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Baylor University Medical Center Proceedings
The peer-reviewed journal of Baylor Scott & White Health
Volume 37, 2024 - Issue 4
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Is high-intensity focused ultrasound a magical solution to endometriosis? A systematic review

, DGOORCID Icon, , MSc, , MBBCh & , MSc
Pages 625-637 | Received 07 Feb 2024, Accepted 23 Apr 2024, Published online: 04 Jun 2024
 

Abstract

Background

Endometriosis presents a significant challenge in gynecological endocrinology, affecting approximately 1 in 10 women of reproductive age. Abdominal wall endometriosis (AWE) and rectosigmoid deep infiltrating endometriosis (DIE) pose unique clinical complexities. High-intensity focused ultrasound (HIFU) has emerged as a novel alternative for treating these conditions, offering a noninvasive option with potential therapeutic benefits.

Methods

A systematic review was conducted following PRISMA guidelines to investigate the safety and efficacy of HIFU therapy for AWE and rectosigmoid DIE. The literature search encompassed databases from inception to January 20, 2024. Eligible studies included observational studies, case reports, and clinical trials evaluating HIFU treatment for endometriosis. Data extraction and risk of bias assessment were performed following established protocols.

Results

Fourteen studies were included, comprising 330 patients with AWE and 28 patients with rectosigmoid DIE. HIFU treatment demonstrated significant efficacy, with many patients experiencing complete remission, and clinical effectiveness. Reductions in lesion volume posttreatment were consistent across studies. However, safety concerns were noted, including pain at the treatment site, hematuria, and skin burns. Adverse effects underscored the importance of careful patient selection and monitoring during HIFU therapy.

Conclusion

HIFU therapy shows promise as a noninvasive approach for managing AWE and rectosigmoid DIE. While efficacy outcomes are encouraging, safety considerations warrant attention. Further research, particularly randomized controlled trials with larger sample sizes, is needed to validate findings and optimize treatment protocols.

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