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Oral Radiology
Published in: Oral Radiology 3/2021

01-07-2021 | Magnetic Resonance Imaging | Review Article

Estimating bone mineral density using MRI in medicine and dentistry: a literature review

Authors: Danielle Ayumi Nishimura, Isabela Goulart Gil Choi, Emiko Saita Arita, Arthur Rodriguez Gonzalez Cortes

Published in: Oral Radiology | Issue 3/2021

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Abstract

Objectives

Studies performed in the medical area have shown that an indirect diagnosis of bone mineral density (BMD) is feasible by assessing the amount of bone marrow fat with non-ionizing magnetic resonance imaging (MRI). In dentistry, radiographic methods are still the most used for alveolar bone diagnosis. The present literature review aimed at addressing the role of MRI in assessing BMD in medicine and dentistry.

Methods

MEDLINE and EMBASE databases were searched for articles published up to 2019.

Results

A total of 428 potentially eligible papers were screened. Of these, 397 were excluded after title, abstract and keyword assessment, yielding 31 papers that potentially met the inclusion criteria. Eleven studies were then excluded because their full texts did not discuss the role of MRI in the indirect diagnosis of BMD. As a result, a total of 20 studies were finally identified as eligible for inclusion in this literature review. Most studies found satisfactory accuracy of MRI for indirectly assessing BMD by quantifying bone mineral fat (BMF). However, only one of these studies was on dentistry.

Conclusion

Within the limitations of this study, the present findings suggest that MRI is accurate to indirectly estimate bone density by assessing BMF, and could be clinically relevant during dental treatment planning.
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Metadata
Title
Estimating bone mineral density using MRI in medicine and dentistry: a literature review
Authors
Danielle Ayumi Nishimura
Isabela Goulart Gil Choi
Emiko Saita Arita
Arthur Rodriguez Gonzalez Cortes
Publication date
01-07-2021
Publisher
Springer Singapore
Published in
Oral Radiology / Issue 3/2021
Print ISSN: 0911-6028
Electronic ISSN: 1613-9674
DOI
https://doi.org/10.1007/s11282-020-00484-5

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