Identification of swallowing disorders in early and mid-stage Parkinson’s disease using pattern recognition of pharyngeal high-resolution manometry data
Open accessAbstract
Background: Parkinson's disease (PD) can cause severe dysphagia, especially later in disease progression. Early identification of swallowing dysfunction may lead to earlier intervention. Pharyngeal high‐resolution manometry (HRM) provides complementary information to videofluoroscopy, with advantages of being quantitative and objective. Artificial neural network (ANN) classification can examine non‐linear relationships among multiple variables with relatively low bias. We evaluated if ANN techniques could differentiate between patients with PD and healthy controls. Methods: Simultaneous videofluoroscopy and pharyngeal HRM were performed on 31 patients with early to mid‐stage PD and 31 age‐ and sex‐matched controls during thin‐liquid swallows of 2 cc, 10 cc and comfortable sip volume. We performed multilayer‐perceptron analyses on only videofluoroscopic data, only HRM data or a combination of the two. We also evaluated variability‐based parameters, representing variability in manometric parameters across multiple swallows. We hypothesized that patients with PD and controls would be classified with at least 80% accuracy, and that combined videofluoroscopic and HRM data would classify participants better than either alone. Key Results: Classification rates were highest with all parameters considered. Maximum classification rate was 82.3 ± 5.2%, recorded for 2 cc swallows. Inclusion of variability‐based parameters improved classification rates. Classification rates using only manometric parameters were similar to those using all parameters, and rates were substantially lower for the comfortable sip volumes. Conclusions & Inferences: Results from these classifications highlight the differences between swallowing function in patients with early and mid‐stage PD and healthy controls. Early identification of swallowing dysfunction is key to developing preventative swallowing treatments for those with PD.
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VFSS with high-resolution manometry has been considered in the evaluation of pharyngeal and esophageal anatomical structures.
“VFSS, along with high-resolution manometry, has also been considered in the evaluation of pharyngeal and esophageal anatomical structures(27,29-31)”
From Artificial intelligence in the diagnosis and management of dysphagia: a scoping review (2025) · cites this paper as [31]
The Introduction describes high-resolution manometry as complementary to videofluoroscopy, and Materials and Methods (Data collection) reports collecting both simultaneously. The analyses evaluate swallowing physiology in pharyngeal regions and the upper esophageal sphincter, but do not establish evaluation of esophageal anatomical structures more broadly. Page numbers are unavailable in our copy. (LLM, conf=0.82)
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Research works printed but not linked: 1
- [38]Butler SG Stuart A Castell DRG Koch K Kemp S Effects of age, gender, bolus volume, condition, viscosity, and volume on pharyngeal and upper esophageal sphincter pressure and temporal measurements during swallowing Dysphagia 2007 22 4 367 367 19064903
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Artificial intelligence in the diagnosis and management of dysphagia: a scoping review
Silva, R. D. D., Almeida, S. B., Gonçalves, F. M., Zeigelboim, B. S., Stechman-Neto, J., Schroder, A. G. D., Nascimento, W. V., Santos, R. S., & Araujo, C. M. D. (2025) · CoDAS · doi:10.1590/2317-1782/e20240305en · Cited by 6 · see citing works
- Authors
- Jones, C. A., Hoffman, M. R., Lin, L., Abdelhalim, S., Jiang, J. J., & McCulloch, T. M.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- McCulloch, T. M.
- Venue
- Neurogastroenterology & Motility
- Publisher
- Wiley
- Published
- 2017-11-16
- Volume
- 30
- Issue
- 4
- Pages
- e13236-e13236
- ISSN
- 1350-1925 (ISSN-L)
- 1365-2982
- PMC
- PMC5878743
- OpenAlex
- W2769998482
- Cited by
- 35
- References
- 47
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 7 · 2023: 3 · 2022: 5 · 2021: 5 · 2020: 4 · 2019: 4 · 2018: 3
- FWCI
- 5.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurogastroenterology & Motility (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (R33 DC011130A)
- Institute for Clinical and Translational Research, University of Wisconsin, Madison
- Topics
- Health Sciences › Health Professions › Speech and Hearing › Dysphagia Assessment and Management
- Health Sciences › Medicine › Physiology › Voice and Speech Disorders
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- Parkinson's disease, dysphagia, artificial neural network classification, multilayer perceptron, videofluoroscopy, early diagnosis
- MeSH terms
- Aged, Deglutition Disorders, Female, Humans, Male, Manometry, Middle Aged, Parkinson Disease, Sensitivity and Specificity, Neural Networks, Computer
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