Epithelial and Stromal Spectral Imaging for Rapid Surgical Margin Analysis
Abstract
A new, scanning beam spectroscopy platform was developed to dramatically improved image acquisition speed of localized light scattering. The new scanning in situ spectroscopy platform samples broadband reflectance from a 150 microns diameter spot over a 1 sq cm field using a dark field geometry and telecentric lens; the system was designed to balance sensitivity to stromal and epithelial distributions, while sufficiently imaging the inherent diversity within a diagnosis. The diagnostic performance of this new imaging system was tested in 29 tissues procured during breast conservative surgery. Nearly 300,000 broadband spectra were parameterized using light scattering models and spatially dependent spectra signatures were interpreted using co-occurrence matrix representation of image texture. Local scattering changes distinguished benign from malignant pathologies with 94% accuracy, 85% sensitivity, 100% specificity, and 100% positive & 90% negative predictive value, using a threshold-based classifier. Texture and shape features offered unique information about scattering ultra-structures, and suggest a potential contrast mechanism for ductal carcinoma in situ. Images of localized scattering readily identify benign and malignant pathologies in resected specimens and offer new spectral-spatial signatures of clinically relevant breast pathologies.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2012
- Accession Number
- ADA560603
Entities
People
- Ashley M Laughney
- Brian W Pogue
- Keith Paulsen
- Venkataramanan Krishnaswamy
Organizations
- Dartmouth College