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Computed tomography assessment of evolution of interstitial lung disease in systemic sclerosis: Comparison of two scoring systems

Authors :
Armando Gabrielli
Colomba Fischetti
Fausto Salaffi
Marina Carotti
Marco Di Carlo
Paolo Fraticelli
Marika Tardella
Andrea Giovagnoni
Source :
European Journal of Internal Medicine. 76:71-75
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Background The aim of this study was to evaluate and compare the internal and external responsiveness of a computed-aided method (CaM) with a conventional visual reader-based score (CoVR) to measure interstitial lung disease (ILD) in patients with systemic sclerosis (SSc) on high resolution computed tomography (HRCT). Methods Forty-five patients were evaluated in this retrospective cohort. HRCTs were collected at baseline and after 1 year. HRCT abnormalities were evaluated according to a CoVR (Warrick's method) and a quantitative CaM. Internal 1-year responsiveness was tested with a standardized mean response (SRM). Analyses of the receiver operating characteristic curves (ROCs) evaluated the sensitivity and specificity of the two methods to discriminate between clinically relevant progression and no relevant progression, using expert judgment as the gold standard (external responsiveness). Results In one year, lung involvement was stable/improved in 17 of the 45 patients (37.8%) and worsened in 28 patients (62.2%). HRCT scores changed moderately over the follow-up period. Using SFM, CaM was significantly more responsive in detecting changes due to treatment than the CoVR method. Likewise, in the analysis of the ROC curve, CaM scores showed the highest performance (AUC ROC CaM vs. CoVR, 0.951 vs. 0.807; p = 0.0065). Conclusion Quantitative analysis of CaM was more responsive than the CoVR method to accurately evaluate and monitor SSc-ILD progression or response to therapy.

Details

ISSN :
09536205
Volume :
76
Database :
OpenAIRE
Journal :
European Journal of Internal Medicine
Accession number :
edsair.doi.dedup.....8dc12e29dc6c22fa8ff9f36a36530fcd