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Nerve detection with optical spectroscopy for regional anesthesia procedures

Overview of attention for article published in Journal of Translational Medicine, December 2015
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Title
Nerve detection with optical spectroscopy for regional anesthesia procedures
Published in
Journal of Translational Medicine, December 2015
DOI 10.1186/s12967-015-0739-y
Pubmed ID
Authors

Benno H. W. Hendriks, Andrea J. R. Balthasar, Gerald W. Lucassen, Marjolein van der Voort, Manfred Mueller, Vishnu V. Pully, Torre M. Bydlon, Christian Reich, Arnold T. M. H. van Keersop, Jeroen Kortsmit, Gerrit C. Langhout, Geert-Jan van Geffen

Abstract

Regional anesthesia has several advantages over general anesthesia but requires accurate needle placement to be effective. To achieve accurate placement, a needle equipped with optical fibers that allows tissue discrimination at the needle tip based on optical spectroscopy is proposed. This study investigates the sensitivity and specificity with which this optical needle can discriminate nerves from the surrounding tissues making use of different classification methods. Diffuse reflectance spectra were acquired from 1563 different locations from 19 human cadavers in the wavelength range of 400-1710 nm; measured tissue types included fascicular tissue of the nerve, muscle, sliding fat and subcutaneous fat. Physiological parameters of the tissues were derived from the measured spectra and part of the data was directly compared to histology. Various classification methods were then applied to the derived parameter dataset to determine the accuracy with which fascicular tissue of the nerve can be discriminated from the surrounding tissues. From the parameters determined from the measured spectra of the various tissues surrounding the nerve, fat content, blood content, beta-carotene content and scattering were most distinctive when comparing fascicular and non-fascicular tissue. Support Vector Machine classification with a combination of feature selections performed best in discriminating fascicular nerve tissue from the surrounding tissues with a sensitivity and specificity around 90 %. This study showed that spectral tissue sensing, based on diffuse reflectance spectroscopy at the needle tip, is a promising technique to discriminate fascicular tissue of the nerve from the surrounding tissues. The technique may therefore improve accurate needle placement near the nerve which is necessary for effective nerve blocks in regional anesthesia.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Researcher 4 10%
Student > Bachelor 4 10%
Other 3 7%
Professor > Associate Professor 3 7%
Other 8 19%
Unknown 8 19%
Readers by discipline Count As %
Engineering 10 24%
Medicine and Dentistry 7 17%
Agricultural and Biological Sciences 3 7%
Computer Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 8 19%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2015.
All research outputs
#20,298,249
of 22,835,198 outputs
Outputs from Journal of Translational Medicine
#3,314
of 3,995 outputs
Outputs of similar age
#327,472
of 390,235 outputs
Outputs of similar age from Journal of Translational Medicine
#73
of 76 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.