Automated measurement of inter-arytenoid distance on 4D laryngeal CT: A validation study.

ABSTRACT: Changes to the voice are prevalent and occur early in Parkinson's disease. Correlates of these voice changes on four-dimensional laryngeal computed-tomography imaging, such as the inter-arytenoid distance, are promising biomarkers of the disease's presence and severity. However, manual measurement of the inter-arytenoid distance is a laborious process, limiting its feasibility in large-scale research and clinical settings. Automated methods of measurement provide a solution. Here, we present a machine-learning module which determines the inter-arytenoid distance in an automated manner. We obtained automated inter-arytenoid distance readings on imaging from participants with Parkinson's disease as well as healthy controls, and then validated these against manually derived estimates. On a mo

SUBMITTER: Ma A 

PROVIDER: S-EPMC9847963 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature