ArticleClinical rheumatology2020
Assessment of interstitial lung disease in systemic sclerosis using the quantitative CT algorithm CALIPER.
Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Pooled it
- A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- Prognostic impact of autoimmune features in interstitial lung disease: a single-center retrospective real-world cohort study.Clinical rheumatology · 2026Article
- Radiomic analysis of high-resolution computed tomography predicts interstitial lung disease progression and mortality in systemic sclerosis.Rheumatology (Oxford, England) · 2026Article
- Quantitative Tomographic Analysis as a Prognostic Tool in Connective Tissue Disease-Associated Interstitial Lung Disease.Diagnostics (Basel, Switzerland) · 2026Article
- Evolving landscape of imaging-based evaluation in systemic autoimmune rheumatic disease-associated interstitial lung disease: from visual assessment to quantitative artificial intelligence-assisted evaluation.Journal of rheumatic diseases · 2026Review
- Personalized Medicine for Systemic Sclerosis-Associated Interstitial Lung Disease.Current treatment options in rheumatology · 2025Article
- Comparison of quantitative lung ultrasound scores with automated quantitative CT: to overcome the ultrasound limitations.Rheumatology (Oxford, England) · 2025Article
- Use of artificial intelligence algorithms to analyse systemic sclerosis-interstitial lung disease imaging features.Rheumatology international · 2024Article
- Lung cell transplantation for pulmonary fibrosis.Science advances · 2024Article
- Quantitative chest computed tomography predicts mortality in systemic sclerosis: A longitudinal study.PloS one · 2024Article
- Systemic sclerosis interstitial lung disease: unmet needs and potential solutions.Nature reviews. Rheumatology · 2024Review
- Type 2 cytokines and scleroderma interstitial lung disease.Clinical and experimental medicine · 2023Article
- Recent innovations in the screening and diagnosis of systemic sclerosis-associated interstitial lung disease.Expert review of clinical immunology · 2023Review
- Serum Immunoglobulin G (IgG) Subclasses in a Cohort of Systemic Sclerosis Patients.Journal of personalized medicine · 2023Article
- Towards Treatable Traits for Pulmonary Fibrosis.Journal of personalized medicine · 2022Review
- High-Resolution Computed Tomography: Lights and Shadows in Improving Care for SSc-ILD Patients.Diagnostics (Basel, Switzerland) · 2021Review
- The CT pulmonary vascular parameters and disease severity in COPD patients on acute exacerbation: a correlation analysis.BMC pulmonary medicine · 2021Article
- Computer-Aided quantitative analysis in interstitial lung diseases - A pictorial review using CALIPER.Lung India : official organ of Indian Chest SocietyReview
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interstitial lung disease (ILD) remains a major cause of morbidity and mortality in systemic sclerosis (SSc). Study aim is to characterize and quantify SSc-ILD by using Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER). Secondly, our objective is to evaluate which radiological pattern is predictive of lung function decline at 12 months follow-up. In the prospective study (IRB 5435), 66 SSc patients underwent high-resolution computerized tomography (HRCT) at baseline. HRCT was performed according to standard protocol using a CT 64GE light speed VCT power scanner. CALIPER classified lung parenchyma on volume units. Every volume unit was classified into radiological parenchymal patterns (honeycombing, reticular and ground glass). Pulmonary function tests (PFTs) were performed at baseline and after 12 months of follow-up. Cigarette smoking and other lung diseases unrelated to SSc are exclusion criteria. CALIPER analysis showed normal lung parenchyma 87.4 ± 9.8%, ground glass 2.8 ± 5.3%, reticular 4 ± 5.7%, and honeycombing 1 ± 1%. In multiple regression analysis, FEV1 (p < 0.0001), FVC (p = 0.001), and DLCO (p < 0.0001) measurements at baseline showed a negative correlation with the reticular pattern percentage. At follow-up, DLCO reduction showed a positive correlation (p < 0.001) with the percentage of ground glass pattern (r = 0.33, beta coefficient = 0.51). In the ROC curve analysis, ground glass score is a good predictor (0.75, p = 0.009; 95% CI 0.59-0.91) of DLCO worsening, defined as a decrease of more than 10% of DLCO. Using a cutoff ≥ 4.5 for ground glass score, the RR for DLCO worsening is 6.8 (p < 0.01; 95% CI 1.6-29.2). The results of this study show that CALIPER is useful not only for quantifying lung damage but also for assessing worsening PFTs, but larger studies are needed to confirm these preliminary data.Key Points• At baseline reticular pattern showed negative correlation with PFTs• At follow-up ground glass pattern predicts worsening of DLCO• CALIPER is a useful to quantify lung damage.
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