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26 February 2010 Assessment of breast tumor margins via quantitative diffuse reflectance imaging
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Abstract
A particular application of interest for tissue reflectance spectroscopy in the UV-Visible is intraoperative detection of residual cancer at the margins of excised breast tumors, which could prevent costly and unnecessary repeat surgeries. Our multi-disciplinary group has developed an optical imaging device, which is capable of surveying the entire specimen surface down to a depth of 1-2mm, all within a short time as required for intraoperative use. In an IRB-approved study, reflectance spectral images were acquired from 54 margins in 48 patients. Conversion of the spectral images to quantitative tissue parameter maps was facilitated by a fast scalable inverse Monte-Carlo model. Data from margin parameter images were reduced to image-descriptive scalar values and compared to gold-standard margin pathology. The utility of the device for classification of margins was determined via the use of a conditional inference tree modeling approach, and was assessed both as a function of type of disease present at the margin, as well as a function of distance of disease from the issue surface. Additionally, the influence of breast density on the diagnostic parameters, as well as the accuracy of the device, was evaluated.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Quincy Brown, Torre M. Bydlon, Stephanie A. Kennedy, Joseph Geradts, Lee G. Wilke, William Barry, Lisa M. Richards, Marlee K. Junker, Jennifer Gallagher, and Nimmi Ramanujam "Assessment of breast tumor margins via quantitative diffuse reflectance imaging", Proc. SPIE 7573, Biomedical Applications of Light Scattering IV, 75730O (26 February 2010); https://doi.org/10.1117/12.841949
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