Assessment of alveolar bone marrow fat content using 15 T MRI
Copyright © 2017 Elsevier Inc. All rights reserved..
OBJECTIVES: Bone marrow fat is inversely correlated with bone mineral density. The aim of this study is to present a method to quantify alveolar bone marrow fat content using a 15 T magnetic resonance imaging (MRI) scanner.
STUDY DESIGN: A 15 T MRI scanner with a 13-mm inner diameter loop-gap radiofrequency coil was used to scan seven 3-mm diameter alveolar bone biopsy specimens. A 3-D gradient-echo relaxation time (T1)-weighted pulse sequence was chosen to obtain images. All images were obtained with a voxel size (58 µm3) sufficient to resolve trabecular spaces. Automated volume of the bone marrow fat content and derived bone volume fraction (BV/TV) were calculated. Results were compared with actual BV/TV obtained from micro-computed tomography (CT) scans.
RESULTS: Mean fat tissue volume was 20.1 ± 11%. There was a significantly strong inverse correlation between fat tissue volume and BV/TV (r = -0.68; P = .045). Furthermore, there was a strong agreement between BV/TV derived from MRI and obtained with micro-CT (interclass correlation coefficient = 0.92; P = .001).
CONCLUSIONS: Bone marrow fat of small alveolar bone biopsy specimens can be quantified with sufficient spatial resolution using an ultra-high-field MRI scanner and a T1-weighted pulse sequence.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2018 |
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| Erschienen: |
2018 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:125 |
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| Enthalten in: |
Oral surgery, oral medicine, oral pathology and oral radiology - 125(2018), 3 vom: 02. März, Seite 244-249 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Cortes, Arthur Rodriguez Gonzalez [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 13.11.2018 Date Revised 01.03.2019 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.oooo.2017.11.016 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM279554982 |
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| 500 | |a Date Revised 01.03.2019 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2017 Elsevier Inc. All rights reserved. | ||
| 520 | |a OBJECTIVES: Bone marrow fat is inversely correlated with bone mineral density. The aim of this study is to present a method to quantify alveolar bone marrow fat content using a 15 T magnetic resonance imaging (MRI) scanner | ||
| 520 | |a STUDY DESIGN: A 15 T MRI scanner with a 13-mm inner diameter loop-gap radiofrequency coil was used to scan seven 3-mm diameter alveolar bone biopsy specimens. A 3-D gradient-echo relaxation time (T1)-weighted pulse sequence was chosen to obtain images. All images were obtained with a voxel size (58 µm3) sufficient to resolve trabecular spaces. Automated volume of the bone marrow fat content and derived bone volume fraction (BV/TV) were calculated. Results were compared with actual BV/TV obtained from micro-computed tomography (CT) scans | ||
| 520 | |a RESULTS: Mean fat tissue volume was 20.1 ± 11%. There was a significantly strong inverse correlation between fat tissue volume and BV/TV (r = -0.68; P = .045). Furthermore, there was a strong agreement between BV/TV derived from MRI and obtained with micro-CT (interclass correlation coefficient = 0.92; P = .001) | ||
| 520 | |a CONCLUSIONS: Bone marrow fat of small alveolar bone biopsy specimens can be quantified with sufficient spatial resolution using an ultra-high-field MRI scanner and a T1-weighted pulse sequence | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Cohen, Ouri |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Ming |e verfasserin |4 aut | |
| 700 | 1 | |a Aoki, Eduardo Massaharu |e verfasserin |4 aut | |
| 700 | 1 | |a Ribeiro, Rodrigo Alves |e verfasserin |4 aut | |
| 700 | 1 | |a Abu Nada, Lina |e verfasserin |4 aut | |
| 700 | 1 | |a Costa, Claudio |e verfasserin |4 aut | |
| 700 | 1 | |a Arita, Emiko Saito |e verfasserin |4 aut | |
| 700 | 1 | |a Tamimi, Faleh |e verfasserin |4 aut | |
| 700 | 1 | |a Ackerman, Jerome L |e verfasserin |4 aut | |
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