TY - GEN
T1 - Bilateral breast volume asymmetry in screening mammograms as a potential marker of breast cancer
T2 - 14th IEEE International Conference on Image Processing, ICIP 2007
AU - Eltonsy, Nevine H.
AU - Elmaghraby, Adel S.
AU - Tourassi, Georgia D.
PY - 2007
Y1 - 2007
N2 - The biological concept of bilateral symmetry as a marker of developmental stability and good health is well established. Although most individuals deviate slightly from perfect symmetry, humans are essentially considered bilaterally symmetrical. Studies have shown that if an individual is exposed to genetic mutations or environmental stresses, the homeostatic mechanisms that maintain symmetry of paired structures (such as breasts) tend to break down. Consequently, increased fluctuating asymmetry of paired structures could be an indicator of poor health. This preliminary study tested if bilateral morphological breast asymmetry in screening mammograms correlates with the presence of breast cancer. Following the biological definition of breast asymmetry in terms of volume, we applied automated computer algorithms for screening mammograms that segment the breast region and then measure each segmented breast's volume. These parameters were measured separately for each breast in each mammographic view (CC and MLO). Then, the normalized absolute differences of these parameters were investigated as measurements of fluctuating asymmetry (FA). Based on 268 cancer cases and 82 normal cases from the DDSM database, we observed that cancer patients demonstrate statistically significantly higher fluctuating asymmetry in their screening mammograms than patients with normal screening studies. Using an artificial neural network to combine FA measurements from both views along with the patient's age and breast parenchymal density resulted in an ROC area of 0.80±0.03. These results suggest that bilateral breast volume asymmetry estimated in screening mammograms should be studied as a risk factor for breast cancer.
AB - The biological concept of bilateral symmetry as a marker of developmental stability and good health is well established. Although most individuals deviate slightly from perfect symmetry, humans are essentially considered bilaterally symmetrical. Studies have shown that if an individual is exposed to genetic mutations or environmental stresses, the homeostatic mechanisms that maintain symmetry of paired structures (such as breasts) tend to break down. Consequently, increased fluctuating asymmetry of paired structures could be an indicator of poor health. This preliminary study tested if bilateral morphological breast asymmetry in screening mammograms correlates with the presence of breast cancer. Following the biological definition of breast asymmetry in terms of volume, we applied automated computer algorithms for screening mammograms that segment the breast region and then measure each segmented breast's volume. These parameters were measured separately for each breast in each mammographic view (CC and MLO). Then, the normalized absolute differences of these parameters were investigated as measurements of fluctuating asymmetry (FA). Based on 268 cancer cases and 82 normal cases from the DDSM database, we observed that cancer patients demonstrate statistically significantly higher fluctuating asymmetry in their screening mammograms than patients with normal screening studies. Using an artificial neural network to combine FA measurements from both views along with the patient's age and breast parenchymal density resulted in an ROC area of 0.80±0.03. These results suggest that bilateral breast volume asymmetry estimated in screening mammograms should be studied as a risk factor for breast cancer.
KW - Mammography
KW - Quantitative image analysis
KW - Risk assessment
UR - http://www.scopus.com/inward/record.url?scp=48149105489&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2007.4379751
DO - 10.1109/ICIP.2007.4379751
M3 - Conference contribution
AN - SCOPUS:48149105489
SN - 1424414377
SN - 9781424414376
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 5
EP - 8
BT - 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PB - IEEE Computer Society
Y2 - 16 September 2007 through 19 September 2007
ER -