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Publication Detail
Scanning elastic scattering spectroscopy detects metastatic breast cancer in sentinel lymph nodes.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Journal Article
  • Authors:
    Austwick MR, Clark B, Mosse CA, Johnson K, Chicken DW, Somasundaram SK, Calabro KW, Zhu Y, Falzon M, Kocjan G, Fearn T, Bown SG, Bigio IJ, Keshtgar MRS
  • Publication date:
    07/2010
  • Pagination:
    047001, ?
  • Journal:
    J Biomed Opt
  • Volume:
    15
  • Issue:
    4
  • Status:
    Published
  • Country:
    United States
  • Language:
    eng
  • Keywords:
    Algorithms, Breast Neoplasms, Carcinoma, Diagnosis, Computer-Assisted, Elasticity Imaging Techniques, Female, Humans, Light, Lymphatic Metastasis, Reproducibility of Results, Scattering, Radiation, Sensitivity and Specificity, Sentinel Lymph Node Biopsy, Spectrum Analysis
Abstract
A novel method for rapidly detecting metastatic breast cancer within excised sentinel lymph node(s) of the axilla is presented. Elastic scattering spectroscopy (ESS) is a point-contact technique that collects broadband optical spectra sensitive to absorption and scattering within the tissue. A statistical discrimination algorithm was generated from a training set of nearly 3000 clinical spectra and used to test clinical spectra collected from an independent set of nodes. Freshly excised nodes were bivalved and mounted under a fiber-optic plate. Stepper motors raster-scanned a fiber-optic probe over the plate to interrogate the node's cut surface, creating a 20x20 grid of spectra. These spectra were analyzed to create a map of cancer risk across the node surface. Rules were developed to convert these maps to a prediction for the presence of cancer in the node. Using these analyses, a leave-one-out cross-validation to optimize discrimination parameters on 128 scanned nodes gave a sensitivity of 69% for detection of clinically relevant metastases (71% for macrometastases) and a specificity of 96%, comparable to literature results for touch imprint cytology, a standard technique for intraoperative diagnosis. ESS has the advantage of not requiring a pathologist to review the tissue sample.
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