A multicenter hospital-based diagnosis study of automated breast ultrasound system in detecting breast cancer among Chinese women
查看参考文献31篇
文摘
|
Objective: The automated breast ultrasound system (ABUS) is a potential method for breast cancer detection; however, its diagnostic performance remains unclear. We conducted a hospital-based multicenter diagnostic study to evaluate the clinical performance of the ABUS for breast cancer detection by comparing it to handheld ultrasound (HHUS) and mammography (MG). Methods: Eligible participants underwent HHUS and ABUS testing; women aged 40–69 years additionally underwent MG. Images were interpreted using the Breast Imaging Reporting and Data System (BI-RADS). Women in the BI-RADS categories 1–2 were considered negative. Women classified as BI-RADS 3 underwent magnetic resonance imaging to distinguish true- and false-negative results. Core aspiration or surgical biopsy was performed in women classified as BI-RADS 4–5, followed by a pathological diagnosis. Kappa values and agreement rates were calculated between ABUS, HHUS and MG. Results: A total of 1,973 women were included in the final analysis. Of these, 1,353 (68.6%) and 620 (31.4%) were classified as BI-RADS categories 1–3 and 4–5, respectively. In the older age group, the agreement rate and Kappa value between the ABUS and HHUS were 94.0% and 0.860 (P<0.001), respectively; they were 89.2% and 0.735 (P<0.001) between the ABUS and MG, respectively. Regarding consistency between imaging and pathology results, 78.6% of women classified as BI-RADS 4–5 based on the ABUS were diagnosed with precancerous lesions or cancer; which was 7.2% higher than that of women based on HHUS. For BI-RADS 1–2, the false-negative rates of the ABUS and HHUS were almost identical and were much lower than those of MG. Conclusions: We observed a good diagnostic reliability for the ABUS. Considering its performance for breast cancer detection in women with high-density breasts and its lower operator dependence, the ABUS is a promising option for breast cancer detection in China. |
来源
|
Chinese Journal of Cancer Research
,2018,30(2):231-239 【核心库】
|
DOI
|
10.21147/j.issn.1000-9604.2018.02.06
|
关键词
|
Automated breast ultrasound system
;
breast neoplasms
;
China
|
地址
|
1.
Department of Epidemiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021
2.
Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Guangzhou, 510060
3.
Department of Ultrasound, the First People's Hospital of Hangzhou, Affiliated Hangzhou Hospital of Nanjing Medical University, Hangzhou, 310006
4.
Department of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, 300060
5.
Department of Ultrasound, Xin Hua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092
6.
Department of Cancer Prevention Research, Sun Yat-Sen University Cancer Center, Guangzhou, 510060
7.
Department of Interventional Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021
|
语种
|
英文 |
文献类型
|
研究性论文 |
ISSN
|
1000-9604 |
学科
|
临床医学;肿瘤学 |
基金
|
supported by GE Healthcare
|
文献收藏号
|
CSCD:6249902
|
参考文献 共
31
共2页
|
1.
Ervik M.
Cancer Today,2017
|
CSCD被引
1
次
|
|
|
|
2.
Chen W. Cancer incidence and mortality in China in 2013: an analysis based on urbanization level.
Chin J Cancer Res,2017,29:1-10
|
CSCD被引
107
次
|
|
|
|
3.
Sankaranarayanan R. Cancer survival in Africa, Asia, and Central America:a population-based study.
Lancet Oncol,2010,11:165-173
|
CSCD被引
23
次
|
|
|
|
4.
Li J. A nation-wide multicenter 10-year (1999-2008) retrospective clinical epidemiological study of female breast cancer in China.
BMC Cancer,2011,11:364
|
CSCD被引
59
次
|
|
|
|
5.
Fan L. Breast cancer in China.
Lancet Oncol,2014,15:e279-e289
|
CSCD被引
385
次
|
|
|
|
6.
Nelson H D. Screening for breast cancer:an update for the U.S. Preventive Services Task Force.
Ann Intern Med,2009,151:727-737
|
CSCD被引
22
次
|
|
|
|
7.
Harding C. Breast cancer screening, incidence, and mortality across US counties.
JAMA Intern Med,2015,175:1483-1489
|
CSCD被引
8
次
|
|
|
|
8.
Pace L E. A systematic assessment of benefits and risks to guide breast cancer screening decisions.
JAMA,2014,311:1327-1335
|
CSCD被引
7
次
|
|
|
|
9.
Yaghjyan L. Mammographic breast density and breast cancer risk:interactions of percent density, absolute dense, and non-dense areas with breast cancer risk factors.
Breast Cancer Res Treat,2015,150:181-189
|
CSCD被引
3
次
|
|
|
|
10.
Boyd N F. Mammographic density and the risk and detection of breast cancer.
N Engl J Med,2007,356:227-236
|
CSCD被引
18
次
|
|
|
|
11.
Lee W K. Digital breast tomosynthesis and breast ultrasound:Additional roles in dense breasts with category 0 at conventional digital mammography.
Eur J Radiol,2016,85:291-296
|
CSCD被引
6
次
|
|
|
|
12.
Berg W A. Ultrasound as the primary screening test for breast cancer:Analysis from ACRIN 6666.
J Natl Cancer Inst,2015,108:djv367
|
CSCD被引
21
次
|
|
|
|
13.
Lauby-Secretan B. Breast-cancer screening-viewpoint of the IARC Working Group.
N Engl J Med,2015,372:2353-2358
|
CSCD被引
29
次
|
|
|
|
14.
Chang J M. Automated breast ultrasound system (ABUS):reproducibility of mass localization, size measurement, and characterization on serial examinations.
Acta Radiol,2015,56:1163-1170
|
CSCD被引
6
次
|
|
|
|
15.
Drukker K. Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts.
Med Phys,2014,41:012901
|
CSCD被引
2
次
|
|
|
|
16.
Wilczek B. Adding 3D automated breast ultrasound to mammography screening in women with heterogeneously and extremely dense breasts:Report from a hospitalbased, high-volume, single-center breast cancer screening program.
Eur J Radiol,2016,85:1554-1563
|
CSCD被引
13
次
|
|
|
|
17.
Brem R F. Assessing improvement in detection of breast cancer with threedimensional automated breast US in women with dense breast tissue:the SomoInsight Study.
Radiology,2015,274:663-673
|
CSCD被引
19
次
|
|
|
|
18.
Mehnati P. Comparative efficacy of four imaging instruments for breast cancer screening.
Asian Pac J Cancer Prev,2015,16:6177-6186
|
CSCD被引
2
次
|
|
|
|
19.
D’Orsi C J.
Breast imaging reporting and data systems, BI-RADS:mammography. 4th edition,2003
|
CSCD被引
1
次
|
|
|
|
20.
Miglioretti D L. Radiation-induced breast cancer incidence and mortality from digital mammography screening:A modeling study.
Ann Intern Med,2016,164:205-214
|
CSCD被引
7
次
|
|
|
|
|