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Publicação
Automatic Breast Density Classification on Tomosynthesis Images
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Orientador(es)
Resumo(s)
Breast cancer (BC) is the type of cancer that most greatly affects women globally
hence its early detection is essential to guarantee an effective treatment. Although digital
mammography (DM) is the main method of BC detection, it has low sensitivity with about
30% of positive cases undetected due to the superimposition of breast tissue when
crossed by the X-ray beam. Digital breast tomosynthesis (DBT) does not share this limi tation, allowing the visualization of individual breast slices due to its image acquisition
system. Consecutively, DBT was the object of this study as a means of determining one
of the main risk factors for BC: breast density (BD). This thesis was aimed at developing
an algorithm that, taking advantage of the 3D nature of DBT images, automatically clas sifies them in terms of BD. Thus, a quantitative, objective and reproducible classification
was obtained, which will contribute to ascertain the risk of BC.
The algorithm was developed in MATLAB and later transferred to a user interface
that was compiled into an executable application.
Using 350 images from the VICTRE database for the first classification phase –
group 1 (ACR1+ACR2) versus group 2 (ACR3+ACR4), the highest AUC value of 0,9797
was obtained. In the classification within groups 1 and 2, the AUC obtained was 0,7461
and 0,6736, respectively. The algorithm attained an accuracy of 82% for these images.
Sixteen exams provided by Hospital da Luz were also evaluated, with an overall accuracy
of 62,5%.
Therefore, a user-friendly and intuitive application was created that prioritizes the
use of DBT as a diagnostic method and allows an objective classification of BD. This study
is a first step towards preparing medical institutions for the compulsoriness of assessing
BD, at a time when BC is still a very present pathology that shortens the lives of thousands
of people.
Descrição
Palavras-chave
breast density breast tomosynthesis automatic classification breast cancer