Quantitative chest tomography indexes are related to disease activity in systemic sclerosis: results from a cross-sectional study

Abstract

The aim of this study is to verify if there are correlations between quantitative chest tomography (QCT) indexes and disease activity (DA) in a cohort of patients with systemic sclerosis (SSc). MethodsSSc patients were assessed for DA and underwent high resolution chest tomography (CT). CT images were analysed with an operator-independent algorithm extracting the QCT indexes. DA assessment was conducted according to the EUSTAR index, where a score ≥2.5 indicates high DA (hDA). Correlations between clinical data and QCT indexes were investigated with the Spearman's test. The Mann-Whitney test assessed the distribution of the QCT indexes among the groups. Receiver operating characteristics (ROC) curve and linear regression analysis were conducted in order to identify the best cut-off value and contribution for each QCT index in assessing hDA in SSc patients. Results Sixtypatients (52 females, mean age 53.2 years, mean disease duration 5.3 years) were enrolled. A significant difference was found in QCT indexes distribution between patients with hDA and those with low DA. A mild strength correlation between QCT indexes and DA was observed. Once performed ROC curves and linear regression, Skewness on parenchymal lung <1.85 gave a significant contribution to the model in identifying subjects with hDA (p<0.001), showing sensitivity 79.5%, specificity 68.7%, and accuracy 76.6%. Conclusion QCT indexes correlate with SSc DA. These data introduce new possibilities for QCT application in clinical practice, especially in patient's follow-up. Moreover, QCT could be implemented in a new SSc DA score based on operatorindependent parameters.

Systemic sclerosis: one year in review 2023

“…is the pivotal investigation that every physician should use in the screening, re-screening and follow-up of SSc-ILD (42). Interesting correlations between quantitative chest tomography and SSc disease activity were proposed (43). An implementation of HRCT with radiomics, a method that extracts a large number of features from medical images using data-characterisation algorithms, was recently tried.…”