Document Type
Article
Publication Date
9-27-2018
Publication Title
Journal of Biomedical Optics
Department
Thayer School of Engineering
Additional Department
Geisel School of Medicine
Abstract
This study aims to determine if light scatter parameters measured with spatial frequency domain imaging (SFDI) can accurately predict stromal, epithelial, and adipose fractions in freshly resected, unstained human breast specimens. An explicit model was developed to predict stromal, epithelial, and adipose fractions as a function of light scattering parameters, which was validated against a quantitative analysis of digitized histology slides for N = 31 specimens using leave-one-out cross-fold validation. Specimen mean stromal, epithelial, and adipose volume fractions predicted from light scattering parameters strongly correlated with those calculated from digitized histology slides (r = 0.90, 0.77, and 0.91, respectively, p-value× 10 - 6). Additionally, the ratio of predicted epithelium to stroma classified malignant specimens with a sensitivity and specificity of 90% and 81%, respectively, and also classified all pixels in malignant lesions with 63% and 79%, at a threshold of 1. All specimens and pixels were classified as malignant, benign, or fat with 84% and 75% accuracy, respectively. These findings demonstrate how light scattering parameters acquired with SFDI can be used to accurately predict and spatially map stromal, epithelial, and adipose proportions in fresh unstained, human breast tissue, and suggest that these estimations could provide diagnostic value.
DOI
10.1117/1.JBO.24.7.071605
Dartmouth Digital Commons Citation
McClatchy, David M.; Rizzo, Elizabeth J.; Wells, Wendy A.; Black, Candice C.; Paulsen, Keith D.; Kanick, Stephen C.; and Pogue, Brian W., "Light Scattering Measured with Spatial Frequency Domain Imaging can Predict Stromal Versus Epithelial Proportions in Surgically Resected Breast Tissue" (2018). Dartmouth Scholarship. 3922.
https://digitalcommons.dartmouth.edu/facoa/3922
