Tissue discrimination by uncorrected autofluorescence spectra: A proof-of-principle study for tissue-specific laser surgery

Stelzle F, Knipfer C, Adler W, Rohde M, Oetter N, Nkenke E, Schmidt M, Tangermann-Gerk K (2013)

Publication Type: Journal article

Publication year: 2013

Journal

Sensors MDPI

Book Volume: 13

Pages Range: 13717-13731

Journal Issue: 10

DOI: 10.3390/s131013717

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. © 2013 by the authors; licensee MDPI, Basel, Switzerland.

Authors with CRIS profile

Florian Stelzle Department of Oral and Cranio-Maxillofacial Surgery Werner Adler Lehrstuhl für Biometrie und Epidemiologie Maximilian Rohde Department of Oral and Cranio-Maxillofacial Surgery Nicolai Oetter Department of Oral and Cranio-Maxillofacial Surgery Michael Schmidt Lehrstuhl für Photonische Technologien

Additional Organisation(s)

Lehrstuhl für Photonische Technologien

Involved external institutions

Bayerisches Laserzentrum gemeinnützige Forschungsgesellschaft mbH (BLZ) DE Germany (DE)

How to cite

APA:

Stelzle, F., Knipfer, C., Adler, W., Rohde, M., Oetter, N., Nkenke, E.,... Tangermann-Gerk, K. (2013). Tissue discrimination by uncorrected autofluorescence spectra: A proof-of-principle study for tissue-specific laser surgery. Sensors, 13(10), 13717-13731. https://doi.org/10.3390/s131013717

MLA:

Stelzle, Florian, et al. "Tissue discrimination by uncorrected autofluorescence spectra: A proof-of-principle study for tissue-specific laser surgery." Sensors 13.10 (2013): 13717-13731.

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