Quantitative and semi-quantitative computed tomography analysis of interstitial lung disease associated with systemic sclerosis: A longitudinal evaluation of pulmonary parenchyma and vessels.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 30 08 2018
accepted: 21 02 2019
entrez: 13 3 2019
pubmed: 13 3 2019
medline: 18 12 2019
Statut: epublish

Résumé

To evaluate interstitial lung disease associated with systemic sclerosis (SSc-ILD) and its changes during treatment by using quantitative analysis (QA) compared to semi-quantitative analysis (semiQA) of chest computed tomography (CT) scans. To assess the prognostic value of QA in predicting functional changes. We retrospectively selected 35 consecutive patients with SSc-ILD with complete pulmonary functional evaluation, Doppler-echocardiography, immunological tests, and chest CT scan at both baseline and follow-up after immunosuppressive therapy. CT images were analyzed by two chest radiologists for semiQA and by a computational platform for texture analysis of ILD patterns (CALIPER) for QA. Concordance between semiQA and QA was tested. Traction bronchiectasis severity was scored. Analysis of ROC curves was performed. Seventy CT scans were analyzed and QA failed in 4/70 scans. Thus, the final population included 31/35 patients (51.3±12.1 years). QA had a weak-to-good concordance with semiQA (ICC reticular:0.275; ICC ground-glass:0.667) and QA correlated better than semiQA (r = -0.3 to -0.74 vs r = -0.3 to -0.4) with functional parameters. Both methods correlated with traction bronchiectases score and pulmonary artery diameter at CT. A pulmonary artery diameter ≥29mm distinguished patients with lower lung volumes and ILD extent greater than 39% (p<0.001). Changes in QA patterns during treatment were not accurate (AUC: 0.50 to 0.70; p>0.05) in predicting disease progression as assessed by functional parameters, whereas variation in total lung volume at QA accurately predicted changes in the composite functional respiratory endpoint with FVC% and DLco% (AUC = 0.74; 95%CI: 0.54 to 0.93; p = 0.03). Pulmonary QA of CT images can objectively quantify specific patterns of ILD changes during treatment in patients with SSc-ILD. Changes in QA patterns do not correlate with functional changes, but variation in total lung volume at QA accurately predicted changes in the composite functional respiratory endpoint with FVC% and DLco%. Pulmonary artery diameter at CT reflects the interstitial involvement, identifying patients with more severe prognosis.

Identifiants

pubmed: 30861018
doi: 10.1371/journal.pone.0213444
pii: PONE-D-18-25475
pmc: PMC6414027
doi:

Substances chimiques

Rituximab 4F4X42SYQ6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0213444

Déclaration de conflit d'intérêts

MO received consultancies from Imbio, LLC, all remaining authors have declared that no competing interests exist. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

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Auteurs

Mariaelena Occhipinti (M)

Department of Clinical and Experimental Medicine, University of Florence, Florence, Italy.

Silvia Bosello (S)

Rheumathology Division, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.

Leuconoe Grazia Sisti (LG)

Department of Public Health-Section of Hygiene, Catholic University of Sacred Heart, Rome, Italy.

Giuseppe Cicchetti (G)

Institute of Radiology, Pole of Imaging, Laboratory and Infectivology Sciences, Diagnostic Imaging Area, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.

Chiara de Waure (C)

Department of Experimental Medicine, University of Perugia, Perugia, Italy.

Tommaso Pirronti (T)

Institute of Radiology, Pole of Imaging, Laboratory and Infectivology Sciences, Diagnostic Imaging Area, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.

Gianfranco Ferraccioli (G)

Rheumathology Division, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.

Elisa Gremese (E)

Rheumathology Division, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.

Anna Rita Larici (AR)

Institute of Radiology, Pole of Imaging, Laboratory and Infectivology Sciences, Diagnostic Imaging Area, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.

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Classifications MeSH