TY - JOUR
T1 - Feasibility of confocal fluorescence microscopy for real-time evaluation of neoplasia in fresh human breast tissue
AU - Dobbs, Jessica L.
AU - Ding, Hao
AU - Benveniste, Ana Paula
AU - Kuerer, Henry M.
AU - Krishnamurthy, Savitri
AU - Yang, Wei
AU - Richards-Kortum, Rebecca
N1 - Funding Information:
The authors would like to thank Constance Albarracin, M.D., Lei Huo, M.D., Savitri Krishnamurthy, M.D., Xioxian Li, M.D., Andrew Sholl, M.D., Michelle Williams, M.D., and Yun Wu, M.D. for their assistance with image review. This work was supported by Department of Defense Synergistic Award W81XWH-08-1-0712, Department of Defense Era of Hope Award W81XWH-09-1-0410, and Susan G. Komen Breast Cancer Foundation KG091020. This work was also supported in part by The State of Texas Grant for Rare and Aggressive Cancers through the Morgan Welch Inflammatory Breast Cancer Research Program.
PY - 2013/10
Y1 - 2013/10
N2 - Breast cancer management could be improved by developing real-time imaging tools to assess tissue architecture without extensive processing. We sought to determine whether confocal fluorescence microscopy (CFM) provides sufficient information to identify neoplasia in breast tissue. Breast tissue specimens were imaged following proflavine application. Regions of interest (ROIs) were selected in histologic slides and in the corresponding region on confocal images, and then divided into sets for training and validation. Readers reviewed images in the training set and evaluated images in the validation set for the presence of neoplasia. Accuracy was assessed using histologic diagnosis as the gold standard. Seventy tissue specimens from 31 patients were imaged; 235 ROIs were identified and diagnosed as neoplastic or non-neoplastic. A training set was assembled using 23 matched ROIs; 49 matched ROIs were assembled into a validation set. Neoplasia was identified in histologic images: 93% sensitivity, 97% specificity [area under the curve (AUC = 0.987)] and in confocal images: 93% sensitivity 93% specificity (AUC = 0.957). CFM produced images of architectural features in breast tissue comparable with conventional histology, while requiring little processing. Potential applications include assessment of excised tissue margins and evaluation of tissue adequacy for bio-banking and genomic studies.
AB - Breast cancer management could be improved by developing real-time imaging tools to assess tissue architecture without extensive processing. We sought to determine whether confocal fluorescence microscopy (CFM) provides sufficient information to identify neoplasia in breast tissue. Breast tissue specimens were imaged following proflavine application. Regions of interest (ROIs) were selected in histologic slides and in the corresponding region on confocal images, and then divided into sets for training and validation. Readers reviewed images in the training set and evaluated images in the validation set for the presence of neoplasia. Accuracy was assessed using histologic diagnosis as the gold standard. Seventy tissue specimens from 31 patients were imaged; 235 ROIs were identified and diagnosed as neoplastic or non-neoplastic. A training set was assembled using 23 matched ROIs; 49 matched ROIs were assembled into a validation set. Neoplasia was identified in histologic images: 93% sensitivity, 97% specificity [area under the curve (AUC = 0.987)] and in confocal images: 93% sensitivity 93% specificity (AUC = 0.957). CFM produced images of architectural features in breast tissue comparable with conventional histology, while requiring little processing. Potential applications include assessment of excised tissue margins and evaluation of tissue adequacy for bio-banking and genomic studies.
KW - breast cancer
KW - confocal fluorescence microscopy
KW - optical imaging
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U2 - 10.1117/1.JBO.18.10.106016
DO - 10.1117/1.JBO.18.10.106016
M3 - Article
C2 - 24165742
AN - SCOPUS:84892652795
SN - 1083-3668
VL - 18
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
IS - 10
M1 - 106016
ER -