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子宫肌瘤的外科治疗。

Surgical management of uterine fibroids.

机构信息

Second Department of Obstetrics and Gynecology, 'Aretaieion' Hospital, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece.

Oxford Endometriosis CaRe Centre, Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.

出版信息

Curr Opin Obstet Gynecol. 2023 Oct 1;35(5):440-445. doi: 10.1097/GCO.0000000000000903. Epub 2023 Aug 2.

Abstract

PURPOSE OF REVIEW

Fibroids are benign pelvic masses and constitute the most common gynaecological condition. They create a significant health and social burden to many women because of heavy menstrual bleeding and fibroid pressure symptoms. Many women will be faced with the dilemma of surgical management to improve their symptoms at some point of their reproductive age. The aim of this article is to identify current surgical management of fibroids describing the technical steps, advantages, disadvantages and risks of each method.

RECENT FINDINGS

The surgical management of fibroids remains challenging, as the overall prevalence, the clinical experience and the patient awareness is increasing because of an upgrade in our sonographic and magnetic resonance diagnostic tools. Unfortunately not every patient is able to benefit from tailor-made surgery that holistically evaluates individual needs including fertility aspirations.

SUMMARY

This article provides the most current synopsis of every available surgical modality for fibroid management. Large prospective multicentre cohort studies are needed to definitely determine the most suitable operation for any individual suffering with fibroids; and perhaps artificial intelligence may offer a valuable tool in the future data analysis.

摘要

目的综述

子宫肌瘤是一种良性盆腔肿块,是最常见的妇科疾病。由于月经过多和子宫肌瘤压迫症状,它们给许多妇女带来了巨大的健康和社会负担。许多妇女在生育期的某个阶段都会面临改善症状的手术治疗困境。本文旨在确定子宫肌瘤的当前手术治疗方法,描述每种方法的技术步骤、优缺点和风险。

最新发现

由于超声和磁共振诊断工具的升级,子宫肌瘤的整体患病率、临床经验和患者意识都在增加,子宫肌瘤的手术治疗仍然具有挑战性。不幸的是,并非每个患者都能受益于综合评估个人需求(包括生育愿望)的定制手术。

总结

本文提供了子宫肌瘤管理中每一种可用手术方式的最新概述。需要进行大型前瞻性多中心队列研究,以确定任何患有子宫肌瘤的个体最适合的手术方法;也许人工智能在未来的数据分析中可能提供有价值的工具。

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