Literature DB >> 26838256

Bioimpedence to Assess Breast Density as a Risk Factor for Breast Cancer in Adult Women and Adolescent Girls.

Gertraud Maskarinec1, Yukiko Morimoto, Michelle B Laguana, Rachel Novotny, Rachael T Leon Guerrero.   

Abstract

Although high mammographic density is one of the strongest predictors of breast cancer risk, X-ray based mammography cannot be performed before the recommended screening age, especially not in adolescents and young women. Therefore, new techniques for breast density measurement are of interest. In this pilot study in Guam and Hawaii, we evaluated a radiation-free, bioimpedance device called Electrical Breast DensitometerTM (EBD; senoSENSE Medical Systems, Inc., Ontario, Canada) for measuring breast density in 95 women aged 31-82 years and 41 girls aged 8-18 years. Percent density (PD) was estimated in the women's most recent mammogram using a computer-assisted method. Correlation coefficients and linear regression were applied for statistical analysis. In adult women, mean EBD and PD values of the left and right breasts were 230±52 and 226±50 Ω and 23.7±15.1 and 24.2±15.2%, respectively. The EBD measurements were inversely correlated with PD (rSpearman=-0.52, p<0.0001); the correlation was stronger in Caucasians (rSpearman=-0.70, p<0.0001) than Asians (rSpearman=-0.54, p<0.01) and Native Hawaiian/Chamorro/Pacific Islanders (rSpearman=-0.34, p=0.06). Using 4 categories of PD (<10, 10-25, 26-50, 51-75%), the respective mean EBD values were 256±32, 249±41, 202±46, and 178±43 Ω (p<0.0001). In girls, the mean EBD values in the left and right breast were 148±40 and 155±54 Ω; EBD values decreased from Tanner stages 1 to 4 (204±14, 154±79, 136±43, and 119±16 Ω for stages 1-4, respectively) but were higher at Tanner stage 5 (165±30 Ω). With further development, this bioimpedance method may allow for investigations of breast development among adolescent, as well as assessment of breast cancer risk early in life and in populations without access to mammography.

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Year:  2016        PMID: 26838256      PMCID: PMC4758674          DOI: 10.7314/apjcp.2016.17.1.65

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  19 in total

1.  Two approaches for estimating disease prevalence from population-based registries of incidence and total mortality.

Authors:  M H Gail; L Kessler; D Midthune; S Scoppa
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

2.  The Hawaii Tumor Registry: more than forty years of cancer surveillance for the islands.

Authors:  Brenda Y Hernandez
Journal:  Hawaii Med J       Date:  2002-03

3.  Breast cancer--early life matters.

Authors:  Karin B Michels; Walter C Willett
Journal:  N Engl J Med       Date:  2004-10-14       Impact factor: 91.245

Review 4.  Analysis of mammographic density and breast cancer risk from digitized mammograms.

Authors:  J W Byng; M J Yaffe; R A Jong; R S Shumak; G A Lockwood; D L Tritchler; N F Boyd
Journal:  Radiographics       Date:  1998 Nov-Dec       Impact factor: 5.333

Review 5.  Mammographic breast density as an intermediate phenotype for breast cancer.

Authors:  Norman F Boyd; Johanna M Rommens; Kelly Vogt; Vivian Lee; John L Hopper; Martin J Yaffe; Andrew D Paterson
Journal:  Lancet Oncol       Date:  2005-10       Impact factor: 41.316

6.  Novel approach to evaluating breast density utilizing ultrasound tomography.

Authors:  Carri Glide; Nebojsa Duric; Peter Littrup
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

7.  Mammographic breast density and the Gail model for breast cancer risk prediction in a screening population.

Authors:  Jeffrey A Tice; Steven R Cummings; Elad Ziv; Karla Kerlikowske
Journal:  Breast Cancer Res Treat       Date:  2005-11       Impact factor: 4.872

8.  Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.

Authors:  Jeffrey A Tice; Steven R Cummings; Rebecca Smith-Bindman; Laura Ichikawa; William E Barlow; Karla Kerlikowske
Journal:  Ann Intern Med       Date:  2008-03-04       Impact factor: 25.391

9.  The relationship of anthropometric measures to radiological features of the breast in premenopausal women.

Authors:  N F Boyd; G A Lockwood; J W Byng; L E Little; M J Yaffe; D L Tritchler
Journal:  Br J Cancer       Date:  1998-11       Impact factor: 7.640

Review 10.  Mammographic density. Measurement of mammographic density.

Authors:  Martin J Yaffe
Journal:  Breast Cancer Res       Date:  2008-06-19       Impact factor: 6.466

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  1 in total

1.  A Case Study in Breast Density Evaluation Using Bioimpedance Measurements.

Authors:  Marcos Gutiérrez-Lopez; Juan Prado-Olivarez; Carolina Matheus-Troconis; Alfredo Padilla-Medina; Alejandro I Barranco-Gutiérrez; Alejandro Espinosa-Calderon; Carlos A Herrera-Ramírez; Javier Diaz-Carmona
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

  1 in total

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