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Two blinded readers retrospectively graded radiological abnormalities of the craniofacial region observed on craniofacial CT examinations obtained during initial evaluation of 38 patients with eventually pathology-proven AIFR (13:25, <jats:italic>Mucor<\/jats:italic>:<jats:italic>Aspergillus<\/jats:italic>). Binomial logistic regression was used to analyze correlation between variables and type of fungi. Score-based models were implemented for analyzing differences in laterality of findings, including the \u2018unilateral presence\u2019 and \u2018bilateral mean\u2019 models. Binary logistic regression was used, with Score as the only predictor and Group (<jats:italic>Mucor<\/jats:italic> vs <jats:italic>Aspergillus<\/jats:italic>) as the only outcome. Specificity, sensitivity, positive predictive value, negative predictive value and accuracy were determined for the evaluated models. Given the low predictive value of any single evaluated anatomical site, a \u2018bilateral mean\u2019 score-based model including the nasal cavity, maxillary sinuses, ethmoid air cells, sphenoid sinus and frontal sinuses yielded the highest prediction accuracy, with <jats:italic>Mucor<\/jats:italic> induced AIFR correlating with higher prevalence of bilateral findings. The odds ratio for the model while integrating the above anatomical sites was 12.3 (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). PPV, NPV, sensitivity, specificity and accuracy were 0.85, 0.82, 0.92, 0.69 and 0.84 respectively. The abnormal radiological findings on craniofacial CT scans of <jats:italic>Mucor<\/jats:italic> and <jats:italic>Aspergillus<\/jats:italic> induced AIFR could be differentiated based on laterality, with <jats:italic>Mucor<\/jats:italic> induced AIFR associated with higher prevalence of bilateral findings.<\/jats:p>","DOI":"10.1038\/s41598-020-69446-5","type":"journal-article","created":{"date-parts":[[2020,7,28]],"date-time":"2020-07-28T10:04:50Z","timestamp":1595930690000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["A model for classification of invasive fungal rhinosinusitis by computed tomography"],"prefix":"10.1038","volume":"10","author":[{"given":"Guy","family":"Slonimsky","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johnathan D.","family":"McGinn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neerav","family":"Goyal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henry","family":"Crist","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Max","family":"Hennessy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2431-2677","authenticated-orcid":false,"given":"Eric","family":"Gagnon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Einat","family":"Slonimsky","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,7,28]]},"reference":[{"key":"69446_CR1","doi-asserted-by":"publisher","first-page":"1283","DOI":"10.1148\/rg.275065189","volume":"27","author":"M Aribandi","year":"2007","unstructured":"Aribandi, M., McCoy, V. 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