Background/Objectives: Endometriosis is a chronic gynecological disorder characterized by ectopic endometrial-like tissue. The symptoms of this disease negatively affect the patient’s quality of life, both physically and mentally. This study aims to identify key factors impacting health-related quality of life in endometriosis patients. Methods: A total of 175 patients from the Endometriosis Centre of the RWTH Aachen University Hospital were assessed using the German version of the EHP-30. The EHP is a patient self-report tool used to measure the wide range of impacts that endometriosis can have on women’s lives (affecting pain levels, leading to feelings of powerlessness and a loss of control, and affecting their emotional well-being, social support, and self-image). Multivariate linear regression and random forest analyses were performed to evaluate predictors of health-related quality of life, focusing on demographic characteristics, pain severity, endometriosis symptoms and planned procedures. Results: Key factors that have a significant negative impact on QoL include higher pain scores, dysuria, and persistent endometriosis. Higher pain scores negatively affect the EHP-30 pain (p < 0.0001), control and powerlessness (p < 0.0001) and emotional well-being (p < 0.01) scores. Dysuria has a negative effect on pain (p < 0.001), control and powerlessness (p < 0.001), emotional well-being (p < 0.05), and social support (p < 0.05). Persistent endometriosis was negatively associated with pain (p < 0.01), control and powerlessness (p < 0.01), and social support. Previous endometriosis surgery has a positive effect on the EHP-30 scores for pain, control and powerlessness, emotional well-being, and self-image (p < 0.05). Conclusions: Our study highlights the multifactorial impact of endometriosis on health-related QoL. Personalized treatments focusing on pain management, emotional support and social interventions are crucial to improve patient outcomes.

Objectives. To detect the anatomical insufficiency of the urethra and to propose perineal ultrasound as a useful, noninvasive tool for the evaluation of incontinence, we compared the anatomical length of the urethra with the urodynamic functional urethral length. We also compared the urethral length between continent and incontinent females.Methods. 149 female patients were enrolled and divided into four groups (stress, urge, or mixed incontinence; control). Sonographically measured urethral length (SUL) and urodynamic functional urethral length (FUL) were analyzed statistically. Standardized and internationally validated incontinence questionnaire ICIQ-SF results were compared between each patient group.Results. Perineal SUL was significantly longer in incontinent compared to continent patients (p<0.0001). Pairwise comparison of each incontinent type (stress, urge, or mixed incontinence) with the control group showed also a significant difference (p<0.05). FUL was significantly shorter in incontinent patients than in the control group (p=0.0112). But pairwise comparison showed only a significant difference for the stress incontinence group compared with the control group (p=0.0084) and not for the urge or mixed incontinent group. No clear correlation between SUL, FUL, and ICIQ-SF score was found.Conclusions. SUL measured by noninvasive perineal ultrasound is a suitable parameter in the assessment of female incontinence, since incontinent women show a significantly elongated urethra as a sign of tissue insufficiency, independent of the type of incontinence.

Purpose.The objective was to evaluate the usefulness of transperineal ultrasound in the assessment of the urethral length and urethral lumen by 3D/4D transperineal sonography to discriminate between female patients with subtypes of urinary incontinence.Methods.A total of 150 female patients underwent an examination because of urinary incontinence. 41 patients were diagnosed with urgency urinary incontinence (OAB), 67 patients were diagnosed with stress urinary incontinence (SUI), and 42 patients were in the control group (CTRL). Three diameters of the urethral lumen (proximal (U1), medial (U2), and distal (U3)) and the urethral length were measured. By the assessment of the urethral lumen, the presence of the urethral funneling was evaluated.Results.We found a significant difference in the urethral length and urethral lumen U2 of OAB and SUI versus CTRL. The urethral length was significantly greater (P<0.05) and the urethral lumen was significantly wider (P<0.05) in the patients with urinary incontinence. The incidence of the urethral funneling was significantly higher (P<0.05) in the study groups with urinary incontinence than in the control group.Conclusions.Our results have shown the urethral changes obtained by ultrasound in patients with urinary incontinence, but they are still insufficient to distinguish between subtypes of urinary incontinence.

Ovarian cancer is the second most fatal gynecological cancer. Early detection, which could be achieved through widespread screening, has not yet had an impact on mortality. The aim of our pilot study was to investigate the expression of miRNAs analyzed by a human miRNA microarray chip in urine and serum of patients with ovarian cancer. We analyzed three serum and three urine samples from healthy donors and five serum and five urine samples from patients with ovarian cancer taken at first diagnosis, before any treatment. We selected the seven miRNAs with the highest expression fold change in the microarray chip (cancer vs. control) in urine and serum, for validation by qPCR. We were able to validate two of the seven miRNAs in serum. In contrast to these findings, we were able to validate all of the top seven miRNAs identified in urine using qPCR. The top seven miRNAs in urine identified by microarray chip showed significantly greater differences in expression between patients with ovarian cancer and healthy donors compared to serum. Based on our finding, we can suggest that urine as a biomaterial is more suitable than serum for miRNA profiling by microarray chip in the search for new biomarkers in ovarian cancer.

Background: Endometriosis is a chronic gynecological condition marked by ectopic endometrial-like tissue, leading to inflammation, pain, and infertility. Diagnosis is often delayed by up to 10 years. Identifying non-invasive biomarkers could facilitate earlier detection. MicroRNAs, known for their stability in biological fluids and role in disease processes, have emerged as potential diagnostic tools. This pilot study investigated whether serum miRNA profiling can differentiate endometriosis from other causes of chronic pelvic pain. Methods: Serum samples from 52 patients (36 with laparoscopically confirmed endometriosis and 16 controls) treated for chronic pelvic pain at a University Endometriosis Centre were analyzed. High-throughput miRNA sequencing was performed. Feature selection reduced 4285 miRNAs to the 20 most informative MiRNAs. Machine learning models, including logistic regression, decision tree, random forest, and support vector machine, were trained and evaluated. Results: Among the tested machine learning models, support vector machine achieved the best overall performance (accuracy 0.71, precision 0.80), while logistic regression and random forest showed the highest AUC values (0.84 and 0.81, respectively), indicating strong diagnostic potential of serum miRNA profiling. Conclusions: This study demonstrates the feasibility of using serum miRNA profiling combined with machine learning for the non-invasive classification of endometriosis. The identified miRNA signature shows strong diagnostic potential and could contribute to earlier and more accurate detection of the disease.