Spectral Discrimination of Breast Pathologies in Situ Using Spatial Frequency Domain Imaging

Authors

Ashley M. Laughney, Dartmouth College
Venkataramanan Krishnaswamy, Dartmouth College
Elizabeth J. Rizzo, Dartmouth College
Mary C. Schwab, Dartmouth College
Richard J. Barth, Dartmouth CollegeFollow
David J. Cuccia, University of California, Irvine
Bruce J. Tromberg, University of California, Irvine
Keith D. Paulsen, Dartmouth College
Brian W. Pogue, Dartmouth College
Wendy A. Wells, Dartmouth College

Document Type

Article

Publication Date

8-5-2013

Publication Title

Breast Cancer Research

Department

Geisel School of Medicine

Abstract

Introduction: Nationally, 25% to 50% of patients undergoing lumpectomy for local management of breast cancer require a secondary excision because of the persistence of residual tumor. Intraoperative assessment of specimen margins by frozen-section analysis is not widely adopted in breast-conserving surgery. Here, a new approach to wide-field optical imaging of breast pathology in situ was tested to determine whether the system could accurately discriminate cancer from benign tissues before routine pathological processing.

DOI

10.1186/bcr3455

Original Citation

Laughney AM, Krishnaswamy V, Rizzo EJ, Schwab MC, Barth RJ Jr, Cuccia DJ, Tromberg BJ, Paulsen KD, Pogue BW, Wells WA. Spectral discrimination of breast pathologies in situ using spatial frequency domain imaging. Breast Cancer Res. 2013;15(4):R61. doi: 10.1186/bcr3455. PMID: 23915805; PMCID: PMC3979079.

Dartmouth Digital Commons Citation

Laughney, Ashley M.; Krishnaswamy, Venkataramanan; Rizzo, Elizabeth J.; Schwab, Mary C.; Barth, Richard J.; Cuccia, David J.; Tromberg, Bruce J.; Paulsen, Keith D.; Pogue, Brian W.; and Wells, Wendy A., "Spectral Discrimination of Breast Pathologies in Situ Using Spatial Frequency Domain Imaging" (2013). Dartmouth Scholarship. 1611.
https://digitalcommons.dartmouth.edu/facoa/1611