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ECR 2019 / C-1351
Radiomic's data correlated with breast carcinoma in mammograms: a retrospective review
Congress: ECR 2019
Poster No.: C-1351
Type: Scientific Exhibit
Keywords: Breast, Computer applications, Artificial Intelligence, Mammography, RIS, Image manipulation / Reconstruction, Screening, Statistics, Biopsy, Cancer, Image verification, Pathology
Authors: F. Leone1, A. Presazzi2, M. Cellina1, M. A. Orsi1, G. Oliva1; 1Milan/IT, 2PAVIA, IT/IT
DOI:10.26044/ecr2019/C-1351

Results

We obtained a final cohort of 84 images (CC and MLO mammograms) and a total of 43 cases of breast cancer, with different histopathology results (in one case the same mammogram showed two different breast cancers). We found differences of Radiomic's data between the two groups were statistically significant (p<0.05) for Compactness 1 (p= 0.044), Major Axis (p= 0.043) and Zone Percentage (p= 0.042).

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