The 3D-based scaling index algorithm: a new structure measure to analyze trabecular bone architecture in high-resolution MR images in vivo
The purpose of this study was to obtain different structure measures as the three-dimensional (3D)-based scaling index method (SIM) and standard two-dimensional (2D) bone histomorphometric parameters from high-resolution (HR) magnetic resonance (MR) images of the distal radius and to compare these p...
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| Published in | Osteoporosis international Vol. 17; no. 10; pp. 1483 - 1493 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Springer
01.10.2006
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0937-941X 1433-2965 |
| DOI | 10.1007/s00198-006-0130-1 |
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| Abstract | The purpose of this study was to obtain different structure measures as the three-dimensional (3D)-based scaling index method (SIM) and standard two-dimensional (2D) bone histomorphometric parameters from high-resolution (HR) magnetic resonance (MR) images of the distal radius and to compare these parameters with bone mineral density (BMD) in their diagnostic performance to differentiate postmenopausal patients with and without vertebral fractures.
Axial HR-MR images of the distal radius were obtained at 1.5 T in 40 postmenopausal women (17 with osteoporotic spine fractures and 23 controls). Trabecular microarchitecture analysis was performed using the new structure measure mP(alpha), derived from the SIM, as well as standard morphological 2D parameters. BMD of the spine was obtained using quantitative computed tomography (QCT). Receiver operating characteristic (ROC) analyses were used to determine diagnostic performance in differentiating both groups. Results were validated by bootstrapping techniques.
Significant differences between both patient groups were obtained using mP(alpha), 2D parameters, and spine BMD (p<0.05). In comparison with the 2D texture parameters [area under the curve (AUC) up to 0.67], diagnostic performance was significantly higher for mP(alpha)(AUC=0.85; p<0.05). There was a trend for a higher AUC value for mP(alpha) compared with BMD of the spine (AUC=0.71; p=0.81).
mP(alpha) yielded a robust measure of trabecular bone microarchitecture for HR-MR images of the radius, which significantly improved the diagnostic performance in differentiating postmenopausal women with and without osteoporotic spine fractures compared with standard 2D bone histomorphometric parameters. This 3D characterization of trabecular microarchitecture may provide a new approach to better assess the strength of human cancellous bone using HR-MR image data. |
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| AbstractList | INTRODUCTION: The purpose of this study was to obtain different structure measures as the three-dimensional (3D)-based scaling index method (SIM) and standard two-dimensional (2D) bone histomorphometric parameters from high-resolution (HR) magnetic resonance (MR) images of the distal radius and to compare these parameters with bone mineral density (BMD) in their diagnostic performance to differentiate postmenopausal patients with and without vertebral fractures. METHODS: Axial HR-MR images of the distal radius were obtained at 1.5 T in 40 postmenopausal women (17 with osteoporotic spine fractures and 23 controls). Trabecular microarchitecture analysis was performed using the new structure measure [Formula: see text], derived from the SIM, as well as standard morphological 2D parameters. BMD of the spine was obtained using quantitative computed tomography (QCT). Receiver operating characteristic (ROC) analyses were used to determine diagnostic performance in differentiating both groups. Results were validated by bootstrapping techniques. RESULTS: Significant differences between both patient groups were obtained using [Formula: see text], 2D parameters, and spine BMD (p<0.05). In comparison with the 2D texture parameters [area under the curve (AUC) up to 0.67], diagnostic performance was significantly higher for [Formula: see text](AUC=0.85; p<0.05). There was a trend for a higher AUC value for [Formula: see text]compared with BMD of the spine (AUC=0.71; p=0.81). CONCLUSION: [Formula: see text] yielded a robust measure of trabecular bone microarchitecture for HR-MR images of the radius, which significantly improved the diagnostic performance in differentiating postmenopausal women with and without osteoporotic spine fractures compared with standard 2D bone histomorphometric parameters. This 3D characterization of trabecular microarchitecture may provide a new approach to better assess the strength of human cancellous bone using HR-MR image data.[PUBLICATION ABSTRACT] The purpose of this study was to obtain different structure measures as the three-dimensional (3D)-based scaling index method (SIM) and standard two-dimensional (2D) bone histomorphometric parameters from high-resolution (HR) magnetic resonance (MR) images of the distal radius and to compare these parameters with bone mineral density (BMD) in their diagnostic performance to differentiate postmenopausal patients with and without vertebral fractures. Axial HR-MR images of the distal radius were obtained at 1.5 T in 40 postmenopausal women (17 with osteoporotic spine fractures and 23 controls). Trabecular microarchitecture analysis was performed using the new structure measure mP(alpha), derived from the SIM, as well as standard morphological 2D parameters. BMD of the spine was obtained using quantitative computed tomography (QCT). Receiver operating characteristic (ROC) analyses were used to determine diagnostic performance in differentiating both groups. Results were validated by bootstrapping techniques. Significant differences between both patient groups were obtained using mP(alpha), 2D parameters, and spine BMD (p<0.05). In comparison with the 2D texture parameters [area under the curve (AUC) up to 0.67], diagnostic performance was significantly higher for mP(alpha)(AUC=0.85; p<0.05). There was a trend for a higher AUC value for mP(alpha) compared with BMD of the spine (AUC=0.71; p=0.81). mP(alpha) yielded a robust measure of trabecular bone microarchitecture for HR-MR images of the radius, which significantly improved the diagnostic performance in differentiating postmenopausal women with and without osteoporotic spine fractures compared with standard 2D bone histomorphometric parameters. This 3D characterization of trabecular microarchitecture may provide a new approach to better assess the strength of human cancellous bone using HR-MR image data. The purpose of this study was to obtain different structure measures as the three-dimensional (3D)-based scaling index method (SIM) and standard two-dimensional (2D) bone histomorphometric parameters from high-resolution (HR) magnetic resonance (MR) images of the distal radius and to compare these parameters with bone mineral density (BMD) in their diagnostic performance to differentiate postmenopausal patients with and without vertebral fractures.INTRODUCTIONThe purpose of this study was to obtain different structure measures as the three-dimensional (3D)-based scaling index method (SIM) and standard two-dimensional (2D) bone histomorphometric parameters from high-resolution (HR) magnetic resonance (MR) images of the distal radius and to compare these parameters with bone mineral density (BMD) in their diagnostic performance to differentiate postmenopausal patients with and without vertebral fractures.Axial HR-MR images of the distal radius were obtained at 1.5 T in 40 postmenopausal women (17 with osteoporotic spine fractures and 23 controls). Trabecular microarchitecture analysis was performed using the new structure measure mP(alpha), derived from the SIM, as well as standard morphological 2D parameters. BMD of the spine was obtained using quantitative computed tomography (QCT). Receiver operating characteristic (ROC) analyses were used to determine diagnostic performance in differentiating both groups. Results were validated by bootstrapping techniques.METHODSAxial HR-MR images of the distal radius were obtained at 1.5 T in 40 postmenopausal women (17 with osteoporotic spine fractures and 23 controls). Trabecular microarchitecture analysis was performed using the new structure measure mP(alpha), derived from the SIM, as well as standard morphological 2D parameters. BMD of the spine was obtained using quantitative computed tomography (QCT). Receiver operating characteristic (ROC) analyses were used to determine diagnostic performance in differentiating both groups. Results were validated by bootstrapping techniques.Significant differences between both patient groups were obtained using mP(alpha), 2D parameters, and spine BMD (p<0.05). In comparison with the 2D texture parameters [area under the curve (AUC) up to 0.67], diagnostic performance was significantly higher for mP(alpha)(AUC=0.85; p<0.05). There was a trend for a higher AUC value for mP(alpha) compared with BMD of the spine (AUC=0.71; p=0.81).RESULTSSignificant differences between both patient groups were obtained using mP(alpha), 2D parameters, and spine BMD (p<0.05). In comparison with the 2D texture parameters [area under the curve (AUC) up to 0.67], diagnostic performance was significantly higher for mP(alpha)(AUC=0.85; p<0.05). There was a trend for a higher AUC value for mP(alpha) compared with BMD of the spine (AUC=0.71; p=0.81).mP(alpha) yielded a robust measure of trabecular bone microarchitecture for HR-MR images of the radius, which significantly improved the diagnostic performance in differentiating postmenopausal women with and without osteoporotic spine fractures compared with standard 2D bone histomorphometric parameters. This 3D characterization of trabecular microarchitecture may provide a new approach to better assess the strength of human cancellous bone using HR-MR image data.CONCLUSIONmP(alpha) yielded a robust measure of trabecular bone microarchitecture for HR-MR images of the radius, which significantly improved the diagnostic performance in differentiating postmenopausal women with and without osteoporotic spine fractures compared with standard 2D bone histomorphometric parameters. This 3D characterization of trabecular microarchitecture may provide a new approach to better assess the strength of human cancellous bone using HR-MR image data. |
| Author | Monetti, R. Morfill, G. E. Rummeny, E. J. Link, T. M. Mueller, D. Seifert-Klauss, V. Raeth, C. Bauer, J. Boehm, H. |
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| CitedBy_id | crossref_primary_10_1007_s00330_012_2722_9 crossref_primary_10_1007_s00198_008_0706_z crossref_primary_10_1007_s40134_013_0031_y crossref_primary_10_1007_s00774_012_0407_8 crossref_primary_10_1016_j_bone_2013_09_004 crossref_primary_10_1016_j_ejrad_2009_04_075 crossref_primary_10_1016_j_mri_2013_01_014 crossref_primary_10_1016_j_clinimag_2015_09_016 crossref_primary_10_1148_radiol_2472070982 crossref_primary_10_1155_2011_174873 crossref_primary_10_1007_s10916_015_0266_7 crossref_primary_10_1016_j_clinimag_2014_12_006 crossref_primary_10_1016_j_exger_2015_10_014 crossref_primary_10_1186_1471_2474_15_143 crossref_primary_10_1097_RCT_0b013e31825f9aa3 crossref_primary_10_1007_s00198_009_1090_z crossref_primary_10_1002_jmri_21625 crossref_primary_10_1109_TBME_2011_2119484 crossref_primary_10_2217_ijr_11_30 crossref_primary_10_1097_RCT_0b013e3181ec05e4 crossref_primary_10_1117_1_JEI_23_1_013013 crossref_primary_10_1016_j_ejrad_2008_04_064 crossref_primary_10_1088_1367_2630_10_12_125010 crossref_primary_10_1007_s00198_007_0479_9 crossref_primary_10_1016_j_bone_2011_04_016 |
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| Copyright | 2006 INIST-CNRS International Osteoporosis Foundation and National Osteoporosis Foundation 2006 |
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| Keywords | High resolution Image resolution Radiodiagnosis Diseases of the osteoarticular system Rheumatology High resolution magnetic resonance imaging (HR-MRI) Algorithm Nuclear magnetic resonance imaging In vivo Osteoporosis Bone histomorphometry Trabecular bone microarchitecture Medical imagery Bone trabeculae Computerized axial tomography Quantitative computed tomography (QCT) Quantitative analysis |
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| SubjectTerms | Aged Algorithms Biological and medical sciences Bone Density Comparative studies Diseases of the osteoarticular system Female Fractures Humans Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional - methods Lumbar Vertebrae - pathology Lumbar Vertebrae - physiopathology Magnetic Resonance Imaging - methods Medical diagnosis Medical sciences Menopause Middle Aged NMR Nuclear magnetic resonance Osteoporosis, Postmenopausal - complications Osteoporosis, Postmenopausal - diagnosis Osteoporosis, Postmenopausal - physiopathology Osteoporosis. Osteomalacia. Paget disease Radius - pathology Radius - physiopathology Reproducibility of Results Spinal Fractures - diagnosis Spinal Fractures - etiology Spinal Fractures - physiopathology Spine Three dimensional imaging Tomography, X-Ray Computed |
| Title | The 3D-based scaling index algorithm: a new structure measure to analyze trabecular bone architecture in high-resolution MR images in vivo |
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