{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,7]],"date-time":"2026-11-07T11:13:04Z","timestamp":1794049984451,"version":"4.8.0"},"reference-count":41,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Dentistry"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1016\/j.jdent.2024.105373","type":"journal-article","created":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T21:41:25Z","timestamp":1727300485000},"page":"105373","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":77,"special_numbering":"C","title":["Deep learning method to automatically diagnose periodontal bone loss and periodontitis stage in dental panoramic radiograph"],"prefix":"10.1016","volume":"150","author":[{"given":"Ting","family":"Xue","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinfeng","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jdent.2024.105373_bib0001","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1111\/jcpe.12732","article-title":"Impact of the global burden of periodontal diseases on health, nutrition and wellbeing of mankind: A call for global action","volume":"44","author":"Tonetti","year":"2017","journal-title":"J. Clin. Periodontol."},{"key":"10.1016\/j.jdent.2024.105373_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2024.104921","article-title":"Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach","volume":"144","author":"Lee","year":"2024","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0003","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/JPER.18-0157","article-title":"A new classification scheme for periodontal and peri-implant diseases and conditions - Introduction and key changes from the 1999 classification","volume":"89","author":"Caton","year":"2018","journal-title":"J. Periodontol."},{"key":"10.1016\/j.jdent.2024.105373_bib0004","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1002\/JPER.18-0006","article-title":"Staging and grading of periodontitis: Framework and proposal of a new classification and case definition","volume":"89","author":"Tonetti","year":"2018","journal-title":"J. Periodontol."},{"key":"10.1016\/j.jdent.2024.105373_bib0005","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1902\/jop.2000.71.1.96","article-title":"Periodontal probing: Probe tip diameter","volume":"71","author":"Garnick","year":"2000","journal-title":"J. Periodontol."},{"key":"10.1016\/j.jdent.2024.105373_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2024.105057","article-title":"A reliable deep-learning-based method for alveolar bone quantification using a murine model of periodontitis and micro-computed tomography imaging","author":"Xi","year":"2024","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2023.104536","article-title":"A pilot study on the association between soft tissue volumetric changes and non-surgical periodontal treatment in stage III periodontitis patients. A case series study","volume":"134","author":"Pelekos","year":"2023","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0008","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1111\/j.1600-051X.1992.tb00654.x","article-title":"Comparison of panoramic and intraoral radiography and pocket probing for the measurement of the marginal bone level","volume":"19","author":"Akesson","year":"1992","journal-title":"J. Clin. Periodontol."},{"key":"10.1016\/j.jdent.2024.105373_bib0009","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1111\/prd.12580","article-title":"Radiographic diagnosis of periodontal diseases \u2013 Current evidence versus innovations","volume":"95","author":"Jacobs","year":"2024","journal-title":"Periodontology"},{"key":"10.1016\/j.jdent.2024.105373_bib0010","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1111\/prd.12193","article-title":"The emerging role of maxillofacial radiology in the diagnosis and management of patients with complex periodontitis","volume":"74","author":"Scarfe","year":"2017","journal-title":"Periodontol"},{"issue":"Suppl 1","key":"10.1016\/j.jdent.2024.105373_bib0011","first-page":"S27","article-title":"Radiographs in periodontal disease diagnosis and management","volume":"54","author":"Corbet","year":"2009","journal-title":"Aust. Dent. J."},{"key":"10.1016\/j.jdent.2024.105373_bib0012","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1038\/sj.bdj.2019.3","article-title":"Periodontal diagnosis in the context of the 2017 classification system of periodontal diseases and conditions\u2013implementation in clinical practice","volume":"226","author":"Dietrich","year":"2019","journal-title":"Br. Dent. J."},{"issue":"Suppl 12S","key":"10.1016\/j.jdent.2024.105373_bib0013","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1902\/jop.1992.63.12s.1078","article-title":"Radiographic methods in the evaluation of periodontal therapy","volume":"63","author":"Reddy","year":"1992","journal-title":"J. Periodontol."},{"key":"10.1016\/j.jdent.2024.105373_bib0014","doi-asserted-by":"crossref","first-page":"1071","DOI":"10.14219\/jada.archive.1994.0136","article-title":"Current concepts in periodontal disease testing","volume":"125","author":"Jeffcoat","year":"1994","journal-title":"J. Am. Dent. Assoc."},{"key":"10.1016\/j.jdent.2024.105373_bib0015","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1259\/dmfr\/13676777","article-title":"Detection of periodontal bone loss using cone beam CT and intraoral radiography","volume":"41","author":"Faria","year":"2012","journal-title":"Dentomaxillofac. Radiol."},{"key":"10.1016\/j.jdent.2024.105373_bib0016","doi-asserted-by":"crossref","first-page":"79","DOI":"10.5624\/isd.2018.48.2.79","article-title":"Comparison of conventional imaging techniques and CBCT for periodontal evaluation: a systematic review","volume":"48","author":"Choi","year":"2018","journal-title":"ImAging Sci. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0017","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cmpb.2017.06.012","article-title":"Automatic methods for alveolar bone loss degree measurement in periodontitis periapical radiographs","volume":"148","author":"Lin","year":"2017","journal-title":"Comput Methods Progr Biomed"},{"key":"10.1016\/j.jdent.2024.105373_bib0018","doi-asserted-by":"crossref","DOI":"10.1155\/2021\/9751564","article-title":"Artificial intelligence techniques: analysis, application, and outcome in dentistry-a systematic review","author":"Ahmed","year":"2021","journal-title":"Biomed. Res. Int."},{"key":"10.1016\/j.jdent.2024.105373_bib0019","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1097\/SCS.0000000000005587","article-title":"Fully automatic robot-assisted surgery for mandibular angle split osteotomy","volume":"31","author":"Sun","year":"2020","journal-title":"J. Craniofac. Surg."},{"key":"10.1016\/j.jdent.2024.105373_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2022.104107","article-title":"Artificial intelligence for caries and periapical periodontitis detection","volume":"122","author":"Li","year":"2022","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0021","volume":"1","author":"Barr","year":"1981"},{"key":"10.1016\/j.jdent.2024.105373_bib0022","doi-asserted-by":"crossref","first-page":"114","DOI":"10.5051\/jpis.2018.48.2.114","article-title":"Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm","volume":"48","author":"Lee","year":"2018","journal-title":"J. Periodontal. ImPlant Sci."},{"key":"10.1016\/j.jdent.2024.105373_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2023.104637","article-title":"Multi-stage Unet segmentation and automatic measurement of pharyngeal airway based on lateral cephalograms","volume":"136","author":"Meng","year":"2023","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0024","first-page":"1","article-title":"Deep learning hybrid method to automatically diagnose periodontal bone loss and stage periodontitis","volume":"10","author":"Chang","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jdent.2024.105373_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2024.105063","article-title":"Conquering Class Imbalances in Deep Learning-based Segmentation of Dental Radiographs with Different Loss Functions","author":"B\u00fcttner","year":"2024","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0026","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1902\/jop.2000.71.1.96","article-title":"Periodontal probing: probe tip diameter","volume":"71","author":"Garnick","year":"2000","journal-title":"J. Periodontol."},{"key":"10.1016\/j.jdent.2024.105373_bib0027","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1111\/jcpe.12939","article-title":"Plaque-induced gingivitis: case definition and diagnostic considerations","volume":"45","author":"Trombelli","year":"2018","journal-title":"J. Clin. Periodontol."},{"key":"10.1016\/j.jdent.2024.105373_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2023.104430","article-title":"Deep learning: A primer for dentists and dental researchers","volume":"130","author":"Mohammad-Rahimi","year":"2023","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2023.104607","article-title":"Robust automated teeth identification from dental radiographs using deep learning","volume":"136","author":"Xu","year":"2023","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0031","doi-asserted-by":"crossref","unstructured":"T. Lin, P. Dollar, R. Girshick, K. He, B. Hariharan, S. Belongie, Feature Pyramid Networks for Object Detection. 2017.","DOI":"10.1109\/CVPR.2017.106"},{"key":"10.1016\/j.jdent.2024.105373_bib0032","unstructured":"J. Chen, Y. Lu, Q. Yu, X. Luo, E. Adeli, Y. Wang, L. Lu, A.L. Yuille, Y. Zhou. TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. (2021)."},{"key":"10.1016\/j.jdent.2024.105373_bib0033","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1109\/TPAMI.2018.2844175","volume":"42","author":"He","year":"2020","journal-title":"IEEe Trans. Pattern. Anal. Mach. Intell."},{"key":"10.1016\/j.jdent.2024.105373_bib0034","first-page":"1","article-title":"Dental X-ray image segmentation using a U-shaped deep convolutional network","volume":"1","author":"Olaf","year":"2015","journal-title":"International Symposium on Biomedical Imaging"},{"key":"10.1016\/j.jdent.2024.105373_bib0036","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.compbiomed.2012.12.007","article-title":"Principal direction of inertia for 3D trajectories from patient-specific TMJ movement","volume":"43","author":"Kim","year":"2013","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.jdent.2024.105373_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2020.103346","article-title":"Effect of preparation design on the fracture behavior of ceramic occlusal veneers in maxillary premolars","volume":"97","author":"Huang","year":"2020","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.105373_bib0038","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.tripleo.2006.11.005","article-title":"Direct measurement of trabecular bone anisotropy using directional fractal dimension and principal axes of inertia.Oral Surg","volume":"104","author":"Yi","year":"2007","journal-title":"Oral Med. Oral Pathol. Oral Radiol. Endod."},{"key":"10.1016\/j.jdent.2024.105373_bib0039","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1002\/JPER.18-0006","article-title":"Staging and grading of periodontitis: framework and proposal of a new classification and case definition","volume":"89","author":"Tonetti","year":"2018","journal-title":"J. Periodontol."},{"key":"10.1016\/j.jdent.2024.105373_bib0040","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1016\/j.jds.2023.09.032","article-title":"Convolutional-neural-network-based radiographs evaluation assisting in early diagnosis of the periodontal bone loss via periapical radiograph","volume":"19","author":"Chen","year":"2024","journal-title":"J. Dent. Sci."},{"key":"10.1016\/j.jdent.2024.105373_bib0041","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cmpb.2017.06.012","article-title":"Automatic methods for alveolar bone loss degree measurement in periodontitis periapical radiographs","volume":"148","author":"Lin","year":"2017","journal-title":"Comput Methods Progr Biomed"},{"key":"10.1016\/j.jdent.2024.105373_bib0042","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1007\/s11548-021-02431-z","article-title":"Automating periodontal bone loss measurement via dental landmark localization","volume":"16","author":"Danks","year":"2021","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"10.1016\/j.jdent.2024.105373_bib0043","doi-asserted-by":"crossref","first-page":"7531","DOI":"10.1038\/s41598-020-64509-z","article-title":"Deep learning hybrid method to automatically diagnose periodontal bone loss and stage periodontitis","volume":"10","author":"Chang","year":"2020","journal-title":"Sci. Rep."}],"container-title":["Journal of Dentistry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0300571224005438?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0300571224005438?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T10:10:26Z","timestamp":1729505426000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0300571224005438"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":41,"alternative-id":["S0300571224005438"],"URL":"https:\/\/doi.org\/10.1016\/j.jdent.2024.105373","relation":{},"ISSN":["0300-5712"],"issn-type":[{"value":"0300-5712","type":"print"}],"subject":[],"published":{"date-parts":[[2024,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Deep learning method to automatically diagnose periodontal bone loss and periodontitis stage in dental panoramic radiograph","name":"articletitle","label":"Article Title"},{"value":"Journal of Dentistry","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jdent.2024.105373","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"105373"}}