دورية أكاديمية
An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images.
العنوان: | An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images. |
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المؤلفون: | Shi J; Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510261, China., Lin G; School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, 510515, China., Bao R; Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510261, China., Zhang Z; Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510261, China., Tang J; Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510261, China., Chen W; Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510261, China., Chen H; Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510261, China., Zuo X; Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510261, China., Feng Q; School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, 510515, China., Liu S; Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510261, China. |
المصدر: | Dento maxillo facial radiology [Dentomaxillofac Radiol] 2024 Jun 28; Vol. 53 (5), pp. 325-335. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Oxford University Press Country of Publication: England NLM ID: 7609576 Publication Model: Print Cited Medium: Internet ISSN: 1476-542X (Electronic) Linking ISSN: 0250832X NLM ISO Abbreviation: Dentomaxillofac Radiol Subsets: MEDLINE |
أسماء مطبوعة: | Publication: January 2024- : [Oxford] : Oxford University Press Original Publication: Erlangen, Germany : University Press Erlangen |
مواضيع طبية MeSH: | Cone-Beam Computed Tomography*/methods , Malocclusion, Angle Class II*/diagnostic imaging , Malocclusion, Angle Class II*/surgery , Mandibular Condyle*/diagnostic imaging , Orthognathic Surgical Procedures*, Humans ; Female ; Male ; Adult ; Adolescent ; Young Adult |
مستخلص: | Objectives: Currently, there is no reliable automated measurement method to study the changes in the condylar process after orthognathic surgery. Therefore, this study proposes an automated method to measure condylar changes in patients with skeletal class II malocclusion following surgical-orthodontic treatment. Methods: Cone-beam CT (CBCT) scans from 48 patients were segmented using the nnU-Net network for automated maxillary and mandibular delineation. Regions unaffected by orthognathic surgery were selectively cropped. Automated registration yielded condylar displacement and volume calculations, each repeated three times for precision. Logistic regression and linear regression were used to analyse the correlation between condylar position changes at different time points. Results: The Dice score for the automated segmentation of the condyle was 0.971. The intraclass correlation coefficients (ICCs) for all repeated measurements ranged from 0.93 to 1.00. The results of the automated measurement showed that 83.33% of patients exhibited condylar resorption occurring six months or more after surgery. Logistic regression and linear regression indicated a positive correlation between counterclockwise rotation in the pitch plane and condylar resorption (P < .01). And a positive correlation between the rotational angles in both three planes and changes in the condylar volume at six months after surgery (P ≤ .04). Conclusions: This study's automated method for measuring condylar changes shows excellent repeatability. Skeletal class II malocclusion patients may experience condylar resorption after bimaxillary orthognathic surgery, and this is correlated with counterclockwise rotation in the sagittal plane. Advances in Knowledge: This study proposes an innovative multi-step registration method based on CBCT, and establishes an automated approach for quantitatively measuring condyle changes post-orthognathic surgery. This method opens up new possibilities for studying condylar morphology. (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Institute of Radiology and the International Association of Dentomaxillofacial Radiology. All rights reserved. For permissions, please email: journals.permissions@oup.com.) |
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معلومات مُعتمدة: | 2023K0604 R&D project of Pazhou Lab |
فهرسة مساهمة: | Keywords: CBCT; automated methods; condyle; orthognathic surgery; skeletal class II |
تواريخ الأحداث: | Date Created: 20240502 Date Completed: 20240628 Latest Revision: 20240630 |
رمز التحديث: | 20240630 |
مُعرف محوري في PubMed: | PMC11211682 |
DOI: | 10.1093/dmfr/twae017 |
PMID: | 38696751 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1476-542X |
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DOI: | 10.1093/dmfr/twae017 |