Endometriosis can impair natural reproduction through multiple mechanisms, including distortion of pelvic anatomy and chronic peritoneal inflammation. On this basis, surgical treatment might be reasonably expected to benefit. However, clinical …
Endometriosis is a disease characterized by fibrosis and adhesions. There are still no treatment methods targeting these conditions. One reason for this is the lack of useful animal models to …
Female infertility is a complex health concern with a multitude of risk factors and aetiologies. This current narrative review was planned to highlight the various significant contributors to female infertility, …
Objectives: The peritoneal cavity is a cavity outside the bloodstream, with a specific hormonal, immunological and microbiological micro-environment distinct from plasma. The mesothelial cells lining the peritoneal cavity react within …
Endometriosis is a complex, estrogen-dependent disease with limited effective treatments that often focus on symptom management rather than addressing the underlying pathology. Current therapies, such as progestins and GnRH agonists, …
Background/Objectives: Fallopian tube endometriosis is frequently underreported due to its nonspecific presentation, limitations in imaging detection, and the fact that histologic diagnosis often requires the submission of the entire fallopian …
Pelvic adhesions are a common consequence of prior abdominal surgery, endometriosis, malignancy, or infection, often leading to infertility, chronic pelvic pain, and surgical complications. Reliable preoperative prediction of these adhesions …
Spontaneous uterine rupture in an unscarred uterus is a rare but life-threatening obstetric emergency, and endometriosis has increasingly been recognized as a potential risk factor. We report a 33-year-old primigravid …
Advances in cancer therapy, delayed parenthood, and an increasing number of reproductive disorders have intensified the need for the effective preservation of fertility. However, current clinical strategies such as ovarian …
This study is the first to develop and evaluate a machine learning (ML) model for predicting pelvic adhesions based on ultrasound features, utilizing the SHapley Additive Explanations (SHAP) framework for …