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(searched for: A-Novel-Imaging-Analysis-Method-for-Capturing-Pharyngeal-Constriction-During-Swallowing)
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Ryan W. Schwertner, Kendrea L. Garand, Sciprofile linkWilliam Pearson
Published: 25 August 2016
Journal of Clinical Imaging Science, Volume 1

Abstract: Videofluoroscopic
imaging
of
swallowing
known as the Modified Barium Study (MBS) is the standard of care
for
assessing
swallowing
difficulty. While the clinical purpose of this radiographic
imaging
is to primarily assess aspiration risk, valuable biomechanical data is embedded in these studies. Computational
analysis
of
swallowing
mechanics (CASM) is an established research methodology
for
assessing multiple interactions of
swallowing
mechanics based on coordinates mapping muscle function including hyolaryngeal movement,
pharyngeal
shortening, tongue base retraction, and extension of the head and neck, however coordinates characterizing
pharyngeal
constriction
is undeveloped. The aim of this study was to establish
a
method
for
locating the superior and middle
pharyngeal
constrictors using hard landmarks as guides on MBS videofluoroscopic
imaging
, and to test the reliability of this new
method
. Twenty de-identified, normal, MBS videos were randomly selected from
a
database. Two raters annotated landmarks
for
the superior and middle
pharyngeal
constrictors frame-by-frame using
a
semi-automated MATLAB tracker tool at two time points. Intraclass correlation coefficients were used to assess test-retest reliability between two raters with an ICC = 0.99 or greater
for
all coordinates
for
the retest measurement. MorphoJ integrated software was used to perform
a
discriminate function
analysis
to visualize how all 12 coordinates interact with each other in normal
swallowing
. The addition of the superior and middle
pharyngeal
constrictor coordinates to CASM allows
for
a
robust
analysis
of the multiple components of
swallowing
mechanics interacting with
a
wide range of variables in both patient specific and cohort studies derived from common use
imaging
data.
William G Pearson, Ryan W. Schwertner, Kendrea L. Garand, Ryan W. Schwertner1, Kendrea L. Garand2, William G. Pearson Jr1, Ommega Internationals
Journal of Bioinformatics and Proteomics Review, Volume 2, pp 92-97; doi:10.15436/2381-0793.16.974

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