To demonstrate the feasibility and mid-term outcomes of Robotic single-port single-incision laparoscopic surgery (RSP-SILS) for endometriosis management.
How does the frequency and location of endometriosis lesions observed at laparoscopy vary with patient age?
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 …
Intestinal endometriosis (IE) often presents with dyschezia, gastrointestinal (GI) dysfunction, dyspareunia, and dysmenorrhea. The impact of lesion localization and size on the severity of symptoms remains insufficiently studied, complicating preoperative …
Background: Predicting natural conception following surgical treatment remains a clinical challenge for endometriosis, a chronic inflammatory condition often associated with infertility. This study aimed to determine if simple, low-cost inflammatory …
Hysterectomy is a frequent gynecological surgical technique. With the extensive application of robot-assisted laparoscopic surgery, the feasibility of robot-assisted transvaginal natural orifice translumenal endoscopic surgery (v-NOTES) has been demonstrated in …
Endometriosis is a prevalent condition among women, often leading to infertility. Laparoscopic surgery is widely employed as a therapeutic intervention for endometriosis. This study investigated the prognostic factors influencing the …
To retrospectively evaluate the clinical features, perioperative findings, and long-term outcomes of patients who underwent bowel resection for intestinal endometriosis, and to clarify diagnostic and therapeutic challenges with the goal …
To demonstrate a reproducible approach to the laparoscopic excision of endometriosis involving the obturator nerve.
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 …