دورية أكاديمية

An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images.

التفاصيل البيبلوغرافية
العنوان: An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images.
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.)
References: Int J Oral Maxillofac Surg. 2018 Apr;47(4):511-517. (PMID: 29103834)
Korean J Orthod. 2022 Jan 25;52(1):29-41. (PMID: 35046140)
Int J Oral Maxillofac Surg. 2019 Nov;48(11):1415-1433. (PMID: 30910409)
Int J Oral Maxillofac Surg. 1998 Apr;27(2):81-91. (PMID: 9565261)
Dentomaxillofac Radiol. 2020 Mar;49(3):20190364. (PMID: 31674794)
Oral Surg Oral Med Oral Pathol Oral Radiol. 2017 Jun;123(6):661-669. (PMID: 28392230)
PLoS One. 2022 Oct 12;17(10):e0275033. (PMID: 36223330)
Imaging Sci Dent. 2016 Mar;46(1):25-31. (PMID: 27051636)
Int J Oral Maxillofac Surg. 2018 Apr;47(4):445-455. (PMID: 28966066)
J Formos Med Assoc. 2022 Jan;121(1 Pt 1):98-107. (PMID: 33583702)
J Clin Med. 2023 Jul 27;12(15):. (PMID: 37568349)
Int J Oral Maxillofac Surg. 2017 Dec;46(12):1569-1578. (PMID: 28728709)
Cranio. 2015 Oct;33(4):276-84. (PMID: 26715130)
J Pers Med. 2023 Feb 16;13(2):. (PMID: 36836577)
J Craniofac Surg. 2019 Jan;30(1):169-174. (PMID: 30358743)
Int J Comput Assist Radiol Surg. 2023 Aug;18(8):1479-1488. (PMID: 36637748)
Braz Oral Res. 2021 Feb 12;35:e27. (PMID: 33605357)
Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2000 May;89(5):542-52. (PMID: 10807709)
J Dent (Shiraz). 2016 Dec;17(4):318-325. (PMID: 27942547)
Cranio. 2022 May 4;:1-11. (PMID: 35506653)
J Oral Maxillofac Surg. 2012 Sep;70(9):2143-52. (PMID: 22115974)
J Clin Exp Dent. 2020 Jul 01;12(7):e695-e703. (PMID: 32904976)
Angle Orthod. 2014 Mar;84(2):316-21. (PMID: 23944223)
J Dent. 2023 May;132:104475. (PMID: 36870441)
J Oral Maxillofac Surg. 2013 Sep;71(9):1588-97. (PMID: 23769460)
J Oral Maxillofac Surg. 2023 Nov;81(11):1353-1359. (PMID: 37640238)
J Craniomaxillofac Surg. 2015 May;43(4):462-8. (PMID: 25779607)
J Craniofac Surg. 2021 Mar-Apr 01;32(2):546-551. (PMID: 32833820)
Br J Oral Maxillofac Surg. 2012 Mar;50(2):176-80. (PMID: 21440343)
J Craniomaxillofac Surg. 2018 Apr;46(4):668-673. (PMID: 29534912)
Quant Imaging Med Surg. 2021 Apr;11(4):1628-1650. (PMID: 33816197)
Clin Oral Investig. 2020 Aug;24(8):2663-2672. (PMID: 31728734)
Nat Methods. 2021 Feb;18(2):203-211. (PMID: 33288961)
Am J Orthod Dentofacial Orthop. 2021 May;159(5):613-626. (PMID: 33712310)
BMC Oral Health. 2021 Sep 27;21(1):475. (PMID: 34579690)
Sci Rep. 2022 Nov 29;12(1):20590. (PMID: 36446860)
Clin Oral Investig. 2022 Dec;26(12):7253-7263. (PMID: 35978222)
Biology (Basel). 2022 Sep 14;11(9):. (PMID: 36138832)
Clin Oral Investig. 2023 Jul;27(7):3683-3693. (PMID: 37017754)
J Craniomaxillofac Surg. 2015 Nov;43(9):1716-22. (PMID: 26321064)
Angle Orthod. 2022 Nov 21;:. (PMID: 36409284)
Int J Oral Maxillofac Surg. 2020 Oct;49(10):1303-1310. (PMID: 32173246)
J Craniomaxillofac Surg. 2022 Dec;50(12):915-922. (PMID: 36621385)
J Craniomaxillofac Surg. 2000 Apr;28(2):85-90. (PMID: 10958420)
Dentomaxillofac Radiol. 2022 May 01;51(4):20210499. (PMID: 35143288)
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
الوصف
تدمد:1476-542X
DOI:10.1093/dmfr/twae017