Automated quantification of wrist bone marrow oedema, pre- and post-treatment, in early rheumatoid arthritis.

ABSTRACT:

Objective

Bone inflammation (osteitis) in early RA (ERA) manifests as bone marrow oedema (BME) and precedes the development of bone erosion. In this prospective, single-centre study, we developed an automated post-processing pipeline for quantifying the severity of wrist BME on T2-weighted fat-suppressed MRI.

Methods

A total of 80 ERA patients [mean age 54 years (s.d. 12), 62 females] were enrolled at baseline and 49 (40 females) after 1 year of treatment. For automated bone segmentation, a framework based on a convolutional neural network (nnU-Net) was trained and validated (5-fold cross-validation) for 15 wrist bone areas at baseline in 60 ERA patients. For BME quantification, BME was identified by Gaussian mixture model clustering and thresholding. BME proportion (%) and

SUBMITTER: Yiu C 

PROVIDER: S-EPMC11194532 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature