Ultrasound for Breast Cancer Screening in High-Risk Women: Results From a Population-Based Cancer Screening Program in China

被引:19
作者
Wang, Yong [1 ,2 ]
Chen, Hongda [2 ,3 ]
Li, Ni [2 ,3 ]
Ren, Jiansong [2 ,3 ]
Zhang, Kai [2 ,4 ]
Dai, Min [2 ,3 ]
He, Jie [2 ,5 ]
机构
[1] Chinese Acad Med Sci, Natl Clin Res Ctr Canc, Natl Canc Ctr, Dept Ultrasound,Canc Hosp, Beijing, Peoples R China
[2] Peking Union Med Coll, Beijing, Peoples R China
[3] Chinese Acad Med Sci, Natl Clin Res Ctr Canc, Natl Canc Ctr, Off Canc Screening,Canc Hosp, Beijing, Peoples R China
[4] Chinese Acad Med Sci, Dept Canc Prevent, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China
[5] Chinese Acad Med Sci, Dept Thorac Surg, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China
基金
中国博士后科学基金;
关键词
ultrasound; early diagnosis; breast cancer; cancer screening; risk prediction; MAMMOGRAPHY; VALIDATION; DENSITY; PREDICTION; DIAGNOSIS; MODELS; US;
D O I
10.3389/fonc.2019.00286
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Ultrasound is an important modality for breast cancer screening. However, the evidence on the effectiveness of ultrasound screening in population-based cancer screening program in lacking. We aimed to evaluate the diagnostic yield of ultrasound screening in a population-based breast cancer screening in China. Methods: The analyses were conducted in the context of the Cancer Screening Program in Urban China, which recruited 1,938,996 eligible participants aged 40-69 years from 16 provinces in China from 2012 to 2016. We included 72,250 women assessed to be high-risk for breast cancer who undertook ultrasound screening per study protocol. Diagnostic yield according to the Breast Imaging Reporting and Data System (BI-RADS) was evaluated. Risk factors associated with the positive findings of ultrasound were also explored by univariate and multivariable logistic regression analyses. Results: Overall, there were 9,765 (13.51%) women had positive findings of ultrasound screening, including 8,487 (11.75%), 1,210 (1.67%), and 68 (0.09%) of BI-RADS categories of III, IV, and V, respectively. Younger ages, late age of 1st live birth and short-term breast feeding were found to be positively associated with positive findings under ultrasound in multivariate analyses stratified by menopause status and family history of breast cancer. Multivariable prediction models were constructed and yielded only modest prediction accuracy, with AUCs around 0.55. Conclusions: We found the diagnostic yield of ultrasound screening for breast cancer in high-risk population was satisfactory. Prediction models based on environmental risk factors had limited prediction accuracy and need to be improved in the future.
引用
收藏
页数:8
相关论文
共 21 条
[1]  
[Anonymous], ANN INTERN MED
[2]   Breast Cancer Screening and Diagnosis, Version 3.2018 [J].
Bevers, Therese B. ;
Helvie, Mark ;
Bonaccio, Ermelinda ;
Calhoun, Kristine E. ;
Daly, Mary B. ;
Farrar, William B. ;
Garber, Judy E. ;
Gray, Richard ;
Greenberg, Caprice C. ;
Greenup, Rachel ;
Hansen, Nora M. ;
Harris, Randall E. ;
Heerdt, Alexandra S. ;
Helsten, Teresa ;
Hodgkiss, Linda ;
Hoyt, Tamarya L. ;
Huff, John G. ;
Jacobs, Lisa ;
Lehman, Constance Dobbins ;
Monsees, Barbara ;
Niell, Bethany L. ;
Parker, Catherine C. ;
Pearlman, Mark ;
Philpotts, Liane ;
Shepardson, Laura B. ;
Smith, Mary Lou ;
Stein, Matthew ;
Tumyan, Lusine ;
Williams, Cheryl ;
Bergman, Mary Anne ;
Kumar, Rashmi .
JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK, 2018, 16 (11) :1362-1389
[3]   Mammographic density and the risk and detection of breast cancer [J].
Boyd, Norman F. ;
Guo, Helen ;
Martin, Lisa J. ;
Sun, Limei ;
Stone, Jennifer ;
Fishell, Eve ;
Jong, Roberta A. ;
Hislop, Greg ;
Chiarelli, Anna ;
Minkin, Salomon ;
Yaffe, Martin J. .
NEW ENGLAND JOURNAL OF MEDICINE, 2007, 356 (03) :227-236
[4]   Cancer incidence and mortality in China, 2014 [J].
Chen, Wanqing ;
Sun, Kexin ;
Zheng, Rongshou ;
Zeng, Hongmei ;
Zhang, Siwei ;
Xia, Changfa ;
Yang, Zhixun ;
Li, He ;
Zou, Xiaonong ;
He, Jie .
CHINESE JOURNAL OF CANCER RESEARCH, 2018, 30 (01) :1-12
[5]   Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications [J].
Cintolo-Gonzalez, Jessica A. ;
Braun, Danielle ;
Blackford, Amanda L. ;
Mazzola, Emanuele ;
Acar, Ahmet ;
Plichta, Jennifer K. ;
Griffin, Molly ;
Hughes, Kevin S. .
BREAST CANCER RESEARCH AND TREATMENT, 2017, 164 (02) :263-284
[6]   PROJECTING INDIVIDUALIZED PROBABILITIES OF DEVELOPING BREAST-CANCER FOR WHITE FEMALES WHO ARE BEING EXAMINED ANNUALLY [J].
GAIL, MH ;
BRINTON, LA ;
BYAR, DP ;
CORLE, DK ;
GREEN, SB ;
SCHAIRER, C ;
MULVIHILL, JJ .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1989, 81 (24) :1879-1886
[7]   Validating and improving models for projecting the absolute risk of breast cancer [J].
Gail, MH ;
Costantino, JP .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2001, 93 (05) :334-335
[8]  
Gharekhanloo Farideh, 2018, Oman Med J, V33, P380, DOI 10.5001/omj.2018.71
[9]  
Jemal A, 2011, CA-CANCER J CLIN, V61, P134, DOI [10.3322/caac.20115, 10.3322/caac.21492, 10.3322/caac.20107]
[10]   Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: An analysis of 27,825 patient evaluations [J].
Kolb, TM ;
Lichy, J ;
Newhouse, JH .
RADIOLOGY, 2002, 225 (01) :165-175