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conferenceseries.com
Volume 2, Issue 3 (Suppl) Breast Can Curr Res, an open access journal
ISSN: 2572-4118 Breast Cancer 2017
June 15-17, 2017
June 15-17, 2017 London, UK
5th World Congress on
Breast Cancer
Breast density in Chinese women: Using percentage and area measures from a quantitative technique
Tong Li1 , Lichen Tang2, Ziba Gandomkar1, Rob Heard1, Claudia Mello-Thoms1 , Zhimin Shao2, Carolyn Nickson3 and Patrick Brennan1
1The University of Sydney, Australia
2Fdan University Shanghai Cancer Centre, China
3The University of Melbourne, Australia
Breast density (BD) is an independent risk factor for breast cancer but its characteristics are poorly understood in China.
This study aims to identify associated factors with BD in Chinese women by using a quantitative method. 84 cancer and
987 cancer-free women were recruited from Fudan University Shanghai Cancer Centre. BD was measured by an automatic
algorithm autodensity and expressed in both percentage density (PD) and dense area (DA) format. Pearson tests were
performed to exam relationships between density and continuous variables and t-tests were conducted to compare differences
of mean density values for categorical variables. Multivariate models were built using variables being statistically significant
from the Pearson and t-tests. For cancer-free women, weight and BMI were negatively associated (r=-0.237, r=-0.272) with
PD whereas positively associated (r=-0.495, r =-0.520) with DA; age was associated with PD (r=-0.202) and DA (r=-0.086)
but did not add any prediction within multivariate models. Lower PD was found within women with secondary education
background or below compared to women with tertiary education. For cancer-women, PD showed similar relationships with
that of cancer-free women whilst breast area was the only factor that was associated with DA (r=0.739). This is the first time
that BD was measured by a quantitative method for Chinese women and important associations were identified for both PA
and DA. The findings are very valuable to policy makers being responsible for introducing effective models of breast cancer
prevention and diagnosis.
Biography
Tong Li is a PhD candidate at Faculty of Health Sciences, The University of Sydney. Her PhD project is studying breast density and cancer presentations for women
in China. This project will be the first study to determine the optimum image technology for policy makers in China who are considering the implementation and
implications of a national population-based breast cancer screening program. She published a literature review regarding breast cancer in China last year in Breast
Cancer Research and Treatment with an impact factor of 4.
Tong Li et al., Breast Can Curr Res 2017, 2:3(Suppl)
DOI: 10.4172/2572-4118-C1-005