Medical Imaging 2021: Computer-Aided Diagnosis 2021
DOI: 10.1117/12.2581791
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Parenchymal field effect analysis for breast cancer risk assessment: evaluation of FFDM radiomic similarity

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Cited by 2 publications
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“…Previous work by Baughan et al investigated similar characteristics of the breast parenchyma in mammograms using radiomic features. 23 While the results of the prior work indicated similarity of parenchymal signatures across the entire breast, it is important to note that the authors used a different statistical test (Kolmogorov Smirnov) and had also aligned the means of each distribution for each comparison. Such alignment of the distribution means removed the impact of the absolute feature value change and only investigated similarity of distribution shape.…”
Section: Discussionmentioning
confidence: 99%
“…Previous work by Baughan et al investigated similar characteristics of the breast parenchyma in mammograms using radiomic features. 23 While the results of the prior work indicated similarity of parenchymal signatures across the entire breast, it is important to note that the authors used a different statistical test (Kolmogorov Smirnov) and had also aligned the means of each distribution for each comparison. Such alignment of the distribution means removed the impact of the absolute feature value change and only investigated similarity of distribution shape.…”
Section: Discussionmentioning
confidence: 99%
“…The optical properties of a cancerous mass were assigned to characterize these scattering centers. This decision was based on the fact that the tex- ture features of the areas corresponding to tumors on mammography are denser and coarser than healthy tissue; however, there is also evidence that, in the presence of field cancerization, the areas of the tumor and nontumor show statistically significant similarity on several texture features 40 ; so, the same type of scattering centers were introduced into the breast phantom, although in a nonhomogeneous fashion, as a way to mimic this extended coarseness in the resulting image. Figure 3 shows the mean free paths × the nominal density of the different tissues, including the type of tissue used for the scattering centers, for the different attenuating events possibly considered in the simulation.…”
Section: Field Cancerization Modelmentioning
confidence: 99%