’Shear-wave elastografi bulgularının meme kanseri moleküler alt tipleri ile ilişkisi ve diğer radyolojik görüntüleme teknikleri ile karşılaştırılması

Author:

ASLAN Özge1ORCID,OKTAY Ayşe Nur1ORCID

Affiliation:

1. EGE UNIVERSITY, EGE FACULTY OF MEDICINE

Abstract

Purpose: We aimed to evaluate the shear-wave elastography (SWE) findings of breast cancer and to compare their differences with other imaging techniques and to determine the rela-tionship between molecular subtypes. Methods: Radiological findings and histopathology results of patients who underwent biopsy due to breast mass and diagnosed as malignant were evaluated retrospectively. SWE findings, ultrasonography (US), mammography and magnetic resonance imaging (MRI) findings were evaluated. The histo-pathology results of the tru-cut biopsy performed under the guidance of US-SWE were analyzed. The findings of SWE and other radiological techniques were compared statistically and relationship with molecular subtypes was evaluated. Results: We had 51 patients with a median age of 58 years. In SWE, the mean tumor size was 20 mm, and the tumor elasticity was 105 kPa. Statistically signi-ficant correlation was found between the tumor size differences measured by B mode US-SWE and the tumor elasticity value. No correlation was found between SWE findings and molecular subtypes. SWE had significantly high positive correlation with mamography and MRI in terms of lesion size, with US very high positive correlation and with ER positivity weak negative correlation. Conclusion: In addition to conventional radiological imaging techniques the use of SWE provides useful insight to evaluation of breast cancer.

Publisher

Dokuz Eylul Universitesi Tip Fakultesi Dergisi

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