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1 March 2009 Rapid identification of anterior and posterior root of cauda equina nerves by near-infrared diffuse reflectance spectroscopy
Shaofei Xie, BingRen Xiang, ShouShan Bu, Xiaojian Cao, Ye Ye, Jun Lu, Haishan Deng
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Journal of Biomedical Optics, Vol. 14, Issue 2, 024005 (March 2009). https://doi.org/10.1117/1.3086611
Abstract
A new rapid chemometric method has been developed to identify the anterior and posterior roots of cauda equina nerves by near-infrared (NIR) diffuse reflectance spectroscopy. NIR spectra of nerves were measured using a Fourier transform NIR spectrometer equipped with a fiber-optic probe. The result revealed no observable difference in the spectra between the anterior and posterior root samples, but the two roots could be identified by cluster analysis based on the differences of their spectral features. The overall accuracy of the cluster analysis model was 87.5%, and the accuracy for the actual anterior root and actual posterior root were 95% and 80%, respectively. The result suggested that NIR spectroscopy in combination with the chemometrics method (cluster analysis) could be used to classify the anterior and posterior roots of cauda equina nerves. The proposed method required only a few minutes, while classical methods commonly required at least one hour. It was demonstrated that the new method could provide a rapid, correct, nondestructive and low-cost potential means to quickly differentiate anterior and posterior roots in mixed cauda equina nerves, which would be helpful for surgeons to align nerve stumps correctly.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
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Shaofei Xie, BingRen Xiang, ShouShan Bu, Xiaojian Cao, Ye Ye, Jun Lu, and Haishan Deng "Rapid identification of anterior and posterior root of cauda equina nerves by near-infrared diffuse reflectance spectroscopy," Journal of Biomedical Optics 14(2), 024005 (1 March 2009). https://doi.org/10.1117/1.3086611
Published: 1 March 2009
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Cited by 7 scholarly publications.
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KEYWORDS
Near infrared
Near infrared spectroscopy
Nerve
Spectroscopy
Chemical analysis
Statistical analysis
Sensors
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