Chronic pelvic pain (CPP) is a heterogeneous condition in which visceral, musculoskeletal, neuropathic, and pain-processing contributors often overlap. Pelvic floor ultrasound can depict morphology and movement, but its CPP-specific evidence …
Endometriosis may contribute to the onset of pelvic floor dysfunction (PFD) but data on urologic and bowel symptoms in endometriosis patients are scant. The aim of this study is to …
To estimate prevalence of pelvic floor tension myalgia and pelvic floor myalgia among individuals with endometriosis. The secondary outcome is to determine specific symptoms suggestive of pelvic floor tension myalgia/pelvic …
Pelvic and genital pain is a common symptom among women with endometriosis and may negatively affect sexual functioning. Pelvic floor muscle training (PFMT) may improve sexual functioning, but whether this …
Background: Endometriosis is a chronic inflammatory disease affecting approximately 10% of women of reproductive age and is commonly associated with pelvic pain and infertility. Increasing evidence indicates that lower urinary …
This study is aimed at describing the morphometry of the pelvic floor for a large population of women with persistent pelvic pain (PPP) compared with those without pain.
This paper provides a systematic review of the current applications of diffusion tensor imaging (DTI) in the imaging of pelvic floor-related anatomical structures and the assessment of microscopic pathological changes.
To retrospectively evaluate the impact of ENDO-GYM Program, which combined Yoga practice and pelvic floor physiotherapy (PFP), on women with ultrasound and/or post-operative histological diagnosis of endometriosis pain resistant to …
Sexual pain disorders impair intimacy and quality of life. While clinicians routinely recommend sexual position modifications, evidence is scattered in gynecology, urology, physiotherapy, sex therapy, and biomechanics.
Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine learning-based clinical model to predict poor pain-related quality …