Exploring the prediction performance for breast cancer risk based on volumetric mammographic density at different thresholds

Exploring the prediction performance for breast cancer risk based on volumetric mammographic density at different thresholds

Abstract Background The percentage of mammographic dense tissue (PD) defined by pixel value threshold is a well-established risk factor for breast cancer. Recently there has been some evidence to suggest that an increased threshold based on visual assessment could improve risk prediction. It is unkn...

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Bibliographic Details
Main Authors: Chao Wang, Adam R. Brentnall, Jack Cuzick, Elaine F. Harkness, D. Gareth Evans, Susan Astley
Format: Article
Language:English
Published: BMC 2018-06-01
Series:Breast Cancer Research
Subjects:
Breast density
Thresholding
Digital mammogram
Risk prediction
Breast cancer
Online Access:http://link.springer.com/article/10.1186/s13058-018-0979-x

Internet

http://link.springer.com/article/10.1186/s13058-018-0979-x

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