Neural networks for automatic scoring of arthritis disease activity on ultrasound images.

ABSTRACT:

Background

The development of standardised methods for ultrasound (US) scanning and evaluation of synovitis activity by the OMERACT-EULAR Synovitis Scoring (OESS) system is a major step forward in the use of US in the diagnosis and monitoring of patients with inflammatory arthritis. The variation in interpretation of disease activity on US images can affect diagnosis, treatment and outcomes in clinical trials. We, therefore, set out to investigate if we could utilise neural network architecture for the interpretation of disease activity on Doppler US images, using the OESS scoring system.

Methods

Two state-of-the-art neural networks were used to extract information from 1342 Doppler US images from patients with rheumatoid arthritis (RA). One neural network divided images as

SUBMITTER: Andersen JKH 

PROVIDER: S-EPMC6443126 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature