Breast cancers initially detected by hand-held ultrasound: detection performance of radiologists using automated breast ultrasound data

Author:

Chang Jung Min1,Moon Woo Kyung1,Cho Nariya1,Park Jeong Seon2,Kim Seung Ja3

Affiliation:

1. Department of Radiology and Clinical Research Institute, Seoul National University Hospital and the Institute of Radiation Medicine, Seoul National University Medical Research Center

2. Department of Radiology, Hanyang University College of Medicine, Hanyang University Hospital

3. Department of Radiology, Seoul National University Boramea Hospital, Korea

Abstract

Background Ultrasonography (US) has been used as an important adjunct to mammography (MG), and automated breast US (ABUS) scanners were originally designed to effectively examine the breast in its entirety. Purpose To retrospectively assess the performance of radiologists in the detection of breast cancers, initially detected by hand-held ultrasound (HHUS), using 3D breast volume data obtained from a commercial ABUS system. Material and Methods Bilateral whole breast US was performed using ABUS in 61 consecutive women who were scheduled to undergo US-guided needle biopsy due to suspicious breast masses detected during screening HHUS. Fourteen cancers in 13 women and 48 normal breasts of 48 women with benign disease in the contralateral breast were selected. Three radiologists who had not performed the HHUS examinations independently reviewed the 3D ABUS data for any lesions that required recall for further evaluation. Sensitivities and false-positive rates were calculated. Results The sensitivities of the three readers for cancer detection were 78.6% (11/14), 78.6%, and 57.1% (8/14), respectively, with false-positive rates of 20.8% (10/48), 12.5% (6/48) and 8.3% (4/48). Seven cancers were detected by all three readers, four cancers by two readers, and one cancer by one reader. Two invasive cancers were not detected by any reader. Conclusion Of HHUS-detected cancers, only 57.1–78.6% were identified with ABUS. A substantial level of experience and training is necessary to improve cancer detection by ABUS.

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,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