Abstract
Introduction
The sharpness of lateral peaks is a visually helpful clinical feature in high-speed
videokymographic (VKG) images indicating vertical phase differences and mucosal waves
on the vibrating vocal folds and giving insights into the health and pliability of
vocal fold mucosa. This study aims at investigating parameters that can be helpful
in objectively quantifying the lateral peak sharpness from the VKG images.
Method
Forty-five clinical VKG images with different degrees of sharpness of lateral peaks
were independently evaluated visually by three raters. The ratings were compared to
parameters obtained by automatic image analysis of the vocal fold contours: Open Time Percentage Quotients (OTQ) and Plateau Quotients (PQ). The OTQ parameters were derived as fractions of the period during which the
vocal fold displacement exceeds a predetermined percentage of the vibratory amplitude.
The PQ parameters were derived similarly but as a fraction of the open phase instead
of a period.
Results
The best correspondence between the visual ratings and the automatically derived quotients
were found for the OTQ and PQ parameters derived at 95% and 80% of the amplitude,
named OTQ95, PQ95, OTQ80 and PQ80. Their Spearman's rank correlation coefficients were in the range of 0.73 to 0.77
(P < 0.001) indicating strong relationships with the visual ratings. The strengths of
these correlations were similar to those found from inter-rater comparisons of visual
evaluations of peak sharpness.
Conclusion
The Open time percentage and Plateau quotients at 95% and 80% of the amplitude stood
out as the possible candidates for capturing the sharpness of the lateral peaks with
their reliability comparable to that of visual ratings.
Key Words
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Article info
Publication history
Published online: October 10, 2018
Accepted:
August 30,
2018
Footnotes
A part of the work was presented at the Voice Foundation's 47th Annual Symposium – Care of the Professional Voice, May 30-June 3, 2018, Philadelphia, USA. At this symposium S.P.K. received the Hamdan International Presenter Award 2018 and Sataloff New Investigator Award 2018 for this work. The research of the authors was supported by Technological Agency of the Czech Republic project no. TA04010877 (2014-2017) and the Czech Science Foundation (GA CR) project no. GA16-01246S (2016-2018). S. P. K. thanks Sri Sivasubramaniya Nadar (SSN) College of Engineering, Kalavakkam, India, for granting the leave of absence during his sabbatical stay (2016-2018) at Palacký University in Olomouc, Czech Republic.
Identification
Copyright
© 2018 The Voice Foundation. Published by Elsevier Inc. All rights reserved.
