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


Journal

European journal of internal medicine
ISSN: 1879-0828
Titre abrégé: Eur J Intern Med
Pays: Netherlands
ID NLM: 9003220

Informations de publication

Date de publication:
06 2020
Historique:
received: 02 11 2019
revised: 29 01 2020
accepted: 11 02 2020
pubmed: 25 2 2020
medline: 16 2 2021
entrez: 25 2 2020
Statut: ppublish

Résumé

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). 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). 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). Quantitative analysis of CaM was more responsive than the CoVR method to accurately evaluate and monitor SSc-ILD progression or response to therapy.

Sections du résumé

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.

Identifiants

pubmed: 32089425
pii: S0953-6205(20)30052-2
doi: 10.1016/j.ejim.2020.02.009
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

71-75

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare that there is no conflict of interest regarding the publication of this paper.

Auteurs

Fausto Salaffi (F)

Rheumatological Clinic, Ospedale Carlo Urbani Jesi, Università Politecnica delle Marche, Ancona, Italy. Electronic address: fausto.salaffi@gmail.com.

Marina Carotti (M)

Department of Radiology, Ospedali Riuniti, Università Politecnica delle Marche, Italy. Electronic address: marina.carotti@gmail.com.

Marika Tardella (M)

Rheumatological Clinic, Ospedale Carlo Urbani Jesi, Università Politecnica delle Marche, Ancona, Italy. Electronic address: marikatardella@gmail.com.

Marco Di Carlo (M)

Rheumatological Clinic, Ospedale Carlo Urbani Jesi, Università Politecnica delle Marche, Ancona, Italy. Electronic address: dica.marco@yahoo.it.

Paolo Fraticelli (P)

Department of Internal Medicine, Ospedali Riuniti, Università Politecnica delle Marche, Ancona, Italy. Electronic address: paolo.fraticelli@ospedaliriuniti.marche.it.

Colomba Fischetti (C)

Department of Internal Medicine, Ospedali Riuniti, Università Politecnica delle Marche, Ancona, Italy. Electronic address: colomba.fischetti@gmail.com.

Andrea Giovagnoni (A)

Department of Radiology, Ospedali Riuniti, Università Politecnica delle Marche, Italy. Electronic address: a.giovagnoni@univpm.it.

Armando Gabrielli (A)

Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy. Electronic address: a.gabrielli@univpm.it.

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