Endometriosis (EMs) is a chronic inflammatory disease characterized by the presence of endometrial tissue in the non-uterine cavity, resulting in dysmenorrhea, pelvic pain, and infertility. Epidemiologic data have suggested the …
Endometriosis significantly impacts the physical and mental health of women of reproductive age. While some patients can achieve pregnancy through surgery or in vitro fertilization (IVF), many still struggle with …
A successful pregnancy relies on the proper cellular, biochemical, and mechanical functions of the uterus. A comprehensive understanding of nonpregnant and pregnant uterine mechanical properties is key to understanding different …
To investigate the correlation between endometriosis (EMs) severity and placenta accreta spectrum (PAS) risk in the subsequent pregnancy.
Endometriosis is a chronic disease that affects around 10% of reproductive age women worldwide and a common cause of infertility. One of its manifestations is ovarian endometriomas, which are present …
Episiotomy is a perineal incision enlarging the vaginal opening during labor, preventing severe perineal/vaginal/ano-rectal lacerations. We performed a systematic literature review (PRISMA guidelines; Pubmed, Scopus and Web of Science databases) …
Little is known about the role of timing of physical activity in female reproductive disorders. These disorders include polycystic ovary syndrome (PCOS), heavy menstrual bleeding (HMB), endometriosis, infertility, and pregnancy-related …
Endometriosis is a multifaceted gynecological disorder defined by endometrium-like tissue outside the uterine cavity. It is mainly localized in the pelvis and creates a local inflammatory environment responsible for its …
Early pregnancy care involves the screening and identification of women with risk factors for adverse pregnancy outcomes, including stillbirth or preterm birth, to tailor pregnancy care and interventions accordingly. Most …
Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning Frontiers