Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery
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 uncorrect...
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-10-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/13/10/13717 |
| _version_ | 1811305378440282112 |
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| author | Katja Tangermann-Gerk Michael Schmidt Nicolai Oetter Emeka Nkenke Maximilian Rohde Christian Knipfer Werner Adler Florian Stelzle |
| author_facet | Katja Tangermann-Gerk Michael Schmidt Nicolai Oetter Emeka Nkenke Maximilian Rohde Christian Knipfer Werner Adler Florian Stelzle |
| author_sort | Katja Tangermann-Gerk |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T08:24:18Z |
| format | Article |
| id | doaj.art-2310dcde631d4adb8c6df4f740182cb6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:24:18Z |
| publishDate | 2013-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2310dcde631d4adb8c6df4f740182cb62022-12-22T02:54:31ZengMDPI AGSensors1424-82202013-10-011310137171373110.3390/s131013717Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser SurgeryKatja Tangermann-GerkMichael SchmidtNicolai OetterEmeka NkenkeMaximilian RohdeChristian KnipferWerner AdlerFlorian StelzleLaser 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.http://www.mdpi.com/1424-8220/13/10/13717autofluorescencefluorescencelaser ablationlaser surgery guidanceremote optical measurementremote surgical methodsspectra analysis |
| spellingShingle | Katja Tangermann-Gerk Michael Schmidt Nicolai Oetter Emeka Nkenke Maximilian Rohde Christian Knipfer Werner Adler Florian Stelzle Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery Sensors autofluorescence fluorescence laser ablation laser surgery guidance remote optical measurement remote surgical methods spectra analysis |
| title | Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery |
| title_full | Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery |
| title_fullStr | Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery |
| title_full_unstemmed | Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery |
| title_short | Tissue Discrimination by Uncorrected Autofluorescence Spectra: A Proof-of-Principle Study for Tissue-Specific Laser Surgery |
| title_sort | tissue discrimination by uncorrected autofluorescence spectra a proof of principle study for tissue specific laser surgery |
| topic | autofluorescence fluorescence laser ablation laser surgery guidance remote optical measurement remote surgical methods spectra analysis |
| url | http://www.mdpi.com/1424-8220/13/10/13717 |
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