Imaging Sci Dent.  2018 Sep;48(3):191-199. 10.5624/isd.2018.48.3.191.

A novel classification of anterior alveolar arch forms and alveolar bone thickness: A cone-beam computed tomography study

Affiliations
  • 1Esthetic Restorative and Implant Dentistry Program, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand. atiphan.p@chula.ac.th
  • 2Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.

Abstract

PURPOSE
This study classified alveolar arch forms and evaluated differences in alveolar bone thickness among arch forms in the anterior esthetic region using cone-beam computed tomography (CBCT) images.
MATERIALS AND METHODS
Axial views of 113 CBCT images were assessed at the level of 3 mm below the cementoenamel junction (CEJ) of the right and left canines. The root center points of teeth in the anterior esthetic region were used as reference points. Arch forms were classified according to their transverse dimensions and the intercanine width-to-depth ratio. The buccolingual alveolar bone thickness of each tooth was measured at 3 mm below the CEJ and at the mid-root level. Differences in the mean thicknesses among arch forms were analyzed.
RESULTS
Anterior maxillary arches could be classified as long narrow, short medium, long medium, and long wide arches. Significant differences in buccolingual alveolar bone thickness among the arch groups were found at both levels. The long wide arches presented the greatest bone thickness, followed by the long medium arches, while the long narrow and short medium arches were the thinnest.
CONCLUSION
Arch forms were classified as long narrow, short medium, long medium, and long wide. The buccolingual alveolar bone thickness exhibited significant differences among the arch forms.

Keyword

Alveolar Process; Cone-Beam Computed Tomography

MeSH Terms

Alveolar Process
Classification*
Cone-Beam Computed Tomography
Tooth
Tooth Cervix

Figure

  • Fig. 1 Example of a maxillary alveolar arch, where a and a′ are the root center points of central incisors. The aa′ line is the line that links the a and a′ points. b and b′ are the root center points of the canines. The line that links the b and b′ points (bb′ line) is the intercanine width. c and c′ are the root center points of the first premolars. The line between the c and c′ points (cc′ line) is the interpremolar width. am is the midpoint of the aa′ line. The bm point is the endpoint of the perpendicular line originating from am and extending to the bb′ line. The ambm line is the intercanine depth. The cm point is the endpoint of the perpendicular line originating from am to the cc′ line. The amcm line is the interpremolar depth.

  • Fig. 2 A. A cone-beam computed tomographic (CBCT) image in the axial plane sliced perpendicular to the labial or buccal contour of the alveolar bone of the left central incisor. B. A CBCT image in the coronal plane sliced parallel to the root axis of the left central incisor. C. A CBCT image in the sagittal plane sliced parallel to the root axis of the left central incisor. D. The measurement of buccolingual alveolar bone thickness: the a level is at the cementoenamel junction (CEJ) level of the left central incisor, the b level is 3 mm below the CEJ, the c level is the level of the mid-root, and the d level is the level of the root apex. Alveolar buccolingual thickness was measured perpendicular to the long axis at 3 mm below the CEJ (B) and at the mid-root (C). The distance bm is the buccolingual alveolar bone thickness at 3 mm below the CEJ, and cm is the buccolingual alveolar bone thickness at the level of the mid-root.

  • Fig. 3 The best-fit curves plotted using the mean coordinates of the subjects in each cluster. A. Long narrow arch form. B. Short medium arch form. C. Long medium arch form. D. Long wide arch form. E. Comparison of the best-fit curve among the clusters.


Cited by  1 articles

Cone-beam computed tomographic analysis of the alveolar ridge profile and virtual implant placement for the anterior maxilla
Hyun-Chang Lim, Do-Uk Kang, Hyehyeon Baek, Ji-Youn Hong, Seung-Yun Shin, Jong-Hyuk Chung, Yeek Herr, Seung-Il Shin
J Periodontal Implant Sci. 2019;49(5):299-309.    doi: 10.5051/jpis.2019.49.5.299.


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