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

被引:44
作者
Chang, Jung Min [1 ,2 ,3 ]
Moon, Woo Kyung [1 ,2 ,3 ]
Cho, Nariya [1 ,2 ,3 ]
Park, Jeong Seon [4 ]
Kim, Seung Ja [5 ]
机构
[1] Seoul Natl Univ Hosp, Dept Radiol, Seoul, South Korea
[2] Seoul Natl Univ Hosp, Clin Res Inst, Seoul, South Korea
[3] Seoul Natl Univ, Med Res Ctr, Inst Radiat Med, Seoul 151, South Korea
[4] Hanyang Univ, Coll Med, Hanyang Univ Hosp, Dept Radiol, Seoul, South Korea
[5] Seoul Natl Univ, Boramea Hosp, Dept Radiol, Seoul 151, South Korea
关键词
Automated breast US; hand-held ultrasound; screen US; detection performance; DIFFERENTIATING BENIGN; PHYSICAL-EXAMINATION; MASSES; US; MAMMOGRAPHY; SONOGRAPHY; CARCINOMA;
D O I
10.1258/ar.2010.100179
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:8 / 14
页数:7
相关论文
共 50 条
[21]   Performance of hand-held whole-breast ultrasound based on BI-RADS in women with mammographically negative dense breast [J].
Ji Hyun Youk ;
Eun-Kyung Kim ;
Min Jung Kim ;
Jin Young Kwak ;
Eun Ju Son .
European Radiology, 2011, 21 :667-675
[22]   Improved cancer detection in automated breast ultrasound by radiologists using Computer Aided Detection [J].
van Zelst, J. C. M. ;
Tan, T. ;
Platel, B. ;
de Jong, M. ;
Steenbakkers, A. ;
Mourits, M. ;
Grivegnee, A. ;
Borelli, C. ;
Karssemeijer, N. ;
Mann, R. M. .
EUROPEAN JOURNAL OF RADIOLOGY, 2017, 89 :54-59
[23]   Diagnostic value of an automated breast volume scanner compared with a hand-held ultrasound: a meta-analysis [J].
Zhang, Xiaohui ;
Chen, Juan ;
Zhou, Yidong ;
Mao, Feng ;
Lin, Yan ;
Shen, Songjie ;
Sun, Qiang ;
Ouyang, Zhaolian .
GLAND SURGERY, 2019, 8 (06) :698-+
[24]   Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts [J].
Kelly, Kevin M. ;
Dean, Judy ;
Comulada, W. Scott ;
Lee, Sung-Jae .
EUROPEAN RADIOLOGY, 2010, 20 (03) :734-742
[25]   Radiologists' Performance for Detecting Lesions and the Interobserver Variability of Automated Whole Breast Ultrasound [J].
Kim, Sung Hun ;
Kang, Bong Joo ;
Choi, Byung Gil ;
Choi, Jae Jung ;
Lee, Ji Hye ;
Song, Byung Joo ;
Choe, Byung Joo ;
Park, Sarah ;
Kim, Hyunbin .
KOREAN JOURNAL OF RADIOLOGY, 2013, 14 (02) :154-163
[26]   Characteristics of breast cancers detected by ultrasound screening in women with negative mammograms [J].
Bae, Min Sun ;
Han, Wonshik ;
Koo, Hye Ryoung ;
Cho, Nariya ;
Chang, Jung Min ;
Yi, Ann ;
Park, In-Ae ;
Noh, Dong-Young ;
Choi, Woo Suk ;
Moon, Woo Kyung .
CANCER SCIENCE, 2011, 102 (10) :1862-1867
[27]   Automated Ultrasound of the Breast for Diagnosis: Interobserver Agreement on Lesion Detection and Characterization [J].
Shin, Hee Jung ;
Kim, Hak Hee ;
Cha, Joo Hee ;
Park, Ju Hyun ;
Lee, Kyoung Eun ;
Kim, Jeoung Hyun .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2011, 197 (03) :747-754
[28]   Tumor detection in automated breast ultrasound images using quantitative tissue clustering [J].
Moon, Woo Kyung ;
Lo, Chung-Ming ;
Chen, Rong-Tai ;
Shen, Yi-Wei ;
Chang, Jung Min ;
Huang, Chiun-Sheng ;
Chen, Jeon-Hor ;
Hsu, Wei-Wen ;
Chang, Ruey-Feng .
MEDICAL PHYSICS, 2014, 41 (04)
[29]   Automated Whole-Breast Ultrasound: Advancing the Performance of Breast Cancer Screening [J].
Kelly, Kevin M. ;
Richwald, Gary A. .
SEMINARS IN ULTRASOUND CT AND MRI, 2011, 32 (04) :273-280
[30]   Comparison of Cancers Detected by Screening Breast Ultrasound and Digital Breast Tomosynthesis [J].
Destounis, Stamatia ;
Arieno, Andrea ;
Santacroce, Amanda .
ACADEMIC RADIOLOGY, 2022, 29 (03) :339-347