Journal of Minimally Invasive Gynecology

OBJECTIVE: To explore the role of intraoperative transvaginal ultrasound in surgical planning for deep bowel endometriosis involving the rectum, rectosigmoid junction, and inferior sigmoid colon [1]. SETTING: Pilot study in the form of a d…

OBJECTIVE: To demonstrate a step-by-step technique of intraoperative intraureteric indocyanine green (ICG) administration under cystoscopic guidance to localize intraoperative ureters under near-infrared fluorescence imaging during laparosc…

STUDY OBJECTIVE: Fluorescence imaging using indocyanine green (ICG) has recently gained widespread use in gynecologic surgery and is considered a useful method for facilitation of ureteric identification and dissection during deep endometri…

OBJECTIVE: To demonstrate a reproducible approach to the laparoscopic excision of endometriosis involving the obturator nerve. SETTING: Academic tertiary care hospital. PARTICIPANTS: Case of a 30-year-old woman found on MRI to have a 1.6 …

OBJECTIVE: Endometriosis frequently involves the ovaries. Surgical management of endometriomas traditionally includes cystectomy, electrocoagulation, or ablative techniques. Ethanol sclerotherapy has emerged as a low-cost, time-efficient al…

OBJECTIVE: 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 initiation o…

To demonstrate nerve-guided dissection as an anatomical orientation strategy and the importance of tissue attributes in reconstructing safe dissection planes in deep endometriosis (DE) surgery, with postoperative AI-enhanced anatomical visu…

STUDY OBJECTIVE: To evaluate the neurovascular architecture of deep endometriosis using a standardized butterfly excision approach and to explore its association with postoperative pain outcomes. DESIGN: Prospective exploratory pilot study…

STUDY OBJECTIVE: To develop and validate a non-invasive, blood-based diagnostic assay for endometriosis that performs accurately across menstrual cycle phases and complements existing imaging modalities. DESIGN: Multicenter case-control st…

OBJECTIVE: This systematic review and Bayesian network meta-analysis aimed to evaluate the comparative efficacy and safety of various laparoscopic techniques for endometrioma management, focusing on their impact on fertility outcomes and ov…

STUDY OBJECTIVE: To evaluate the efficacy of oral gonadotropin-releasing hormone (GnRH) antagonists vs placebo for treatment of endometriosis-associated pain and to compare individual antagonists indirectly for dysmenorrhea and non-menstrua…

STUDY OBJECTIVE: To identify predictors for segmental resection in patients with an isolated rectal endometriotic nodule (i.e. involvement of at least the muscular layer in depth and up to 15cm to the anus). DESIGN: Multicenter prospective…

The patient is a 16-year-old with a history of hereditary spherocytosis. At age 12, she underwent a laparoscopic partial converted to total splenectomy for intraoperative bleeding. The spleen was placed in a retrieval bag and removed via mo…

STUDY OBJECTIVE: To evaluate the predictive value of preoperative triple pelvic examination combined with transvaginal sonography (TVS) for posterior pelvic deep endometriosis (DE). DESIGN: A prospective randomized controlled clinical stud…

STUDY OBJECTIVE: To estimate prevalence of pelvic floor tension myalgia and pelvic floor myalgia among individuals with endometriosis. The secondary outcome is to determine specific symptoms suggestive of pelvic floor tension myalgia or pel…

OBJECTIVE: This study aimed to evaluate the prevalence of urinary symptoms in women with parametrial endometriosis before and after surgery. DATA SOURCES: We systematically searched MEDLINE, Web of Science, and Scopus through March 2025, w…

STUDY OBJECTIVE: To compare the quality of AI-generated responses to gynecologic postoperative questions with educational materials published by professional societies. DESIGN: Comparative analysis of published and AI-generated patient edu…