Journal of Peking University (Health Sciences) ›› 2021, Vol. 53 ›› Issue (5): 990-994. doi: 10.19723/j.issn.1671-167X.2021.05.030

Previous Articles     Next Articles

Three-dimensional morphology analysis of the supraosseous gingival profile of periodontally healthy maxillary anterior teeth

YANG Gang1,HU Wen-jie1,(),CAO Jie1,LIU Deng-gao2   

  1. 1. Department of Periodontology, Beijing 100081, China
    2. Department of Radiology, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing 100081, China
  • Received:2019-10-23 Online:2021-10-18 Published:2021-10-11
  • Contact: Wen-jie HU E-mail:huwenjie@pkus.bjmu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(61876005);Capital Medical Development and Research Fund(2011-4025-04)

RICH HTML

  

Abstract:

Objective: To measure the three-dimensional morphology of the labial supraosseous gingiva (SOG) and the thickness of related labial bone in maxillary anterior teeth of periodontally healthy Han nationality youth using soft tissue indirect imaging cone-beam computed tomography (CBCT). Methods: Twenty-five periodontally healthy subjects (11 males and 14 females) with 150 maxillary anterior teeth were involved in this study. A special impression with radiopaque material including the maxillary teeth was made, then a CBCT scan with the elastomeric matrix in position was taken for each subject. The imaging data were generated and transferred to a volumetric imaging software in which three-dimensional reconstruction was conducted and the image analyses were carried out. Measurements were made at the site of labial center of the maxillary anterior teeth. The height of the SOG, the distance between cemento-enamel junction (CEJ) and bone crest, the gingival thickness at the CEJ, and the thickness of bone 2 mm below the labial bone crest were measured and the correlation analysis between the parameters was made. All the data analyses were performed using SPSS 22.0. The data were analyzed with ANVOA and Pearson correlation tests with the significance level at α=0.05. Results: The mean SOG values were (3.49±0.70) mm, (3.48±0.81) mm, and (3.54±0.67) mm for central incisors, lateral incisors and canines, respectively. There were no statistically significant differences among the different sites (P>0.05). The mean gingival thickness values were (1.45±0.23) mm, (1.13±0.24) mm, (1.14±0.22) mm for central incisors, lateral incisors and canines, respectively. The gingival thickness of the central incisors was the largest among the maxillary anterior teeth with statistically significant difference (P<0.05). No correlation was found between the SOG and gingival thickness among the maxillary anterior teeth (P>0.05). Conclusion: The gingival thickness of central incisors was the largest and the supraosseous gingival height had no correlation with gingival thickness among the periodontally healthy maxillary anterior teeth.

Key words: Cone-beam computed tomography, Gingiva, Imaging, three-dimensional

CLC Number: 

  • R783

Figure 1

Image of indirect soft tissue imaging CBCT scan showing clear visualization of the gingival profile (A) and measurement of various parameters (B) CBCT, cone-beam computed tomography; CEJ, cemento-enamel junction; BC, bone crest; CEJ-BC, the distance between CEJ and BC; SOG, supraosseous gingiva; GT, gingival thickness; BT, thickness of bone."

Table 1

Measurements of gingival thickness, the distance between CEJ and bone crest, supraosseous gingival height in the maxillary anterior teeth by indirect soft tissue imaging CBCT"

Teeth CEJ-BC/mm, x ?±s SOG/mm, x ?±s GT/mm, x ?±s BT/mm, x ?±s
Central incisor 1.70±0.43* 3.54±0.67 1.44±0.23* 1.19±0.25
Lateral incisor 1.95±0.50 3.48±0.81 1.13±0.24 1.05±0.34*
Canine 1.88±0.58 3.49±0.71 1.14±0.22 1.22±0.42

Table 2

Measurements of gingival thickness, the distance between CEJ and bone crest, supraosseous gingival height in the maxillary anterior teeth between different genders"

Teeth Gender CEJ-BC/mm, x ?±s SOG/mm, x ?±s GT/mm, x ?±s BT/mm, x ?±s
Central incisor Male 1.69±0.45 3.54±0.59 1.43±0.27 1.19±0.28
Female 1.70±0.42 3.45±0.63 1.47±0.20 1.19±0.23
Lateral incisor Male 1.94±0.60 3.54±0.78 1.16±0.31 1.05±0.41
Female 1.95±0.45 3.56±0.75 1.11±0.19 1.05±0.29
Canine Male 1.73±0.40 3.59±0.57 1.23±0.23* 1.32±0.52
Female 1.98±0.65 3.43±0.76 1.09±0.20 1.14±0.32
[1] Arora R, Narula S, Sharma R, et al. Supracrestal gingival tissue: Assessing relation with periodontal biotypes in a healthy periodon-tium [J]. Int J Periodontics Restorative Dent, 2013, 33(6):763-771.
doi: 10.11607/prd.1501
[2] Perez JR, Smukler H, Nunn M E. Clinical evaluation of the supraosseous gingivae before and after crown lengthening [J]. J Periodontol, 2007, 78(6):1023-1030.
pmid: 17539715
[3] Gargiulo AW, Wentz FM, Orban B. Dimensions and relations of the dentogingival junction in humans [J]. J Periodontol, 1961, 32(3):261-267.
doi: 10.1902/jop.1961.32.3.261
[4] Kois JC. Altering gingival levels: The restorative connection part I: Biologic variables [J]. J Esthet Restor Dent, 1994, 6(1):3-7.
doi: 10.1111/j.1708-8240.1994.tb00825.x
[5] Vacek JS, Gher ME, Assad DA, et al. The dimensions of the human dentogingival junction [J]. Int J Periodontics Restorative Dent, 1994, 14(2):154-165.
[6] Fischer KR, Grill E, Jockel-Schneider Y, et al. On the relationship between gingival biotypes and supracrestal gingival height, crown form and papilla height [J]. Clin Oral Implants Res, 2014, 25(8):894-898.
doi: 10.1111/clr.2014.25.issue-8
[7] 乐迪, 张豪, 胡文杰, 等. 牙周探诊法判断牙龈生物型的初步研究 [J]. 中华口腔医学杂志, 2012, 47(2):81-84.
[8] 曹洁, 胡文杰, 张豪, 等. 基于锥形束计算机体层摄影术测量牙龈厚度 [J]. 北京大学学报(医学版), 2013, 45(1):135-139.
[9] 张艳玲, 张豪, 胡文杰, 等. 120名汉族青年前段牙弓唇侧角化龈宽度的测量 [J]. 中华口腔医学杂志, 2010, 45(8):477-481.
[10] Zhang YL, Le D, Hu WJ, et al. Assessment of dynamic smile and gingival contour in young Chinese people [J]. Int Dent J, 2015, 65(4):182-187.
doi: 10.1111/idj.12174
[11] Perez JR, Smukler H, Nunn ME. Clinical dimensions of the supraosseous gingivae in healthy periodontium [J]. J Periodontol, 2008, 79(12):2267-2272.
doi: 10.1902/jop.2008.080101 pmid: 19053916
[12] Cao J, Hu WJ, Zhang H, et al. A novel technique for measurement of dentogingival tissue by cone beam computed tomography [J]. Oral Surg Oral Med Oral Pathol Oral Radiol, 2015, 119(2):e82-e87.
doi: 10.1016/j.oooo.2014.10.022
[13] Alves PHM, Alves TCLP, Pegoraro TA, et al. Measurement pro-perties of gingival biotype evaluation methods [J]. Clin Implant Dent Relat Res, 2018, 20(3):280-284.
doi: 10.1111/cid.2018.20.issue-3
[14] Hausmann E, Allen K, Clerehugh V. What alveolar crest level on a bite-wing radiograph represents bone loss? [J]. J Periodontol, 1991, 62(9):570-572.
pmid: 1941497
[15] Ghassemian M, Nowzari H, Lajolo C, et al. The thickness of facial alveolar bone overlying healthy maxillary anterior teeth [J]. J Periodontol, 2012, 83(2):187-197.
doi: 10.1902/jop.2011.110172 pmid: 21692627
[16] Nowzari H, Molayem S, Chiu CH, et al. Cone beam computed tomographic measurement of maxillary central incisors to determine prevalence of facial alveolar bone width ≥2 mm [J]. Clin Implant Dent Relat Res, 2012, 14(4):595-601.
doi: 10.1111/cid.2012.14.issue-4
[17] Taylor R. Interpretation of the correlation coefficient: A basic review [J]. J Diagn Med Sonogr, 1990, 6(1):35-39.
doi: 10.1177/875647939000600106
[18] Kao RT, Fagan MC, Conte GJ. Thick vs thin gingival biotypes: A key determinant in treatment planning for dental implants [J]. J Calif Dent Assoc, 2008, 36(3):193-198.
[19] Müller HP, Könönen E. Variance components of gingival thickness [J]. J Periodontal Res, 2005, 40(3):239-244
pmid: 15853970
[20] Fu JH, Yeh CY, Chan HL, et al. Tissue biotype and its relation to the underlying bone morphology [J]. J Periodontol, 2010, 81(4):569-574.
doi: 10.1902/jop.2009.090591
[21] La Rocca AP, Alemany AS, Levi P Jr. Anterior maxillary and mandibular biotype: Relationship between gingival thickness and width with respect to underlying bone thickness [J]. Implant Dent, 2012, 21(6):507-515.
doi: 10.1097/ID.0b013e318271d487
[22] Frumkin N, Via S, Klinger A. Evaluation of the width of the alveolar bone in subjects with different gingival biotypes: A prospective cohort study using cone beam computed tomography [J]. Quintessence Int, 2017, 48(3):209-216.
[23] Cook DR, Mealey BL, Verrett RG, et al. Relationship between clinical periodontal biotype and labial plate thickness: An in vivo study [J]. Int J Periodontics Restorative Dent, 2011, 31(4):345-354.
[24] Batista EL, Moreira CC, Batista FC, et al. Altered passive eruption diagnosis and treatment: A cone beam computed tomography-based reappraisal of the condition [J]. J Clin Periodontol, 2012, 39(11):1089-1096.
doi: 10.1111/j.1600-051X.2012.01940.x pmid: 22966787
[1] Yuxuan TIAN,Mingjian RUAN,Yi LIU,Derun LI,Jingyun WU,Qi SHEN,Yu FAN,Jie JIN. Predictive effect of the dual-parametric MRI modified maximum diameter of the lesions with PI-RADS 4 and 5 on the clinically significant prostate cancer [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 567-574.
[2] Shishi BO,Chengzhi GAO. Tooth segmentation and identification on cone-beam computed tomography with convolutional neural network based on spatial embedding information [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 735-740.
[3] Yuru HU,Juan LIU,Wenjing LI,Yibing ZHAO,Qiqiang LI,Ruifang LU,Huanxin MENG. Relationship between short-chain fatty acids in the gingival crevicular fluid and periodontitis of stage Ⅲ or Ⅳ [J]. Journal of Peking University (Health Sciences), 2024, 56(2): 332-337.
[4] Liang LYU,Mingjin ZHANG,Aonan WEN,Yijiao ZHAO,Yong WANG,Jing LI,Gengchen YANG,Dawei LIU. Preliminary evaluation of chin symmetry with three dimentional soft tissue spatial angle wireframe template [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 106-110.
[5] Bochun MAO,Yajing TIAN,Xuedong WANG,Jing LI,Yanheng ZHOU. Soft and hard tissue changes of hyperdivergent class Ⅱ patients before and after orthodontic extraction treatment [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 111-119.
[6] Xiaotong LING,Liuyang QU,Danni ZHENG,Jing YANG,Xuebing YAN,Denggao LIU,Yan GAO. Three-dimensional radiographic features of calcifying odontogenic cyst and calcifying epithelial odontogenic tumor [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 131-137.
[7] Jiayun DONG,Xuefen LI,Ruifang LU,Wenjie HU,Huanxin MENG. Histopathological characteristics of peri-implant soft tissue in reconstructed jaws with vascularized bone flaps [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 25-31.
[8] Deng-hui DUAN,Hom-Lay WANG,En-bo WANG. Role of collagen membrane in modified guided bone regeneration surgery using buccal punch flap approach: A retrospective and radiographical cohort study [J]. Journal of Peking University (Health Sciences), 2023, 55(6): 1097-1104.
[9] Yi LIU,Chang-wei YUAN,Jing-yun WU,Qi SHEN,Jiang-xi XIAO,Zheng ZHAO,Xiao-ying WANG,Xue-song LI,Zhi-song HE,Li-qun ZHOU. Diagnostic efficacy of prostate cancer using targeted biopsy with 6-core systematic biopsy for patients with PI-RADS 5 [J]. Journal of Peking University (Health Sciences), 2023, 55(5): 812-817.
[10] Chang-wei YUAN,De-run LI,Zhi-hua LI,Yi LIU,Gang-zhi SHAN,Xue-song LI,Li-qun ZHOU. Application of dynamic contrast enhanced status in multiparametric magnetic resonance imaging for prostatic cancer with PI-RADS 4 lesion [J]. Journal of Peking University (Health Sciences), 2023, 55(5): 838-842.
[11] Zhan-yi ZHANG,Fan ZHANG,Ye YAN,Cai-guang CAO,Chang-jian LI,Shao-hui DENG,Yue-hao SUN,Tian-liang HUANG,Yun-he GUAN,Nan LI,Min LU,Zhen-hua HU,Shu-dong ZHANG. Near-infrared targeted probe designed for intraoperative imaging of prostatic neurovascular bundles [J]. Journal of Peking University (Health Sciences), 2023, 55(5): 843-850.
[12] Zhuo-hua LIN,Ru-yi CAI,Yang SUN,Rong MU,Li-gang CUI. Methodology and clinical use of superb microvascular imaging in assessing micro-circulation changes of fingertips in systemic sclerosis [J]. Journal of Peking University (Health Sciences), 2023, 55(4): 636-640.
[13] Ying LIU,Ran HUO,Hui-min XU,Zheng WANG,Tao WANG,Hui-shu YUAN. Correlations between plaque characteristics and cerebral blood flow in patients with moderate to severe carotid stenosis using magnetic resonance vessel wall imaging [J]. Journal of Peking University (Health Sciences), 2023, 55(4): 646-651.
[14] Qiang FU,Guan-ying GAO,Yan XU,Zhuo-hua LIN,You-jing SUN,Li-gang CUI. Comparative study of ultrasound and magnetic resonance imaging in the diagnosis of asymptomatic anterosuperior acetabular labrum tears [J]. Journal of Peking University (Health Sciences), 2023, 55(4): 665-669.
[15] Xiang LIU,Hui-hui XIE,Yu-feng XU,Xiao-dong ZHANG,Xiao-feng TAO,Lin LIU,Xiao-ying WANG. Value of artificial intelligence in the improvement of diagnostic consistency of radiology residents [J]. Journal of Peking University (Health Sciences), 2023, 55(4): 670-675.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!