NDLI: Quantitative spectral reflectance imaging device for intraoperative breast tumor margin assessment

Content Provider	IEEE Xplore Digital Library
Author	Ramanujam, N. Brown, J.Q. Bydlon, T.M. Kennedy, S.A. Richards, L.M. Junker, M.K. Gallagher, J. Barry, W.T. Wilke, L.G. Geradts, J.
Copyright Year	2009
Description	Author affiliation: Biomedical Engineering Dept. at Duke University (Ramanujam, N.)
Abstract	Diffuse reflectance spectroscopy of tissue allows quantification of underlying physiological and morphological changes associated with cancer, provided that the absorption and scattering properties of the tissue can be effectively decoupled. A particular application of interest for tissue reflectance spectroscopy in the UV-VIS 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 employs a model-based algorithm for quantification of tissue optical properties, and is capable of surveying the entire specimen surface down to a depth of 1-2 mm, all within a short time as required for intraoperative use. In an ongoing IRB-approved study, reflectance spectral images were acquired from 55 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. Use of a decision-tree based classification algorithm on the two most significant optical parameters resulted in a sensitivity of 79% and specificity of 67% for detection of residual tumor of all pathologic variants, with an 89% sensitivity for ductal carcinoma in situ alone. Preliminary data from this ongoing clinical study suggest that this technology could significantly reduce the number of unnecessary repeat breast conserving surgeries annually.
Starting Page	6554
Ending Page	6556
File Size	459458
Page Count	3
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334501
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reflectivity Breast tumors Optical scattering Optical imaging Spectroscopy Cancer Surges Biomedical optical imaging Optical sensors Absorption
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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