{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T02:04:32Z","timestamp":1790474672253,"version":"4.1.0"},"reference-count":43,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2024,4,16]],"date-time":"2024-04-16T00:00:00Z","timestamp":1713225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>Preoperative diagnosis of oral ameloblastoma (AME) and odontogenic keratocyst (OKC) has been a challenge in dentistry. This study uses radiomics approaches and machine learning (ML) algorithms to characterize cone-beam CT (CBCT) image features for the preoperative differential diagnosis of AME and OKC and compares ML algorithms to expert radiologists to validate performance.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We retrospectively collected the data of 326 patients with AME and OKC, where all diagnoses were confirmed by histopathologic tests. A total of 348 features were selected to train six ML models for differential diagnosis by a 5-fold cross-validation. We then compared the performance of ML-based diagnoses to those of radiologists.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Among the six ML models, XGBoost was effective in distinguishing AME and OKC in CBCT images, with its classification performance outperforming the other models. The mean precision, recall, accuracy, F1-score, and area under the curve (AUC) were 0.900, 0.807, 0.843, 0.841, and 0.872, respectively. Compared to the diagnostics by radiologists, ML-based radiomic diagnostics performed better.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Radiomic-based ML algorithms allow CBCT images of AME and OKC to be distinguished accurately, facilitating the preoperative differential diagnosis of AME and OKC.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge<\/jats:title>\n                  <jats:p>ML and radiomic approaches with high-resolution CBCT images provide new insights into the differential diagnosis of AME and OKC.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/dmfr\/twae016","type":"journal-article","created":{"date-parts":[[2024,4,17]],"date-time":"2024-04-17T02:52:52Z","timestamp":1713322372000},"page":"316-324","source":"Crossref","is-referenced-by-count":16,"title":["Application of machine learning in the preoperative radiomic diagnosis of ameloblastoma and odontogenic keratocyst based on cone-beam CT"],"prefix":"10.1093","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6248-8086","authenticated-orcid":false,"given":"Yang","family":"Song","sequence":"first","affiliation":[{"name":"School of Medicine and Health Management, Huazhong University of Science & Technology , Hangkong Road , Wuhan, 430030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sirui","family":"Ma","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University , Luoyu Road , Wuhan, 430072, China"},{"name":"Department of Oral and Maxillofacial-Head and Neck Oncology, School and Hospital of Stomatology, Wuhan University , Luoyu Road , Wuhan, 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Mao","sequence":"additional","affiliation":[{"name":"Zhengzhou University People's Hospital (Henan Provincial People's Hospital) , Weiwu Road , Zhengzhou, 450003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Medicine and Health Management, Huazhong University of Science & Technology , Hangkong Road , Wuhan, 430030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Medicine and Health Management, Huazhong University of Science & Technology , Hangkong Road , Wuhan, 430030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingdong","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Medicine and Health Management, Huazhong University of Science & Technology , Hangkong Road , Wuhan, 430030, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Jia","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University , Luoyu Road , Wuhan, 430072, China"},{"name":"Department of Oral and Maxillofacial-Head and Neck Oncology, School and Hospital of Stomatology, Wuhan University , Luoyu Road , Wuhan, 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,4,16]]},"reference":[{"issue":"3","key":"2024062808103762500_twae016-B1","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1097\/00001665-200205000-00006","article-title":"Mandibular ameloblastoma: analysis of surgical treatment carried out in 60 patients between 1977 and 1998","volume":"13","author":"Becelli","year":"2002","journal-title":"J Craniofac Surg"},{"issue":"7","key":"2024062808103762500_twae016-B2","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1007\/s00405-015-3631-8","article-title":"Ameloblastoma: a clinical review and trends in management","volume":"273","author":"McClary","year":"2016","journal-title":"Eur Arch Otorhinolaryngol"},{"issue":"2","key":"2024062808103762500_twae016-B3","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.bjoms.2021.01.021","article-title":"Fourteen-year study of the management of the odontogenic keratocyst. 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