Mimics在颞下颌关节紊乱病髁突体积、表面积及形态学指数测量中的应用

doi:10.13591/j.cnki.kqyx.2022.12.008

Abstract

Abstract: Objective To study the morphological differences of condyles in different genders, positions, normal healthy people and temporomandibular disorders(TMD)patients by using Mimics software. Methods Forty subjects were enrolled in our study from the Department of Stomatology, Taizhou Central Hospital(Taizhou University Hospital). Twenty patients with TMD and 20 volunteers without temporomandibular joint(TMJ)disorders were included. All subjects received CBCT examination of the TMJ. Three-dimensional reconstruction of the condyle was conducted by Mimics 19.0 software and condylar volume, surface area and morphological index(MI) were measured and statistically analyzed. Results The condylar volume, surface area and MI of TMD patients were lower than those of normal population(P<0.05).The condylar volume, surface area and MI of males were higher than those of females(P<0.05), and there were no significant differences between left and right sides in the condylar volume, surface area and MI(P>0.05). Conclusion Patients with TMD have smaller condylar volume and surface area than normal population. Mimics can effectively measure condylar volume and surface area, and provide assistance for establishing reference values of condylar volume and surface area in normal population and patients with TMD.

Key words: condylar, temporomandibular disorder, cone beam computed tomography, Mimics software

CLC Number:

R782.6

MOU Tingchen, FENG Jianying, ZHANG Zhenxing. Application of Mimics in the measurement of condylar volume, surface area and morphological index in temporomandibular disorders[J]. Stomatology, 2022, 42(12): 1097-1100.

References

[1] Krisjane Z, Urtane I, Krumina G, et al. Condylar and mandibular morphological criteria in the 2D and 3D MSCT imaging for patients with Class Ⅱ division 1 subdivision malocclusion[J]. Stomatologija, 2007, 9(3):67-71.
[2] Alexiou K, Stamatakis H, Tsiklakis K. Evaluation of the severity of temporomandibular joint osteoarthritic changes related to age using cone beam computed tomography[J]. Dentomaxillofac Radiol, 2009, 38(3):141-147.
[3] Roza MR, Silva LAF, Januario AL, et al. Cone beam computed tomography in the diagnosis of temporomandibular joint alterations in cats[J]. J Feline Med Surg, 2011, 13(6):393-398.
[4] Willems NMBK, Langenbach GEJ, Everts V, et al. The microstructural and biomechanical development of the condylar bone: A review[J]. Eur J Orthod, 2014, 36(4):479-485.
[5] Jiang LT, Xie YY, Wei L, et al. Quantitative proteomic analysis of rat condylar chondrocytes during postnatal development[J]. Chin J Dent Res, 2016, 19(3):133-143.
[6] Schiffman E, Ohrbach R, Truelove E, et al. Diagnostic criteria for temporomandibular disorders (DC/TMD) for clinical and research applications: Recommendations of the international RDC/TMD consortium network^* and orofacial pain special interest group[J]. J Oral Facial Pain Headache, 2014, 28(1):6-27.
[7] Tripathi R, Sharma N, Dwivedi AN, et al. Severity of soft tissue injury within the temporomandibular joint following condylar fracture as seen on magnetic resonance imaging and its impact on outcome of functional management[J]. J Oral Maxillofac Surg, 2015, 73(12):2379.e1-2379.e7.
[8] 刘琦, 魏小二, 邹德荣, 等. Mimics软件在髁突体积和表面积测量中的应用[J]. 口腔医学研究, 2017, 33(4):404-408.
[9] 冯刚, 周建萍, 吴杨, 等. 锥束CT测量安氏Ⅰ类错牙合人群下颌髁突的体积和表面积[J]. 中国组织工程研究与临床康复, 2011, 15(43):8014-8018.
[10] Lentzen MP, Riekert M, Buller J, et al. A volumetric study of mandibular condyles in orthognathic patients by semiautomatic segmentation[J]. Oral Maxillofac Surg, 2022, 26(2):205-212.
[11] Lentzen MP, Riekert M, Buller J, et al. Volumetric and morphological analysis of mandibular condyles of angle Class 2 and 3 malocclusion patients[J]. J Craniofac Surg, 2022, 33(1):e30-e34.
[12] Safi AF, Kauke M, Grandoch A, et al. Volumetric analysis of 700 mandibular condyles based upon cone beam computed tomography[J]. J Craniofac Surg, 2018, 29(2):506-509.
[13] Tecco S, Saccucci M, Nucera R, et al. Condylar volume and surface in Caucasian young adult subjects[J]. BMC Med Imaging, 2010, 10:28.
[14] Akbulut A, Kιlιnç DD. Evaluation of condyle position in patients with Angle Class Ⅰ, Ⅱ, and Ⅲ malocclusion using cone-beam computed tomography panoramic reconstructions[J]. Oral Radiol, 2019, 35(1):43-50.
[15] 陈思思. 颞下颌关节紊乱病与髁突形态和位置相关性的CBCT研究[D]. 昆明: 昆明医科大学, 2018.
[16] 喻骏一. 下颌偏斜患者双侧髁突三维形态结构的对比研究[D]. 杭州: 浙江大学, 2015.
[17] 王谋, 张定铭, 冯刚, 等. 锥形束CT测量单侧后牙正锁牙合髁突的体积和表面积[J]. 中国组织工程研究, 2012, 16(13):2358-2361.
[18] Šallι GA, Öztürkmen Z. Semi-automated three-dimensional volumetric evaluation of mandibular condyles[J]. Oral Radiol, 2021, 37(1):66-73.
[19] 宋政律, 钱丽雯, 程鸣佳, 等. 恒牙列安氏Ⅰ、Ⅱ~1、Ⅱ~2、Ⅲ类颞下颌关节骨性结构的锥形束CT比较[J]. 上海口腔医学, 2019, 28(2):141-147.
[20] Song WC, Kim JI, Kim SH, et al. Female-to-male proportions of the head and face in Koreans[J]. J Craniofac Surg, 2009, 20(2):356-361.
[21] 孙杨, 凌彬, 贾馨雨, 等. 学龄期儿童下颌骨髁突体积、表面积及形态学指数与年龄相关变化[J]. 新疆医科大学学报, 2019, 42(7):848-851, 855.
[22] Nawawi AP, Rikmasari R, Kurnikasari E, et al. Volumetric analysis of normal condyles and those with disc displacement with reduction in the Indonesian population: A CBCT study[J]. Imaging Sci Dent, 2022, 52(1):103-108.
[23] Colonna A, Manfredini D, Lombardo L, et al. Comparative analysis of jaw morphology and temporomandibular disorders: A three-dimension imaging study[J]. Cranio, 2020, 38(3):158-167.
[24] Endo M, Terajima M, Goto TK, et al. Three-dimensional analysis of the temporomandibular joint and Fossa-condyle relationship[J]. Orthodontics (Chic), 2011, 12(3): 210-221.

Application of Mimics in the measurement of condylar volume, surface area and morphological index in temporomandibular disorders

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	LEI Qiaoling,HE Wendan,LEI Qiyin,XIONG Peiying,WANG Zhongdong. Effect of miniscrew-assisted rapid palatal expansion on mandibular position [J]. Stomatology, 2023, 43(2): 135-140.
[2]	QI Hao, MA Su, YUAN Zhaoyang, WU Guodong, LIU Peihong. Spatial and temporal expression of FAM20C in mandibular condyle development of mice [J]. Stomatology, 2022, 42(7): 600-603.
[3]	RONG Di, WU Huili, WANG Ying, WANG Jingyan, ZHANG Juan, ZHOU Guangchao, GU Peiyu, WU Daming. Influence of root canal sealers and scanning parameters of cone beam computed tomography on diagnosis of vertical root fissure [J]. Stomatology, 2022, 42(6): 529-533.
[4]	LIU Yu, ZHAO Bin. Research progress on metal artifacts in oral and maxillofacial cone beam CT [J]. Stomatology, 2022, 42(2): 165-169.
[5]	. Association between FGFR3 and EXT gene mutations and condylar osteochondroma [J]. , 2022, 42(11): 995-999.
[6]	GU Jiaona, JIAO Boqiang, LI Zhiyong. Progress of etiological research on temporomandibular joint anterior disc displacement [J]. Stomatology, 2022, 42(10): 942-945.
[7]	. The reliability of orthodontic mini-implant placement between the maxillary central incisors assessed by cone beam computed tomography [J]. , 2021, 41(8): 715-719.
[8]	. Quantitative study of the relationship between the incisive canal and maxillary central incisors [J]. , 2021, 41(7): 627-630.
[9]	. Effects of different types of malocclusions on morphology and function of temporomandibular joint [J]. , 2020, 40(4): 381-384.
[10]	. Influence of occlusal splint on the management of orofacial pain related to temporomandibular disorders [J]. , 2019, 39(5): 472-476.
[11]	. Condylar chondroblastoma: a case report and review of the literature [J]. , 2018, 38(7): 639-642.
[12]	. Contrastive research of clinical effects of the minimally invasive surgery techniques combined with CBCT examination and traditional technologies on the extraction of embedded supernumerary teeth [J]. , 2018, 38(6): 543-547.
[13]	. Study on root and canal morphology of mandibular premolars by cone-beam computed tomography [J]. , 2018, 38(4): 346-351.
[14]	. Comparative study on the CBCT image of the mandibular ameloblastoma and keratocystic odontogenic tumor [J]. , 2018, 38(4): 320-323.
[15]	. Research progress of relativity between curve of Wilson and temporomandibular joint disorders [J]. , 2018, 38(2): 181-184.