Combining artificial intelligence (AI) systems for short- and long-term breast cancer risk results in an improved cancer risk assessment, according to a study published in Radiology.
"About one in 10 women develop breast cancer throughout their lifetime," said study author Andreas D. Lauritzen, Ph.D., from the Department of Computer Science at the University of Copenhagen in Denmark."In recent years, AI has been studied for the purpose of diagnosing breast cancer earlier by automatically detecting breast cancers in mammograms and measuring the risk of future breast cancer.
Full-field digital mammograms in a 60-year-old woman with an interval cancer show the screening mammogram at the area of interest and the same area of interest on a clinical mammogram obtained during diagnostic testing a year later, whereby the blue circle indicates the diagnosed lesion. The woman was not recalled as a result of screening. The screening mammogram had a very high combined risk score as determined by the combination model with texture risk and the examination score.
The researchers used the diagnostic AI tool Transpara and a texture model that was developed by the researchers. A Dutch training set of over 39,000 exams was used to train the models. The short- and long-term risk models were combined using a three-layer neural network.of more than 119,000 women who were included in a breast cancer screening program in the Capital Region of Denmark between November 2012 and December 2015. The average age of the women was 59 years.
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