To demonstrate the step-by-step application of intraluminal indocyanine green (ICG) in endometriosis and adenomyosis surgery, including mucosa-sparing shaving of deep bladder and rectal nodules and excision of superficial tubal endometriosis.
Endometriosis is heterogeneous, and evidence for individualised postoperative management is limited. We assessed whether postoperative hormonal therapy exposure is associated with one-year changes in pain domains after first-time endometriosis surgery …
Surgery is a therapeutic option for patients with deep endometriosis presenting with infertility and/or pain refractory to medical treatment. Major postoperative complications may impair quality of life and delay the …
Endometriosis is a chronic, inflammatory and oestrogen-dependent disease frequently causing infertility. Assisted reproductive technologies (ART) are often required to achieve pregnancy, especially in women with advanced endometriosis. To date, there …
To evaluate the effectiveness of intraoperative proctosigmoidoscopy in patients undergoing bowel endometriosis surgery DESIGN: Retrospective, single-centre observational study.
To systematically evaluate the clinical evidence on intraoperative navigation techniques in endometriosis surgery.
Objective: To analyze multiple aspects of advanced bladder endometriosis surgery, based on the experience of an endometriosis reference center. Methods: This retrospective/prospective study included 80 consecutive patients with deep bladder …
Ureteric injury is a serious complication of gynaecological surgery, particularly in cases involving deep endometriosis. This prospective cohort study assessed the feasibility and safety of intra-ureteric indocyanine green (ICG) for …
Endometriosis is a chronic disease that impacts an estimated 10% of women. It is characterized by endometrial glands and stroma growing outside the uterus. Surgery is a mainstay of diagnosis …
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 …