Literature DB >> 19856024

Computer-assisted assessment of hyoid bone motion from videofluoroscopic swallow studies.

Patrick M Kellen1, Darci L Becker, Joseph M Reinhardt, Douglas J Van Daele.   

Abstract

Videofluoroscopic examination of swallowing remains the standard for evaluation of patients with swallowing complaints. Although attempts have been made to objectify aspects of the study, findings from the study are largely subjective and reliant on clinician training and judgment leading to considerable inter-rater variability. We describe a computerized image analysis program designed to objectify one component of the swallow study, the movement of the hyoid bone. Hyoid motion has been shown to be different in dysphagic versus non-dysphagic patients. Reduced hyoid elevation is also considered a risk factor for aspiration; however, there has not been much work done on actually quantifying hyoid motion and associating it with other aspects of the swallow study. The clinician is prompted to define the hyoid bone in a calibration frame, and the system then tracks that region of interest throughout the rest of the study. This system shows strong correlations with manual analysis and can account for head position changes during the study. While the hyoid bone was reported on in this study, other regions of interest within the image field could also be tracked using this technique. A more quantitative analysis such as this has the opportunity to improve the inter-rater reliability of the test and therefore lead to more consistent findings from swallow studies.

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Year:  2009        PMID: 19856024     DOI: 10.1007/s00455-009-9261-9

Source DB:  PubMed          Journal:  Dysphagia        ISSN: 0179-051X            Impact factor:   3.438


  8 in total

1.  Inter- and intrajudge reliability for videofluoroscopic swallowing evaluation measures.

Authors:  G H McCullough; R T Wertz; J C Rosenbek; R H Mills; W G Webb; K B Ross
Journal:  Dysphagia       Date:  2001       Impact factor: 3.438

2.  Computer measurement of oral movement in swallowing.

Authors:  Y Chen; J L Barron; D H Taves; R E Martin
Journal:  Dysphagia       Date:  2001       Impact factor: 3.438

3.  Automatic estimation of orientation and position of spine in digitized X-rays using mathematical morphology.

Authors:  V P Dinesh Kumar; Tessamma Thomas
Journal:  J Digit Imaging       Date:  2005-09       Impact factor: 4.056

4.  Biomechanical correlates of surface electromyography signals obtained during swallowing by healthy adults.

Authors:  Michael A Crary; Giselle D Carnaby Mann; Michael E Groher
Journal:  J Speech Lang Hear Res       Date:  2006-02       Impact factor: 2.297

5.  Image processing in swallowing and speech research.

Authors:  G Dengel; J Robbins; J C Rosenbek
Journal:  Dysphagia       Date:  1991       Impact factor: 3.438

6.  Quantitative assessment of hyoid bone displacement from video images during swallowing.

Authors:  A L Perlman; D J VanDaele; M S Otterbacher
Journal:  J Speech Hear Res       Date:  1995-06

7.  Oropharyngeal dysphagia in esophageal cancer before and after transhiatal esophagectomy.

Authors:  R E Martin; P Letsos; D H Taves; R I Inculet; H Johnston; H G Preiksaitis
Journal:  Dysphagia       Date:  2001       Impact factor: 3.438

8.  Effects of surface electrical stimulation both at rest and during swallowing in chronic pharyngeal Dysphagia.

Authors:  Christy L Ludlow; Ianessa Humbert; Keith Saxon; Christopher Poletto; Barbara Sonies; Lisa Crujido
Journal:  Dysphagia       Date:  2007-01       Impact factor: 3.438

  8 in total
  14 in total

1.  Measurement of hyoid and laryngeal displacement in video fluoroscopic swallowing studies: variability, reliability, and measurement error.

Authors:  Isaac Sia; Pamela Carvajal; Giselle D Carnaby-Mann; Michael A Crary
Journal:  Dysphagia       Date:  2011-07-07       Impact factor: 3.438

2.  A Supporting Platform for Semi-Automatic Hyoid Bone Tracking and Parameter Extraction from Videofluoroscopic Images for the Diagnosis of Dysphagia Patients.

Authors:  Jun Chang Lee; Kyoung Won Nam; Dong Pyo Jang; Nam Jong Paik; Ju Seok Ryu; In Young Kim
Journal:  Dysphagia       Date:  2016-11-17       Impact factor: 3.438

3.  Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning.

Authors:  Zhenwei Zhang; Shitong Mao; James Coyle; Ervin Sejdić
Journal:  Med Image Anal       Date:  2021-08-25       Impact factor: 8.545

Review 4.  Biomechanical analysis of hyoid bone displacement in videofluoroscopy: a systematic review of intervention effects.

Authors:  Jolien G J van der Kruis; Laura W J Baijens; Renée Speyer; Iris Zwijnenberg
Journal:  Dysphagia       Date:  2010-12-17       Impact factor: 3.438

Review 5.  Physiological factors related to aspiration risk: a systematic review.

Authors:  Catriona M Steele; Julie A Y Cichero
Journal:  Dysphagia       Date:  2014-02-23       Impact factor: 3.438

6.  Usefulness of Submental Ultrasonographic Evaluation for Dysphagia Patients.

Authors:  Yoon Soo Lee; Ko Eun Lee; Yeon Kang; Tae Im Yi; Joo Sup Kim
Journal:  Ann Rehabil Med       Date:  2016-04-25

7.  Semi-automatic tracking, smoothing and segmentation of hyoid bone motion from videofluoroscopic swallowing study.

Authors:  Won-Seok Kim; Pengcheng Zeng; Jian Qing Shi; Youngjo Lee; Nam-Jong Paik
Journal:  PLoS One       Date:  2017-11-28       Impact factor: 3.240

8.  Non-invasive quantification of human swallowing using a simple motion tracking system.

Authors:  Hiroaki Hashimoto; Masayuki Hirata; Kazutaka Takahashi; Seiji Kameda; Yuri Katsuta; Fumiaki Yoshida; Noriaki Hattori; Takufumi Yanagisawa; Jason Palmer; Satoru Oshino; Toshiki Yoshimine; Haruhiko Kishima
Journal:  Sci Rep       Date:  2018-03-23       Impact factor: 4.379

9.  Automatic hyoid bone detection in fluoroscopic images using deep learning.

Authors:  Zhenwei Zhang; James L Coyle; Ervin Sejdić
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

10.  Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study.

Authors:  Jong Taek Lee; Eunhee Park; Jong-Moon Hwang; Tae-Du Jung; Donghwi Park
Journal:  Sci Rep       Date:  2020-09-07       Impact factor: 4.379

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