{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T21:40:17Z","timestamp":1768081217536,"version":"3.49.0"},"reference-count":34,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2024,3,23]],"date-time":"2024-03-23T00:00:00Z","timestamp":1711152000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012680","name":"Universit\u00e4tsklinikum Hamburg-Eppendorf","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012680","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Laryngoscope"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>Computer aided diagnostics (CAD) systems can automate the differentiation of maxillary sinus (MS) with and without opacification, simplifying the typically laborious process and aiding in clinical insight discovery within large cohorts.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This study uses Hamburg City Health Study (HCHS) a large, prospective, long\u2010term, population\u2010based cohort study of participants between 45 and 74\u2009years of age. We develop a CAD system using an ensemble of 3D Convolutional Neural Network (CNN) to analyze cranial MRIs, distinguishing MS with opacifications (polyps, cysts, mucosal thickening) from MS without opacifications. The system is used to find correlations of participants with and without MS opacifications with clinical data (smoking, alcohol, BMI, asthma, bronchitis, sex, age, leukocyte count, C\u2010reactive protein, allergies).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The evaluation metrics of CAD system (Area Under Receiver Operator Characteristic: 0.95, sensitivity: 0.85, specificity: 0.90) demonstrated the effectiveness of our approach. MS with opacification group exhibited higher alcohol consumption, higher BMI, higher incidence of intrinsic asthma and extrinsic asthma. Male sex had higher prevalence of MS opacifications. Participants with MS opacifications had higher incidence of hay fever and house dust allergy but lower incidence of bee\/wasp venom allergy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The study demonstrates a 3D CNN's ability to distinguish MS with and without opacifications, improving automated diagnosis and aiding in correlating clinical data in population studies.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>3 <jats:italic>Laryngoscope<\/jats:italic>, 134:3927\u20133934, 2024<\/jats:p><\/jats:sec>","DOI":"10.1002\/lary.31413","type":"journal-article","created":{"date-parts":[[2024,3,23]],"date-time":"2024-03-23T17:59:18Z","timestamp":1711216758000},"page":"3927-3934","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Computer\u2010Aided Diagnosis of Maxillary Sinus Anomalies: Validation and Clinical Correlation"],"prefix":"10.1002","volume":"134","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8552-2227","authenticated-orcid":false,"given":"Debayan","family":"Bhattacharya","sequence":"first","affiliation":[{"name":"Institute of Medical Technology and Intelligent Systems Technische Universitaet Hamburg  Hamburg Germany"},{"name":"Department of Otorhinolaryngology, Head and Neck Surgery and Oncology University Medical Center Hamburg\u2010Eppendorf  Hamburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin Tobias","family":"Becker","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology, Head and Neck Surgery and Oncology University Medical Center Hamburg\u2010Eppendorf  Hamburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Finn","family":"Behrendt","sequence":"additional","affiliation":[{"name":"Institute of Medical Technology and Intelligent Systems Technische Universitaet Hamburg  Hamburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dirk","family":"Beyersdorff","sequence":"additional","affiliation":[{"name":"Clinic and Polyclinic for Diagnostic and Interventional Radiology and Nuclear Medicine University Medical Center Hamburg\u2010Eppendorf  Hamburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elina","family":"Petersen","sequence":"additional","affiliation":[{"name":"Population Health Research Department, University Heart and Vascular Center University Medical Center Hamburg\u2010Eppendorf  Hamburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marvin","family":"Petersen","sequence":"additional","affiliation":[{"name":"Department of Neurology University Medical Center Hamburg\u2010Eppendorf  Hamburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bastian","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Neurology University Medical 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