Fractal dimension and lacunarity analysis of mammographic patterns in assessing breast cancer risk related to HRT treated population: a longitudinal and cross-sectional study

2009 ◽  
Author(s):  
Gopal Karemore ◽  
Mads Nielsen
Keyword(s):  
Breast Cancer ◽  
Fractal Dimension ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mammographic Patterns ◽  
Lacunarity Analysis

scholarly journals Breast cancer risk perceptions of Turkish women attending primary care: a cross-sectional study

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Mehtap Kartal ◽  
Nilgun Ozcakar ◽  
Sehnaz Hatipoglu ◽  
Makbule Neslisah Tan ◽  
Azize Dilek Guldal
Keyword(s):  
Breast Cancer ◽  
Primary Care ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Perceptions ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Turkish Women ◽  
Cross Sectional ◽  
Cancer Risk Perceptions

Cross-sectional Study to Assess the Association of Population Density with Predicted Breast Cancer Risk

2014 ◽  
Vol 20 (6) ◽  
pp. 615-621 ◽  
Author(s):  
Jeannette Y. Lee ◽  
Suzanne Klimberg ◽  
Kristina L. Bondurant ◽  
Martha M. Phillips ◽  
Susan A. Kadlubar
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Population Density ◽  
Cancer Risk ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Effect of Lipophilic and Hydrophilic Statins on Breast Cancer Risk in Thai Women: A Cross-sectional Study

2016 ◽  
Vol 7 (9) ◽  
pp. 1163-1168 ◽  
Author(s):  
Thunyarat Anothaisintawee ◽  
Umaporn Udomsubpayakul ◽  
Mark McEvoy ◽  
Panuwat Lerdsitthichai ◽  
John Attia ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Thai Women

Gail model utilization in predicting breast cancer risk in Egyptian women: a cross-sectional study

2021 ◽  
Author(s):  
Basem Saleh ◽  
Mohamed A. Elhawary ◽  
Moataz E. Mohamed ◽  
Islam N. Ali ◽  
Menna S. El Zayat ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Gail Model ◽  
Cross Sectional ◽  
Egyptian Women

scholarly journals Development and Validation of a Breast Cancer Risk Prediction Model for Thai Women: A Cross-Sectional Study

2014 ◽  
Vol 15 (16) ◽  
pp. 6811-6817 ◽  
Author(s):  
Thunyarat Anothaisintawee ◽  
Yot Teerawattananon ◽  
Cholatip Wiratkapun ◽  
Jiraporn Srinakarin ◽  
Piyanoot Woodtichartpreecha ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Prediction Model ◽  
Risk Prediction ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Thai Women ◽  
Development And Validation

scholarly journals First Prospective Cross-Sectional Study on the Impact of Immigration Background and Education in Early Detection of Breast Cancer

Breast Care ◽  
2020 ◽  
pp. 1-7
Author(s):  
Elna Kuehnle ◽  
Wulf Siggelkow ◽  
Kristina Luebbe ◽  
Iris Schrader ◽  
Karl-Heinz Noeding ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
First Generation ◽  
Participation Rate ◽  
Educational Status ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
First Generation Immigrants ◽  
Cancer Early Detection

<b><i>Background:</i></b> Although immigrant health is an important issue in national health policy, there is a serious shortage of data in many countries. Most studies lack information on educational status, which is a major limitation. This prospective cross-sectional study analyzed a real-world breast cancer population on the influence of immigration background and educational status on participation in breast cancer early detection programs in the federal state of Lower Saxony, Germany. <b><i>Methods:</i></b> Data collection was conducted from 2012 to 2016 in six certified breast cancer centers using a standardized questionnaire for patients’ interview and tumor-specific data from the patients’ medical records. <b><i>Results:</i></b> 2,145/3,047 primary breast cancer cases were analyzed. 17.5% of our patients had a history of immigration, including <i>n</i> = 202 first-generation immigrants and <i>n</i> = 168 second-generation immigrants. Most of them were citizens of EU27 member states. No significant difference was seen in age, tumor stage, histology, grading, Ki-67, Her2/neu-status, and hormone receptor status compared to the native cohort. 100% participation rate in the breast cancer early detection programs were seen in patients with no school graduation. With regards to the national mammography screening program, participation decreased significantly with educational status (<i>p</i> = 0.0003). <b><i>Conclusions:</i></b> No tumor biological differences were seen between immigrants and German natives. In first-generation immigrants, early detection programs were well accepted despite sociocultural and language differences. Participation rate decreased significantly with higher education levels irrespective of country of origin. Immigration background does not have a negative effect on the participation in breast cancer screening. This mainly relates to immigrants from EU27 member states.

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