Journal of Peking University(Health Sciences) ›› 2019, Vol. 51 ›› Issue (1): 182-186. doi: 10.19723/j.issn.1671-167X.2019.01.031

Previous Articles     Next Articles

Accuracy analysis of computer assisted navigation for condylectomy via intraoral approach

Ming-zhe LI1,2,Xiao-xia WANG1,(),Zi-li LI1,Biao YI1,Cheng LIANG1,Wei HE1   

  1. 1. Department of Oral and Maxilloficial Surgery, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
    2. Department of Stomatology,Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China
  • Received:2017-03-06 Online:2019-02-18 Published:2019-02-26
  • Contact: Xiao-xia WANG E-mail:doctorwang66@sina.com
  • Supported by:
    Supported by the Capital Featured Clinical Application Research Project(Z161100000516114)

Abstract:

Objective: To explore the application accuracy of virtual preoperative plan after the condylectomy via intraoral approach under computer assisted surgical navigation, and to analyze the location and cause of the surgical deviation to provide reference for the surgical procedure improvement in the future. Methods: In the study, 23 cases with condylar hypertrophy (11 with condylar osteochondroma and 12 with condylar benign hypertrophy) in Department of Oral and Maxilloficial Surgery, Peking University School and Hospital of Atomatology from December 2012 to December 2016 were treated by condylectomy via intraoral approach under computer assisted surgical navigation. The patient’s spiral CT data were imported into ProPlan software before operation, and the affected mandibular ramus was reconstructed three-dimensionally. The condylar osteotomy line was designed according to the lesion range, and the preoperative design model was generated and introduced into the BrainLab navigation system. Under the guidance of computer navigation, the intraoral approach was used to complete the condylar resection according to the preoperative design of the osteotomy line. Cranial spiral CT of the craniofacial region was taken within one week after operation. Three-dimensional reconstruction of the mandibular ramus at the condylectomy side was performed, and the condylar section was divided into six segments (anterolateral, anterior, anteromedial, posteromedial, posterior, and posterolateral) and the corresponding regional measurement points P1 to P6 were defined. Then the preoperative virtual model and the postoperative actual model were matched by Geomagic studio 12.0 to compare the differences and to analyze the accuracy of the operation. Results: All the patients had successfully accomplished the operation and obtained satisfactory results. Postoperative CT showed that the condyle lesion was completely resected, and the condylar osteotomy line was basically consistent with the surgical design. No tumor recurrence or temporomandibular joint ankylosis during the follow-up period. The postoperative accuracy analysis of the condylar resection showed that the confidence intervals measured by the six groups of P1 to P6 were(-2.26 mm, -1.89 mm), (-2.30 mm, -1.45 mm),(-3.37 mm, -2.91 mm),(-2.83 mm, -1.75 mm),(-1.13 mm, 0.99 mm), and(-1.17 mm, 0.17 mm), where P3 group was different from the other 5 groups. There was no significant difference between the P5 and P6 groups and the difference between the other four groups was statistically significant. Conclusion: Under the guidance of computer navigation, the intraoral approach can be performed more accurately. The surgical deviation of each part of the osteo-tomy surface is mainly due to excessive resection. The anterior medial area of the anterior medial condyle represents the most excessive resection. The posterior and posterior lateral measurement points represent the posterior condylar area. The average deviation is not large, but the fluctuation of the deviation value is larger than that of the other four groups. The accuracy of computer-assisted subtotal resection has yet to be improved.

Key words: Computer assisted surgical navigation, Mandibular condylectomy, Temporomandibular joint

CLC Number: 

  • R782.05

Figure 1

Determine the condylectomy line by computer assisted surgical navigation in BrainLAB CMF"

Figure 2

Match the preoperative and postoperative models by manual and global registration functions A,run the manual registration function in Geomagic; B,run the global registration function in Geomagic."

Figure 3

Comparison of preoperative and postoperative mandibular condylectomy model A,establish a coordinate system in preoperative design model; B,determining measurement points in the postoperative model P1 to P6 are anterior lateral point, anterior side point, anterior medial point, posterior medial point, posterior point, and posterolateral point."

Table 1

Analysis of deviation between each measurement point and surgical design on the condyle"

Measuring point x?±sx?/mm Confidence interval/mm
P1 -1.72±0.27 -2.26,-1.89
P2 -1.87±0.21 -2.30,-1.45
P3 -3.32±0.21 -3.37,-2.91
P4 -2.29±0.27 -2.83,-1.75
P5 -0.55±0.31 -1.13, 0.99
P6 -0.50±0.34 -1.17, 0.17
[1] Luo E, Du W, Li J , et al. Guideline for the treatment of condylar osteochondroma combined with secondary dentofacial deformities[J]. J Craniofac Surg, 2016,27(5):1156-1161.
doi: 10.1097/SCS.0000000000002471 pmid: 27258707
[2] Ord RA, Warburton G, Caccamese JF . Osteochondroma of the condyle: review of 8 cases[J]. Int J Oral Max Surg, 2010,39(6):523-528.
doi: 10.1016/j.ijom.2010.02.015 pmid: 20346630
[3] Mehrotra D, Dhasmana S, Kamboj M , et al. Condylar hyperplasia and facial asymmetry: report of five cases[J]. J Maxillofac Oral Surg, 2011,10(1):50-56.
doi: 10.1007/s12663-010-0141-5 pmid: 3177497
[4] Iizuka T, Schroth G, Laeng RH , et al. Osteochondroma of the mandibular condyle: report of a case.[J]. J Oral Maxillofac Surg, 1996,54(4):495-501.
doi: 10.1016/S0278-2391(96)90127-5 pmid: 8600267
[5] Chen MJ, Yang C, Qiu YT , et al. Osteochondroma of the mandibular condyle: a classification system based on computed tomographic appearances[J]. J Craniofac Surg, 2014,25(5):1703-1706.
doi: 10.1097/SCS.0000000000000898
[6] Wolford LM, Mehra P, Franco P . Use of conservative condylectomy for treatment of osteochondroma of the mandibular condyle[J]. J Oral Maxillofac Surg, 2002,60(3):262-268.
doi: 10.1053/joms.2002.30570 pmid: 11887135
[7] Wolford LM, Mehra P, Reiche-Fischel O , et al. Efficacy of high condylectomy for management of condylar hyperplasia[J]. Am J Orthod Dentofacial Orthop, 2002,121(2):136-151.
doi: 10.1067/mod.2002.118403 pmid: 11840126
[8] 李自力, 王兴, 伊彪 , 等. 口腔内入路髁突切除术的临床应用研究[J]. 现代口腔医学杂志, 2008,22(4):341-344.
[9] Schoen R, Herklotz I, Metzger MC , et al. Endoscopic approach to removal of an osteochondroma of the mandibular condyle[J]. J Oral Maxillofac Surg, 2011,69(6):1657-1660.
doi: 10.1016/j.joms.2009.04.004 pmid: 20591549
[10] 王晓霞, 李自力, 伊彪 , 等. 计算机导航辅助下口内入路髁突切除术的临床应用[J]. 中华口腔医学杂志, 2013,48(6):350-354.
doi: 10.3760/cma.j.issn.1002-0098.2013.06.008
[11] 沈末伦, 余婧爽, 于洪波 . 导航及内镜技术联合正颌手术矫治髁突骨软骨瘤伴颌骨畸形数字化流程的建立和应用[J]. 中华口腔医学杂志, 2017,51(12):728-733.
doi: 10.3760/cma.j.issn.1002-0098.2016.12.006
[12] Ewers R, Schicho K, Undt G , et al. Basic research and 12 years of clinical experience in computer-assisted navigation technology: a review[J]. Int J Oral Maxillofac Surg, 2005,34(1):1-8.
doi: 10.1016/j.ijom.2004.03.018 pmid: 15617960
[13] 赵泽亮, 沈国芳, 石慧敏 , 等. 髁突骨软骨瘤与髁突增生患者的CT表现特点分析[J]. 中国口腔颌面外科杂志, 2012,10(2):139-145.
[14] He Y, Zhang Y, An JG , et al. Zygomatic surface marker-assisted surgical navigation: a new computer-assisted navigation method for accurate treatment of delayed zygomatic fractures[J]. J Oral Ma-xillofac Surg, 2013,71(12):2101-2114.
doi: 10.1016/j.joms.2013.07.003 pmid: 24237774
[15] Widmann G, Stoffner R, Bale R . Errors and error management in image-guided craniomaxillofacial surgery[J]. Oral Surg Oral Med Oral Pathol Oral Radiol Endod, 2009,107(5):701-715.
doi: 10.1016/j.tripleo.2009.02.011 pmid: 19426922
[16] Khadem R, Yeh CC, Sadeghi-Tehrani M , et al. Comparative tracking error analysis of five different optical tracking systems[J]. Comput Aided Surg, 2000,5(2):98-107.
doi: 10.3109/10929080009148876 pmid: 10862132
[17] Luebbers HT, Messmer P, Obwegeser JA , et al. Comparison of different registration methods for surgical navigation in cranio-maxillofacial surgery[J]. J Craniomaxillofac Surg, 2008,36(2):109-116.
doi: 10.1016/j.jcms.2007.09.002 pmid: 18280173
[18] Bell RB, Weimer KA, Dierks EJ , et al. Computer planning and intraoperative navigation for palatomaxillary and mandibular reconstruction with fibular free flaps.[J]. J Oral Maxillofac Surg, 2011,69(3):724.
doi: 10.1016/j.joms.2009.12.040 pmid: 20888108
[1] HAN Wei-hua,LUO Hai-yan,GUO Chuan-bin,NING Qi,MENG Juan-hong. Expression of cartilage oligomeric matrix protein in the synovial chondromatosis of the temporomandibular joint [J]. Journal of Peking University (Health Sciences), 2021, 53(1): 34-39.
[2] ZHOU Jing,LIU Yi. Cone-beam CT evaluation of temporomandibular joint in skeletal class Ⅱ female adolescents with different vertical patterns [J]. Journal of Peking University (Health Sciences), 2021, 53(1): 109-119.
[3] Shuo CHEN,Yang HE,Jin-gang AN,Yi ZHANG. Application of computer-aided virtual mandibular position in the simultaneous treatment of children with temporomandibular joint ankylosis and jaw deformity [J]. Journal of Peking University(Health Sciences), 2019, 51(5): 954-958.
[4] WANG Dan-dan, GAN Ye-hua, MA Xu-chen, MENG Juan-hong. Association between ADAMTS14 gene polymorphism and the temporomandibular joint osteoarthritis in Chinese Han females [J]. Journal of Peking University(Health Sciences), 2018, 50(2): 279-283.
[5] MENG Juan-hong, GUO Yu-xing, LUO Hai-yan, GUO Chuan-bin, MA Xu-chen. Diagnosis and treatment of diffuse tenosynovial giant cell tumor arising from temporomandibular joints [J]. Journal of Peking University(Health Sciences), 2016, 48(6): 1049-1054.
[6] LEI Jie,LIU Mu-qing,FU Kai-yuan. Disturbedsleep, anxiety and stress are possible risk indicators for temporomandibular disorders with myofascialpain [J]. Journal of Peking University(Health Sciences), 2016, 48(4): 692-696.
[7] MENG Juan-hong, GUO Chuan-bin, MA Xu-chen. Diagnosis and treatment of the ganglion cysts and synovial cysts arising from the temporomandibular joints [J]. Journal of Peking University(Health Sciences), 2014, 46(1): 43-47.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] Author. English Title Test[J]. Journal of Peking University(Health Sciences), 2010, 42(1): 1 -10 .
[2] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 188 -191 .
[3] . [J]. Journal of Peking University(Health Sciences), 2009, 41(3): 376 -379 .
[4] . [J]. Journal of Peking University(Health Sciences), 2009, 41(4): 459 -462 .
[5] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 319 -322 .
[6] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 333 -336 .
[7] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 337 -340 .
[8] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 225 -328 .
[9] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 346 -350 .
[10] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 351 -354 .