Assessing the knowledge of endometriosis diagnostic tools in a large, international lay population: an online survey

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

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

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

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

Endometriosis Increases the Risk of Placenta Previa in Both IVF Pregnancies and the General Obstetric Population

Is there a relationship between endometriosis and placenta previa (PP)? To investigate if there is a relationship between endometriosis and PP, a retrospective study was carried out, using prospectively recorded data from two different databases from Cruces University Hospital. Two different populations were included in the study. The ART (assisted reproduction techniques) population consisted of 246 cesarean sections (CS), from a total of 1170 deliveries, and the obstetric population consisted of 7045 CS, from a total of 50,298 deliveries. A representative subset from the obstetric population was established selecting 4 CS without PP for each CS with PP. In our ART population, the PP rate was 1.71% among all deliveries and 8.13% among CS. In our general obstetric population, the PP rate was 0.34% among all deliveries and 2.41% among the CS. Among the CS in ART pregnancies, the PP rate was 20% in the women with endometriosis vs 5.47% in women without endometriosis (OR = 4.32; 95% CI = 1.67-11.17), while considering all ART deliveries, the PP rates were 6.43% and 1.07%, respectively (OR = 6.36; 95% CI = 2.59-15.65). In the CS-obstetric population, the rate of PP was 9.61% among women with endometriosis vs 2.19% among women without endometriosis (OR = 4.74; 95% CI = 2.91-7.73). Considering all deliveries, the PP rate was 1.35% among women with endometriosis vs 0.30% in women without endometriosis. Differences persisted when adjusting for age, IVF, multiplicity, and previous deliveries. In the CS-obstetric population with PP, mean surgical time and hospital stay were significantly higher in women with endometriosis. Endometriosis is associated with a higher risk of PP even after adjusting for other parameters.

AN ULTRASOUND-BASED PREDICTION MODEL TO PREDICT URETEROLYSIS AT LAPAROSCOPIC ENDOMETRIOSIS SURGERY

STUDY OBJECTIVES

To develop a model, including clinical features and ultrasound findings, to predict the need for ureterolysis (i.e. dissection of the ureter) during laparoscopy for endometriosis.

DESIGN

A retrospective observational study of patients who had transvaginal ultrasound (TVS) according to the International Deep Endometriosis Analysis (IDEA) consensus and subsequent laparoscopy +/- excision of endometriosis between January 2017 and February 2021 was conducted.

SETTING

Sydney Medical School Nepean, University of Sydney, Nepean Hospital and Blue Mountains Hospital, New South Wales, Australia INTERVENTION: The demographic, clinical, TVS and intra-operative data were extracted through electronic clinical records.

MEASUREMENTS

Multi-categorical decision-tree and baseline models were built to choose the variables most correlated to the outcome under study. Receiver operating characteristic (ROC) analysis was performed on the binary classification. Based on our results, we selected the variables performing with significant statistical differences (p-value < .05).

MAIN RESULTS

During the study period, 177 consecutive patients were recruited and divided into two subgroups, ureterolysis (51.4%) and and non-ureterolysis (48.6%). Ureterolysis was noted in 87.5% of patients in which the left ovary was immobile (p-value< .001), and in 82.5% in which the right ovary was fixed (p-value<.001). For patients with right uterosacral ligament (USL) deep endometriosis (DE), ureterolysis was performed on 96.2% (p-value< .001), and 64.6% (p-value= .043) for left USL DE. Among patients with bowel DE, the proportion of patients undergoing ureterolysis was 95.5% (p-value < .001). The prognostic variables utilized in the final model to predict ureterolysis included dyschezia, absence of ovarian mobility, presence of right or left USL DE and presence of bowel DE on TVS. According to the developed model, the baseline risk for performing ureterolysis is 20% in our sample. The overall model performance demonstrated an area under the ROC curve 0.82.

CONCLUSION

Our study demonstrates that it is possible to predict the need for ureterolysis with clinical and sonographic data. Furthermore, patients presenting with the combination of the variables of our model (dyschezia, ovarian immobility, USL and bowel DE lesions) have a high risk of ureterolysis. On the other hand, patients without these features have a low risk (approximately 20%) of needing ureterolysis.

Lessons from implementing the Australian National Action Plan for Endometriosis

Abstract

Endometriosis is a common yet under-recognised chronic disease with one in nine (more than 830,000) women and those assigned female at birth diagnosed with endometriosis by the age of 44 years in Australia. In 2018, Australia was the first country to develop a roadmap and blueprint to tackle endometriosis in a nationwide, coordinated manner. This blueprint is outlined in the National Action Plan for Endometriosis (NAPE), created from a partnership between government, endometriosis experts and advocacy groups. The NAPE aims to improve patient outcomes in the areas of awareness and education, clinical management and care and research. As researchers and clinicians are working to improve the lives of those with endometriosis, we discuss our experiences since the launch of the plan to highlight areas of consideration by other countries when developing research priorities and clinical plans. Historically, major barriers for those with endometriosis have been twofold; first, obtaining a diagnosis and secondly, effective symptom management post-diagnosis. In recent years, there have been calls to move away from the historically accepted 'gold-standard' surgical diagnosis and single-provider specialist care. As there are currently no reliable biomarkers for endometriosis diagnosis, specialist endometriosis scans and MRI incorporating artificial intelligence offer a novel method of visualisation and promising affordable non-invasive diagnostic tool incorporating well-established technologies. The recognised challenges of ongoing pain and symptom management, a holistic interdisciplinary care approach and access to a chronic disease management plan, could lead to improved patient outcomes while reducing healthcare costs.

Lay summary

Endometriosis is a chronic disease where tissue like the lining of the uterus is found in other locations around the body. For the 830,000 people living with endometriosis in Australia, this often results in an immense burden on all aspects of daily life. In 2018, Australia was the first country to introduce a roadmap and blueprint to tackle endometriosis in a nationwide coordinated manner with the National Action Plan for Endometriosis. This plan was created as a partnership between government, endometriosis experts and advocacy groups. There are several other countries who are now considering similar plans to address the burden of endometriosis. As researchers and clinicians are working to improve the lives of those with endometriosis, we share our experiences and discuss areas that should be considered when developing these national plans, including diagnostic pathways without the need for surgery, and building new centres of expertise in Endometriosis and Pelvic Pain.