Abstract
In multi-modality, multi-information breast cancer diagnosis framework, radiologists take into account all the information available in making diagnosis, one of which can be the information from reference cases. The purpose of this study is to investigate the relationship between pathological concordance and image similarity of breast masses for exploring the utility of similar images and determining the effective similarity index for image retrieval. Twenty-seven images of masses, three from each of 9 pathologic types, were used in this study. Subjective similarity ratings for all possible pairs (351 pairs) were provided by 8 expert readers. Thirteen image features were determined, and their usefulness as a similarity index was examined. Generally, masses with the same pathologic types were considered more similar (0.75) than those with different types (0.43) by the experts, although cysts and fibroadenomas appeared very similar on mammograms. Perimeter, ellipticity, radial gradient index, and full-width at half maximum of radial gradient histogram were considered potentially useful (correlation, r>0.4) for estimating subjective similarity among image features. Similar images together with their clinical data may serve as a useful reference for diagnosis of breast lesions.
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Muramatsu, C. et al. (2012). Correspondence among Subjective and Objective Similarities and Pathologic Types of Breast Masses on Digital Mammography. In: Maidment, A.D.A., Bakic, P.R., Gavenonis, S. (eds) Breast Imaging. IWDM 2012. Lecture Notes in Computer Science, vol 7361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31271-7_58
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DOI: https://doi.org/10.1007/978-3-642-31271-7_58
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