Literature DB >> 30484182

Assessment of aging characteristics of female condylar trabecular structure by cone-beam computed tomography.

Guangnan Li1, Haoliang Qian1, Songsong Guo1, Dongmiao Wang1, Chao Sun2, Yifei Du1, Jie Cheng1, Hongbing Jiang3.   

Abstract

<span class="abstract_title">OBJECTIVES: This study was performed to analyze the aging-related changes of the female condylar bone mineral density (<span class="Disease">BMD) and trabecular structure by cone-beam computed tomography (CBCT), and determine whether the condylar structure shows obvious changes after menopause.
METHODS: The CBCT images of 160 female patients who met the inclusion criteria for the study were collected and divided into four groups by age (20-29 years, 30-39 years, premenopausal, and postmenopausal groups). Computer processing software CT-Analyser (Version 1.15.2.2+; SkyScan, Antwerp, Belgium) was used to measure the condylar BMD and related indexes, namely the bone volume/tissue volume ratio (BV/TV), trabecular number (Tb.N), trabecular thickness (Tb.Th), trabecular separation (Tb.Sp), trabecular structure model index (SMI), and bone surface area/volume ratio (BS/BV). SPSS 12.0 (SPSS Inc., Chicago, IL, USA) was used to analyze the radiographic findings and statistical differences.
RESULTS: No significant differences were found between the bilateral condyles in each group (P > 0.05). BV/TV, Tb.N, and Tb.Th of the condyle decreased with age, and the postmenopausal group showed significantly different values for each index compared with the other groups (P < 0.01). Tb.Sp, SMI, and BS/BV of the condyle increased with age, and the postmenopausal group showed significantly different values for each index compared with the other groups (P < 0.01).
CONCLUSIONS: With increasing age, the female condylar bone volume decreases, the Tb.N and Tb.Th decrease, the gap between the trabecular bone increases, and plate-like trabecular bone gradually transforms into a rod-like form. These changes are much more obvious in postmenopausal women.

Entities:  

Keywords:  Aging; Condyle; Cone-beam computed tomography; Osteoporosis

Mesh:

Year:  2018        PMID: 30484182     DOI: 10.1007/s11282-018-0322-3

Source DB:  PubMed          Journal:  Oral Radiol        ISSN: 0911-6028            Impact factor:   1.852


  26 in total

1.  Correlations between alveolar bone microstructure and bone turnover markers in pre- and post-menopausal women.

Authors:  Emi Yamashita-Mikami; Mikako Tanaka; Naoki Sakurai; Yoshiaki Arai; Akira Matsuo; Hayato Ohshima; Shuichi Nomura; Sadakazu Ejiri
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2012-06-17

2.  Reliability of voxel values from cone-beam computed tomography for dental use in evaluating bone mineral density.

Authors:  Yoshikazu Nomura; Hiroshi Watanabe; Eiichi Honda; Tohru Kurabayashi
Journal:  Clin Oral Implants Res       Date:  2010-05       Impact factor: 5.977

3.  Evaluation of voxel values in mandibular cancellous bone: relationship between cone-beam computed tomography and multislice helical computed tomography.

Authors:  Munetaka Naitoh; Akiko Hirukawa; Akitoshi Katsumata; Eiichiro Ariji
Journal:  Clin Oral Implants Res       Date:  2009-02-25       Impact factor: 5.977

4.  Relationship between radiographic changes in the temporomandibular joint and bone mineral density: a population based study.

Authors:  Oksana Jagur; Mart Kull; Edvitar Leibur; Riina Kallikorm; Dagmar Loorits; Margus Lember; Ulle Voog-Oras
Journal:  Stomatologija       Date:  2011

5.  Panoramic-based mandibular indices in relation to mandibular bone mineral density and skeletal status assessed by dual energy X-ray absorptiometry and quantitative ultrasound.

Authors:  B Drozdzowska; W Pluskiewicz; B Tarnawska
Journal:  Dentomaxillofac Radiol       Date:  2002-11       Impact factor: 2.419

6.  Alveolar bone mass in pre- and postmenopausal women with serum calcium as a marker: a comparative study.

Authors:  Amitha Ramesh; Karishma Mahajan; Biju Thomas; Nina Shenoy; Rahul Bhandary
Journal:  Indian J Dent Res       Date:  2011 Nov-Dec

7.  Mandibular bone mineral density as a predictor of skeletal osteoporosis.

Authors:  K Horner; H Devlin; C W Alsop; I M Hodgkinson; J E Adams
Journal:  Br J Radiol       Date:  1996-11       Impact factor: 3.039

8.  Accurate quantification of width and density of bone structures by computed tomography.

Authors:  Thomas N Hangartner; David F Short
Journal:  Med Phys       Date:  2007-10       Impact factor: 4.071

Review 9.  Oral radiographic predictors of osteoporosis.

Authors:  S C White
Journal:  Dentomaxillofac Radiol       Date:  2002-03       Impact factor: 2.419

Review 10.  Osteoporosis imaging.

Authors:  Thomas M Link; Sharmila Majumdar
Journal:  Radiol Clin North Am       Date:  2003-07       Impact factor: 2.303

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