How much does adding supervised group and independent individual exercise including pelvic floor muscle training (PFMT) to multidisciplinary pain management affect pelvic and genital pain in women with endometriosis? How …
Endometriosis affects approximately 10% of women of reproductive age; this prevalence may be underestimated, mostly in developing countries, including Mexican and Hispanic populations, due to socioeconomic barriers and limited access …
Nucleus accumbens-associated protein 1 (NAC1), a cancer-related transcriptional regulator, is overexpressed in several malignancies, including ovarian cancer. However, its role in ovarian carcinogenesis remains unclear. We aimed to investigate whether …
Micronutrients are fundamental in maintaining the general health of a woman and play a pivotal role in reproductive health, with heightened importance during pregnancy and lactation. Deficiencies in vitamins and …
Endosalpingiosis is a rare, benign condition characterized by ectopic cystic glands lined with ciliated cuboidal epithelium, histologically resembling the fallopian tube. Its etiology remains uncertain but is hypothesized to result …
People with endometriosis report consuming cannabis to manage their endometriosis symptoms, however, its efficacy has not been established in clinical studies. This study aimed to determine the feasibility, acceptability, and …
Aim: The aim of the study was to synthesize validated patient-reported outcome measures (PROMs) for assessing health-related quality of life (HRQoL) in women with endometriosis and to outline their clinical …
Endometriosis-associated pain has debilitating effects on the quality of life of patients. Despite its high prevalence in reproductive-aged women, the pathophysiology is still unknown, impeding the development of targeted treatment …
Endometriosis is a chronic gynecologic disease of reproductive-age women, causing menstrual pain and infertility. Endocrine and inflammatory mechanisms drive its development, with estrogen/progesterone imbalance contributing to extrauterine implantation and persistence …
Accurate diagnosis of pathology from ultrasound images is reliant upon images of a suitable diagnostic quality being acquired. This study aimed to create a novel machine learning model to automatically …