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This study investigates the use of intraoperative transvaginal (IOTVUS) and/or endorectal ultrasound (IOERUS) in the surgical treatment of bowel deep infiltrating endometriosis (DIE).
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Bowel DIE is a severe form of endometriosis that often infiltrates the rectum and the sigmoid colon, requiring precise surgical techniques to achieve complete excision while minimizing unnecessary resections of healthy tissues and organs. Current preoperative imaging techniques, such as transvaginal ultrasound and magnetic resonance imaging, are often limited in their ability to assess lesion depth and extent in cases of severe pelvic anatomical distortion. Intraoperative ultrasound offers a real-time evaluation after rectal mobilization, allowing for a more accurate assessment of lesion location, depth, and bowel wall infiltration. The primary objectives are to evaluate the feasibility and accuracy of intraoperative ultrasound in detecting rectal and RSJ DIE nodules and to guide surgical decision-making. Secondary objectives include determining the impact of these techniques on surgical outcomes, postoperative pain management, and quality of life. The goal is to enhance surgical decision-making by accurately assessing lesion depth and location, potentially reducing unnecessary colorectal resections or avoiding inadvertent retention of endometrial nodules. Participants will complete health and pain questionnaires preoperatively and at 3, 6, and 12 months postoperatively, evaluating dysmenorrhea, dyspareunia, dyschezia, and quality of life using validated tools. The study will also document intraoperative findings, surgical decisions, complications, and postoperative outcomes. By combining IOTVUS and IOERUS with existing surgical approaches, this study seeks to establish these techniques as standard tools for improving surgical precision in bowel DIE cases. Results could provide valuable insights for tailoring interventions to patient-specific disease presentations, enhancing long-term management strategies.
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200 participants in 1 patient group
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Ignacio Rodríguez, MSc; Yannick Hurni, MD
Data sourced from clinicaltrials.gov
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