Literature DB >> 24618573

A classification of alveolar bone tissue.

Ana Carla Nahás-Scocate, Marcos Coral Scocate.   

Abstract

The objective was to present a way of using cone-beam computed tomographic (CBCT) images to classify alveolar bone tissue. CBCT images were acquired from PreXion3D tomography. Sagittal images of right and left maxillary and mandibular central incisors were obtained. A new grading scale was created based on the presence or absence of bone in each third of the tooth in buccal and lingual surfaces. The tooth was classifi ed into nine alveolar bone conditions: B1L1, B1L2, B1L3, B2L1, B2L2, B2L3, B3L1, B3L2, B3L3. This classifi cation is an additional tool to provide orthodontic and periodontic professionals the precise information needed in order to prevent periodontal problems or to avoid exacerbating them, both situations that might arise during orthodontic therapy. Furthermore, the grading will assist and enhance eff ective communication between professionals in dentistry.

Mesh:

Year:  2014        PMID: 24618573     DOI: 10.3290/j.qi.a31542

Source DB:  PubMed          Journal:  Quintessence Int        ISSN: 0033-6572            Impact factor:   1.677


  1 in total

1.  Assessment of the relationship between tooth inclination and gingival and alveolar bone dimensions using computed tomography of the maxillary anterior teeth: a cross-sectional study.

Authors:  Katia Montanha-Andrade; Ieda Margarida Crusoé-Rebello; Mauricio Barreto; Frederico Sampaio Neves; Jean Nunes Dos Santos; Patricia Ramos Cury
Journal:  Dental Press J Orthod       Date:  2022-09-23
  1 in total

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