Research Papers: Sensing

Evaluation of Raman spectroscopic macro raster scans of native cervical cone biopsies using histopathological mapping

[+] Author Affiliations
Carina Reble

Laser- und Medizin-Technologie GmbH, Berlin (LMTB), Fabeckstraße 60-62, 14195 Berlin

Technical University Berlin, Institute for Optics and Atomic Physics, 10587 Berlin

Ingo Gersonde

Laser- und Medizin-Technologie GmbH, Berlin (LMTB), Fabeckstraße 60-62, 14195 Berlin

Cathrin Dressler

Laser- und Medizin-Technologie GmbH, Berlin (LMTB), Fabeckstraße 60-62, 14195 Berlin

Jürgen Helfmann

Laser- und Medizin-Technologie GmbH, Berlin (LMTB), Fabeckstraße 60-62, 14195 Berlin

Wolfgang Kühn

Gyn-Zentrum-Berlin, Albrechtstraße 48, 12167 Berlin

Klinik für Gynäkologie, Charité Universitätsmedizin Berlin, Hindenburgdamm 30, 12200 Berlin

Hans Joachim Eichler

Laser- und Medizin-Technologie GmbH, Berlin (LMTB), Fabeckstraße 60-62, 14195 Berlin

Technical University Berlin, Institute for Optics and Atomic Physics, 10587 Berlin

J. Biomed. Opt. 19(2), 027007 (Feb 18, 2014). doi:10.1117/1.JBO.19.2.027007
History: Received August 6, 2013; Revised January 12, 2014; Accepted January 15, 2014
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Abstract.  Raman spectroscopy based discrimination of cervical precancer and normal tissue has been shown previously in vivo with fiber probe based measurements of colposcopically selected sites. With a view to developing in vivo large area imaging, macro raster scans of native cervical cone biopsies with an average of 200 spectra per sample are implemented (n=16). The diagnostic performance is evaluated using histopathological mapping of the cervix surface. Different data reduction and classification methods (principal component analysis, wavelets, k-nearest neighbors, logistic regression, partial least squares discriminant analysis) are compared. Using bootstrapping to estimate confidence intervals for sensitivity and specificity, it is concluded that differences among different spectra classification procedures are not significant. The classification performance is evaluated depending on the tissue pathologies included in the analysis using the average performance of different classification procedures. The highest sensitivity (89%) and specificity (86%) is obtained for the discrimination of normal squamous epithelium and high-grade precancer. When other non-high-grade tissue sites, such as columnar epithelium, metaplasia, and inflammation, are included, the diagnostic performance decreases.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Carina Reble ; Ingo Gersonde ; Cathrin Dressler ; Jürgen Helfmann ; Wolfgang Kühn, et al.
"Evaluation of Raman spectroscopic macro raster scans of native cervical cone biopsies using histopathological mapping", J. Biomed. Opt. 19(2), 027007 (Feb 18, 2014). ; http://dx.doi.org/10.1117/1.JBO.19.2.027007


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