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Head Neck. 2016 Oct;38(10):1545-52. doi: 10.1002/hed.24477. Epub 2016 Apr 21.

Multimodal nonlinear microscopy of head and neck carcinoma - toward surgery assisting frozen section analysis.

Author information

1
Leibniz Institute of Photonic Technology, Jena, Germany.
2
Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University, Jena, Germany.
3
Institute of Pathology, Klinikum Chemnitz, Chemnitz, Germany.
4
Department of Otorhinolaryngology, Jena University Hospital, Jena, Germany.
5
Institute of Pathology, Jena University Hospital, Jena, Germany.
6
Leibniz Institute of Photonic Technology, Jena, Germany. Juergen.Popp@ipht-jena.de.
7
Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University, Jena, Germany. Juergen.Popp@ipht-jena.de.

Abstract

BACKGROUND:

Treatment of early cancer stages is deeply connected to a good prognosis, a moderate reduction of the quality of life, and comparably low treatment costs.

METHODS:

Head and neck squamous cell carcinomas were investigated using the multimodal combination of coherent anti-Stokes Raman scattering (CARS), two-photon excited fluorescence (TPEF), and second-harmonic generation (SHG) microscopy.

RESULTS:

An increased median TPEF to CARS contrast was found comparing cancerous and healthy squamous epithelium with a p value of 1.8·10(-10) . A following comprehensive image analysis was able to predict the diagnosis of imaged tissue sections with an overall accuracy of 90% for a 4-class model.

CONCLUSION:

Nonlinear multimodal imaging is verified objectively as a valuable diagnostic tool that complements conventional staining protocols and can serve as filter in future clinical routine reducing the pathologist's workload. © 2016 Wiley Periodicals, Inc. Head Neck 38: First-1552, 2016.

KEYWORDS:

coherent anti-Stokes Raman scattering (CARS); head and neck cancer imaging; image analysis; nonlinear microscopy; second-harmonic generation (SHG); spectral histopathology; two-photon excited fluorescence (TPEF)

PMID:
27098552
DOI:
10.1002/hed.24477
[Indexed for MEDLINE]

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