Name
Abstract | ||
|---|---|---|
Mammographic density and parenchymal patterns have been shown to be associated with the risk of developing breast cancer. Two groups of women: gene-mutation carriers and low-risk women were included in this study. Power spectral analysis was performed within parenchymal regions of 172 digitized craniocaudal normal mammograms of the BRCA1/BRCA2 gene-mutation carriers and those of women at low-risk of developing breast cancer. The power law spectrum of the form, P(f) = B/f(beta), was evaluated for the mammographic patterns. Receiver Operating Characteristic (ROC) analysis was used to assess the performance of exponent beta as a decision variable in the task of distinguishing between high and low-risk subjects. Power spectral analysis of mammograms demonstrated that mammographic parenchymal patterns have a power-law spectrum of the form, P(f) = B/f(beta), where f is radial spatial frequency, with the average beta values of 2.92 and 2.47 for the gene-mutation carriers and for the low-risk women, respectively. A(z) values of 0.90 and 0.89 were achieved in distinguishing between the gene-mutation carriers and the low-risk women with the individual image beta value as the decision variable in the entire database and the age-matched group, respectively. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1117/12.654188 | Proceedings of SPIE |
Keywords | Field | DocType |
image analysis,power spectral analysis,risk assessment,mammographic parenchymal patterns | Nuclear medicine,Decision variables,Mammography,Receiver operating characteristic,Breast cancer,Power spectral analysis,MAMMOGRAPHIC DENSITY,Pathology,Mathematics | Conference |
Volume | ISSN | Citations |
6144 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Li | 1 | 45 | 15.48 |
| Maryellen L. Giger | 2 | 393 | 85.89 |
| Olufunmilayo I. Olopade | 3 | 42 | 7.46 |