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Parenchymal field effect analysis for breast cancer risk assessment: Evaluation of FFDM radiomic similarity

Publication ,  Conference
Baughan, NM; Li, H; Lan, L; Chan, CW; Embury, M; Whitman, G; El-Zein, R; Bedrosian, I; Giger, ML
Published in: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
January 1, 2021

Histologically normal areas of the breast parenchyma have been shown to share molecular similarity with breast tumors, suggesting the presence of a field effect in breast cancer. To further understand a potential cancer field effect, we compared mammographic parenchymal texture features across four regions of the breast. The study included 103 FFDMs with at least one identified malignant tumor. All FFDM images (12-bit quantization and 70 micron pixels) were acquired with a Hologic Lorad Selenia system and retrospectively collected under an IRB-approved protocol. Regions of interest (ROI) of 128x128 and 256x256 pixels were selected from four regions across the craniocaudal projection: within the identified tumor, adjacent to the tumor, distant from the tumor, and behind the nipple in the contralateral breast. Radiographic texture analysis was used to extract 45 features in each region. Kolmogorov-Smirnov (KS) and Pearson correlation tests assessed similarity between features in each region. KS test results, with a 95% confidence interval on the KS test statistic bootstrapped with 2000 iterations indicated that 81.8% (128x128) and 88.4% (256x256) of feature distributions across all ROI regions showed equivalence with a threshold equal to the critical value at the p = 0.05 level. Pearson correlation results demonstrated a majority of structure-based feature comparisons which reached statistical significance, and less intensity-based feature comparisons which reached statistical significance. These results support our hypothesis of a potential cancer field effect across tumor and non-tumor regions and support the development of computerized analysis of mammographic parenchymal patterns to assess breast cancer risk.

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Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

ISBN

9781510640238

Publication Date

January 1, 2021

Volume

11597
 

Citation

APA
Chicago
ICMJE
MLA
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Baughan, N. M., Li, H., Lan, L., Chan, C. W., Embury, M., Whitman, G., … Giger, M. L. (2021). Parenchymal field effect analysis for breast cancer risk assessment: Evaluation of FFDM radiomic similarity. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 11597). https://doi.org/10.1117/12.2581791
Baughan, N. M., H. Li, L. Lan, C. W. Chan, M. Embury, G. Whitman, R. El-Zein, I. Bedrosian, and M. L. Giger. “Parenchymal field effect analysis for breast cancer risk assessment: Evaluation of FFDM radiomic similarity.” In Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 11597, 2021. https://doi.org/10.1117/12.2581791.
Baughan NM, Li H, Lan L, Chan CW, Embury M, Whitman G, et al. Parenchymal field effect analysis for breast cancer risk assessment: Evaluation of FFDM radiomic similarity. In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2021.
Baughan, N. M., et al. “Parenchymal field effect analysis for breast cancer risk assessment: Evaluation of FFDM radiomic similarity.” Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11597, 2021. Scopus, doi:10.1117/12.2581791.
Baughan NM, Li H, Lan L, Chan CW, Embury M, Whitman G, El-Zein R, Bedrosian I, Giger ML. Parenchymal field effect analysis for breast cancer risk assessment: Evaluation of FFDM radiomic similarity. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2021.

Published In

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

DOI

ISSN

1605-7422

ISBN

9781510640238

Publication Date

January 1, 2021

Volume

11597