Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer

被引:12
|
作者
Brandt, Kathleen R. [1 ]
Scott, Christopher G. [2 ]
Miglioretti, Diana L. [3 ]
Jensen, Matthew R. [2 ]
Mahmoudzadeh, Amir P. [4 ]
Hruska, Carrie [1 ]
Ma, Lin [5 ]
Wu, Fang Fang [2 ]
Cummings, Steven R. [6 ]
Norman, Aaron D. [2 ]
Engmann, Natalie J. [7 ]
Shepherd, John A. [8 ]
Winham, Stacey J. [2 ]
Kerlikowske, Karla [7 ]
Vachon, Celine M. [2 ]
机构
[1] Mayo Clin, Dept Radiol, 200 First St SW, Rochester, MN 55905 USA
[2] Mayo Clin, Dept Hlth Sci, 200 First St SW, Rochester, MN 55905 USA
[3] Kaiser Permanente Washington Hlth Res Inst, 1730 Minor Ave, Seattle, WA 98101 USA
[4] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, 505 Parnassus Ave, San Francisco, CA 94143 USA
[5] Kaiser Permanente, Div Res, 2000 Broadway, Oakland, CA 94612 USA
[6] Calif Pacific Med Ctr, Res Inst, 475 Brannan St,220, San Francisco, CA 94107 USA
[7] Univ Calif San Francisco, Dept Epidemiol & Biostat, 550 16th St,Second Floor, San Francisco, CA 94158 USA
[8] Univ Hawaii, Ctr Canc, 701 Ilalo St, Honolulu, HI 96813 USA
基金
美国国家卫生研究院;
关键词
Volumetric density; Breast density; Breast cancer; Tissue asymmetry; Risk; MAMMOGRAPHIC PERCENT DENSITY; RISK; RADIOLOGISTS; ASSOCIATION; PERFORMANCE; ASYMMETRY; INTERVAL;
D O I
10.1186/s13058-019-1198-9
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Given that breast cancer and normal dense fibroglandular tissue have similar radiographic attenuation, we examine whether automated volumetric density measures identify a differential change between breasts in women with cancer and compare to healthy controls. Methods: Eligible cases (n = 1160) had unilateral invasive breast cancer and bilateral full-field digital mammograms (FFDMs) at two time points: within 2 months and 1-5 years before diagnosis. Controls (n = 2360) were matched to cases on age and date of FFDMs. Dense volume (DV) and volumetric percent density (VPD) for each breast were assessed using Volpara (TM). Differences in DV and VPD between mammograms (median 3 years apart) were calculated per breast separately for cases and controls and their difference evaluated by using the Wilcoxon signed-rank test. To simulate clinical practice where cancer laterality is unknown, we examined whether the absolute difference between breasts can discriminate cases from controls using area under the ROC curve (AUC) analysis, adjusting for age, BMI, and time. Results: Among cases, the VPD and DV between mammograms of the cancerous breast decreased to a lesser degree (-0.26% and -2.10 cm(3)) than the normal breast (-0.39% and -2.74 cm(3)) for a difference of 0.13% (p value < 0.001) and 0.63 cm(3) (p = 0.002), respectively. Among controls, the differences between breasts were nearly identical for VPD (-0.02 [p = 0.92]) and DV (0.05 [p = 0.77]). The AUC for discriminating cases from controls using absolute difference between breasts was 0.54 (95% CI 0.52, 0.56) for VPD and 0.56 (95% CI, 0.54, 0.58) for DV. Conclusion: There is a small relative increase in volumetric density measures over time in the breast with cancer which is not found in the normal breast. However, the magnitude of this difference is small, and this measure alone does not appear to be a good discriminator between women with and without breast cancer.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Racial differences in quantitative measures of area and volumetric breast density
    McCarthy, Anne Marie
    Keller, Brad
    Synnestvedt, Marie
    Conant, Emily
    Armstrong, Katrina
    Kontos, Despina
    [J]. CANCER RESEARCH, 2015, 75
  • [42] Volumetric Density Analysis Using Automated Whole Breast Ultrasound
    Chang, R.
    Shen, Y.
    Chen, J.
    Huang, C.
    Moon, W.
    Luo, S.
    [J]. MEDICAL PHYSICS, 2010, 37 (06) : 3418 - +
  • [43] Automated Volumetric Breast Density derived by Shape and Appearance Modeling
    Malkov, Serghei
    Kerlikowske, Karla
    Shepherd, John
    [J]. MEDICAL IMAGING 2014: IMAGE PROCESSING, 2014, 9034
  • [44] Automated volumetric breast density estimation: A comparison with visual assessment
    Seo, J. M.
    Ko, E. S.
    Han, B. -K.
    Ko, E. Y.
    Shin, J. H.
    Hahn, S. Y.
    [J]. CLINICAL RADIOLOGY, 2013, 68 (07) : 690 - 695
  • [45] Racial Differences in Quantitative Measures of Area and Volumetric Breast Density
    McCarthy, Anne Marie
    Keller, Brad M.
    Pantalone, Lauren M.
    Hsieh, Meng-Kang
    Synnestvedt, Marie
    Conant, Emily F.
    Armstrong, Katrina
    Kontos, Despina
    [J]. JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2016, 108 (10)
  • [46] Association of bone mineral density and mammographic breast density in premenopausal and postmenopausal Malaysian women: study on women with and without breast cancer
    Zain, Norhayati Mohd
    Seriramulu, Vengkatha Priya
    Chelliah, Kanaga Kumari
    Soin, Norhayati
    Arasaratnam, Shantini
    [J]. 2016 INTERNATIONAL CONFERENCE ON BIO-ENGINEERING FOR SMART TECHNOLOGIES (BIOSMART), 2016,
  • [47] Volumetric Breast Density and Breast Cancer Risk Factors in a Screening Population
    Diffey, Jennifer
    Morrison, Joanna
    Berks, Michael
    Greene, Joanne
    Morris, Julie
    Maxwell, Anthony
    Boggis, Caroline
    Hufton, Alan
    Astley, Susan
    [J]. DIGITAL MAMMOGRAPHY, 2010, 6136 : 386 - +
  • [48] Molecular landscape of the breasts of women at high risk for breast cancer
    Marino, Natascia
    German, Rana
    Nakshatri, Harikrishna
    Vode, Ashley
    Liu, Jun
    Huang, Jie
    Rush, Douglas B.
    Cao, Sha
    Storniolo, Anna Maria V.
    [J]. CANCER RESEARCH, 2020, 80 (04)
  • [49] SCREENING FOR BREAST-CANCER - WOMEN DO EXAMINE THEIR BREASTS
    SMITH, N
    DOWELL, AC
    [J]. BRITISH MEDICAL JOURNAL, 1994, 309 (6955): : 664 - 664
  • [50] PB.23. Breast density in previous screening mammograms of women with and without breast cancer
    L Sivagnanam
    A Hufton
    M Berks
    E Harkness
    Y Lim
    A Maxwell
    M Wilson
    M Bydder
    S Gadde
    DG Evans
    A Howell
    P Stavrinos
    S Astley
    [J]. Breast Cancer Research, 16