| Literature DB >> 20799832 |
Martin R Austwick1, Benjamin Clark, Charles A Mosse, Kristie Johnson, D Wayne Chicken, Santosh K Somasundaram, Katherine W Calabro, Ying Zhu, Mary Falzon, Gabrijela Kocjan, Tom Fearn, Stephen G Bown, Irving J Bigio, Mohammed R S Keshtgar.
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.Entities:
Mesh:
Year: 2010 PMID: 20799832 PMCID: PMC2917446 DOI: 10.1117/1.3463005
Source DB: PubMed Journal: J Biomed Opt ISSN: 1083-3668 Impact factor: 3.170