The coagulation status in women of endometriosis with stage IV.

BACKGROUND: Endometriosis is considered as a systemic disease with the presence of proinflammatory cytokines in the circulation, which drives hypercoagulable state of endometriosis. Currently, endometriosis is classified into four stages: I (minimal), II (mild), III (moderate) and IV (severe). The aim of this study is to investigate the correlations between inflammatory markers and coagulation factors in patients diagnosed of endometriosis with stage IV. METHODS: This retrospective case-control study included 171 endometriosis patients with stage IV and 184 controls. Continuous data were expressed by mean ± standard deviation. Mann-Whitney U and χ2 tests were used to compare the medians and frequencies among the groups. Spearman analysis was conducted to determine the correlation among the measured parameters. The diagnostic values of the parameters differentiating endometriomas were tested by receiver operating characteristic (ROC) curve. RESULTS: The time of activated partial thromboplastin time (APTT) was decreased and the concentration of fibrinogen (FIB) and neutrophil-to-lymphocyte ratio (NLR) were increased in women of endometriosis with stage IV. The APTT were negatively correlated with NLR while the concentrations of FIB were positively correlated with NLR. The ROC analysis showed that the Area under the curve (AUC) of FIB was 0.766 (95% confidence interval:0.717-0.814) with sensitivity and specificity reaching 86.5 and 60.9%, respectively. The AUC of CA125 and CA199 was 0.638 (95% confidence interval: 0.578-0.697), 0.71 (95% confidence interval: 0.656-0.763) with sensitivity and specificity reaching 40.9 and 91.8%, 80.7 and 56.5% respectively. The combination of these factors showed the highest AUC of 0.895 (0.862-0.927) with sensitivity of 88.9% and specificity of 77.7%. CONCLUSION: In the present study, we found that inflammatory factors showed significant correlation with APTT or FIB in endometriosis with stage IV. Moreover, the coagulation factors combined with CA125 and CA199 were more reliable for identifying the endometriosis with stage IV.

Endometriosis: Improvements and challenges in diagnosis and symptom management.

Endometriosis is a chronic disorder with debilitating symptoms that is difficult to diagnose and treat. Advances in imaging technologies and strategies for the management of symptoms are improving the quality of life of patients by reducing the time taken for diagnosis and offering a more balanced approach to therapy.

A lack of sociodemographic participant diversity in endometriosis evidence risks unrepresentative clinical guidance: a structured review of the evidence contributing to a NICE guideline.

BACKGROUND: Women who are black are less likely to be diagnosed with endometriosis than white women. There is no confirmed biological basis, so this likely represents structural barriers around health care. There is a lack of evidence exploring the interface between ethnicity and symptoms or experience of care and treatment. AIM: To map recording of sociodemographic diversity in the evidence informing an endometriosis guideline. METHOD: Inclusion of study setting, ethnicity, age, and socioeconomic status was documented within the evidence cited in National Institute for Health and Care Excellence (NICE) NG73 (2017) Endometriosis diagnosis and management. Included were 44 studies with 43 sample groups from the chapters: 'Signs and Symptoms', 'Information and Support', and 'Diagnosis'. Data were extracted independently by two researchers. RESULTS: No studies were conducted in primary care. The evidence cited in 'Signs and Symptoms' and 'Diagnosis' was exclusively from tertiary care. 'Information and Support' included 9/16 studies from tertiary care, and 7/16 recruited through community and advocacy networks. For ethnicity, 4/44 studies formally reported participant ethnicity (three from 'Information and Support', one from 'Diagnosis'). In these, 93%, 90%, 60%, and 75% of participants were white/Caucasian (mean 79.5%). For age, 3/44 studies included adolescents. Many studies excluded women who were deemed outside reproductive age. For socioeconomic status, eight studies, all from 'Information and Support', reported socioeconomic status in some form. The majority of participants were tertiary educated. CONCLUSION: These results highlight the missing demographics within evidence cited in a national guideline for endometriosis. These align with documented inequities in diagnosis of endometriosis and warrant urgent attention.

Identification of diagnostic markers related to inflammatory response and cellular senescence in endometriosis using machine learning and in vitro experiment.

OBJECTIVE: To understand the association between chronic inflammation, cellular senescence, and immunological infiltration in endometriosis. METHODS: Datasets from GEO comprising 108 endometriosis and 97 healthy human samples and the human endometrial stromal cell. Differentially expressed genes were identified using Limma and WGCNA. Inflammatory response-related subtypes were constructed using consensus clustering analysis. The CIBERSORT algorithm and correlation analyses assessed immune cell infiltration. LASSO, SVM-RFE, and RF identified diagnostic genes. Functional enrichment analysis and multifactor regulatory networks established functional effects. Nomograms, internal and external validations, and in vitro experiments validated the diagnostic genes. RESULTS: Inflammatory response subtypes were highly correlated with the immune activities of B and NK cells. Sixteen genes were associated with inflammatory response and cellular senescence and six diagnostic genes (NLK, RAD51, TIMELESS, TBX3, MET, and BTG3) were identified. The six diagnostic gene models had an area under the curve of 0.828 and their expression was significantly downregulated in endometriosis samples. Low expression of NLK and BTG3 promoted the proliferation, migration, and invasion of endometriotic cells. CONCLUSIONS: Inflammatory response subtypes were successfully constructed for endometriosis. Six diagnostic genes related to inflammatory response and cellular senescence were identified and validated. Our study provides novel insights for inflammatory response in endometriosis and markers for endometriosis diagnosis and treatment.

[Endometriosis-related recurrent unilateral hemorrhagic pleural effusion: a case report].

Hemorrhagic pleural effusion (PE) is common in clinical practice. According to the guidelines, the etiological diagnosis of PE should focus on the identification of common diseases. In most cases, the etiology of PE can be determined by clinical history, physical examination, laboratory and imaging examinations, and pleural biopsy or video-assisted thoracic surgery (VAST). We reported a rare case of a 32-year-old woman with recurrent unilateral hemorrhagic pleural effusion (highly correlated with menstrual cycle) and chest pain that was diagnosed as thoracic endometriosis syndrome (TES) by pathological biopsy and immunohistochemistry. Later she underwent surgery combined with hormone therapy. During the follow-up, the right PE decreased, and she had no chest pain. Therefore, women of reproductive age with regular unilateral bloody pleural effusions should be alert to TES.

Demographic Correlates of Endometriosis Diagnosis Among United States Women Aged 15-50.

OBJECTIVE: To compare demographic characteristics of women with and without a diagnosis of endometriosis. DESIGN: Data were collected from the National Survey of Family Growth-a publicly available survey designed and administered by the Centers for Disease Control, which uses a nationally-representative sample of the United States population. Univariate data were reported as survey-weighted percentages and means and were analyzed using chi-square, t tests, and logistic regression. Analyses accounted for complex survey design. SETTING: United States. PARTICIPANTS: Interviews were conducted with 6141 female respondents, aged 15 to 50, between 2017 and 2019. INTERVENTIONS: Data were collected through in-person interviews. RESULTS: Nationally, 5.7% reported a diagnosis of endometriosis (95% CI 4.6-6.9%). Those with endometriosis were older, with a mean age of 39 (95% CI 38.1-39.9), compared to 31.7 (95% CI 31.2-32.2) among those without (p <.0005). Endometriosis diagnosis was significantly associated with race. Compared to non-Hispanic White women, Hispanic women had an adjusted odds ratio (aOR) of 0.37 (95% CI 0.21-0.65) for diagnosis of endometriosis, and non-Hispanic Black women had an aOR of 0.54 (95% CI 0.35-0.84). We also observed a difference in diagnosis by health insurance: compared to those with private insurance or Medi-Gap coverage, those with Medicare or military insurance had an aOR for endometriosis diagnosis of 2.49 (95% CI 1.36-4.55). Finally, compared to those with less than a high school education, those who had completed high school or greater had an aOR for endometriosis diagnosis of 2.84 (95% CI 1.15-6.99). CONCLUSION: These disparities in endometriosis diagnosis suggest that intersecting barriers may preclude certain groups from accessing timely endometriosis diagnosis and management. Further studies are warranted to explore these hypothesis-generating data and to identify and address specific barriers to equitable endometriosis diagnosis and management.

FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data-Study protocol of a multicenter trial.

INTRODUCTION: Endometriosis is a chronic disease that affects up to 190 million women and those assigned female at birth and remains unresolved mainly in terms of etiology and optimal therapy. It is defined by the presence of endometrium-like tissue outside the uterine cavity and is commonly associated with chronic pelvic pain, infertility, and decreased quality of life. Despite the availability of various screening methods (e.g., biomarkers, genomic analysis, imaging techniques) intended to replace the need for invasive surgery, the time to diagnosis remains in the range of 4 to 11 years. AIMS: This study aims to create a large prospective data bank using the Lucy mobile health application (Lucy app) and analyze patient profiles and structured clinical data. In addition, we will investigate the association of removed or restricted dietary components with quality of life, pain, and central pain sensitization. METHODS: A baseline and a longitudinal questionnaire in the Lucy app collects real-world, self-reported information on symptoms of endometriosis, socio-demographics, mental and physical health, economic factors, nutritional, and other lifestyle factors. 5,000 women with confirmed endometriosis and 5,000 women without diagnosed endometriosis in a control group will be enrolled and followed up for one year. With this information, any connections between recorded symptoms and endometriosis will be analyzed using machine learning. CONCLUSIONS: We aim to develop a phenotypic description of women with endometriosis by linking the collected data with existing registry-based information on endometriosis diagnosis, healthcare utilization, and big data approach. This may help to achieve earlier detection of endometriosis with pelvic pain and significantly reduce the current diagnostic delay. Additionally, we may identify dietary components that worsen the quality of life and pain in women with endometriosis, upon which we can create real-world data-based nutritional recommendations.

Discriminative diagnosis of ovarian endometriosis cysts and benign mucinous cystadenomas based on the ConvNeXt algorithm.

PURPOSE: The objective of this study was to develop a deep learning model, using the ConvNeXt algorithm, that can effectively differentiate between ovarian endometriosis cysts (OEC) and benign mucinous cystadenomas (MC) by analyzing ultrasound images. The performance of the model in the diagnostic differentiation of these two conditions was also evaluated. METHODS: A retrospective analysis was conducted on OEC and MC patients who had sought medical attention at the Fourth Affiliated Hospital of Harbin Medical University between August 2018 and May 2023. The diagnosis was established based on postoperative pathology or the characteristics of aspirated fluid guided by ultrasound, serving as the gold standard. Ultrasound images were collected and subjected to screening and preprocessing procedures. The data set was randomly divided into training, validation, and testing sets in a ratio of 5:3:2. Transfer learning was utilized to determine the initial weights of the ConvNeXt deep learning algorithm, which were further adjusted by retraining the algorithm using the training and validation ultrasound images to establish a new deep learning model. The weights that yielded the highest accuracy were selected to evaluate the diagnostic performance of the model using the validation set. Receiver operating characteristic (ROC) curves were generated, and the area under the curve (AUC) was calculated. Additionally, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, and odds ratio were calculated. Decision curve analysis (DCA) curves were plotted. RESULTS: The study included 786 ultrasound images from 184 patients diagnosed with either OEC or MC. The deep learning model achieved an AUC of 0.90 (95 % CI: 0.85-0.95) in accurately distinguishing between the two conditions, with a sensitivity of 90 % (95 % CI: 84 %-95 %), specificity of 90 % (95 % CI: 77 %-97 %), a positive predictive value of 96 % (95 % CI: 91 %-99 %), a negative predictive value of 77 % (95 % CI: 63 %-88 %), a positive likelihood ratio of 9.27 (95 % CI: 3.65-23.56), and a negative likelihood ratio of 0.11 (95 % CI: 0.06-0.19). The DCA curve demonstrated the practical clinical utility of the model. CONCLUSIONS: The deep learning model developed using the ConvNeXt algorithm exhibits high accuracy (90 %) in distinguishing between OEC and MC. This model demonstrates excellent diagnostic performance and clinical utility, providing a novel approach for the clinical differentiation of these two conditions.

[Implementation of fluorescent imaging technology in endovideosurgical treatment of colorectal endometriosis]. / Vnedrenie tekhnologii fluorestsentnoi vizualizatsii v endovideokhirurgicheskoe lechenie kolorektal'nogo endometrioza.

The article includes a clinical case of a patient with deep infiltrating endometriosis with rectum involving and using intraoperative controlled fluorescence in order to increase the radicality of surgery and improve the prognosis of the disease. Surgical excision of the endometrioitic nodules is the only effective way of treating patients with colorectal endometriosis in terms of relieving pain, improving quality of life and restoring reproductive function. The possible types of surgical interventions can be performed: endometrioid lesion shaving, discoid or circular intestinal resection with anastomosis. The extent of the operation is determined by the following morphological parameters: the number of endometrioid infiltrates of the intestinal wall, the size of each of them, the degree of involvement of the intestine circumference, the depth of the intestinal wall lesion, the distance from the level of anus to the endometriotic nodule and lymphatic dissemination.

[Adolescent female reproductive system dysplasia: a clinical study of 356 cases].

Objective: To explore the age of onset and consultation, the main clinical manifestations, common types of combined malformations, the relationship of endometriosis, surgical prognosis and different types of proportion of adolescent female reproductive system dysplasia. Methods: The medical records of 356 patients (aged 10-19) with female reproductive system dysplasia in Women's Hospital, School of Medicine, Zhejiang University from January 2003 to August 2018 were collected and retrospectively analyzed. Results: (1) Among the 356 adolescent dysplasia patients, uterine dysplasia (23.6%, 84/356), oblique vaginal septum syndrome (OVSS; 22.5%, 80/356) and vaginal dysplasia (21.6%, 77/356) were the most frequent ones, followed by multi-sectional dysplasia (16.0%, 57/356), other types of developmental abnormalities like external genitaliaand urogenital fistula (13.5%, 48/356) and Mayer-Rokitansky-Küster-Hauser syndrome (MRKH syndrome; 2.8%, 10/356). (2) There were significant differences between the median age of onset and the age of consultation of patients with OVSS and other types of abnormalities except hymen atresia (both P<0.05). In contrast, there were no significant differences between the age of onset and the age of consultation of the patients of uterine dysplasia, vaginal dysplasia, hymen atresia, MRKH syndrome and multi-sectional dysplasia (all P>0.05). (3) The clinical manifestations were lack of specificity, and mainly abnormal finding was lower abdominal pain. (4) After admission, the majority of patients underwent comprehensive cardiopulmonary examination (71.3%, 254/356) and urinary system examination (63.5%, 226/356). Only 18.3% (65/356) of patients had completed abdominal organ examination, and 5.9% (21/356) skeletal system examination. About other systemic malformations, urological malformations were the most common (27.5%, 98/356), followed by anorectal malformation (0.6%, 2/356), heart malformations (0.3%, 1/356), and spinal malformations (0.3%, 1/356). 46.4% (84/181) of the surgical patients were diagnosed with combined endometriosis. Patients with obstructive genital tract malformations were more likely to combine with endometriosis than non-obstructive ones [50.3% (74/147) vs 29.4% (10/34); P<0.05]. However, there was no significant difference between the severity of endometriosis of those two kinds (P>0.05). (5) Totally 308 patients were followed up successfully with a median of 25.0 years old, and 20 cases were treated again; 12.0% (37/308) of them were suffering from menstrual disorder and 33.1% (102/308) of them with dysmenorrhea. Totally 130 patients had sexually active reported no sexual problems. Conclusions: Uterine dysplasia, OVSS and vaginal dysplasia are the most common syndromes in adolescent female reproductive system dysplasia along with frequent cases of coexisting urinary malformations and increasing risks of endometriosis. Meanwhile, the lack of specificity of clinical manifestations might delay the timely diagnosis and treatment after the onset of symptoms. Nonetheless, most patients could achieve good surgical outcomes.

Identification of urine biomarkers of endometriosis-Protein mass spectrometry.

INTRODUCTION: Endometriosis is a chronic inflammatory disease that leads to a series of pathological reactions. The basis is a changed proinflammatory activated immune system, which results in more pronounced oxidative stress, disturbed function of proteolysis and cell apoptosis. These processes are crucial in the development of the disease because their dysfunctional activities cause the progression of the disease. It is believed that the proteins excreted in the urine interact with each other and promote pathological processes in endometriosis. METHODS: We analyzed the urine proteome of patients and aimed to detect a potential protein biomarker for endometriosis in the urine proteome. We collected urine samples from 16 patients with endometriosis and 16 patients in the control group with functional ovarian cysts. The diagnosis for all patients was confirmed through pathohistological analysis. After the preanalytical preparation of the urine, chromatography and mass spectrometry (LC-MS/MS) used the technology of urine proteome analysis. RESULTS: The main finding was a significantly different concentration of 14 proteins in the urine samples. We recorded a considerably higher concentration of proteins that have a significant role in activating the immune system (SELL), iron metabolism (HAMP) and cell apoptosis (CHGA) in endometriosis compared to controls. Proteins having an antioxidant function (SOD1) and a role in proteolysis of the extracellular matrix (MMP-9) were significantly reduced in endometriosis compared to controls. CONCLUSION: Consistent with the known pathogenesis of endometriosis, the study results complement the pathological responses that occur with disease progression.

Uterine mesothelial cysts mimicking ovarian cysts in a primipara patient with a history of Cesarean section: A case report and review of the literature.

OBJECTIVE: We describe a rare case of uterine mesothelial cysts mimicking ovarian cysts in a primipara patient with a history of Cesarean section. CASE REPORT: A 39-year-old female patient with history of Cesarean section presented with dysmenorrhea. Sonography revealed that a hypoechoic and anechoic multicystic complex, which was located on the right side of the pelvic cavity, had infiltrated the adjacent posterior wall of the uterus, and it was preoperatively misdiagnosed as ovarian cysts with suspected endometrioma. Laparoscopic surgery revealed multiple cystic lesions filled with clear yellow fluid on the posterior uterine wall instead of the adnexa. Laparoscopic uterine cystectomy was performed, and the patient's recovery was uneventful. Pathohistological and immunohistochemical examinations confirmed the diagnosis of uterine mesothelial cysts. CONCLUSION: Uterine mesothelial cysts should be considered in the differential diagnosis of pelvic lesions. Increasing the awareness of this rare disease can contribute to improved evaluation, decision-making, and disease management.

Extracellular vesicles in endometriosis: role and potential.

Endometriosis is a chronic inflammatory gynecological disease, which profoundly jeopardizes women's quality of life and places a significant medical burden on society. The pathogenesis of endometriosis remains unclear, posing major clinical challenges in diagnosis and treatment. There is an urgent demand for the development of innovative non-invasive diagnostic techniques and the identification of therapeutic targets. Extracellular vesicles, recognized for transporting a diverse array of signaling molecules, have garnered extensive attention as a novel mode of intercellular communication. A burgeoning body of research indicates that extracellular vesicles play a pivotal role in the pathogenesis of endometriosis, which may provide possibility and prospect for both diagnosis and treatment. In light of this context, this article focuses on the involvement of extracellular vesicles in the pathogenesis of endometriosis, which deliver information among endometrial stromal cells, macrophages, mesenchymal stem cells, and other cells, and explores their potential applications in the diagnosis and treatment, conducing to the emergence of new strategies for clinical diagnosis and treatment.

Assessing the Utility of artificial intelligence in endometriosis: Promises and pitfalls.

Endometriosis, a chronic condition characterized by the growth of endometrial-like tissue outside of the uterus, poses substantial challenges in terms of diagnosis and treatment. Artificial intelligence (AI) has emerged as a promising tool in the field of medicine, offering opportunities to address the complexities of endometriosis. This review explores the current landscape of endometriosis diagnosis and treatment, highlighting the potential of AI to alleviate some of the associated burdens and underscoring common pitfalls and challenges when employing AI algorithms in this context. Women's health research in endometriosis has suffered from underfunding, leading to limitations in diagnosis, classification, and treatment approaches. The heterogeneity of symptoms in patients with endometriosis has further complicated efforts to address this condition. New, powerful methods of analysis have the potential to uncover previously unidentified patterns in data relating to endometriosis. AI, a collection of algorithms replicating human decision-making in data analysis, has been increasingly adopted in medical research, including endometriosis studies. While AI offers the ability to identify novel patterns in data and analyze large datasets, its effectiveness hinges on data quality and quantity and the expertise of those implementing the algorithms. Current applications of AI in endometriosis range from diagnostic tools for ultrasound imaging to predicting treatment success. These applications show promise in reducing diagnostic delays, healthcare costs, and providing patients with more treatment options, improving their quality of life. AI holds significant potential in advancing the diagnosis and treatment of endometriosis, but it must be applied carefully and transparently to avoid pitfalls and ensure reproducibility. This review calls for increased scrutiny and accountability in AI research. Addressing these challenges can lead to more effective AI-driven solutions for endometriosis and other complex medical conditions.

Saliva-based microRNA diagnostic signature for the superficial peritoneal endometriosis phenotype.

OBJECTIVE: Patients with superficial peritoneal endometriosis (SPE) present with symptoms suggestive of endometriosis but clinical and imaging exams are inconclusive. Consequently, laparoscopy is usually necessary to confirm diagnosis. The present study aimed to evaluate the accuracy of microRNAs (miRNAs) to diagnose patients with SPE from the ENDOmiARN cohort STUDY DESIGN: This prospective study (NCT04728152) included 200 saliva samples obtained between January and June 2021 from women with pelvic pain suggestive of endometriosis. All patients underwent either laparoscopy and/or MRI to confirm the presence of endometriosis. Among the patients with endometriosis, two groups were defined: an SPE phenotype group of patients with peritoneal lesions only, and a non-SPE control group of patients with other endometriosis phenotypes (endometrioma and/or deep endometriosis). Data analysis consisted of two parts: (i) identification of a set of miRNA biomarkers using next-generation sequencing (NGS), and (ii) development of a saliva-based miRNA signature for the SPE phenotype in patients with endometriosis based on a Random Forest (RF) model. RESULTS: Among the 153 patients with confirmed endometriosis, 10.5 % (n = 16) had an SPE phenotype. Of the 2633 known miRNAs, the feature selection method generated a signature of 89 miRNAs of the SPE phenotype. After validation, the best model, representing the most accurate signature had a 100 % sensitivity, specificity, and AUC. CONCLUSION: This signature could constitute a new diagnostic strategy to detect the SPE phenotype based on a simple biological test and render diagnostic laparoscopy obsolete. PRéCIS: We generated a saliva-based signature to identify patients with superficial peritoneal endometriosis which is the most challenging form of endometriosis to diagnose and which is often either misdiagnosed or requires invasive laparoscopy.

Determinants of Conception and Adverse Pregnancy Outcomes in Women with Endometriosis: A Longitudinal Study.

Endometriosis, affecting approximately 10% of reproductive-aged women globally, poses significant challenges, including chronic pelvic pain, dysmenorrhea, and infertility. In low- and middle-income countries like India, accessibility to affordable infertility care remains a concern. This multicenter prospective cohort study, conducted across six tertiary care hospitals in India from 2017 to 2022, aims to explore the natural progression of conception and pregnancy outcomes in women with endometriosis. Of the 257 participants, 19.1% conceived during the study, revealing significant geographic and income-based variations (p < 0.001, p = 0.01). Dysmenorrhea (p < 0.001) and dyspareunia (p=0.027) were correlated with conception, while no such associations were found with chronic pelvic pain or menstrual factors. Lesion type, number, and severity showed no conclusive link with conception. Natural conception occurred in 70% of cases, with an average post-surgery conception time of 282.1 days. Live birth rate was 85.7%, while complications included placenta previa (16.4%), preeclampsia (4.1%), and preterm births (4.1%). This study, one of the first in India on endometriosis-related fertility progression, emphasizes the need for comprehensive understanding and management of conception and pregnancy outcomes. Considering India's substantial endometriosis burden, the study recommends prioritizing larger multicenter investigations for a better understanding and effective strategies for infertility management.

Inguinal endometriosis: a case series and review of the literature.

BACKGROUND: Inguinal endometriosis is one of the most common forms of endometriosis. The present study introduces 8 cases of inguinal endometriosis and discusses probable theories of inguinal endometriosis by reviewing the literature. CASE PRESENTATION: 8 Iranian cases of inguinal endometriosis with a mean age of 36 years were presented. Catamenial groin pain and swelling were the most common complications. Also, patients usually had accompanying symptoms such as pelvic pain and dysmenorrhea. One-half of patients had a history of previous abdominal surgery. Ultrasound was diagnostic in 4 patients (50%), and magnetic resonance imaging was used in two patients (25%). Among 6 patients who underwent hormonal therapy, 4 experienced an endometriosis size increase. Inguinal endometriosis was right-sided in 87.5% of patients, and among 4 patients who underwent surgery, 75% had proximal site involvement of the round ligament. CONCLUSION: According to the rarity of inguinal endometriosis, it is more likely to be a misdiagnosis with other inguinal disorders such as inguinal hernia. Inguinal endometriosis should be considered in patients who undergo inguinal herniorrhaphy, with suspected findings such as thickening of the hernia sac wall, bloody fluid inside the sac, or thickening of the extraperitoneal round ligament during the surgery.