{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T04:22:56Z","timestamp":1772252576651,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T00:00:00Z","timestamp":1609286400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003082","name":"Stichting Euregio Maas-Rijn","doi-asserted-by":"publisher","award":["EMR4"],"award-info":[{"award-number":["EMR4"]}],"id":[{"id":"10.13039\/501100003082","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["ERC-ADG-2015, n\u00b0 694812 -\u202f  Hypoximmuno"],"award-info":[{"award-number":["ERC-ADG-2015, n\u00b0 694812 -\u202f  Hypoximmuno"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011264","name":"FP7 People: Marie-Curie Actions","doi-asserted-by":"publisher","award":["PREDICT - ITN - n\u00b0 766276"],"award-info":[{"award-number":["PREDICT - ITN - n\u00b0 766276"]}],"id":[{"id":"10.13039\/100011264","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>The coronavirus disease 2019 (COVID-19) outbreak has reached pandemic status. Drastic measures of social distancing are enforced in society and healthcare systems are being pushed to and beyond their limits. To help in the fight against this threat on human health, a fully automated AI framework was developed to extract radiomics features from volumetric chest computed tomography (CT) exams. The detection model was developed on a dataset of 1381 patients (181 COVID-19 patients plus 1200 non COVID control patients). A second, independent dataset of 197 RT-PCR confirmed COVID-19 patients and 500 control patients was used to assess the performance of the model. Diagnostic performance was assessed by the area under the receiver operating characteristic curve (AUC). The model had an AUC of 0.882 (95% CI: 0.851\u20130.913) in the independent test dataset (641 patients). The optimal decision threshold, considering the cost of false negatives twice as high as the cost of false positives, resulted in an accuracy of 85.18%, a sensitivity of 69.52%, a specificity of 91.63%, a negative predictive value (NPV) of 94.46% and a positive predictive value (PPV) of 59.44%. Benchmarked against RT-PCR confirmed cases of COVID-19, our AI framework can accurately differentiate COVID-19 from routine clinical conditions in a fully automated fashion. Thus, providing rapid accurate diagnosis in patients suspected of COVID-19 infection, facilitating the timely implementation of isolation procedures and early intervention.<\/jats:p>","DOI":"10.3390\/diagnostics11010041","type":"journal-article","created":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T09:35:23Z","timestamp":1609320923000},"page":"41","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7800-1730","authenticated-orcid":false,"given":"Julien","family":"Guiot","sequence":"first","affiliation":[{"name":"Department of Pneumology, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8012-6516","authenticated-orcid":false,"given":"Akshayaa","family":"Vaidyanathan","sequence":"additional","affiliation":[{"name":"Research and Development, Oncoradiomics SA, 4000 Li\u00e8ge, Belgium"},{"name":"The D-Lab, Department of Precision Medicine, Maastricht University, 6229 Maastricht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Louis","family":"Deprez","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fadila","family":"Zerka","sequence":"additional","affiliation":[{"name":"Research and Development, Oncoradiomics SA, 4000 Li\u00e8ge, Belgium"},{"name":"The D-Lab, Department of Precision Medicine, Maastricht University, 6229 Maastricht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Denis","family":"Danthine","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne-No\u00eblle","family":"Frix","sequence":"additional","affiliation":[{"name":"Department of Pneumology, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marie","family":"Thys","sequence":"additional","affiliation":[{"name":"Department of Medico-Economic Information, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Monique","family":"Henket","sequence":"additional","affiliation":[{"name":"Department of Pneumology, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregory","family":"Canivet","sequence":"additional","affiliation":[{"name":"Department of Computer Applications, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephane","family":"Mathieu","sequence":"additional","affiliation":[{"name":"Department of Computer Applications, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evanthia","family":"Eftaxia","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7961-0191","authenticated-orcid":false,"given":"Philippe","family":"Lambin","sequence":"additional","affiliation":[{"name":"The D-Lab, Department of Precision Medicine, Maastricht University, 6229 Maastricht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nathan","family":"Tsoutzidis","sequence":"additional","affiliation":[{"name":"Research and Development, Oncoradiomics SA, 4000 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Miraglio","sequence":"additional","affiliation":[{"name":"Research and Development, Oncoradiomics SA, 4000 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sean","family":"Walsh","sequence":"additional","affiliation":[{"name":"Research and Development, Oncoradiomics SA, 4000 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michel","family":"Moutschen","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renaud","family":"Louis","sequence":"additional","affiliation":[{"name":"Department of Pneumology, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Meunier","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Hospital of Li\u00e8ge, 4020 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0827-421X","authenticated-orcid":false,"given":"Wim","family":"Vos","sequence":"additional","affiliation":[{"name":"Research and Development, Oncoradiomics SA, 4000 Li\u00e8ge, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ralph T. 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