ArticleThe European respiratory journal2019
Radiomic measures from chest high-resolution computed tomography associated with lung function in sarcoidosis.
Article in The European respiratory journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 42 citations in OpenAlex.
- Radiomic profiling of chest CT in a cohort of sarcoidosis cases.Scientific reports · 2026Article
- Clinical characteristics of pulmonary sarcoidosis in China: a retrospective, multicenter study.Annals of medicine · 2025Article
- CT-Based Radiomics Enhance Respiratory Function Analysis for Lung SBRT.Bioengineering (Basel, Switzerland) · 2025Article
- Non-Invasive Procedure in Differential Diagnosis of Sarcoidosis and Tuberculosis Lymph Nodes: Radiomic Model of 18F-FDG PET-CT.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025Article
- Quantitative parameters of HRCT target scan to predict the risk of lung adenocarcinoma based on the detection of lung ground-glass nodules.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- The textures of sarcoidosis: quantifying lung disease through variograms.Physics in medicine and biology · 2025Article
- From images to clinical insights: an educational review on radiomics in lung diseases.Breathe (Sheffield, England) · 2025Review
- Article
- Radiomics based on HRCT can predict RP-ILD and mortality in anti-MDA5 + dermatomyositis patients: a multi-center retrospective study.Respiratory research · 2024Article
- The textures of sarcoidosis: quantifying lung disease through variograms.medRxiv : the preprint server for health sciences · 2024Article
- High-Risk Sarcoidosis: A Focus on Pulmonary, Cardiac, Hepatic and Renal Advanced Diseases, as Well as on Calcium Metabolism Abnormalities.Diagnostics (Basel, Switzerland) · 2024Review
- Treatment of Granulomatous Inflammation in Pulmonary Sarcoidosis.Journal of clinical medicine · 2024Review
- Sarcoidosis-associated pulmonary fibrosis: joining the dots.European respiratory review : an official journal of the European Respiratory Society · 2023Review
- The Symptoms of Pulmonary Sarcoidosis.Journal of clinical medicine · 2023Review
- Cluster activation mapping with application to computed tomography scans of the lung.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Novelties in Imaging of Thoracic Sarcoidosis.Journal of clinical medicine · 2021Review
- Quantification of Cystic Fibrosis Lung Disease with Radiomics-based CT Scores.Radiology. Cardiothoracic imaging · 2020Article
- Template Creation for High-Resolution Computed Tomography Scans of the Lung in R Software.Academic radiology · 2020Article
- Prospects and Challenges of Radiomics by Using Nononcologic Routine Chest CT.Radiology. Cardiothoracic imaging · 2020Review
- Patterns of medication use and imaging following initial diagnosis of sarcoidosis.Respiratory medicineArticle
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7 authors at 3 institutions in 1 country.
Funding
Abstract
introductionPulmonary sarcoidosis is a rare heterogeneous lung disease of unknown aetiology, with limited treatment options. Phenotyping relies on clinical testing including visual scoring of chest radiographs. Objective radiomic measures from high-resolution computed tomography (HRCT) may provide additional information to assess disease status. As the first radiomics analysis in sarcoidosis, we investigate the potential of radiomic measures as biomarkers for sarcoidosis, by assessing 1) differences in HRCT between sarcoidosis subjects and healthy controls, 2) associations between radiomic measures and spirometry, and 3) trends between Scadding stages.
methodsRadiomic features were computed on HRCT in three anatomical planes. Linear regression compared global radiomic features between sarcoidosis subjects (n=73) and healthy controls (n=78), and identified associations with spirometry. Spatial differences in associations across the lung were investigated using functional data analysis. A subanalysis compared radiomic features between Scadding stages.
resultsGlobal radiomic measures differed significantly between sarcoidosis subjects and controls (p<0.001 for skewness, kurtosis, fractal dimension and Geary's
conclusionsRadiomic HRCT measures objectively differentiate disease abnormalities, associate with lung function and identify trends in Scadding stage, showing promise as quantitative biomarkers for pulmonary sarcoidosis.
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