Literature DB >> 15544906

A mammographic image analysis method to detect and measure changes in breast density.

Kostas Marias1, Christian Behrenbruch, Ralph Highnam, Santilal Parbhoo, Alexander Seifalian, Michael Brady.   

Abstract

We present an image analysis method that can detect and measure breast density from digitised mammograms. We present initial results on applying our method to characterise breast changes, in particular, changes due to Hormone Replacement Therapy (HRT). It has been established that long-term use of certain hormone replacement therapies can increase the risk of breast cancer, a fact that encourages the notion that objective measures of tissue density can be an important development in breast cancer image analysis. A set of 59 temporal pairs of mammograms of patients undergoing HRT (two images per patient) were used. The clinician's assessment of density changes constituted the ground truth for evaluating the proposed quantitative measures of density change. The measures we developed are based on the Standard Mammogram Form (SMF) representation of interesting tissue and their performance (agreement with the expert's description) is also compared to the "interactive thresholding" method that has been used in the past to characterise mammographic density. The results clearly indicate that present methods for measuring mammographic density fail to characterise temporal changes while the proposed measures have the potential to aid the radiologist in assessing temporal density changes both on a global and a local basis.

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Year:  2004        PMID: 15544906     DOI: 10.1016/j.ejrad.2004.02.014

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

1.  Volume of mammographic density and risk of breast cancer.

Authors:  John A Shepherd; Karla Kerlikowske; Lin Ma; Frederick Duewer; Bo Fan; Jeff Wang; Serghei Malkov; Eric Vittinghoff; Steven R Cummings
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-05-24       Impact factor: 4.254

Review 2.  A Review on Automatic Mammographic Density and Parenchymal Segmentation.

Authors:  Wenda He; Arne Juette; Erika R E Denton; Arnau Oliver; Robert Martí; Reyer Zwiggelaar
Journal:  Int J Breast Cancer       Date:  2015-06-11

Review 3.  Mammographic density, breast cancer risk and risk prediction.

Authors:  Celine M Vachon; Carla H van Gils; Thomas A Sellers; Karthik Ghosh; Sandhya Pruthi; Kathleen R Brandt; V Shane Pankratz
Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

  3 in total

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