Open AccessMammographic sensitivity as a function of tumor size: A novel estimation based on population-based screening data
Author(s) -
Jing Wang,
Pam Gottschal,
Lilu Ding,
Willemina A. van Veldhuizen,
Wenli Lu,
Nehmat Houssami,
Marcel J. W. Greuter,
Geertruida H. de Bock
Publication year - 2020
Publication title -
the breast
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 78
eISSN - 1532-3080
pISSN - 0960-9776
DOI - 10.1016/j.breast.2020.12.003
Subject(s) - sensitivity (control systems) , confidence interval , univariate , mammography , statistics , population , medicine , breast cancer , mathematics , cancer , multivariate statistics , engineering , environmental health , electronic engineering
Instead of a single value for mammographic sensitivity, a sensitivity function based on tumor size more realistically reflects mammography's detection capability. Because previous models may have overestimated size-specific sensitivity, we aimed to provide a novel approach to improve sensitivity estimation as a function of tumor size.
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