Norway.

PARTICIPANTS

157 women with and 156 women without endometriosis.

MAIN OUTCOME MEASURES

Logistic and least absolute shrinkage and selection operator (LASSO) regression analyses were performed with endometriosis as dependent variable. Predictors were identified and combined to develop a prediction model. The predictive ability of the model was evaluated by calculating the area under the receiver operating characteristic curve (AUC) and positive predictive values (PPVs) and negative predictive values (NPVs). To take into account the likelihood of skewed representativeness of the patient sample towards high symptom burden, we considered the hypothetical prevalences of endometriosis in the general population 0.1%, 0.5%, 1% and 2%.

RESULTS

The predictors absenteeism from school due to dysmenorrhea and family history of endometriosis demonstrated the strongest association with disease. The model based on logistic regression (AUC 0.83) included these two predictors only, while the model based on LASSO regression (AUC 0.85) included two more: severe dysmenorrhea in adolescence and use of painkillers due to dysmenorrhea in adolescence. For the prevalences 0.1%, 0.5%, 1% and 2%, both models ascertained endometriosis with PPV equal to 2.0%, 9.4%, 17.2% and 29.6%, respectively. NPV was at least 98% for all values considered.

CONCLUSIONS

External validation is needed before model implementation. Meanwhile, endometriosis should be considered a differential diagnosis in women with frequent absenteeism from school or work due to painful menstruations and positive family history of endometriosis.

Rethinking mechanisms, diagnosis and management of endometriosis

Endometriosis is a chronic inflammatory disease defined as the presence of endometrial tissue outside the uterus, which causes pelvic pain and infertility. This disease should be viewed as a public health problem with a major effect on the quality of life of women as well as being a substantial economic burden. In light of the considerable progress with diagnostic imaging (for example, transvaginal ultrasound and MRI), exploratory laparoscopy should no longer be used to diagnose endometriotic lesions. Instead, diagnosis of endometriosis should be based on a structured process involving the combination of patient interviews, clinical examination and imaging. Notably, a diagnosis of endometriosis often leads to immediate surgery. Therefore, rethinking the diagnosis and management of endometriosis is warranted. Instead of assessing endometriosis on the day of the diagnosis, gynaecologists should consider the patient's 'endometriosis life'. Medical treatment is the first-line therapeutic option for patients with pelvic pain and no desire for immediate pregnancy. In women with infertility, careful consideration should be made regarding whether to provide assisted reproductive technologies prior to performing endometriosis surgery. Modern endometriosis management should be individualized with a patient-centred, multi-modal and interdisciplinary integrated approach.

Clinical diagnosis of endometriosis: a call to action

Endometriosis can have a profound impact on women's lives, including associated pain, infertility, decreased quality of life, and interference with daily life, relationships, and livelihood. The first step in alleviating these adverse sequelae is to diagnose the underlying condition. For many women, the journey to endometriosis diagnosis is long and fraught with barriers and misdiagnoses. Inherent challenges include a gold standard based on an invasive surgical procedure (laparoscopy) and diverse symptomatology, contributing to the well-established delay of 4-11 years from first symptom onset to surgical diagnosis. We believe that remedying the diagnostic delay requires increased patient education and timely referral to a women's healthcare provider and a shift in physician approach to the disorder. Endometriosis should be approached as a chronic, systemic, inflammatory, and heterogeneous disease that presents with symptoms of pelvic pain and/or infertility, rather than focusing primarily on surgical findings and pelvic lesions. Using this approach, symptoms, signs, and clinical findings of endometriosis are anticipated to become the main drivers of clinical diagnosis and earlier intervention. Combining these factors into a practical algorithm is expected to simplify endometriosis diagnosis and make the process accessible to more clinicians and patients, culminating in earlier effective management. The time has come to bridge disparities and to minimize delays in endometriosis diagnosis and treatment for the benefit of women worldwide.

Factors associated with deep infiltrating endometriosis versus ovarian endometrioma in China: a subgroup analysis from the FEELING study

BACKGROUND

To compare potential factors associated with deep infiltrating endometriosis (DIE) versus ovarian endometrioma (OMA) among endometriosis patients in China.

METHODS

A subgroup analysis of factors associated with DIE versus OMA was performed in Chinese women from the FEELING study. This study included 156 OMA patients and 78 DIE patients. Retrospective information on symptoms and previous medical history was collected via face-to-face interviews; patients also completed a questionnaire to provide information on current habits. Univariate and multivariate logistic regression analyses were conducted to identify potential factors that are associated with DIE versus OMA.

RESULTS

From univariate analysis, women who were married, at older age, had any siblings, prior pregnancy, or longer time since age at menarche on the day of visit were more likely to be diagnosed with DIE (P < 0.05). Also, the incidence of previous uterine surgery, menstrual and ovulatory disorders, deep dyspareunia, and gastrointestinal symptoms during menstruation were major factors that were significantly associated with the diagnosis of DIE (P < 0.05). Multivariate analysis showed that women with any siblings, gastrointestinal symptoms during menstruation, or eating a greater number of fruit/vegetables per day were more likely to be diagnosed with DIE. Meanwhile, eating organic food and experiencing stress were major factors that are associated with the diagnosis of OMA.

CONCLUSIONS

The findings provide additional information on the potential risk factors that are associated with DIE, compared with OMA among Chinese endometriosis patients. The results may help to better understand DIE versus OMA, and aid in earlier risk stratification and diagnosis of the patients.

TRIAL REGISTRATION

NCT01351051 . Registered 10 May 2011.

Accuracy of anogenital distance and anti-Müllerian hormone in the diagnosis of endometriosis without surgery

OBJECTIVE

To assess the predictive ability of a combination of anogenital distance (AGD) and anti-Müllerian hormone (AMH) to diagnosis the presence of endometriosis without surgery.

METHODS

The present study included women diagnosed with endometriosis and a control group who attended the "Virgen de la Arrixaca" University Hospital, Murcia, Spain, between September 1, 2014, and May 31, 2015. Serum concentrations of AMH were measured, and two AGD measurements were obtained: from the anterior clitoral surface to the upper verge of the anus (AGD_AC ), and from the posterior fourchette to the upper verge of the anus (AGD_AF ). Data were assessed by receiver operator characteristic (ROC) curves.

RESULTS

Women in the endometriosis group (n=57) had significantly shorter AGD_AF (22.8 ± 4.6 vs 27.2 ± 5.7 mm; P<0.001) and lower AMH (2.2 ± 2.5 vs 3.3 ± 1.9 ng/mL; P<0.003) compared with the control group (n=93). Women with serum AMH below the clinical cut-off (1 ng/mL) were 17.40-times more likely to have endometriosis (95% confidence interval [CI] 5.64-53.82). The area under the ROC curve of combined AMH and AGD_AF was 0.77 (95% CI 0.70-0.85).

CONCLUSION

The model for predicting endometriosis on the basis of AMH and AGD could be useful for clinicians and epidemiologists to improve diagnosis and prognosis of this condition.

[Specific clinical signs suggestive of endometriosis (excluding adenomyosis) and questionnaires of symptoms, pain and quality of life: CNGOF-HAS Endometriosis Guidelines]

In case of consultation for chronic pelvic pain or suspicion of endometriosis, it is recommended to evaluate the pain (intensity, resonance) and to search out the evocative and localizing symptoms of endometriosis (Grade B). The main symptoms suggestive of endometriosis are: severe dysmenorrhea (NP2), deep dyspareunia (NP2), painful defecation during menstruation (NP2), urinary tract symptoms during menstruation (NP2) and infertility (NP2). In patients with chronic pelvic pain, it is recommended to search deep infiltrating endometriosis in patients with painful defecation during menstruation or severe deep dyspareunia (Grade B). It is recommended to search symptoms suggestive of sensitization in painful patients with endometriosis (Grade B). When suggestive symptoms of endometriosis are present, a directed gynecological examination is recommended, where possible, including examination of the posterior vaginal cul-de-sac (Grade C). In assessing pain intensity or evaluating analgesic effectiveness of a treatment, it is recommended to use a scale to measure the intensity of pain (Grade A). In the management of symptomatic endometriosis, it is recommended to evaluate the quality of life (Grade C).

[Definition, description, clinicopathological features, pathogenesis and natural history of endometriosis: CNGOF-HAS Endometriosis Guidelines]

Endometriosis and adenomyosis are histologically defined. The frequency of endometriosis cannot be precisely estimated in the general population. Endometriosis is considered a disease when it causes pain and/or infertility. Endometriosis is a heterogeneous disease with three well-recognized subtypes that are often associated with each other: superficial endometriosis (SUP), ovarian endometrioma (OMA), and deep infiltrating endometriosis (DIE). DIE is frequently multifocal and mainly affects the following structures: the uterosacral ligaments, the posterior vaginal cul-de-sac, the bladder, the ureters, and the digestive tract (rectum, recto-sigmoid junction, appendix). The role of menstrual reflux in the pathophysiology of endometriosis is major and explains the asymmetric distribution of lesions, which predominate in the posterior compartment of the pelvis and on the left (NP3). All factors favoring menstrual reflux increase the risk of endometriosis (early menarche, short cycles, AUB, etc.). Inflammation and biosteroid hormones synthesis are the main mechanisms favoring the implantation and the growth of the lesions. Pain associated with endometriosis can be explained by nociception, hyperalgia, and central sensitization, associated to varying degrees in a single patient. Typology of pain (dysmenorrhea, deep dyspareunia, digestive or urinary symptoms) is correlated with the location of the lesions. Infertility associated with endometriosis can be explained by several non-exclusive mechanisms: a pelvic factor (inflammation), disrupting natural fertilization; an ovarian factor, related to oocyte quality and/or quantity; a uterine factor disrupting implantation. The pelvic factor can be fixed by surgical excision of the lesions that improves the chance of natural conception (NP2). The uterine factor can be corrected by an ovulation-blocking treatment that improves the chances of getting pregnant by in vitro fertilization (NP2). The impact of endometrioma exeresis on the ovarian reserve (NP2) should be considered when a surgery is scheduled. Endometriosis is a multifactorial disease, resulting from combined action of genetic and environmental factors. The risk of developing endometriosis for a first-degree relative is five times higher than in the general population (NP2). Identification of genetic variants involved in the disease has no implication for clinical practice for the moment. The role of environmental factors, particularly endocrine disrupters, is plausible but not demonstrated. Literature review does not support the progression of endometriosis over time, either in terms of the volume or the number of the lesions (NP3). The risk of acute digestive occlusion or functional loss of a kidney in patients followed for endometriosis seems exceptional. These complications were revealing the disease in the majority of cases. IVF does not increase the intensity of pain associated with endometriosis (NP2). There is few data on the influence of pregnancy on the lesions, except the possibility of a decidualization of the lesions that may give them a suspicious aspect on imaging. The impact of endometriosis on pregnancy is debated. There is an epidemiological association between endometriosis and rare subtypes of ovarian cancer (endometrioid and clear cell carcinomas) (NP2). However, the relative risk is moderate (around 1.3) (NP2) and the causal relationship between endometriosis and ovarian cancer is not demonstrated so far. Considering the low incidence of endometriosis-associated ovarian cancer, there is no argument to propose a screening or a risk reducing strategy for the patients.

Diagnostic accuracy of magnetic resonance imaging, transvaginal, and transrectal ultrasonography in deep infiltrating endometriosis

To determine the diagnostic accuracy of pelvic magnetic resonance imaging (MRI), transvaginal sonography (TVS), and transrectal sonography (TRS) in diagnosis of deep infiltrating endometriosis (DIE).This diagnostic accuracy study was conducted during a 2-year period including a total number of 317 patients with signs and symptoms of endometriosis. All the patients were evaluated by pelvic MRI, TVS, and TRS in the same center. The criterion standard was considered to be the laparoscopy and histopathologic examination.Of 317 patients being included in the present study, 252 tested positive for DIE. The sensitivity, specificity, positive predictive value, and negative predictive value of TVS was found to be 83.3%, 46.1%, 85.7%, and 41.6%, respectively. These variables were 80.5%, 18.6%, 79.3%, and 19.7% for TRS and 90.4%, 66.1%, 91.2%, and 64.1% for MRI, respectively. MRI had the highest accuracy (85.4%) when compared to TVS (75.7%) and TRS (67.8%). The sensitivity of TRS, TVS, and MRI in uterosacral ligament DIE was 82.8%, 70.9%, and 63.6%, respectively. On the contrary, specificity had a reverse trend, favoring MRI (93.9%, 92.8%, and 89.8% for TVS and TRS, respectively).The results of the present study demonstrated that TVS and TRS have appropriate diagnostic accuracy in diagnosis of DIE comparable to MRI.

To operate or not to operate on women with deep infiltrating endometriosis (DIE) before in vitro fertilization (IVF)

Deep infiltrating endometriosis (DIE) can cause infertility and pelvic pain. There is little evidence of a clear connection between DIE and infertility, and the absolute benefits of surgery for DIE have not been established. This paper aimed to review the current literature on the effect of surgery for DIE on fertility, pregnancy, and IVF outcomes. Clinicians should bear in mind that a comprehensive clinical history is useful to identify patients at risk for endometriosis, although many women remain asymptomatic. Imaging can be useful to plan surgery. The effect of surgery on the fertility of women with DIE remains unanswered due to the heterogeneous nature of the disease and the lack of trials with enough statistical power and adequate follow-up. Surgery is not recommended when the main goal is to treat infertility or to improve IVF results. Decisions should be tailored according to the individual needs of each woman. Patients must be provided information on the potential benefits, harm, and costs of each treatment alternative, while the medical team observes factors such as presence of pelvic pain, patient age, lesion location, and previous treatments. In this scenario, management by a multidisciplinary endometriosis team is a key step to achieving successful outcomes.

Patient-completed or symptom-based screening tools for endometriosis: a scoping review

PURPOSE

The objective of this review was to evaluate existing patient-completed screening questionnaires and/or symptom-based predictive models with respect to their potential for use as screening tools for endometriosis in adult women. Validated instruments were of particular interest.

METHODS

We conducted structured searches of PubMed and targeted searches of the gray literature to identify studies reporting on screening instruments used in endometriosis. Studies were screened according to inclusion and exclusion criteria that followed the PICOS (population, intervention, comparison, outcomes, study design) framework.

RESULTS

A total of 16 studies were identified, of which 10 described measures for endometriosis in general, 2 described measures for endometriosis at specific sites, and 4 described measures for deep-infiltrating endometriosis. Only 1 study evaluated a questionnaire that was solely patient-completed. Most measures required physician, imaging, or laboratory assessments in addition to patient-completed questionnaires, and several measures relied on complex scoring. Validation for use as a screening tool in adult women with potential endometriosis was lacking in all studies, as most studies focused on diagnosis versus screening.

CONCLUSIONS

This literature review did not identify any fully validated, symptom-based, patient-reported questionnaires for endometriosis screening in adult women.

Investigation of anogenital distance as a diagnostic tool in endometriosis

An association between anogenital distance (AGD) and endometriosis has been reported, suggesting that AGD may be a useful clinical tool in endometriosis. The predictive ability of AGD of women in discriminating presence and type of endometriosis was examined. A case-control study was conducted at the University Hospital 'Virgen de la Arrixaca', Murcia, Spain, between 2014 and 2015. A total of 114 participants diagnosed with endometriosis using ultrasound findings and 105 controls were recruited. Two AGD measurements were obtained: one from the anterior clitoral surface to the upper verge of the anus (AGD_AC), and another one from the posterior fourchette to the upper verge of the anus (AGD_AF). Parametric and non-parametric tests andreceiver operator characterstic analyses were used to determine relationships between AGD and presence of endometriosis and subgroups (ovarian endometriomas or deep infiltrating endometriosis [DIE]). The AGD_AF, but not AGD_AC, was associated with presence of endometriomas, DIE (P-values, <0.001-0.02), or both. The highest area under curve (0.91; 95% CI 0.84 to 0.97) was obtained for the DIE subgroup with the AGD_AF measurement, with a sensitivity and specificity of 84.4% and 91.4%, respectively. AGD_AF can therefore efficiently discriminate the presence of DIE and may be a useful clinical tool.

Full-Thickness Excision versus Shaving by Laparoscopy for Intestinal Deep Infiltrating Endometriosis: Rationale and Potential Treatment Options

Endometriosis is defined as the presence of endometrial mucosa (glands and stroma) abnormally implanted in locations other than the uterine cavity. Deep infiltrating endometriosis (DIE) is considered the most aggressive presentation of the disease, penetrating more than 5 mm in affected tissues, and it is reported in approximately 20% of all women with endometriosis. DIE can cause a complete distortion of the pelvic anatomy and it mainly involves uterosacral ligaments, bladder, rectovaginal septum, rectum, and rectosigmoid colon. This review describes the state of the art in laparoscopic approach for DIE with a special interest in intestinal involvement, according to recent literature findings. Our attention has been focused particularly on full-thickness excision versus shaving technique in deep endometriosis intestinal involvement. Particularly, the aim of this paper is clarifying from the clinical and methodological points of view the best surgical treatment of deep intestinal endometriosis, since there is no standard of care in the literature and in different surgical settings. Indeed, this review tries to suggest when it is advisable to manage the full-thickness excision or the shaving technique, also analyzing perioperative management, main complications, and surgical outcomes.