Arthur Rodriguez Gonzalez Cortes1, Ouri Cohen2, Ming Zhao3, Eduardo Massaharu Aoki4, Rodrigo Alves Ribeiro5, Lina Abu Nada6, Claudio Costa4, Emiko Saito Arita4, Faleh Tamimi6, Jerome L Ackerman2. 1. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA; Department of Oral Radiology, School of Dentistry, University of São Paulo, São Paulo, Brazil. Electronic address: arthuro@usp.br. 2. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA. 3. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA; Department of Physics, University of Massachusetts Lowell, Lowell, Massachusetts, USA. 4. Department of Oral Radiology, School of Dentistry, University of São Paulo, São Paulo, Brazil. 5. Department of Oral Implantology, School of Dentistry, Metropolitan University of Santos, Santos, Brazil. 6. Faculty of Dentistry, McGill University, Montreal, Quebec, Canada.
Abstract
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.
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 marrowfat 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.
Authors: Azin Parsa; Norliza Ibrahim; Bassam Hassan; Paul van der Stelt; Daniel Wismeijer Journal: Clin Oral Implants Res Date: 2013-12-11 Impact factor: 5.977
Authors: Christina S Gee; Jennifer T K Nguyen; Candice J Marquez; Julia Heunis; Andrew Lai; Cory Wyatt; Misung Han; Galateia Kazakia; Andrew J Burghardt; Dimitrios C Karampinos; Julio Carballido-Gamio; Roland Krug Journal: J Magn Reson Imaging Date: 2014-11-25 Impact factor: 4.813
Authors: Fernando Antonio Reis Laurino; Isabela Goulart Gil Choi; Jun Ho Kim; Ivan Onone Gialain; Renato Ferraço; Rainer Guilherme Haetinger; Otavio Henrique Pinhata-Baptista; Reinaldo Abdala-Junior; Claudio Costa; Arthur Rodriguez Gonzalez Cortes Journal: Imaging Sci Dent Date: 2020-06-18