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Proceedings Paper

Evaluation of four mammographic density measures on HRT data
Author(s): Jakob Raundahl; Marco Loog; Paola Pettersen; Mads Nielsen
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Paper 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.

Paper Details

Date Published: 9 March 2007
PDF: 6 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65121F (9 March 2007); doi: 10.1117/12.709554
Show Author Affiliations
Jakob Raundahl, Copenhagen Univ. (Denmark)
Marco Loog, Copenhagen Univ. (Denmark)
Nordic Bioscience A/S (Denmark)
Paola Pettersen, Ctr. for Clinical and Basic Research (Denmark)
Mads Nielsen, Copenhagen Univ. (Denmark)
Nordic Bioscience A/S (Denmark)

Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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