Near-infrared raman spectroscopy for in vitro and in vivo detection of cervical precancers

Early diagnosis of cervical precancer is an important clinical goal. Optical spectroscopy has been suggested as a new technique to overcome limitations of current clinical practice. Herein, NIR Raman spectroscopy is applied to the diagnosis of cervical precancers. Using algorithms based on empirically selected peak intensities, ratios of peak intensities and a combination of Principal Component Analysis (PCA) for data reduction and Fisher Discriminant Analysis (FDA), normal tissues, inflammation and metaplasia were distinguishable from low grade and high grade precancers. The primary contributors to the tissue spectra appear to be collagen, nucleic acids, phospholipids and glucose 1-phosphate. These results suggest that near infrared Raman spectroscopy can be used effectively for cervical precancer diagnosis.Board of Regents, University of Texas Syste