Role of ultrasonography in the diagnosis of endometriosis in infertile women: Ovarian endometrioma, deep endometriosis, and superficial endometriosis

IF 3.9 2区 医学 Q1 OBSTETRICS & GYNECOLOGY
Samantha Tan , Mathew Leonardi , Glen Lo , Emmeline Lee
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引用次数: 0

Abstract

Endometriosis is a complex chronic inflammatory process characterised by the presence of endometrial-like glandular tissue outside the uterine cavity, typically within the pelvic structures. This condition affects up to 10–15 % of women and those assigned female at birth, and can result in chronic pelvic pain and in/subfertility. Treatment goals include medical, surgical options and alternative therapies.

Transvaginal ultrasound (TVUS) is the currently recommended first line investigation for endometriosis with magnetic resonance imaging (MRI) reserved for those with equivocal ultrasound findings.

In this paper, we aim to outline the commonly seen sonographic appearances of endometriosis divided into anterior, middle and posterior pelvic compartments. Limitations to ultrasound imaging include high operator dependence and patient factors.

New imaging techniques and research into the utility of artificial intelligence (AI) into the detection of endometriosis is currently underway, with possibility of reduced diagnostic delay and better patient outcomes.

超声波检查在诊断不孕妇女子宫内膜异位症中的作用:卵巢子宫内膜异位症、深部子宫内膜异位症和表层子宫内膜异位症
子宫内膜异位症是一种复杂的慢性炎症过程,其特点是子宫腔外存在子宫内膜样腺体组织,通常位于盆腔结构内。多达 10-15% 的妇女和出生时被指定为女性的妇女会受到这种疾病的影响,并可能导致慢性盆腔疼痛和不育/不孕。经阴道超声检查(TVUS)是目前推荐的子宫内膜异位症一线检查方法,磁共振成像(MRI)仅用于超声检查结果不明确的患者。在本文中,我们旨在概述子宫内膜异位症常见的声像图表现,分为盆腔前区、中区和后区。新的成像技术和人工智能(AI)在子宫内膜异位症检测中的应用研究目前正在进行中,有望减少诊断延误,改善患者预后。
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来源期刊
CiteScore
9.40
自引率
1.80%
发文量
113
审稿时长
54 days
期刊介绍: In practical paperback format, each 200 page topic-based issue of Best Practice & Research Clinical Obstetrics & Gynaecology will provide a comprehensive review of current clinical practice and thinking within the specialties of obstetrics and gynaecology. All chapters take the form of practical, evidence-based reviews that seek to address key clinical issues of diagnosis, treatment and patient management. Each issue follows a problem-orientated approach that focuses on the key questions to be addressed, clearly defining what is known and not known. Management will be described in practical terms so that it can be applied to the individual patient.
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