alexa Breast Density In Chinese Women: Using Percentage And Area Measures From A Quantitative Technique
ISSN: 2572-4118

Breast Cancer: Current Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Share This Page

Additional Info

Loading
Loading Please wait..
 

5th World Congress on Breast Cancer
June 15-17, 2017 London, UK

Tong Li, Lichen Tang, Ziba Gandomkar, Rob Heard, Claudia Mello-Thoms, Zhimin Shao, Carolyn Nickson and Patrick Brennan
The University of Sydney, Australia
Fdan University Shanghai Cancer Centre, China
The University of Melbourne, Australia
ScientificTracks Abstracts: Breast Can Curr Res
DOI: 10.4172/2572-4118-C1-005
Abstract
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.

Email: [email protected]

image PDF   |   image HTML
 

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords