Journal of Peking University (Health Sciences) ›› 2021, Vol. 53 ›› Issue (1): 133-138. doi: 10.19723/j.issn.1671-167X.2021.01.020

Previous Articles     Next Articles

Chinese morphological stages of midpalatal suture and its correlation with Demirjian dental age

GAO Lu,GU Yan()   

  1. Department of Orthodontics, 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
  • Received:2020-08-12 Online:2021-02-18 Published:2021-02-07
  • Contact: Yan GU E-mail:guyan96@126.com
  • Supported by:
    National Natural Science Foundation of China(81970979);Ministry of Science and Technology of China(2018FY101005)

Abstract:

Objective: To investigate the correlation between morphological stages of midpalatal suture (MPS) and Demirjian dental age.Methods: In this retrospective study, 1 076 cone-beam CT (CBCT) images (female: 675, male: 401; age range: 6.0 to 21.0 years) were included. Horizontal view of each sample’s CBCT images was observed, each sample’s MPS stage was recorded, and dental age. MPS stage and dental age were ordered with categorical variables. Therefore, their correlation was investigated through Spearman correlation coefficient analysis and diagnostic test analysis.Results: (1) For left lower second premolar: 95.2% of those in dental age stage B-D were in MPS 1-2, accounting for the largest proportion. 85.3% of those in dental age stage E were in MPS 1-2, still accounting for the largest proportion. Another 14.7% were in MPS 3. 45.1% of those in dental age stage F were in MPS 3, 46.1% in MPS 1-2, and another 8.8% in MPS 4s1. 49.8% of those in dental age stage G were in MPS 3. 24.9% in MPS 4s1, and 18.9% in MPS 1-2. 80.1% of those in dental age stage H were in MPS 4-5. Another 16.3% were in MPS 3. (2) For left lower second molar: 89.7% of those in dental age stage B-D were in MPS 1-2, accounting for the largest proportion. 67.4% of those in dental age stage E were in MPS 1-2, still accounting for the largest proportion. Another 26.1% were in MPS 3. 55.3% of those in dental age stage F were in MPS 3, 34.2% in MPS 1-2, and another 10.5% in MPS 4s1. 50.7% of those in dental age stage G were in MPS 3, 24.3% in MPS 4s1, and 16.8% in MPS 1-2. 83.8% of those in dental age stage H were in MPS 4-5, another 14.2% were in MPS 3. (3) To diagnose MPS stage with dental age, diagnostic pairs with good performance included: Dental age of left lower second molar-MPS: H-4s2, H-5, D-1; Dental age of left lower second premolar-MPS: H-4s2, H-5, G-3. Other diagnostic pairs were of ordinary diagnostic efficiency. (4) For dental age-MPS Spearman correlation analysis, dental age of left lower second molar-MPS had the highest Spearman coefficient (0.68), dental age of left lower second premolar-MPS was the second high (0.64). (5) Dental age stage H of left lower second molar or left lower second premolar indicated that the individual was later than MPS 4s2.Conclusion: Dental age’s diagnostic efficiency for MPS stage is ordinary on the whole, except for some pairs with good performance. Therefore, pre-treatment CBCT examination should be considered as assistance for evaluating maturation and fusion status of midpalatal suture.

Key words: Midpalatal suture, Cone-beam computed tomography, Demirjian dental age, Diagnostic efficiency

CLC Number: 

  • R783.5

Table 1

Frequency distribution of MPS stage and dental age"

MPS stage Dental age of left lower second premolar Dental age of left lower second molar
B C D E F G H Total B C D E F G H Total
1 1 1 13 21 29 30 11 106 1 3 37 16 18 27 4 106
2 0 0 5 8 18 17 13 61 0 0 11 15 8 18 9 61
3 0 0 1 5 46 124 109 285 0 0 6 12 42 136 89 285
4s1 0 0 0 0 6 62 195 263 0 0 0 2 8 65 188 263
4s2 0 0 0 0 2 14 261 277 0 0 0 1 0 18 258 277
5 0 0 0 0 1 2 81 84 0 0 0 0 0 4 80 84
Total 1 1 19 34 102 249 670 1 076 1 3 54 46 76 268 628 1 076

Table 2

Spearman correlation analysis between MPS stage and dental age"

Items Left lower canine Left lower first premolar Left lower second premolar Left lower second molar
Spearman P value Spearman P value Spearman P value Spearman P value
Female 0.578 <0.001 0.557 <0.001 0.602 <0.001 0.667 <0.001
Male 0.668 <0.001 0.662 <0.001 0.676 <0.001 0.699 <0.001
Total 0.618 <0.001 0.605 <0.001 0.636 <0.001 0.683 <0.001

Figure 1

Diagnostic test analysis between MPS stage and dental age: ROC curve A, left lower canine; B, left lower first premolar; C, left lower second premolar; D, left lower second molar. DA, dental age; MPS, midpalatal suture."

Table 3

Diagnostic test analysis between MPS stage and dental age: diagnostic efficiency indexes"

Index Left lower canine Left lower first premolar
DA H-MPS 4s2 DA G-MPS 3 DA H-MPS 5 DA H-MPS 4s2 DA H-MPS 5 DA G-MPS 3
AUC 0.696 0.662 0.649 0.678 0.660 0.642
PLR 1.710 3.066 1.471 1.605 1.488 3.025
Sensitivity 0.946 0.481 0.929 0.946 0.976 0.425
Specificity 0.447 0.843 0.369 0.411 0.344 0.860
Index Left lower second premolar Left lower second molar
DA H-MPS 4s2 DA H-MPS 5 DA G-MPS 3 DA H-MPS 4s2 DA H-MPS 5 DA D-MPS 1
AUC 0.715 0.685 0.639 0.734 0.700 0.666
PLR 1.841 1.624 2.753 2.011 1.724 19.917
Sensitivity 0.942 0.964 0.435 0.931 0.952 0.349
Specificity 0.488 0.406 0.842 0.537 0.448 0.982
[1] Bjork A. Sutural growth of the upper face studied by the implant method[J]. Acta Odontol Scand, 1966,24(2):109-127.
doi: 10.3109/00016356609026122 pmid: 5225742
[2] Melsen B. Palatal growth studied on human autopsy material[J]. Am J Orthod, 1975,68(1):42-54.
doi: 10.1016/0002-9416(75)90158-x pmid: 1056143
[3] Persson M, Thilander B. Palatal suture closure in man from 15 to 35 years of age[J]. Am J Orthod, 1977,72(1):42-52.
doi: 10.1016/0002-9416(77)90123-3 pmid: 267435
[4] Haas AJ. The treatment of maxillary deficiency by opening the midpalatal suture[J]. Angle Orthod, 1965,35:200-217.
doi: 10.1043/0003-3219(1965)035<0200:TTOMDB>2.0.CO;2 pmid: 14331020
[5] McNamara JA Jr, Baccetti T, Franchi L, et al. Rapid maxillary expansion followed by fixed appliances: a long-term evaluation of changes in arch dimensions[J]. Angle Orthod, 2003,73(4):344-353.
doi: 10.1043/0003-3219(2003)073<0344:RMEFBF>2.0.CO;2 pmid: 12940553
[6] Baccetti T, Franchi L, Cameron CG, et al. Treatment timing for rapid maxillary expansion[J]. Angle Orthod, 2001,71(5):343-350.
doi: 10.1043/0003-3219(2001)071<0343:TTFRME>2.0.CO;2 pmid: 11605867
[7] Rungcharassaeng K, Caruso JM, Kan JY, et al. Factors affecting buccal bone changes of maxillary posterior teeth after rapid maxillary expansion[J]. Am J Orthod Dentofacial Orthop, 2007,132(4):428.
doi: 10.1016/j.ajodo.2007.02.052 pmid: 17920493
[8] Barber AF, Sims MR. Rapid maxillary expansion and external root resorption in man: A scanning electron microscope study[J]. Am J Orthod, 1981,79(6):630-652.
doi: 10.1016/0002-9416(81)90356-0 pmid: 7015868
[9] Rinaldi MRL, Azeredo F, de Lima EM, et al. Cone-beam computed tomography evaluation of bone plate and root length after maxillary expansion using tooth-borne and tooth-tissue-borne banded expanders[J]. Am J Orthod Dentofacial Orthop, 2018,154(4):504-516.
doi: 10.1016/j.ajodo.2017.12.018 pmid: 30268261
[10] Garib DG, Henriques JF, Janson G, et al. Rapid maxillary expansion: Tooth tissue-borne versus tooth-borne expanders. A computed tomography evaluation of dentoskeletal effects[J]. Angle Orthod, 2005,75(4):548-557.
doi: 10.1043/0003-3219(2005)75[548:RMETVT]2.0.CO;2 pmid: 16097223
[11] 高璐, 谷岩. 中国人群腭中缝生长发育形态特点分期与其相应生理年龄分布的初步研究[J]. 中华口腔正畸学杂志, 2020,27(2):61-66.
[12] Demirjian A, Goldstein H, Tanner JM. A new system of dental age assessment[J]. Hum Biol, 1973,45(2):211-227.
pmid: 4714564
[13] Demirjian A, Goldstein H. New systems for dental maturity based on seven and four teeth[J]. Ann Hum Biol, 1976,3(5):411-421.
doi: 10.1080/03014467600001671 pmid: 984727
[14] Macha M, Lamba B, Avula JSS, et al. Estimation of correlation between chronological age, skeletal age and dental age in children: a cross-sectional study [J]. J Clin Diagn Res, 2017, 11 (9): ZC01-ZC04.
doi: 10.7860/JCDR/2017/25175.10537 pmid: 29207822
[15] 李萌, 李果, 王虎. Demirjian牙龄推断法及其应用与更新[J]. 国际口腔医学杂志, 2014,41(6):725-729.
doi: 10.7518/gjkq.2014.06.026
[16] Perinetti G, Contardo L, Gabrieli P, et al. Diagnostic performance of dental maturity for identification of skeletal maturation phase[J]. Eur J Orthod, 2011,34(4):487-492.
doi: 10.1093/ejo/cjr027 pmid: 21345927
[17] Proffit WR. Contemporary orthodontics[M]. 6th ed. Philadelphia: Elsevier, 2018.
[18] Ró$\dot{z}$yło-Kalinowska I, Kolasa-Rᶏczka A, Kalinowski P. Relationship between dental age according to Demirjian and cervical vertebrae maturity in Polish children[J]. Eur J Orthod, 2010,33(1):75-83.
doi: 10.1093/ejo/cjq031 pmid: 20558591
[19] Ladewig VM, Capelozza-Filho L, Almeida-Pedrin RR, et al. Tomographic evaluation of the maturation stage of the midpalatal suture in post-adolescents[J]. Am J Orthod Dentofacial Orthop, 2018,153(6):818-824.
doi: 10.1016/j.ajodo.2017.09.019 pmid: 29853239
[20] Hajian-Tilaki K. Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation[J]. Caspian J Intern Med, 2013,4(2):627-635.
pmid: 24009950
[21] Korbmacher H, Schilling A, Puschel K, et al. Age-dependent three-dimensional micro-computed tomography analysis of the human midpalatal suture[J]. J Orofac Orthop, 2007,68(5):364-376.
doi: 10.1007/s00056-007-0729-7
[22] Knaup B, Yildizhan F, Wehrbein H. Age-related changes in the midpalatal suture[J]. J Orofac Orthop, 2004,65(6):467-474.
doi: 10.1007/s00056-004-0415-y
[23] 黄悦勤. 临床流行病学[M]. 4版. 北京: 人民卫生出版社, 2014.
[24] 葛立宏. 儿童口腔医学[M]. 2版. 北京: 北京大学医学出版社, 2013.
[1] Gang YANG,Wen-jie HU,Jie CAO,Deng-gao LIU. Three-dimensional morphology analysis of the supraosseous gingival profile of periodontally healthy maxillary anterior teeth [J]. Journal of Peking University (Health Sciences), 2021, 53(5): 990-994.
[2] MENG Yuan,ZHANG Li-qi,ZHAO Ya-ning,LIU Deng-gao,ZHANG Zu-yan,GAO Yan. Three-dimentional radiographic features of 67 maxillary radicular cysts [J]. Journal of Peking University (Health Sciences), 2021, 53(2): 396-401.
[3] 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.
[4] WANG Yi-ran, ZHOU Yan-heng, WANG Xue-dong, WEI Song, LIU Wei-tao. Evaluation of maxillary three-dimensional changes in maxillary protraction with alternating rapid palatal expansion and constriction based on the cone-beam computed tomography [J]. Journal of Peking University(Health Sciences), 2018, 50(4): 685-693.
[5] JIA Peng-chen, YANG Gang, HU Wen-jie, ZHAO Yi-jiao, LIU Mu-qing. Preliminary study on the accuracy of infrabony root surface area of single-root teeth by periapical films [J]. Journal of Peking University(Health Sciences), 2018, 50(1): 91-97.
[6] MA Jing, JIANG Jiu-hui. Morphological analysis of alveolar bone of anterior mandible in high-angle skeletal class Ⅱ and class Ⅲ malocclusions assessed with cone-beam computed tomography [J]. Journal of Peking University(Health Sciences), 2018, 50(1): 98-103.
[7] XU Xiao, XU Li, JIANG Jiu-hui, WU Jia-qi, LI Xiao-tong, JING Wu-di. Accuracy analysis of alveolar dehiscence and fenestration of maxillary anterior teeth of Angle class Ⅲ by cone-beam CT [J]. Journal of Peking University(Health Sciences), 2018, 50(1): 104-109.
[8] CAO Jie, MENG Huan-xin. Evaluation of using cone beam computed tomography as a regular test before and after periodontal regenerative surgery#br# [J]. Journal of Peking University(Health Sciences), 2018, 50(1): 110-116.
[9] CHANG Da-tong, ZHOU Yan-heng, LIU Wei-tao. Evaluation of cone-beam computed tomography on upper airway changes after alternating rapid palatal expansion and constriction [J]. Journal of Peking University(Health Sciences), 2017, 49(4): 685-690.
[10] CHEN Quan, ZHANG Xiao, ZHANG Zhi-yong, GAO Wei, LIU Wen-shu, MENG Tian, CHEN Yu-huan, WANG Hui-li. Detection and management of the vascular paths in the lateral sinus wall using cone beam computed tomography [J]. Journal of Peking University(Health Sciences), 2017, 49(3): 540-546.
[11] ZHAO Yi-jiao, WANG Si-wei, LIU Yi, WANG Yong. A method for rapid extracting three-dimensional root model of vivo tooth from cone beam computed tomography data based on the anatomical characteristics of periodontal ligament [J]. Journal of Peking University(Health Sciences), 2017, 49(1): 54-059.
[12] SU Zheng, BAI Yu-hao, HOU Xiao-mei. Effects of different techniques on removal of vapor lock in the apical region of curved canals: a cone-beam computed tomography study [J]. Journal of Peking University(Health Sciences), 2017, 49(1): 76-080.
[13] WEN Fu-jia,CHEN Gui,LIU Yi. Morphological analysis of roots and alveolar bone changes after upper anterior #br# retraction with maximum anchorage based on cone-beam computed tomography [J]. Journal of Peking University(Health Sciences), 2016, 48(4): 702-708.
[14] WANG Zhe, ZHU Liu-ning, ZHOU Lin, YI Biao. Feasibility of integrating 3D photos and cone-beam computed tomography images used to evaluate changes of soft and hard tissue after orthognathic surgery [J]. Journal of Peking University(Health Sciences), 2016, 48(3): 544-549.
[15] ZHANG Ming-ming, LIANG Yu-hong, GAO Xue-jun. Comparison of periapical radiography and cone-beam computed tomography in endodontic treated teeth for assessment of periapical lesions [J]. Journal of Peking University(Health Sciences), 2016, 48(3): 539-543.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 188 -191 .
[2] . [J]. Journal of Peking University(Health Sciences), 2009, 41(3): 376 -379 .
[3] . [J]. Journal of Peking University(Health Sciences), 2009, 41(4): 459 -462 .
[4] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 319 -322 .
[5] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 333 -336 .
[6] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 337 -340 .
[7] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 225 -328 .
[8] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 346 -350 .
[9] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 361 -364 .
[10] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 369 -373 .