Fluorescence optical imaging feature selection with machine learning for differential diagnosis of selected rheumatic diseases.

ABSTRACT:

Background and objective

Accurate and fast diagnosis of rheumatic diseases affecting the hands is essential for further treatment decisions. Fluorescence optical imaging (FOI) visualizes inflammation-induced impaired microcirculation by increasing signal intensity, resulting in different image features. This analysis aimed to find specific image features in FOI that might be important for accurately diagnosing different rheumatic diseases.

Patients and methods

FOI images of the hands of patients with different types of rheumatic diseases, such as rheumatoid arthritis (RA), osteoarthritis (OA), and connective tissue diseases (CTD), were assessed in a reading of 20 different image features in three phases of the contrast agent dynamics, yielding 60 different features for each

SUBMITTER: Rothe F 

PROVIDER: S-EPMC10475553 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature