Literature DB >> 15008933

Three-dimensional morphometric analysis of human cadaver bone: microstructural data from maxilla and mandible.

Mete I Fanuscu1, Ting-Ling Chang.   

Abstract

The mechanical behavior of bone is a critical factor in the attainment and maintenance of osseointegration. Current procedures and classifications in assessing bone quality have limitations. Micro-computed tomography (microCT) is a new method to image and quantify bone with very high resolution. This study was aimed to analyze cadaveric maxillary and mandibular trabecular bone with 3-D morphometric data acquired through microCT and correlate with conventional bone assessment methods. Moderately resorbed edentulous maxilla and mandible from a human cadaver were scanned in the conventional CT unit with opaque markers indicating specific anterior and posterior sites. These sites were then sectioned and standard periapical radiographs were obtained. Bone cores were harvested from the sectioned sites and scanned in the microCT unit. Bone density values based on the Hounsfield scale ranged from 51 to 529 in the mandible and 186 to 389 in the maxilla, anterior sites being higher in both. Periapical images did not yield distinct differences. 3-D morphometric analysis in microCT produced a range of values with anterior specimens being favorable: bone volume density (0.12-0.291), trabecular thickness (0.12-0.16 mm), trabecular separation (0.46-0.82 mm), trabecular number (1.08-2.071/mm) and structural model index (0.29-1.27). General agreement between bone density and microCT indices was noted; however, subtle differences have to be studied with larger samples. This preliminary study suggests that the understanding of mechanical competence of trabecular bone might reveal further information about the prognosis of implant therapy, advancements in implant design, surgical techniques and grafting.

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Year:  2004        PMID: 15008933     DOI: 10.1111/j.1600-0501.2004.00969.x

Source DB:  PubMed          Journal:  Clin Oral Implants Res        ISSN: 0905-7161            Impact factor:   5.977


  27 in total

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Authors:  Heng-Li Huang; Jui-Ting Hsu; Michael Y C Chen; Cheng Liu; Ching-Han Chang; Yu-Fen Li; Kuan-Ting Chen
Journal:  Clin Oral Investig       Date:  2012-04-25       Impact factor: 3.573

2.  The effect of scan parameters on cone beam CT trabecular bone microstructural measurements of the human mandible.

Authors:  N Ibrahim; A Parsa; B Hassan; P van der Stelt; I H A Aartman; D Wismeijer
Journal:  Dentomaxillofac Radiol       Date:  2013-10-16       Impact factor: 2.419

3.  Influence of object location in different FOVs on trabecular bone microstructure measurements of human mandible: a cone beam CT study.

Authors:  N Ibrahim; A Parsa; B Hassan; P van der Stelt; I H A Aartman; P Nambiar
Journal:  Dentomaxillofac Radiol       Date:  2013-11-21       Impact factor: 2.419

4.  The use of nano-computed tomography to enhance musculoskeletal research.

Authors:  Basma M Khoury; Erin M R Bigelow; Lauren M Smith; Stephen H Schlecht; Erica L Scheller; Nelly Andarawis-Puri; Karl J Jepsen
Journal:  Connect Tissue Res       Date:  2015-02-03       Impact factor: 3.417

5.  Three-dimensional micro-computed tomographic imaging of alveolar bone in experimental bone loss or repair.

Authors:  Chan Ho Park; Zachary R Abramson; Mario Taba; Qiming Jin; Jia Chang; Jaclynn M Kreider; Steven A Goldstein; William V Giannobile
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Review 6.  Diagnostic imaging of trabecular bone microstructure for oral implants: a literature review.

Authors:  N Ibrahim; A Parsa; B Hassan; P van der Stelt; D Wismeijer
Journal:  Dentomaxillofac Radiol       Date:  2013       Impact factor: 2.419

7.  Trabecular bone histomorphometric measurements and contrast-to-noise ratio in CBCT.

Authors:  E Klintström; O Smedby; B Klintström; T B Brismar; R Moreno
Journal:  Dentomaxillofac Radiol       Date:  2014-08-29       Impact factor: 2.419

8.  Quantifying mineralization using bone mineral density distribution in the mandible.

Authors:  Alexis Donneys; Noah S Nelson; Sagar S Deshpande; Matthew J Boguslawski; Catherine N Tchanque-Fossuo; Aaron S Farberg; Steven R Buchman
Journal:  J Craniofac Surg       Date:  2012-09       Impact factor: 1.046

9.  Variability of dental cone beam CT grey values for density estimations.

Authors:  R Pauwels; O Nackaerts; N Bellaiche; H Stamatakis; K Tsiklakis; A Walker; H Bosmans; R Bogaerts; R Jacobs; K Horner
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

10.  Accuracy of biomarkers obtained from cone beam computed tomography in assessing the internal trabecular structure of the mandibular condyle.

Authors:  Fouad H Ebrahim; Antonio C O Ruellas; Beatriz Paniagua; Erika Benavides; Karl Jepsen; Larry Wolford; Joao Roberto Goncalves; Lucia H S Cevidanes
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