Spectral arc length as a method to quantify pharyngeal high-resolution manometric curve smoothness

Area of Science:

• Otorhinolaryngology
• Neurology
• Biomedical Engineering

Background:

• Pharyngeal high-resolution manometry (HRM) is a key tool for assessing oropharyngeal dysphagia.
• Current analysis of HRM data primarily uses pressure and duration metrics.
• Novel analytical approaches are needed to enhance understanding of dysphagia pathophysiology.

Purpose of the Study:

• To introduce Spectral Arc Length (SPARC) as a new metric for analyzing pharyngeal HRM data.
• To evaluate SPARC's ability to differentiate between healthy subjects and those with post-stroke dysphagia.
• To explore SPARC's potential to reveal insights into neuromuscular coordination during swallowing.

Main Methods:

• Pharyngeal HRM data from eight stroke patients and eight healthy controls were analyzed.
• Receiver operating characteristic (ROC) analysis was employed to optimize SPARC parameters.
• SPARC values were computed for the velopharynx, tongue base, hypopharynx, and upper esophageal sphincter (UES) and compared between groups.

Main Results:

• Optimized SPARC analysis achieved an area under the curve (AUC) of 0.953 in distinguishing between groups.
• Significant differences in mean SPARC values were observed between control and stroke subjects in the velopharynx, tongue base, and hypopharynx.
• SPARC values for the upper esophageal sphincter (UES) did not significantly differ between the groups.

Conclusions:

• SPARC analysis demonstrates potential as a method to distinguish post-stroke dysphagia patients from controls.
• This preliminary study suggests SPARC can provide additional pathophysiological insights into dysphagia.
• Further research into alternative HRM analysis methods like SPARC may enhance dysphagia assessment beyond conventional metrics.