Is shear wave elastography relevant in the diagnosis of polycystic ovarian syndrome?

Author:

Ertekin ErsenORCID,Turan Ozgür Deniz,Tuncyurek OzumORCID

Abstract

Aim: The aim of this study was to determine the contribution of Shear Wave Elastography (SWE) to the diagnosis of polycystic ovarian syndrome (PCOS).Material and methods: Thirty-seven patients with PCOS diagnosis criteria were included in the study. Sixteen volunteer patients without hormonal disturbances and with normal menstrual cycles were evaluated as the control group. Gray scale ultrasonography (US) and SWE measurements in both ovaries were performed by a single radiologist who was blinded to the clinical and laboratory results.Results: The SWE measurements in PCOS group were 8.4±2.0 kPafor the right ovary and 9.4±3.9 kPa for the left ovary and in the control group 7.8±4.1 for the right ovary and 8.6±2.5 kPa for the left ovary. There was no statistically significant difference between the PCOS and the control group according to the SWE results (for right ovary p=0.356, for left ovary p=0.258, and total ovary p=0.293).Conclusions: The ovarian morphology isstill the most reliable imaging finding in the diagnosis of PCOS, although it is controversial especially among adolescents. Although the diagnostic efficacy of SWE is demonstrated in a variety of soft tissue lesions, we did not find any significant contribution of SWE to the diagnosis PCOS. Therefore, the promising value of elastography is yet to be defined for the diagnosis of PCOS.

Publisher

SRUMB - Romanian Society for Ultrasonography in Medicine and Biology

Subject

Acoustics and Ultrasonics,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3