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
  • [1] Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer
    Kathleen R. Brandt
    Christopher G. Scott
    Diana L. Miglioretti
    Matthew R. Jensen
    Amir P. Mahmoudzadeh
    Carrie Hruska
    Lin Ma
    Fang Fang Wu
    Steven R. Cummings
    Aaron D. Norman
    Natalie J. Engmann
    John A. Shepherd
    Stacey J. Winham
    Karla Kerlikowske
    Celine M. Vachon
    [J]. Breast Cancer Research, 21
  • [2] Automated Volumetric Mammographic Breast Density Measurements May Underestimate Percent Breast Density for High-density Breasts
    Rahbar, Kareem
    Gubern-Merida, Albert
    Patrie, James T.
    Harvey, Jennifer A.
    [J]. ACADEMIC RADIOLOGY, 2017, 24 (12) : 1561 - 1569
  • [3] Computerized Detection of Breast Cancer On Automated Breast Ultrasound for Women with Dense Breasts
    Drukker, K.
    Sennett, C.
    Giger, M.
    [J]. MEDICAL PHYSICS, 2013, 40 (06)
  • [4] Prediction of breast cancer risk by automated volumetric breast density measurement
    Nara, Miyako
    Fujioka, Tomoyuki
    Mori, Mio
    Aruga, Tomoyuki
    Tateishi, Ukihide
    [J]. JAPANESE JOURNAL OF RADIOLOGY, 2023, 41 (01) : 54 - 62
  • [5] Prediction of breast cancer risk by automated volumetric breast density measurement
    Miyako Nara
    Tomoyuki Fujioka
    Mio Mori
    Tomoyuki Aruga
    Ukihide Tateishi
    [J]. Japanese Journal of Radiology, 2023, 41 : 54 - 62
  • [6] Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts
    Drukker, Karen
    Sennett, Charlene A.
    Giger, Maryellen L.
    [J]. MEDICAL PHYSICS, 2014, 41 (01)
  • [7] The association between volumetric breast density and breast cancer subtypes among women newly diagnosed with breast cancer.
    Balema, Wintana A.
    Moseley, Tanya W.
    Weaver, Olena
    Hess, Kenneth R.
    Brewster, Abenaa M.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (15)
  • [8] Correction to: Prediction of breast cancer risk by automated volumetric breast density measurement
    Miyako Nara
    Tomoyuki Fujioka
    Mio Mori
    Tomoyuki Aruga
    Ukihide Tateishi
    [J]. Japanese Journal of Radiology, 2024, 42 : 435 - 435
  • [9] The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk
    Masala, Giovanna
    Assedi, Melania
    Bendinelli, Benedetta
    Pastore, Elisa
    Gilio, Maria Antonietta
    Mazzalupo, Vincenzo
    Querci, Andrea
    Fontana, Miriam
    Duroni, Giacomo
    Facchini, Luigi
    Saieva, Calogero
    Palli, Domenico
    Ambrogetti, Daniela
    Caini, Saverio
    [J]. CANCERS, 2023, 15 (06)
  • [10] The Relationship Between Breast Density Change During Menopause and the Risk of Breast Cancer in Korean Women
    Kang, Danbee
    Kim, Ji-Yeon
    Kim, Ji-Young
    Mun, Han Song
    Yoon, Sook Ja
    Lee, Jieun
    Han, Gayeon
    Im, Young-Hyuck
    Shin, Soo-Young
    Lee, Se Kyung
    Yu, Jong-Han
    Lee, Kyung-Hyun
    Kim, Mincheol
    Park, Dohyun
    Choi, Yoon-Ho
    Jeong, Ok Soon
    Lee, Jean Hyoung
    Jekal, Se Yong
    Choi, Jong Soo
    Guallar, Eliseo
    Chang, Yoosoo
    Ryu, Seungho
    Cho, Juhee
    Kang, Mira
    [J]. CANCER PREVENTION RESEARCH, 2021, 14 (12) : 1119 - 1127