Paper
9 March 2007 Evaluation of four mammographic density measures on HRT data
Author Affiliations +
Abstract
Numerous studies have investigated the relation between mammographic density and breast cancer risk. These studies indicate that women with dense breasts have a four to six fold risk increase. There is currently no gold standard for automatic assessment of mammographic density. In previous work two different automated methods for measuring the effect of HRT w.r.t. changes in breast density have been presented. One is a percentage density based on an adaptive global threshold, and the other is an intensity invariant measure, which provides structural information orthogonal to intensity-based methods. In this article we investigate the ability to detect density changes induced by HRT for these measures and compare to a radiologist's BI-RADS rating and interactive threshold percentage density. In the experiments, two sets of mammograms of 80 patients from a double blind, placebo controlled HRT experiment are used. The p-values for the statistical significance of the separation of density means, for the HRT group and the placebo group at end of study, are 0.2, 0.1, 0.02 and 0.02 for the automatic threshold, BI-RADS, the stripyness and the interactive threshold respectively.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jakob Raundahl, Marco Loog, Paola Pettersen, and Mads Nielsen "Evaluation of four mammographic density measures on HRT data", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65121F (9 March 2007); https://doi.org/10.1117/12.709554
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KEYWORDS
Breast

Mammography

Tissues

Breast cancer

Cancer

Oncology

Magnesium

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