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Dataset Information

Assessing predictors of rheumatoid arthritis-associated interstitial lung disease using quantitative lung densitometry.


ABSTRACT:

Objective

To assess predictors of subclinical RA-associated interstitial lung disease (RA-ILD) using quantitative lung densitometry (qLD).

Methods

RA patients underwent multi-detector row CT scanning at baseline and after an average of 39 months. Scans were analysed with qLD for the percentage of lung parenchyma with high attenuation areas (%HAA: the percentage of voxels of -600 to -250 Hounsfield units). Additionally, a pulmonary radiologist calculated an expert radiologist scoring (ERS) for RA-ILD features. Generalized linear models were used to identify indicators of baseline %HAA and predictors of %HAA change.

Results

Baseline %HAA was assessed in 193 RA patients and 106 had repeat qLD assessment. %HAA was correlated with ERS (Spearman's rho = 0.261; P < 0.001). S

SUBMITTER: Alevizos MK 

PROVIDER: S-EPMC9608004 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature