PMID- 32419103
OWN - NLM
STAT- MEDLINE
DCOM- 20211124
LR  - 20211124
IS  - 1432-0460 (Electronic)
IS  - 0179-051X (Print)
IS  - 0179-051X (Linking)
VI  - 36
IP  - 2
DP  - 2021 Apr
TI  - Tracking Hyoid Bone Displacement During Swallowing Without Videofluoroscopy Using 
      Machine Learning of Vibratory Signals.
PG  - 259-269
LID - 10.1007/s00455-020-10124-z [doi]
AB  - Identifying physiological impairments of swallowing is essential for determining 
      accurate diagnosis and appropriate treatment for patients with dysphagia. The 
      hyoid bone is an anatomical landmark commonly monitored during analysis of 
      videofluoroscopic swallow studies (VFSSs). Its displacement is predictive of 
      penetration/aspiration and is associated with other swallow kinematic events. 
      However, VFSSs are not always readily available/feasible and expose patients to 
      radiation. High-resolution cervical auscultation (HRCA), which uses acoustic and 
      vibratory signals from a microphone and tri-axial accelerometer, is under 
      investigation as a non-invasive dysphagia screening method and potential adjunct 
      to VFSS when it is unavailable or not feasible. We investigated the ability of 
      HRCA to independently track hyoid bone displacement during swallowing with 
      similar accuracy to VFSS, by analyzing vibratory signals from a tri-axial 
      accelerometer using machine learning techniques. We hypothesized HRCA would track 
      hyoid bone displacement with a high degree of accuracy compared to humans. 
      Trained judges completed frame-by-frame analysis of hyoid bone displacement on 
      400 swallows from 114 patients and 48 swallows from 16 age-matched healthy 
      adults. Extracted features from vibratory signals were used to train the 
      predictive algorithm to generate a bounding box surrounding the hyoid body on 
      each frame. A metric of relative overlapped percentage (ROP) compared human and 
      machine ratings. The mean ROP for all swallows analyzed was 50.75%, indicating 
      > 50% of the bounding box containing the hyoid bone was accurately predicted in 
      every frame. This provides evidence of the feasibility of accurate, automated 
      hyoid bone displacement tracking using HRCA signals without use of VFSS images.
FAU - Donohue, Cara
AU  - Donohue C
AUID- ORCID: 0000-0002-5546-6081
AD  - Department of Communication Science and Disorders, School of Health and 
      Rehabilitation Sciences, University of Pittsburgh, 6035 Forbes Tower, Pittsburgh, 
      PA, 15260, USA.
FAU - Mao, Shitong
AU  - Mao S
AD  - Department of Electrical and Computer Engineering, Swanson School of Engineering, 
      Department of Bioengineering, Swanson School of Engineering, Department of 
      Biomedical Informatics, School of Medicine Intelligent Systems Program, School of 
      Computing and Information, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
FAU - Sejdic, Ervin
AU  - Sejdic E
AD  - Department of Electrical and Computer Engineering, Swanson School of Engineering, 
      Department of Bioengineering, Swanson School of Engineering, Department of 
      Biomedical Informatics, School of Medicine Intelligent Systems Program, School of 
      Computing and Information, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
FAU - Coyle, James L
AU  - Coyle JL
AD  - Department of Communication Science and Disorders, School of Health and 
      Rehabilitation Sciences, University of Pittsburgh, 6035 Forbes Tower, Pittsburgh, 
      PA, 15260, USA. jcoyle@pitt.edu.
LA  - eng
GR  - R01 HD074819/HD/NICHD NIH HHS/United States
GR  - R01 HD092239/HD/NICHD NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20200517
PL  - United States
TA  - Dysphagia
JT  - Dysphagia
JID - 8610856
SB  - IM
MH  - Adult
MH  - Cineradiography
MH  - *Deglutition
MH  - *Deglutition Disorders/diagnostic imaging
MH  - Humans
MH  - Hyoid Bone/diagnostic imaging
MH  - Machine Learning
PMC - PMC7669608
MID - NIHMS1626843
OTO - NOTNLM
OT  - Cervical auscultation
OT  - Deglutition
OT  - Deglutition disorders
OT  - Dysphagia
OT  - Hyoid bone
OT  - Machine learning
OT  - Swallow screening
OT  - Videofluoroscopy
EDAT- 2020/05/19 06:00
MHDA- 2021/11/25 06:00
PMCR- 2021/04/01
CRDT- 2020/05/19 06:00
PHST- 2019/09/29 00:00 [received]
PHST- 2020/04/29 00:00 [accepted]
PHST- 2020/05/19 06:00 [pubmed]
PHST- 2021/11/25 06:00 [medline]
PHST- 2020/05/19 06:00 [entrez]
PHST- 2021/04/01 00:00 [pmc-release]
AID - 10.1007/s00455-020-10124-z [pii]
AID - 10.1007/s00455-020-10124-z [doi]
PST - ppublish
SO  - Dysphagia. 2021 Apr;36(2):259-269. doi: 10.1007/s00455-020-10124-z. Epub 2020 May 
      17.