Journal article
Classification of High-Resolution Manometry Data According to Videofluoroscopic Parameters Using Pattern Recognition
Otolaryngology-head and neck surgery, Vol.149(1), pp.126-133
07/01/2013
DOI: 10.1177/0194599813489506
PMCID: PMC3823556
PMID: 23728150
Abstract
Objective To determine if pattern recognition techniques applied to high-resolution manometry (HRM) spatiotemporal plots of the pharyngeal swallow can identify features of disordered swallowing reported on the Modified Barium Swallow Impairment Profile (MBSImP).
Study Design Case series evaluating new method of data analysis.
Setting University hospital.
Subjects and Methods Simultaneous HRM and videofluoroscopy was performed on 30 subjects (335 swallows) with dysphagia. Videofluoroscopic studies were scored according to the MBSImP guidelines while HRM plots were analyzed using a novel program. Pattern recognition using a multilayer perceptron artificial neural network (ANN) was performed to determine if 7 pharyngeal components of the MBSImP as well as penetration/aspiration status could be identified from the HRM plot alone. Receiver operating characteristic (ROC) analysis was also performed.
Results MBSImP parameters were identified correctly as normal or disordered at an average rate of approximately 91% (area under the ROC curve ranged from 0.902 to 0.981). Classifications incorporating two MBSImP parameters resulted in classification accuracies over 93% (area under the ROC curve ranged from 0.963 to 0.989).
Conclusion Pattern recognition coupled with multiparameter quantitative analysis of HRM spatiotemporal plots can be used to identify swallowing abnormalities, which are currently assessed using videofluoroscopy. The ability to provide quantitative, functional data at the bedside while avoiding radiation exposure makes HRM an appealing tool to supplement and, at times, replace traditional videofluoroscopic studies.
Details
- Title: Subtitle
- Classification of High-Resolution Manometry Data According to Videofluoroscopic Parameters Using Pattern Recognition
- Creators
- Matthew R. Hoffman - University of Wisconsin School of Medicine and Public HealthCorinne A. Jones - University of Wisconsin–MadisonZhixian Geng - University of Wisconsin–MadisonSuzan M. Abelhalim - University of Wisconsin–MadisonChelsea C. Walczak - University of Wisconsin–MadisonAlyssa R. Mitchell - University of Wisconsin–MadisonJack J. Jiang - University of Wisconsin–MadisonTimothy M. McCulloch - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- Otolaryngology-head and neck surgery, Vol.149(1), pp.126-133
- DOI
- 10.1177/0194599813489506
- PMID
- 23728150
- PMCID
- PMC3823556
- NLM abbreviation
- Otolaryngol Head Neck Surg
- ISSN
- 0194-5998
- eISSN
- 1097-6817
- Publisher
- Sage
- Number of pages
- 8
- Grant note
- F31DC012495 / NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Deafness & Other Communication Disorders (NIDCD) R21 DC011130A; F31 DC012495 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA T32GM007507 / NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of General Medical Sciences (NIGMS)
- Language
- English
- Date published
- 07/01/2013
- Academic Unit
- Otolaryngology
- Record Identifier
- 9984366293902771
Metrics
11 Record Views