scholarly journals Mammographic density, breast cancer risk and risk prediction

2007 ◽  
Vol 9 (6) ◽  
Author(s):  
Celine M Vachon ◽  
Carla H van Gils ◽  
Thomas A Sellers ◽  
Karthik Ghosh ◽  
Sandhya Pruthi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Mammographic Density

scholarly journals Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction

2014 ◽  
Vol 116 (2) ◽  
pp. 105-115 ◽  
Author(s):  
Rafael Llobet ◽  
Marina Pollán ◽  
Joaquín Antón ◽  
Josefa Miranda-García ◽  
María Casals ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Mammographic Density ◽  
Density Measurement

scholarly journals Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction

JAMA Oncology ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 476 ◽  
Author(s):  
Elke M. van Veen ◽  
Adam R. Brentnall ◽  
Helen Byers ◽  
Elaine F. Harkness ◽  
Susan M. Astley ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Single Nucleotide Polymorphisms ◽  
Risk Prediction ◽  
Mammographic Density ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction

Radiology ◽  
2020 ◽  
Vol 294 (2) ◽  
pp. 265-272 ◽  
Author(s):  
Karin Dembrower ◽  
Yue Liu ◽  
Hossein Azizpour ◽  
Martin Eklund ◽  
Kevin Smith ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Deep Learning ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Mammographic Density ◽  
Risk Score ◽  
Density Score

scholarly journals Inclusion of Plasma Prolactin Levels in Current Risk Prediction Models of Premenopausal and Postmenopausal Breast Cancer

2018 ◽  
Vol 2 (4) ◽  
Author(s):  
Marike Gabrielson ◽  
Kumari Ubhayasekera ◽  
Bo Ek ◽  
Mikael Andersson Franko ◽  
Mikael Eriksson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Mammographic Density ◽  
Postmenopausal Breast Cancer ◽  
Premenopausal Women ◽  
Plasma Prolactin ◽  
Risk Models ◽  
Current Risk

Abstract Background Circulating plasma prolactin is associated with breast cancer risk and may improve our ability to identify high-risk women. Mammographic density is a strong risk factor for breast cancer, but the association with prolactin is unclear. We studied the association between breast cancer, established breast cancer risk factors and plasma prolactin, and improvement of risk prediction by adding prolactin. Methods We conducted a nested case-control study including 721 breast cancer patients and 1400 age-matched controls. Plasma prolactin levels were assayed using immunoassay and mammographic density measured by STRATUS. Odds ratios (ORs) were calculated by multivariable adjusted logistic regression, and improvement in the area under the curve for the risk of breast cancer by adding prolactin to established risk models. Statistical tests were two-sided. Results In multivariable adjusted analyses, prolactin was associated with risk of premenopausal (OR, top vs bottom quintile = 1.9; 1.88 (95% confidence interval [CI] = 1.08 to 3.26) but not with postmenopausal breast cancer. In postmenopausal cases prolactin increased by 10.6% per cBIRADS category (Ptrend = .03). In combined analyses of prolactin and mammographic density, ORs for women in the highest vs lowest tertile of both was 3.2 (95% CI = 1.3 to 7.7) for premenopausal women and 2.44 (95% CI = 1.44 to 4.14) for postmenopausal women. Adding prolactin to current risk models improved the area under the curve of the Gail model (+2.4 units, P = .02), Tyrer-Cuzick model (+3.8, P = .02), and the CAD2Y model (+1.7, P = .008) in premenopausal women. Conclusion Circulating plasma prolactin and mammographic density appear independently associated with breast cancer risk among premenopausal women, and prolactin may improve risk prediction by current risk models.

scholarly journals Novel mammogram‐based measures improve breast cancer risk prediction beyond an established mammographic density measure

2020 ◽  
Author(s):  
Tuong L. Nguyen ◽  
Daniel F. Schmidt ◽  
Enes Makalic ◽  
Gertraud Maskarinec ◽  
Shuai Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Mammographic Density ◽  
Density Measure

scholarly journals Enhancement of Mammographic Density Measures in Breast Cancer Risk Prediction

2014 ◽  
Vol 23 (7) ◽  
pp. 1314-1323 ◽  
Author(s):  
Abbas Cheddad ◽  
Kamila Czene ◽  
John A. Shepherd ◽  
Jingmei Li ◽  
Per Hall ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Mammographic Density
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