Autofluorescence spectroscopy for nerve-sparing laser surgery of the head and neck-the influence of laser-tissue interaction

Standard

Autofluorescence spectroscopy for nerve-sparing laser surgery of the head and neck-the influence of laser-tissue interaction. / Stelzle, Florian; Rohde, Maximilian; Riemann, Max; Oetter, Nicolai; Adler, Werner; Tangermann-Gerk, Katja; Schmidt, Michael; Knipfer, Christian.

in: LASER MED SCI, Jahrgang 32, Nr. 6, 08.2017, S. 1289-1300.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Stelzle, F, Rohde, M, Riemann, M, Oetter, N, Adler, W, Tangermann-Gerk, K, Schmidt, M & Knipfer, C 2017, 'Autofluorescence spectroscopy for nerve-sparing laser surgery of the head and neck-the influence of laser-tissue interaction', LASER MED SCI, Jg. 32, Nr. 6, S. 1289-1300. https://doi.org/10.1007/s10103-017-2240-8

APA

Stelzle, F., Rohde, M., Riemann, M., Oetter, N., Adler, W., Tangermann-Gerk, K., Schmidt, M., & Knipfer, C. (2017). Autofluorescence spectroscopy for nerve-sparing laser surgery of the head and neck-the influence of laser-tissue interaction. LASER MED SCI, 32(6), 1289-1300. https://doi.org/10.1007/s10103-017-2240-8

Vancouver

Bibtex

@article{69971bdcddea4069b258e2378e7b7779,
title = "Autofluorescence spectroscopy for nerve-sparing laser surgery of the head and neck-the influence of laser-tissue interaction",
abstract = "The use of remote optical feedback systems represents a promising approach for minimally invasive, nerve-sparing laser surgery. Autofluorescence properties can be exploited for a fast, robust identification of nervous tissue. With regard to the crucial step towards clinical application, the impact of laser ablation on optical properties in the vicinity of structures of the head and neck has not been investigated up to now. We acquired 24,298 autofluorescence spectra from 135 tissue samples (nine ex vivo tissue types from 15 bisected pig heads) both before and after ER:YAG laser ablation. Sensitivities, specificities, and area under curve(AUC) values for each tissue pair as well as the confusion matrix were statistically calculated for pre-ablation and post-ablation autofluorescence spectra using principal component analysis (PCA), quadratic discriminant analysis (QDA), and receiver operating characteristics (ROC). The confusion matrix indicated a highly successful tissue discrimination rate before laser exposure, with an average classification error of 5.2%. The clinically relevant tissue pairs nerve/cancellous bone and nerve/salivary gland yielded an AUC of 100% each. After laser ablation, tissue discrimination was feasible with an average classification accuracy of 92.1% (average classification error 7.9%). The identification of nerve versus cancellous bone and salivary gland performed very well with an AUC of 100 and 99%, respectively. Nerve-sparing laser surgery in the area of the head and neck by means of an autofluorescence-based feedback system is feasible even after ER-YAG laser-tissue interactions. These results represent a crucial step for the development of a clinically applicable feedback tool for laser surgery interventions in the oral and maxillofacial region.",
keywords = "Animals, Area Under Curve, Discriminant Analysis, Head, Laser Therapy, Lasers, Solid-State, Neck, Organ Sparing Treatments, Organ Specificity, Principal Component Analysis, ROC Curve, Sensitivity and Specificity, Spectrometry, Fluorescence, Sus scrofa, Journal Article",
author = "Florian Stelzle and Maximilian Rohde and Max Riemann and Nicolai Oetter and Werner Adler and Katja Tangermann-Gerk and Michael Schmidt and Christian Knipfer",
year = "2017",
month = aug,
doi = "10.1007/s10103-017-2240-8",
language = "English",
volume = "32",
pages = "1289--1300",
journal = "LASER MED SCI",
issn = "0268-8921",
publisher = "Springer London",
number = "6",

}

RIS

TY - JOUR

T1 - Autofluorescence spectroscopy for nerve-sparing laser surgery of the head and neck-the influence of laser-tissue interaction

AU - Stelzle, Florian

AU - Rohde, Maximilian

AU - Riemann, Max

AU - Oetter, Nicolai

AU - Adler, Werner

AU - Tangermann-Gerk, Katja

AU - Schmidt, Michael

AU - Knipfer, Christian

PY - 2017/8

Y1 - 2017/8

N2 - The use of remote optical feedback systems represents a promising approach for minimally invasive, nerve-sparing laser surgery. Autofluorescence properties can be exploited for a fast, robust identification of nervous tissue. With regard to the crucial step towards clinical application, the impact of laser ablation on optical properties in the vicinity of structures of the head and neck has not been investigated up to now. We acquired 24,298 autofluorescence spectra from 135 tissue samples (nine ex vivo tissue types from 15 bisected pig heads) both before and after ER:YAG laser ablation. Sensitivities, specificities, and area under curve(AUC) values for each tissue pair as well as the confusion matrix were statistically calculated for pre-ablation and post-ablation autofluorescence spectra using principal component analysis (PCA), quadratic discriminant analysis (QDA), and receiver operating characteristics (ROC). The confusion matrix indicated a highly successful tissue discrimination rate before laser exposure, with an average classification error of 5.2%. The clinically relevant tissue pairs nerve/cancellous bone and nerve/salivary gland yielded an AUC of 100% each. After laser ablation, tissue discrimination was feasible with an average classification accuracy of 92.1% (average classification error 7.9%). The identification of nerve versus cancellous bone and salivary gland performed very well with an AUC of 100 and 99%, respectively. Nerve-sparing laser surgery in the area of the head and neck by means of an autofluorescence-based feedback system is feasible even after ER-YAG laser-tissue interactions. These results represent a crucial step for the development of a clinically applicable feedback tool for laser surgery interventions in the oral and maxillofacial region.

AB - The use of remote optical feedback systems represents a promising approach for minimally invasive, nerve-sparing laser surgery. Autofluorescence properties can be exploited for a fast, robust identification of nervous tissue. With regard to the crucial step towards clinical application, the impact of laser ablation on optical properties in the vicinity of structures of the head and neck has not been investigated up to now. We acquired 24,298 autofluorescence spectra from 135 tissue samples (nine ex vivo tissue types from 15 bisected pig heads) both before and after ER:YAG laser ablation. Sensitivities, specificities, and area under curve(AUC) values for each tissue pair as well as the confusion matrix were statistically calculated for pre-ablation and post-ablation autofluorescence spectra using principal component analysis (PCA), quadratic discriminant analysis (QDA), and receiver operating characteristics (ROC). The confusion matrix indicated a highly successful tissue discrimination rate before laser exposure, with an average classification error of 5.2%. The clinically relevant tissue pairs nerve/cancellous bone and nerve/salivary gland yielded an AUC of 100% each. After laser ablation, tissue discrimination was feasible with an average classification accuracy of 92.1% (average classification error 7.9%). The identification of nerve versus cancellous bone and salivary gland performed very well with an AUC of 100 and 99%, respectively. Nerve-sparing laser surgery in the area of the head and neck by means of an autofluorescence-based feedback system is feasible even after ER-YAG laser-tissue interactions. These results represent a crucial step for the development of a clinically applicable feedback tool for laser surgery interventions in the oral and maxillofacial region.

KW - Animals

KW - Area Under Curve

KW - Discriminant Analysis

KW - Head

KW - Laser Therapy

KW - Lasers, Solid-State

KW - Neck

KW - Organ Sparing Treatments

KW - Organ Specificity

KW - Principal Component Analysis

KW - ROC Curve

KW - Sensitivity and Specificity

KW - Spectrometry, Fluorescence

KW - Sus scrofa

KW - Journal Article

U2 - 10.1007/s10103-017-2240-8

DO - 10.1007/s10103-017-2240-8

M3 - SCORING: Journal article

C2 - 28551764

VL - 32

SP - 1289

EP - 1300

JO - LASER MED SCI

JF - LASER MED SCI

SN - 0268-8921

IS - 6

ER -