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Sensors 2013, 13(10), 13717-13731; doi:10.3390/s131013717
Article

Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery

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Received: 15 July 2013; Accepted: 27 September 2013 / Published: 11 October 2013
(This article belongs to the Section Physical Sensors)
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Abstract: Laser surgery provides a number of advantages over conventional surgery. However, it implies large risks for sensitive tissue structures due to its characteristic non-tissue-specific ablation. The present study investigates the discrimination of nine different ex vivo tissue types by using uncorrected (raw) autofluorescence spectra for the development of a remote feedback control system for tissue-selective laser surgery. Autofluorescence spectra (excitation wavelength 377 ± 50 nm) were measured from nine different ex vivo tissue types, obtained from 15 domestic pig cadavers. For data analysis, a wavelength range between 450 nm and 650 nm was investigated. Principal Component Analysis (PCA) and Quadratic Discriminant Analysis (QDA) were used to discriminate the tissue types. ROC analysis showed that PCA, followed by QDA, could differentiate all investigated tissue types with AUC results between 1.00 and 0.97. Sensitivity reached values between 93% and 100% and specificity values between 94% and 100%. This ex vivo study shows a high differentiation potential for physiological tissue types when performing autofluorescence spectroscopy followed by PCA and QDA. The uncorrected autofluorescence spectra are suitable for reliable tissue discrimination and have a high potential to meet the challenges necessary for an optical feedback system for tissue-specific laser surgery.
Keywords: autofluorescence; fluorescence; laser ablation; laser surgery guidance; remote optical measurement; remote surgical methods; spectra analysis autofluorescence; fluorescence; laser ablation; laser surgery guidance; remote optical measurement; remote surgical methods; spectra analysis
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Stelzle, F.; Knipfer, C.; Adler, W.; Rohde, M.; Oetter, N.; Nkenke, E.; Schmidt, M.; Tangermann-Gerk, K. Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery. Sensors 2013, 13, 13717-13731.

AMA Style

Stelzle F, Knipfer C, Adler W, Rohde M, Oetter N, Nkenke E, Schmidt M, Tangermann-Gerk K. Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery. Sensors. 2013; 13(10):13717-13731.

Chicago/Turabian Style

Stelzle, Florian; Knipfer, Christian; Adler, Werner; Rohde, Maximilian; Oetter, Nicolai; Nkenke, Emeka; Schmidt, Michael; Tangermann-Gerk, Katja. 2013. "Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery." Sensors 13, no. 10: 13717-13731.


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