Feasibility of artificial intelligence assisted quantitative muscle ultrasound in carpal tunnel syndrome.

ABSTRACT:

Background

In case of focal neuropathy, the muscle fibers innervated by the corresponding nerves are replaced with fat or fibrous tissue due to denervation, which results in increased echo intensity (EI) on ultrasonography. EI analysis can be conducted quantitatively using gray scale analysis. Mean value of pixel brightness of muscle image defined as EI. However, the accuracy achieved by using this parameter alone to differentiate between normal and abnormal muscles is limited. Recently, attempts have been made to increase the accuracy using artificial intelligence (AI) in the analysis of muscle ultrasound images. CTS is the most common disease among focal neuropathy. In this study, we aimed to verify the utility of AI assisted quantitative analysis of muscle ultrasound in CTS.

SUBMITTER: Kim SW 

PROVIDER: S-EPMC10294449 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature