Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

Abstract Background Case–control studies show that mammographic density is a better risk factor when defined at higher than conventional pixel-brightness thresholds. We asked if this applied to interval and/or screen-detected cancers. Method We conducted a nested case–control study within the prospe...

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Bibliographic Details
Main Authors: Tuong L. Nguyen, Ye K. Aung, Shuai Li, Nhut Ho Trinh, Christopher F. Evans, Laura Baglietto, Kavitha Krishnan, Gillian S. Dite, Jennifer Stone, Dallas R. English, Yun-Mi Song, Joohon Sung, Mark A. Jenkins, Melissa C. Southey, Graham G. Giles, John L. Hopper
Format: Article
Language:English
Published: BMC 2018-12-01
Series:Breast Cancer Research
Subjects:
Breast cancer
Masking effect
Interval cancer
Screen-detected
Nested case–control cohort study
Australian women
Online Access:http://link.springer.com/article/10.1186/s13058-018-1081-0

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http://link.springer.com/article/10.1186/s13058-018-1081-0

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