Spatial Relations of Mammographic Density Regions and their Association with Breast Cancer Risk
| Autor: | Maya Alsheh Ali, Mickaël Garnier, Keith Humphreys |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Spatial organisation 01 natural sciences 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Breast cancer medicine Mammography Computer vision 0101 mathematics Association (psychology) General Environmental Science Functional principal component analysis medicine.diagnostic_test business.industry MAMMOGRAPHIC DENSITY medicine.disease forces histogram Spatial relation 030220 oncology & carcinogenesis General Earth and Planetary Sciences Artificial intelligence business Body mass index Cartography Breast cancer risk |
| Zdroj: | MIUA |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2016.07.019 |
| Popis: | We present a new approach for characterising the shape and the spatial relationships of different categories of density in mammograms. Descriptions of regions are encoded using a forces histogram method and across-image variation is captured using functional principal component analysis. We evaluate the association of the features with breast cancer based on a pilot case- control study using logistic regression with percent density, age, and body mass index included as adjustment variables. The spatial relations were significantly associated with breast cancer status (p= 0.009). Our approach can provide insights into the role of different density regions in the development of breast cancer. |
| Databáze: | OpenAIRE |
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