{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T13:23:24Z","timestamp":1793885004580,"version":"4.8.0"},"reference-count":26,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T00:00:00Z","timestamp":1685059200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Taif University, Saudi Arabia","award":["R01HL071021"],"award-info":[{"award-number":["R01HL071021"]}]},{"name":"Taif University, Saudi Arabia","award":["EP\/L014823\/1"],"award-info":[{"award-number":["EP\/L014823\/1"]}]},{"name":"NIH","award":["R01HL071021"],"award-info":[{"award-number":["R01HL071021"]}]},{"name":"NIH","award":["EP\/L014823\/1"],"award-info":[{"award-number":["EP\/L014823\/1"]}]},{"name":"EPSRC Centre for Doctoral Training in Tissue Engineering and Regenerative Medicine: Innovation in Medical and Biological Engineering","award":["R01HL071021"],"award-info":[{"award-number":["R01HL071021"]}]},{"name":"EPSRC Centre for Doctoral Training in Tissue Engineering and Regenerative Medicine: Innovation in Medical and Biological Engineering","award":["EP\/L014823\/1"],"award-info":[{"award-number":["EP\/L014823\/1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background: The aim of this study is to explore the utility of cardiac magnetic resonance (CMR) imaging of radiomic features to distinguish active and inactive cardiac sarcoidosis (CS). Methods: Subjects were classified into active cardiac sarcoidosis (CSactive) and inactive cardiac sarcoidosis (CSinactive) based on PET-CMR imaging. CSactive was classified as featuring patchy [18F]fluorodeoxyglucose ([18F]FDG) uptake on PET and presence of late gadolinium enhancement (LGE) on CMR, while CSinactive was classified as featuring no [18F]FDG uptake in the presence of LGE on CMR. Among those screened, thirty CSactive and thirty-one CSinactive patients met these criteria. A total of 94 radiomic features were subsequently extracted using PyRadiomics. The values of individual features were compared between CSactive and CSinactive using the Mann\u2013Whitney U test. Subsequently, machine learning (ML) approaches were tested. ML was applied to two sub-sets of radiomic features (signatures A and B) that were selected by logistic regression and PCA, respectively. Results: Univariate analysis of individual features showed no significant differences. Of all features, gray level co-occurrence matrix (GLCM) joint entropy had a good area under the curve (AUC) and accuracy with the smallest confidence interval, suggesting it may be a good target for further investigation. Some ML classifiers achieved reasonable discrimination between CSactive and CSinactive patients. With signature A, support vector machine and k-neighbors showed good performance with AUC (0.77 and 0.73) and accuracy (0.67 and 0.72), respectively. With signature B, decision tree demonstrated AUC and accuracy around 0.7; Conclusion: CMR radiomic analysis in CS provides promising results to distinguish patients with active and inactive disease.<\/jats:p>","DOI":"10.3390\/diagnostics13111865","type":"journal-article","created":{"date-parts":[[2023,5,27]],"date-time":"2023-05-27T16:16:04Z","timestamp":1685204164000},"page":"1865","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Exploring the Utility of Cardiovascular Magnetic Resonance Radiomic Feature Extraction for Evaluation of Cardiac Sarcoidosis"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4062-6457","authenticated-orcid":false,"given":"Nouf A.","family":"Mushari","sequence":"first","affiliation":[{"name":"Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgios","family":"Soultanidis","sequence":"additional","affiliation":[{"name":"BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Duff","sequence":"additional","affiliation":[{"name":"Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK"},{"name":"Institute of Medical and Biological Engineering, University of Leeds, Leeds LS2 9JT, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6601-3267","authenticated-orcid":false,"given":"Maria G.","family":"Trivieri","sequence":"additional","affiliation":[{"name":"BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA"},{"name":"Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zahi A.","family":"Fayad","sequence":"additional","affiliation":[{"name":"BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philip M.","family":"Robson","sequence":"additional","affiliation":[{"name":"BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4971-2477","authenticated-orcid":false,"given":"Charalampos","family":"Tsoumpas","sequence":"additional","affiliation":[{"name":"Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK"},{"name":"BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA"},{"name":"Department of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, University of Groningen, 9713 Groningen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.jacc.2016.03.605","article-title":"Cardiac sarcoidosis","volume":"68","author":"Birnie","year":"2016","journal-title":"J. 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