To develop a machine learning method for the automatic recognition of endometriosis lesions during laparoscopic surgery and evaluate its feasibility and performance.
This study developed and assessed the feasibility, acceptability, and exploratory outcomes of a six-session cognitive behavioural therapy (CBT)-based intervention for endometriosis-related persistent fatigue, called Managing Fatigue in Endometriosis (MEND).
Adenomyosis and endometriosis, two common estrogen-dependent benign gynecological disorders usually present with overlapping symptoms, such as pain and infertility. These two conditions often co-exist and are associated with poor reproductive …
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 …
Objectives: To explore the feasibility and surgical outcomes of robot-assisted vaginal natural orifice transluminal endoscopic surgery (RA-vNOTES) for women suffering from gynecologic disease. Methods: We performed an observational study reporting …
Despite growing interest in robot-assisted surgery, the literature remains limited on the application of robotic surgery for complex endometriosis surgery requiring multidisciplinary input for multi-visceral resection. The aim of the …
Objective: To investigate the effectiveness, safety and feasibility of transumbilical laparoendoscopic single-site surgery (TU-LESS) for abdominal wall endometriosis (AWE) lesion resection. Methods: A total of 11 patients who underwent AWE …
Endometriosis is a refractory estrogen-dependent gynecological disease in which ovarian endometriosis(OE) is the most common, and the main cell components are endometrial epithelial cells and stromal cells. However, constructing ectopic …
To develop a translation model of the #Enzian classification into a 4-stage system and to evaluate its performance in a retrospective endometriosis cohort.
Anogenital distance (AGD) is regarded as a potential biomarker for endometriosis, and a measurement on MRI images has been found to be promising. This study aimed to evaluate the measurement …