https://m2.mtmt.hu/ hun 2026-09-22 23:33 JournalArticle 36170113 APPROVED true Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Hatay Mustafa Kemal University, Hatay, Turkey Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Near East University, Mersin10, 99138, Turkey Dentmetria Inc, İstanbul, Turkey Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Ankara University, Ankara, Turkey Medical Design Application, and Research Center (MEDITAM), Ankara University, Ankara, Turkey Faculty of Dentistry, Department of Oral Diagnostics, Semmelweis University, Budapest, Hungary Export Date: 14 July 2025; Cited By: 0; Correspondence Address: S. Aksoy; Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Near East University, Mersin10, 99138, Turkey; email: secil.aksoy@neu.edu.tr; CODEN: EAOTE 0 false 2026-05-24T21:17:10.822+0000 2026-01-23T19:05:19.401+0000 2025-05-30T08:43:40.119+0000 true 10080205 Szalóky-Siki Ágnes /api/admin/10080205 Admin true 2026-01-23T19:05:19.074+0000 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Aktuna, Belgin Ceren Detection of maxillary sinus pathologies using deep learning algorithms true true /api/journal/1479 REVIEWED true false 1479 false 1479 true 0937-4477 1434-4726 Journal FOREIGN 282 4727 4734 4727 8 2025 PurposeDeep learning, a subset of machine learning, is widely utilized in medical applications. Identifying maxillary sinus pathologies before surgical interventions is crucial for ensuring successful treatment outcomes. Cone beam computed tomography (CBCT) is commonly employed for maxillary sinus evaluations due to its high resolution and lower radiation exposure. This study aims to assess the accuracy of artificial intelligence (AI) algorithms in detecting maxillary sinus pathologies from CBCT scans.MethodsA dataset comprising 1000 maxillary sinuses (MS) from 500 patients was analyzed using CBCT. Sinuses were categorized based on the presence or absence of pathology, followed by segmentation of the maxillary sinus. Manual segmentation masks were generated using the semiautomatic software ITK-SNAP, which served as a reference for comparison. A convolutional neural network (CNN)-based machine learning model was then implemented to automatically segment maxillary sinus pathologies from CBCT images. To evaluate segmentation accuracy, metrics such as the Dice similarity coefficient (DSC) and intersection over union (IoU) were utilized by comparing AI-generated results with human-generated segmentations.ResultsThe automated segmentation model achieved a Dice score of 0.923, a recall of 0.979, an IoU of 0.887, an F1 score of 0.970, and a precision of 0.963.ConclusionThis study successfully developed an AI-driven approach for segmenting maxillary sinus pathologies in CBCT images. The findings highlight the potential of this method for rapid and accurate clinical assessment of maxillary sinus conditions using CBCT imaging. true 2025 true true true false false NONE 2026-05-24 false 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 1 Folyóiratcikk Journal Article 24 1 Könyvrészlet Chapter in Book 25 0 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2025 0 1 1 1 1 Q1 false false false false 2025-08-28T08:49:45.291+0000 Orális Diagnosztikai Tanszék (SE / FOK) 1 4 1 5 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 126753850 /api/authorship/126753850 1 0.2 true false false Aktuna Belgin Ceren true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 126753851 /api/authorship/126753851 2 0.2 false false false Kurbanova Aida true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 126753852 /api/authorship/126753852 3 0.2 false false true Aksoy Secil true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 126753853 /api/authorship/126753853 4 0.2 false false false Akkaya Nurullah true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 126753854 /api/authorship/126753854 5 0.2 false true false Author 10092814 /api/author/10092814 Orhan Kaan true true Orhan Kaan true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 29438985 /api/publicationidentifier/29438985 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1007/s00405-025-09451-4 https://doi.org/10.1007/s00405-025-09451-4 false true PublicationIdentifier 29438986 /api/publicationidentifier/29438986 PlainSource 1 /api/publicationsource/1 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001491299900001 https://www.webofscience.com/wos/woscc/full-record/001491299900001 false true PublicationIdentifier 29438988 /api/publicationidentifier/29438988 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 105005805410 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105005805410 false true PublicationIdentifier 29438987 /api/publicationidentifier/29438987 PlainSource 17 /api/publicationsource/17 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true PubMed PubMed http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=@@@&dopt=Abstract true true 17 true IDENTICAL 40394252 http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=40394252&dopt=Abstract false true PublicationIdentifier 31265985 /api/publicationidentifier/31265985 PlainSource 40 /api/publicationsource/40 PublicationSourceType 10006 /api/publicationsourcetype/10006 true true true Egyéb URL Other URL @@@ true true 40 true NONE IDENTICAL https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005805410&doi=10.1007%2Fs00405-025-09451-4&partnerID=40&md5=f3007623553623718e31af173da587be https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005805410&doi=10.1007%2Fs00405-025-09451-4&partnerID=40&md5=f3007623553623718e31af173da587be false true Classification 12276 /api/classification/12276 true true Keyword 3693 /api/keyword/3693 DUPLUM true 3693 true Keyword 1008950 /api/keyword/1008950 true 1008950 true Keyword 1013110 /api/keyword/1013110 true 1013110 true Keyword 1027181 /api/keyword/1027181 true 1027181 true Keyword 1427322 /api/keyword/1427322 true 1427322 true SjrRating 11610811 /api/sjrrating/11610811 21 0.24 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 2733 /api/classificationexternal/2733 true 2733 true Q1 DIRECT true true /api/publication/36170113 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Aktuna Belgin Ceren </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Kurbanova Aida </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Aksoy Secil ✉ </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Akkaya Nurullah </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10092814"><a href="/gui2/?type=authors&mode=browse&sel=10092814" target="_blank">Orhan Kaan (<span class="authorship-author-name">Orhan Kaan</span> <span class="authorAux-mtmt"> Fogorvostudomány</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Fogorvostudományi Kar">FOK</span>/Orális Diagnosztikai Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36170113" target="_blank">Detection of maxillary sinus pathologies using deep learning algorithms</a></div> <div> <span class="journal-title">EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0937-4477">0937-4477</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1434-4726">1434-4726</a>)</span>: <span class="journal-volume">282</span> <span class="page"> pp 4727-4734 </span> <span class="year">(2025)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/s00405-025-09451-4" target="_blank" href="https://doi.org/10.1007/s00405-025-09451-4"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001491299900001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001491299900001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="105005805410" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105005805410"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="40394252" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=40394252&dopt=Abstract"> PubMed </a> </span> <span class="id identifier oa_NONE" title=" Nincs "> <a style="color:blue" title="https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005805410&doi=10.1007%2Fs00405-025-09451-4&partnerID=40&md5=f3007623553623718e31af173da587be" target="_blank" href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005805410&doi=10.1007%2Fs00405-025-09451-4&partnerID=40&md5=f3007623553623718e31af173da587be"> Egyéb URL </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Otorhinolaryngology&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Medicine (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 1</span> | Független: 1 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 1 | Scopus jelölt:&nbsp;1 | WoS/Scopus jelölt:&nbsp;1 | DOI jelölt:&nbsp;1 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;36170113&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36170113</span> | <span class="status-data status-APPROVED"> Nyilvános </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">WOS TAGGED</span> </div> <div class="lastModified">Utolsó módosítás: 2026.01.23. 20:05 Szalóky-Siki Ágnes (SE_FOK_Admin5_SIKIÁ, admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Hatay Mustafa Kemal University, Hatay, Turkey Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Near East University, Mersin10, 99138, Turkey Dentmetria Inc, İstanbul, Turkey Faculty of Dentistry, Department of Dentomaxillofacial Radiology, An...</pre> </div></div>