Acta Scientific Women's Health (ASWH)

Review Article Volume 7 Issue 8

Algorithm for Surgical Management in Colorectal Endometriosis

Juan Carlos Ramirez Mejía1, Karen Daniela Paola Cepeda Forero2*, Roberto Guillén Moreno3, Linda Lucía Cardoso Franco4 and Anwar Medellin Anbueta5

1Advanced Laparoscopist, Gynecology, Obstetrics and Human Reproduction, Fundación Santa Fe de Bogotá, Colombia
2Gynecology, Obstetrics and Human Reproduction, Fundación Santa Fe de Bogotá, Colombia
3Medical Residency in Gynecology and Obstetrics, Universidad de Panamá, Ciudad de Colón, Panamá
4Clinical Care Center for Endometriosis, Fundación Santa Fe de Bogotá, Colombia
5Chief of the Colon and Rectal Surgery Section, Fundación Santa Fe de Bogotá, Colombia

*Corresponding Author: Karen Daniela Paola Cepeda Forero, Gynecology, Obstetrics and Human Reproduction, Fundación Santa Fe de Bogotá, Colombia.

Received: July 09, 2025; Published: July 30, 2025

Abstract

Colorectal endometriosis is a subtype of deep infiltrating endometriosis that affects up to 23% of patients with pelvic endometriosis, commonly involving the rectosigmoid junction. This condition presents significant diagnostic and therapeutic challenges due to its nonspecific gastrointestinal symptoms and frequent overlap with other conditions like irritable bowel syndrome. Although medical treatment may relieve certain symptoms, it remains ineffective in addressing fibrosis and deeply infiltrative lesions, often making surgical management necessary. Current surgical options include rectal shaving, discoid excision, and segmental bowel resection. However, there is no consensus on standardized indications for each technique, and recommendations from expert societies remain limited.

This narrative review critically evaluates existing literature regarding surgical outcomes, postoperative complications, recurrence rates, and quality of life improvements associated with the three main surgical approaches. Rectal shaving, the most conservative technique, demonstrates lower operative time and fewer complications such as rectovaginal fistula and anastomotic leakage. Discoid excision is favored for unifocal lesions affecting a moderate portion of the bowel wall and also shows acceptable complication rates. Segmental resection, although the most radical, is generally reserved for multifocal or larger lesions and is associated with higher morbidity but lower recurrence.

Meta-analyses indicate that conservative techniques are associated with better bowel function, lower rates of voiding dysfunction, and improved quality of life scores compared to radical resection. However, recurrence is more common with shaving compared to segmental resection, particularly in lesions with greater depth or luminal involvement. Preoperative imaging modalities such as MRI and endoscopic ultrasound can improve lesion characterization and help predict the need for more extensive surgery. Despite a growing body of evidence, the overall quality of existing studies remains low, often limited to retrospective observational designs with variable follow-up periods. This underscores the urgent need for prospective, standardized studies that account for lesion size, location, and patient-centered outcomes.

This review proposes a pragmatic algorithm for the surgical management of colorectal endometriosis, integrating imaging findings, lesion characteristics, and patient preferences. The ultimate goal is to personalize surgical strategies to achieve complete excision of disease, reduce symptom burden, minimize complications, and lower recurrence risk—thereby improving both clinical and quality-of-life outcomes in affected women.

Keywords: Endometriosis; Minimally Invasive Surgical Procedures; Colorectal Surgery

References

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Citation

Citation: Karen Daniela Paola Cepeda Forero., et al

. “Algorithm for Surgical Management in Colorectal Endometriosis". Acta Scientific Women's Health 7.8 (2025): 84-91.

Copyright

Copyright: © 2025 Karen Daniela Paola Cepeda Forero., et al

. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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