Toward automated assessment of breast lumpectomy margins using radiomic and optomic signatures

Samuel S. Streeter; Brady Hunt; Rebecca A Zuurbier; Wendy A. Wells; Keith D. Paulsen; Brian W. Pogue

doi:10.1117/12.2612077

7 March 2022 Toward automated assessment of breast lumpectomy margins using radiomic and optomic signatures

Samuel S. Streeter, Brady Hunt, Rebecca A Zuurbier, Wendy A. Wells, Keith D. Paulsen, Brian W. Pogue

Author Affiliations +

Proceedings Volume PC11944, Multiscale Imaging and Spectroscopy III; PC1194401 (2022) https://doi.org/10.1117/12.2612077
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

High positive margin rates in oncologic breast-conserving surgery are a pressing clinical problem. Volumetric X-ray scanning is emerging as a powerful ex vivo specimen imaging technique for analyzing resection margins, but X-rays lack contrast between non-malignant and malignant fibrous tissues. In this study, combined micro-CT and wide-field optical image radiomics were developed to classify malignancy in breast cancer tissues. Results indicate that this form of multimodal radiomic analysis improves malignancy classification with statistical significance relative to using either X-ray or optical data alone.

Conference Presentation

Citation Download Citation

Samuel S. Streeter, Brady Hunt, Rebecca A Zuurbier, Wendy A. Wells, Keith D. Paulsen, and Brian W. Pogue "Toward automated assessment of breast lumpectomy margins using radiomic and optomic signatures", Proc. SPIE PC11944, Multiscale Imaging and Spectroscopy III, PC1194401 (7 March 2022); https://doi.org/10.1117/12.2612077

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