Endometriosis · Surgical Treatment
Abstract
Endometriosis is a chronic and inflammatory condition that affects approximately 10% of the reproductive-age population. During the COVID-19 pandemic, there was a shift towards virtual care for endometriosis. Our aim was to evaluate the diagnostic and treatment outcomes of virtual-only care, compared to those who had both virtual and in-person visits.
Retrospective descriptive analysis of registry data.
This study was conducted in British Columbia, Canada, at a tertiary referral center for endometriosis and pelvic pain.
In this cohort (n = 389), we examined patients who received an initial virtual assessment followed by virtual care alone (Virtual Only group, n = 203) and those who had an initial virtual assessment followed by an in-person physical exam (Physical Exam group, n = 186).
Virtual care at the center during the COVID-19 pandemic.
The Physical Exam group was more likely to have surgery compared to the Virtual Only group (45.7% vs. 16%, p <.001). At the time of surgery, the groups did not differ based on type of surgery (e.g., excision of endometriosis and/or hysterectomy), endometriosis anatomic findings (e.g., stage and anatomic subtype), surgical complexity or surgical complications. At baseline, the two groups did not differ in their pain, mental health or quality of life scores. At 1-year follow-up, the two groups did not differ in these outcome measures.
There was a lower rate of surgery, but no differences in surgical findings or complications, nor in 1-year outcomes, after virtual only care for endometriosis compared to patients that had a virtual visit and then underwent a physical exam. These results support a hybrid model, where a virtual visit is the first contact and serves as a triage tool to determine whether a patient is appropriate for virtual only care or would benefit from a physical exam. Future research could incorporate population-based administrative data or qualitative approaches to understanding patient experiences and physician perspectives on virtual care for the treatment of endometriosis.
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By this author
Mid-Cycle Pain in Endometriosis: Clinical Correlations and Potential Etiological Factors
Rojas HE et al., 2026 · Journal of women's health (2002)
To characterize differences between individuals with and without mid-cycle pain in a registry cohort with endometriosis. Prospective analysis of data from the Endometriosis Pelvic Pain Interdisciplinary Cohort Data Registry (Clinicaltrials.gov #NCT02911090) at a tertiary referral center in Western Canada. Three hundred forty-five individuals aged 18-49 years who: (1) had at least one episode of menstrual bleeding in the last 3 months, (2) attended a baseline initial visit, and (3) subsequently had surgery with histological confirmation of endometriosis between January 2018 and December 2023. Exclusion criteria included (1) previous hysterectomy; (2) hormonal suppressive therapy use in the last 3 months; and (3) missing data on mid-cycle pain, history of hormonal therapy use, or menstrual cycle regularity. N/A. Mid-cycle pain in the last month versus No mid-cycle pain in the last month. Of the 345 participants, 67% (n = 232) reported mid-cycle pain in the last month. Mid-cycle pain in the last month was significantly associated with higher mean Central Sensitization Inventory score (48 ± 17 versus 36 ± 16, p < 0.001) and more months of prior hormonal suppressive therapy use (58 [14-120] versus 26 [0-109], p = 0.012). Abnormal anatomy at the time of surgery (e.g., endometrioma, ovarian adhesions) was not associated with mid-cycle pain in the last month. In this endometriosis cohort at a tertiary referral center, most participants reported mid-cycle pain in the last month, which was associated with central sensitization but was not clearly related to endometriosis anatomical distortion.
Validating ovulation prediction and confirmation with the Mira monitor: blinded ultrasound and serum hormone comparison
Bouchard TP et al., 2026 · Reproductive biomedicine online · Free to read
Do quantitative urinary hormone measurements on the Mira monitor predict and confirm ovulation accurately compared with ultrasound in women with regular menstrual cycles? Do Mira urine hormones correlate with serum hormones? This was a prospective, single-centre, blinded diagnostic accuracy study with 52 women aged 19-44 years with regular cycles (24-38 days) who tracked 153 cycles over 18 months. Daily first-morning urine was tested with the Mira monitor for follicle stimulating hormone (FSH), oestrone-3-glucuronide (E13G), luteinizing hormone (LH) and pregnanediol glucuronide (PDG). Serial transvaginal ultrasounds (890 scans) confirmed the day of ovulation. Serum hormones were measured twice per cycle. The 121 ovulatory cycles from 49 participants with sufficient index test and reference standard data were included in the final analysis. The Mira LH peak day strongly predicted ultrasound-confirmed ovulation (R² = 0.96, P < 0.001; intraclass correlation coefficient = 0.971), with 96% of ovulations occurring within ±1 day. The Mira PDG increase was also strongly associated with ultrasound-confirmed day of ovulation (R² = 0.87, P < 0.001). First-morning urine hormones were significantly associated with serum hormones when collected within 90 min (LH: R² = 0.92; E13G: R² = 0.73; R² = 0.61; R² = 0.75). Anovulatory cycles were identified in 11% of regularly cycling participants. Quantitative urinary hormone monitoring with the Mira monitor provides accurate prediction and confirmation of ovulation, with strong urine-serum associations supporting reduced reliance on serial serum draws in select patients. These findings support clinical adoption of quantitative urinary fertility monitoring.
Impact of the coronavirus disease-2019 (COVID-19) pandemic on reproductive outcomes in patients with recurrent pregnancy loss
Balachandran S et al., 2026 · Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC
To assess the impact of the COVID-19 pandemic on reproductive outcomes in patients with recurrent pregnancy loss (RPL) and the influence of material and social deprivation on these outcomes. This retrospective cohort study included RPL patients seen at a specialized clinic between March 1, 2018, and February 28, 2022. Patients were categorized into two groups based on care period: pre-pandemic (March 1, 2018-February 29, 2020) and pandemic (March 1, 2020-February 28, 2022). Cumulative probabilities of birth were estimated using the cumulative incidence function within a competing risk framework, treating pregnancy loss as a competing event. Fine and Gray regression models calculated sub-distribution hazard ratio (sHR) of birth. 544 patients were included in the study, with 255 in the pre-pandemic group and 289 in the pandemic group. Individuals in the pandemic group were less likely to achieve pregnancy than those in the pre-pandemic group (relative risk = 0.50, 95% confidence interval [CI] 0.39 - 0.66). Among those who conceived, the cumulative probability of live birth was 0.77 in both groups. Relative to individuals residing in high-social deprivation neighborhoods, those living in moderately deprived areas had higher sub-distribution hazards of live birth (adjusted sHR = 1.97, 95% CI 1.25 - 3.10; P = 0.003). Within specialized RPL care and a universal maternity care system, pregnancy rates were lower during the first two years of the COVID-19 pandemic. However, among those who conceived, the probability of achieving a live birth remained similar between the pre-pandemic and pandemic periods.
Using corpus luteum formation with dominant follicle collapse to improve the criteria for identifying ovulation
Bouchard TP et al., 2026 · Reproductive biomedicine online · Free to read
Does formation of the corpus luteum help to identify the day of ovulation on ultrasound when follicular collapse is missed, and how reliable are sonographers versus a review panel in identifying the day of ovulation on ultrasound? Sonographers in a clinic in Canada performed serial endovaginal ultrasound scans (six to eight per cycle) to identify the day of ovulation in regularly cycling women (n = 40) who were followed for one to five cycles (n = 85). The day of ovulation was identified by: (i) identification of the dominant follicle; (ii) disappearance of the dominant follicle; and (iii) identification and dating of the corpus luteum. The main outcome measures were inter-rater reliability between two sonographers, and Bland-Altman agreement between the supervising sonographer and a panel that reviewed each scan to identify the day of ovulation. Of the 85 menstrual cycles reviewed, two cycles did not have sufficient data to date ovulation, one cycle showed an incidental dermoid cyst, and 11 cycles showed anovulatory patterns. This left a total of 71 cycles (84%) for which intra-rater reliability between two sonographers for identifying the day of ovulation was high (intraclass correlation coefficient = 0.99, P < 0.0001), and Bland-Altman agreement showed no significant difference in the estimated day of ovulation between the supervising sonographer and the panel (t = -0.28, P = 0.78). Corpus luteum criteria were necessary to help identify the day of ovulation in 14 of 71 cycles (20%). The estimated day of ovulation can be determined reliably on ultrasound by trained sonographers using collapse of the dominant follicle and formation of the corpus luteum based on six to eight scans per cycle.
Related research
Comprehensive Review of Endometriosis Care
Carey ET et al., 2025 · Obstetrics & Gynecology
Endometriosis is an estrogen-dependent, chronic inflammatory disorder characterized by the presence of endometrium-like tissue outside the uterus, affecting approximately 10% of individuals of reproductive age. It contributes to chronic pelvic pain, dysmenorrhea, and subfertility, resulting in substantial societal economic burdens. Genetic and environmental risk factors have been identified, and recent research suggests that endometriosis functions as a systemic disease affecting nonreproductive systems and increasing susceptibility to other health conditions. Various phenotypes-superficial peritoneal endometriosis, ovarian endometriomas, and deep endometriosis-may develop under different mechanisms, yet the relationship between these presentations remains unclear. Diagnosis relies on clinical evaluation, imaging, and surgical staging, and the advent of advanced ultrasonography and magnetic resonance imaging has helped to enhance accuracy. Although medical management focuses on hormonal modulation to alleviate symptoms, surgical intervention remains a critical tool for refractory symptoms. Postoperative care and patient education are essential to manage recurrence and to improve quality of life. Current research emphasizes the need for comprehensive, interdisciplinary approaches to endometriosis management, incorporating novel diagnostic tools, diverse therapeutic avenues, and patient-centered care models. Addressing disparities in treatment access is essential to improving outcomes. To achieve this, recruiting and analyzing data from racially, socioeconomically, and geographically diverse cohorts will reveal how disease presentation and treatment efficacy vary across populations. Continued efforts in research and health care policy are necessary to develop effective and personalized strategies in managing endometriosis.
Epidemiology of endometriosis in female evacuated from the Eastern Ukrainian military conflict regions: results a multicenter study (2022-2024)
Salmanov AG et al., 2025 · Wiadomosci lekarskie (Warsaw, Poland : 1960)
To estimate the prevalence and risk factors associated with endometriosis in female evacuated from the Eastern Ukrainian military conflict regions. Materials and A prospective multicenter cohort study was based on surveillance data for endometriosis. 982 women undergoing pelvic surgery were compared to 264 patients unexposed to surgery. The study cohort included women, who underwent a diagnostic and/or therapeutic laparoscopy or laparotomy in 2022-2024. Endometriosis among women was diagnosed visually at laparoscopy/laparotomy or by pelvic magnetic resonance imaging. The prospective multicenter study included 1,246 women. The overall prevalence of endometriosis was 31.5%. Prevalence of the three types of endometrioses included peritoneal/superficial endometriosis, ovarian endometriotic cyst/endometrioma and deep infiltrating endometriosis was 13.8%, 9.8%, and 4.8%, respectively. Three hundred sixty-one women 36,8% in the surgical group and thirty-one women 13.3% in the community treatment group (unexposed to surgery, population cohort) were diagnosed with incident endometriosis. The pelvic pain, infertility and early age at menarche to be a consistent risk factor for endometriosis in both the operative and population cohorts. Data analysis showed that odds were decreased for gravidity, parity, and BMI. Factors that increased the odds of endometriosis diagnosis included dysmenorrhea, older age at first sex, pelvic pain as a surgical indication for laparoscopy, and higher education. Our study findings demonstrate the high prevalence of endometriosis among women in Ukraine. The pelvic pain, infertility and early age at menarche to be a consistent risk factor for endometriosis in both the operative and population cohorts.
An artificial intelligence approach for investigating multifactorial pain-related features of endometriosis
Kiser AC et al., 2024 · PLoS One · Free full text on PubMed Central
Endometriosis is a debilitating, chronic disease that is estimated to affect 11% of reproductive-age women. Diagnosis of endometriosis is difficult with diagnostic delays of up to 12 years reported. These delays can negatively impact health and quality of life. Vague, nonspecific symptoms, like pain, with multiple differential diagnoses contribute to the difficulty of diagnosis. By investigating previously imprecise symptoms of pain, we sought to clarify distinct pain symptoms indicative of endometriosis, using an artificial intelligence-based approach. We used data from 473 women undergoing laparoscopy or laparotomy for a variety of surgical indications. Multiple anatomical pain locations were clustered based on the associations across samples to increase the power in the probability calculations. A Bayesian network was developed using pain-related features, subfertility, and diagnoses. Univariable and multivariable analyses were performed by querying the network for the relative risk of a postoperative diagnosis, given the presence of different symptoms. Performance and sensitivity analyses demonstrated the advantages of Bayesian network analysis over traditional statistical techniques. Clustering grouped the 155 anatomical sites of pain into 15 pain locations. After pruning, the final Bayesian network included 18 nodes. The presence of any pain-related feature increased the relative risk of endometriosis (p-value < 0.001). The constellation of chronic pelvic pain, subfertility, and dyspareunia resulted in the greatest increase in the relative risk of endometriosis. The performance and sensitivity analyses demonstrated that the Bayesian network could identify and analyze more significant associations with endometriosis than traditional statistical techniques. Pelvic pain, frequently associated with endometriosis, is a common and vague symptom. Our Bayesian network for the study of pain-related features of endometriosis revealed specific pain locations and pain types that potentially forecast the diagnosis of endometriosis.
Outcomes After Surgery at an Interdisciplinary Centre of Expertise for Endometriosis and Pelvic Pain in Canada: A Prospective Cohort Study
Lee CE et al., 2024 · Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC
To prospectively evaluate pain-related quality-of-life (Endometriosis Health Profile-30 [EHP-30] pain subscale) after surgery at an interdisciplinary centre of expertise for endometriosis and pelvic pain. A prospective cohort study was completed of persons undergoing surgical management for pelvic pain between December 2013 and July 2016 at an interdisciplinary tertiary referral centre for pelvic pain and endometriosis. We compared the change in EHP-30 scores for the following scenarios: (1) type of surgery (conservative surgery vs. hysterectomy), (2) stage of endometriosis (stage I/II vs. III/IV), and (3) age (age <40 vs. age ≥40 years). We used mixed-effects models to evaluate changes in pain during follow-up after surgery. Overall, 595 individuals met our inclusion criteria; the follow-up rate was 65.9% (392/595). In total, 436 (73.3%) underwent conservative surgery, while 159 (26.7%) underwent hysterectomy. Improvements in pain-related quality-of-life were seen for both conservative surgery and hysterectomy but greater improvements were seen with hysterectomy (P < 0.001). For conservative surgery, similar improvements in quality-of-life were observed regardless of endometriosis stage (I/II vs. III/IV) (P = 0.84) or age (<40 or ≥40 years old) (P = 0.87). We also observed similar improvements in quality-of-life regardless of stage (P = 0.24) or age (P = 0.71) after hysterectomy. At an interdisciplinary centre of expertise, there were significant improvements in quality-of-life after endometriosis surgery. These improvements were seen for both conservative surgery and hysterectomy (although greater improvement with the latter), for early and advanced stage disease, and younger and older patients.