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Haueise T, Schick F, Stefan N, Machann J. Comparison of the accuracy of commercial two-point and multi-echo Dixon MRI for quantification of fat in liver, paravertebral muscles, and vertebral bone marrow. Eur J Radiol 2024; 172:111359. [PMID: 38325186 DOI: 10.1016/j.ejrad.2024.111359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 02/09/2024]
Abstract
PURPOSE Excess fat accumulation contributes significantly to metabolic dysfunction and diseases. This study aims to systematically compare the accuracy of commercially available Dixon techniques for quantification of fat fraction in liver, skeletal musculature, and vertebral bone marrow (BM) of healthy individuals, investigating biases and sex-specific influences. METHOD 100 healthy White individuals (50 women) underwent abdominal MRI using two-point and multi-echo Dixon sequences. Fat fraction (FF), proton density fat fraction (PDFF) and T2* values were calculated for liver, paravertebral muscles (PVM) and vertebral BM (Th8-L5). Agreement and systematic deviations were assessed using linear correlation and Bland-Altman plots. RESULTS High correlations between FF and PDFF were observed in liver (r = 0.98 for women; r = 0.96 for men), PVM (r = 0.92 for women; r = 0.93 for men) and BM (r = 0.97 for women; r = 0.95 for men). Relative deviations between FF and PDFF in liver (18.92 % for women; 13.32 % for men) and PVM (1.96 % for women; 11.62 % for men) were not significant. Relative deviations in BM were significant (38.13 % for women; 27.62 % for men). Bias correction using linear models reduced discrepancies. T2* times were significantly shorter in BM (8.72 ms for women; 7.26 ms for men) compared to PVM (13.45 ms for women; 13.62 ms for men) and liver (29.47 ms for women; 26.35 ms for men). CONCLUSION While no significant differences were observed for liver and PVM, systematic errors in BM FF estimation using two-point Dixon imaging were observed. These discrepancies - mainly resulting from organ-specific T2* times - have to be considered when applying two-point Dixon approaches for assessment of fat content. As suitable correction tools, linear models could provide added value in large-scale epidemiological cohort studies. Sex-specific differences in T2* should be considered.
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Affiliation(s)
- Tobias Haueise
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Fritz Schick
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany; Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Tübingen, Germany; Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany; Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
| | - Jürgen Machann
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany; Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany.
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Fortier V, Levesque IR. MR-oximetry with fat DESPOT. Magn Reson Imaging 2023; 97:112-121. [PMID: 36608912 DOI: 10.1016/j.mri.2022.12.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 12/23/2022] [Accepted: 12/31/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE The R1 relaxation rate of fat is a promising marker of tissue oxygenation. Existing techniques to map fat R1 in MR-oximetry offer limited spatial coverage, require long scan times, or pulse sequences that are not readily available on clinical scanners. This work addresses these limitations with a 3D voxel-wise fat R1 mapping technique for MR-oximetry based on a variable flip angle (VFA) approach at 3 T. METHODS Varying levels of dissolved oxygen (O2) were generated in a phantom consisting of vials of safflower oil emulsion, used to approximate human fat. Joint voxel-wise mapping of fat and water R1 was performed with a two-compartment VFA model fitted to multi-echo gradient-echo magnitude data acquired at four flip angles, referred to as Fat DESPOT. Global R1 was also calculated. Variations of fat, water, and global R1 were investigated as a function of the partial pressure of O2 (pO2). Inversion-prepared stimulated echo magnetic resonance spectroscopy was used as the reference technique for R1 measurements. RESULTS Fat R1 from Fat DESPOT was more sensitive than water R1 and global R1 to variations in pO2, consistent with previous studies performed with different R1 mapping techniques. Fat R1 sensitivity to pO2 variations with Fat DESPOT (median O2 relaxivity r1, O2 = 1.57× 10-3 s-1 mmHg-1) was comparable to spectroscopy-based measurements for methylene, the main fat resonance (median r1, O2= 1.80 × 10-3 s-1 mmHg-1). CONCLUSION Fat and water R1 can be measured on a voxel-wise basis using a two-component fit to multi-echo 3D VFA magnitude data in a clinically acceptable scan time. Fat and water R1 measured with Fat DESPOT were sensitive to variations in pO2. These observations suggest an approach to 3D in vivo MR oximetry.
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Affiliation(s)
- Véronique Fortier
- Medical Physics Unit, McGill University, Montréal, QC, Canada; Biomedical Engineering, McGill University, Montréal, QC, Canada; Medical Imaging, McGill University Health Centre, Montréal, QC, Canada; Department of Diagnostic Radiology, McGill University, Montréal, QC, Canada; Gerald Bronfman Department of Oncology, McGill University, Montréal, QC, Canada.
| | - Ives R Levesque
- Medical Physics Unit, McGill University, Montréal, QC, Canada; Biomedical Engineering, McGill University, Montréal, QC, Canada; Gerald Bronfman Department of Oncology, McGill University, Montréal, QC, Canada; Research Institute of the McGill University Health Centre, Montréal, QC, Canada
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Haueise T, Stefan N, Schulz TJ, Schick F, Birkenfeld AL, Machann J. Automated shape-independent assessment of the spatial distribution of proton density fat fraction in vertebral bone marrow. Z Med Phys 2023:S0939-3889(22)00137-4. [PMID: 36725478 DOI: 10.1016/j.zemedi.2022.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 12/19/2022] [Indexed: 02/03/2023]
Abstract
This work proposes a method for automatic standardized assessment of bone marrow volume and spatial distribution of the proton density fat fraction (PDFF) in vertebral bodies. Intra- and interindividual variability in size and shape of vertebral bodies is a challenge for comparable interindividual evaluation and monitoring of changes in the composition and distribution of bone marrow due to aging and/or intervention. Based on deep learning image segmentation, bone marrow PDFF of single vertebral bodies is mapped to a cylindrical template and corrected for the inclination with respect to the horizontal plane. The proposed technique was applied and tested in a cohort of 60 healthy (30 males, 30 females) individuals. Obtained bone marrow volumes and mean PDFF values are comparable to former manual and (semi-)automatic approaches. Moreover, the proposed method allows shape-independent characterization of the spatial PDFF distribution inside vertebral bodies.
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Affiliation(s)
- Tobias Haueise
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Norbert Stefan
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany; Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
| | - Tim J Schulz
- German Center for Diabetes Research (DZD), Tübingen, Germany; Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Fritz Schick
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany; Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
| | - Jürgen Machann
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany.
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Boukebous B, Maillot C, Hachache BE, Rousseau MA. Tiny but risky: the reasons why the Caspar pin distractor causes suffocating cervical hematoma - two cases and a literature review. Neurochirurgie 2022; 68:518-524. [DOI: 10.1016/j.neuchi.2022.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 03/26/2022] [Accepted: 04/03/2022] [Indexed: 11/17/2022]
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Cai Z, Tao Q, Scotti A, Yi P, Feng Y, Cai K. Early detection of increased marrow adiposity with age in rats using Z-spectral MRI at ultra-high field (7 T). NMR IN BIOMEDICINE 2022; 35:e4633. [PMID: 34658086 DOI: 10.1002/nbm.4633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 09/16/2021] [Accepted: 09/18/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Nowadays, the drive towards high-field MRI is fueled by the pursuit of higher signal-to-noise ratio, spatial resolution, and imaging speed. However, high field strength is associated with field inhomogeneity, acceleration of T2 * decay, and increased chemical shift, which may pose challenges to conventional MRI for fat quantification in complex tissues such as bone marrow. With proton MRI spectroscopy (1 H-MRS), on the other hand, it is difficult to produce high resolution. As a novel alternative fat quantification method, high-resolution Z-spectral MRI (ZS-MRI) can achieve fat quantification by acquiring direct saturated images of both fat and water under the same TE , which may be less affected by T2 * decay and field inhomogeneity. PURPOSE To demonstrate ZS-MRI for marrow adipose tissue (MAT) quantification in rat's lumbar spine and the early detection of MAT changes with age. METHODS The accuracy of ZS-MRI for fat quantification at ultra-high-field MRI (7 T) was verified with MRS and conventional Dixon MRI in water-oil mixed phantoms with varying fat fraction (FF). Dixon MRI data were processed with iterative decomposition of water and fat with echo asymmetry and least-squares estimation. ZS-MRI was then used to longitudinally monitor the adiposity in the lumbar spine of young healthy rats at 13, 17, and 21 weeks to detect the early changes of FF with age in MAT. Hematoxylin-eosin staining of lumbar spines from separated rat groups was performed for verification. RESULTS In ex vivo phantom experiments, both Dixon MRI and ZS-MRI were well correlated with 1 H-MRS for the quantification of FF at 7 T (R > 0.99). Compared with Dixon MRI, ZS-MRI showed reduced image artifacts due to field inhomogeneity and presented better agreement with 1 H-MRS for the early detection of increased MAT due to age at 7 T (ZS-MRI R = 0.78 versus Dixon MRI R = 0.34). The increased MAT FF due to age was confirmed by histology. CONCLUSION ZS-MRI proves itself as an alternative fat quantification method for bone marrow in rats at 7 T.
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Affiliation(s)
- Zimeng Cai
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Quan Tao
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Alessandro Scotti
- Department of Radiology, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Peiwei Yi
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Kejia Cai
- Department of Radiology, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
- Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, USA
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Marage L, Lasbleiz J, Fondin M, Lederlin M, Gambarota G, Saint-Jalmes H. Voxel-based mapping of five MR biomarkers in the wrist bone marrow. MAGMA (NEW YORK, N.Y.) 2021; 34:729-740. [PMID: 33709226 DOI: 10.1007/s10334-020-00901-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/30/2020] [Accepted: 12/02/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVE MRI is a reliable and accurate technique to characterize rheumatoid arthritis. The aim of this study was to provide voxel-by-voxel 3D maps of the proton density fat fraction (PDFF), the T1 of water (T1W), the T1 of fat (T1F), the T2* of water (T2*W), the T2* of fat (T2*F) in the wrist bone marrow. MATERIALS AND METHODS The experiments were conducted on 14 healthy volunteers (mean age: 24 ± 4). The data were acquired at 1.5 T using two optimized four-echo 3D 1.2 × 1.2 × 1.2 mm3-isotropic spoiled gradient sequences. A repeatability study was carried out. The measurements were done using a homemade parametric viewer software. RESULTS The inter-volunteer results were, on average: PDFF = 86 ± 3%, T1W = 441 ± 113 ms, T1F = 245 ± 19 ms, T2*W = 6 ± 1 ms and T2*F = 16 ± 3 ms. The coefficients of variation were for fat based biomarkers CVPDFF < 5%, CVT1F < 15% and CVT2*F < 10% in the repeatability study. DISCUSSION The protocol and quantification tool proposed in this study provide high-resolution voxel-by-voxel 3D maps of five biomarkers in the wrist in less than 4 min of acquisition.
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Affiliation(s)
- Louis Marage
- CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, Univ Rennes, CHU Rennes, 2 Av. du Professeur Léon Bernard, 35000, Rennes, France.
| | - Jeremy Lasbleiz
- CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, Univ Rennes, CHU Rennes, 2 Av. du Professeur Léon Bernard, 35000, Rennes, France
| | - Maxime Fondin
- CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, Univ Rennes, CHU Rennes, 2 Av. du Professeur Léon Bernard, 35000, Rennes, France
| | - Mathieu Lederlin
- CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, Univ Rennes, CHU Rennes, 2 Av. du Professeur Léon Bernard, 35000, Rennes, France
| | - Giulio Gambarota
- CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, Univ Rennes, CHU Rennes, 2 Av. du Professeur Léon Bernard, 35000, Rennes, France
| | - Hervé Saint-Jalmes
- CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, Univ Rennes, CHU Rennes, 2 Av. du Professeur Léon Bernard, 35000, Rennes, France
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Marage L, Gambarota G, Lasbleiz J, Lederlin M, Saint-Jalmes H. Confounding factors in multi-parametric q-MRI protocol: A study of bone marrow biomarkers at 1.5 T. Magn Reson Imaging 2020; 74:96-104. [PMID: 32858181 DOI: 10.1016/j.mri.2020.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 07/23/2020] [Accepted: 08/20/2020] [Indexed: 10/23/2022]
Abstract
OBJECT The MRI tissue characterization of vertebral bone marrow includes the measurement of proton density fat fraction (PDFF), T1 and T2* relaxation times of the water and fat components (T1W, T1F, T2*W, T2*F), IVIM diffusion D, perfusion fraction f and pseudo-diffusion coefficient D*. However, the measurement of these vertebral bone marrow biomarkers (VBMBs) is affected with several confounding factors. In the current study, we investigated these confounding factors including the regional variation taking the example of variation between the anterior and posterior area in lumbar vertebrae, B1 inhomogeneity and the effect of fat suppression on f. MATERIALS AND METHODS A fat suppressed diffusion-weighted sequence and two 3D gradient multi-echo sequences were used for the measurements of the seven VBMBs. A turbo flash B1 map sequence was used to estimate B1 inhomogeneities and thus, to correct flip angle for T1 quantification. We introduced a correction to perfusion fraction f measured with fat suppression, namely fPDFF. RESULTS A significant difference in the values of PDFF, f and fPDFF, T1F, T2*W and D was observed between the anterior and posterior region. Although, little variations of flip angle were observed in this anterior-posterior direction in one vertebra but larger variations were observed in head-feet direction from L1 to L5 vertebrae. DISCUSSION The regional difference in PDFF, fPDFF and T2*W can be ascribed to differences in the trabecular bone density and vascular network within vertebrae. The regional variation of VBMBs shows that care should be taken in reproducing the same region-of-interest location along a longitudinal study. The same attention should be taken while measuring f in fatty environment, and measuring T1. Furthermore, the MRI-protocol presented here allows for measurements of seven VBMBs in less than 6 min and is of interest for longitudinal studies of bone marrow diseases.
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Affiliation(s)
- Louis Marage
- Univ Rennes, CHU Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000 Rennes, France.
| | - Giulio Gambarota
- Univ Rennes, CHU Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000 Rennes, France
| | - Jeremy Lasbleiz
- Univ Rennes, CHU Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000 Rennes, France
| | - Mathieu Lederlin
- Univ Rennes, CHU Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000 Rennes, France
| | - Hervé Saint-Jalmes
- Univ Rennes, CHU Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000 Rennes, France
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Kim D, Kim SK, Lee SJ, Choo HJ, Park JW, Kim KY. Simultaneous Estimation of the Fat Fraction and R₂ * Via T₂ *-Corrected 6-Echo Dixon Volumetric Interpolated Breath-hold Examination Imaging for Osteopenia and Osteoporosis Detection: Correlations with Sex, Age, and Menopause. Korean J Radiol 2020; 20:916-930. [PMID: 31132817 PMCID: PMC6536792 DOI: 10.3348/kjr.2018.0032] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 01/14/2019] [Indexed: 01/18/2023] Open
Abstract
Objective To investigate the relationships of T2*-corrected 6-echo Dixon volumetric interpolated breath-hold examination (VIBE) imaging-based fat fraction (FF) and R2* values with bone mineral density (BMD); determine their associations with sex, age, and menopause; and evaluate the diagnostic performance of the FF and R2* for predicting osteopenia and osteoporosis. Materials and Methods This study included 153 subjects who had undergone magnetic resonance (MR) imaging, including MR spectroscopy (MRS) and T2*-corrected 6-echo Dixon VIBE imaging. The FF and R2* were measured at the L4 vertebra. The male and female groups were divided into two subgroups according to age or menopause. Lin's concordance and Pearson's correlation coefficients, Bland-Altman 95% limits of agreement, and the area under the curve (AUC) were calculated. Results The correlation between the spectroscopic and 6-echo Dixon VIBE imaging-based FF values was statistically significant for both readers (pc = 0.940 [reader 1], 0.908 [reader 2]; both p < 0.001). A small measurement bias was observed for the MRS-based FF for both readers (mean difference = −0.3% [reader 1], 0.1% [reader 2]). We found a moderate negative correlation between BMD and the FF (r = −0.411 [reader 1], −0.436 [reader 2]; both p <0.001) with younger men and premenopausal women showing higher correlations. R2* and BMD were more significantly correlated in women than in men, and the highest correlation was observed in postmenopausal women (r = 0.626 [reader 1], 0.644 [reader 2]; both p < 0.001). For predicting osteopenia and osteoporosis, the FF had a higher AUC in men and R2* had a higher AUC in women. The AUC for predicting osteoporosis was highest with a combination of the FF and R2* in postmenopausal women (AUC = 0.872 [reader 1], 0.867 [reader 2]; both p < 0.001). Conclusion The FF and R2* measured using T2*-corrected 6-echo Dixon VIBE imaging can serve as predictors of osteopenia and osteoporosis. R2* might be useful for predicting osteoporosis, especially in postmenopausal women.
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Affiliation(s)
- Donghyun Kim
- Department of Radiology, Inje University College of Medicine, Busan Paik Hospital, Busan, Korea
| | - Sung Kwan Kim
- Department of Radiology, Inje University College of Medicine, Busan Paik Hospital, Busan, Korea
| | - Sun Joo Lee
- Department of Radiology, Inje University College of Medicine, Busan Paik Hospital, Busan, Korea.
| | - Hye Jung Choo
- Department of Radiology, Inje University College of Medicine, Busan Paik Hospital, Busan, Korea
| | - Jung Won Park
- Department of Radiology, Inje University College of Medicine, Busan Paik Hospital, Busan, Korea
| | - Kun Yung Kim
- Department of Radiology, Chonbuk National University Hospital, Jeonju, Korea
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Recognition of sacroiliac joint structural lesions: Comparison of volumetric interpolated breath-hold examination (VIBE) sequences with different slice thicknesses to T1-weighted turbo-echo. Eur J Radiol 2020; 124:108849. [DOI: 10.1016/j.ejrad.2020.108849] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 12/26/2019] [Accepted: 01/23/2020] [Indexed: 12/15/2022]
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Jerban S, Lu X, Dorthe EW, Alenezi S, Ma Y, Kakos L, Jang H, Sah RL, Chang EY, D’Lima D, Du J. Correlations of cortical bone microstructural and mechanical properties with water proton fractions obtained from ultrashort echo time (UTE) MRI tricomponent T2* model. NMR IN BIOMEDICINE 2020; 33:e4233. [PMID: 31820518 PMCID: PMC7161421 DOI: 10.1002/nbm.4233] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 10/31/2019] [Accepted: 11/06/2019] [Indexed: 05/12/2023]
Abstract
Mechanical and microstructural evaluations of cortical bone using ultrashort echo time magnetic resonance imaging (UTE-MRI) have been performed increasingly in recent years. UTE-MRI acquires considerable signal from cortical bone and enables quantitative bone evaluations. Fitting bone apparent transverse magnetization (T2*) decay using a bicomponent model has been regularly performed to estimate bound water (BW) and pore water (PW) in the quantification of bone matrix and porosity, respectively. Human cortical bone possesses a considerable amount of fat, which appears as MRI T2* signal oscillation and can subsequently lead to BW overestimation when using a bicomponent model. Tricomponent T2* fitting model has been developed to improve BW and PW estimations by accounting for fat contribution in the MRI signal. This study aimed to investigate the correlations of microstructural and mechanical properties of human cortical bone with water pool fractions obtained from a tricomponent T2* model. 135 cortical bone strips (~4 × 2 × 40 mm3 ) from tibial and femoral midshafts of 37 donors (61 ± 24 years old) were scanned using ten sets of dual-echo 3D-UTE-Cones sequences (TE = 0.032-24.0 ms) on a 3 T MRI scanner for T2* fitting analyses. Average bone porosity and pore size were measured using microcomputed tomography (μCT) at 9 μm voxel size. Bone mechanical properties were measured using 4-point bending tests. Using a tricomponent model, bound water fraction (FracBW ) showed significant strong (R = 0.70, P < 0.01) and moderate (R = 0.58-0.62, P < 0.01) correlations with porosity and mechanical properties, respectively. Correlations of bone microstructural and mechanical properties with water pool fractions were higher for tricomponent model results compared with the bicomponent model. The tricomponent T2* fitting model is suggested as a useful technique for cortical bone evaluation where the MRI contribution of bone fat is accounted for.
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Affiliation(s)
- Saeed Jerban
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
- Corresponding authors: • Jiang Du, Department of Radiology, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA, , Phone: +1 858 246 2248, Fax: +1 888 960 5922, • Saeed Jerban, Department of Radiology, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA, , Phone: +1 858 246 3158, Fax: +1 888 960 5922
| | - Xing Lu
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
- 12Sigma Technologies, San Diego, CA, USA
| | - Erik W. Dorthe
- Shiley Center for Orthopedic Research and Education at Scripps Clinic, La Jolla, CA, USA
| | - Salem Alenezi
- Research and Laboratories Sector, Saudi Food and Drug Authority, Riyadh, KSA
| | - Yajun Ma
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Lena Kakos
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Hyungseok Jang
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Robert L. Sah
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- Department of Orthopaedic Surgery, University of California, San Diego, La Jolla, CA, USA
| | - Eric Y. Chang
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
- Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, La Jolla, CA, USA
| | - Darryl D’Lima
- Shiley Center for Orthopedic Research and Education at Scripps Clinic, La Jolla, CA, USA
| | - Jiang Du
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
- Corresponding authors: • Jiang Du, Department of Radiology, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA, , Phone: +1 858 246 2248, Fax: +1 888 960 5922, • Saeed Jerban, Department of Radiology, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA, , Phone: +1 858 246 3158, Fax: +1 888 960 5922
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Tratwal J, Labella R, Bravenboer N, Kerckhofs G, Douni E, Scheller EL, Badr S, Karampinos DC, Beck-Cormier S, Palmisano B, Poloni A, Moreno-Aliaga MJ, Fretz J, Rodeheffer MS, Boroumand P, Rosen CJ, Horowitz MC, van der Eerden BCJ, Veldhuis-Vlug AG, Naveiras O. Reporting Guidelines, Review of Methodological Standards, and Challenges Toward Harmonization in Bone Marrow Adiposity Research. Report of the Methodologies Working Group of the International Bone Marrow Adiposity Society. Front Endocrinol (Lausanne) 2020; 11:65. [PMID: 32180758 PMCID: PMC7059536 DOI: 10.3389/fendo.2020.00065] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 01/31/2020] [Indexed: 12/14/2022] Open
Abstract
The interest in bone marrow adiposity (BMA) has increased over the last decade due to its association with, and potential role, in a range of diseases (osteoporosis, diabetes, anorexia, cancer) as well as treatments (corticosteroid, radiation, chemotherapy, thiazolidinediones). However, to advance the field of BMA research, standardization of methods is desirable to increase comparability of study outcomes and foster collaboration. Therefore, at the 2017 annual BMA meeting, the International Bone Marrow Adiposity Society (BMAS) founded a working group to evaluate methodologies in BMA research. All BMAS members could volunteer to participate. The working group members, who are all active preclinical or clinical BMA researchers, searched the literature for articles investigating BMA and discussed the results during personal and telephone conferences. According to the consensus opinion, both based on the review of the literature and on expert opinion, we describe existing methodologies and discuss the challenges and future directions for (1) histomorphometry of bone marrow adipocytes, (2) ex vivo BMA imaging, (3) in vivo BMA imaging, (4) cell isolation, culture, differentiation and in vitro modulation of primary bone marrow adipocytes and bone marrow stromal cell precursors, (5) lineage tracing and in vivo BMA modulation, and (6) BMA biobanking. We identify as accepted standards in BMA research: manual histomorphometry and osmium tetroxide 3D contrast-enhanced μCT for ex vivo quantification, specific MRI sequences (WFI and H-MRS) for in vivo studies, and RT-qPCR with a minimal four gene panel or lipid-based assays for in vitro quantification of bone marrow adipogenesis. Emerging techniques are described which may soon come to complement or substitute these gold standards. Known confounding factors and minimal reporting standards are presented, and their use is encouraged to facilitate comparison across studies. In conclusion, specific BMA methodologies have been developed. However, important challenges remain. In particular, we advocate for the harmonization of methodologies, the precise reporting of known confounding factors, and the identification of methods to modulate BMA independently from other tissues. Wider use of existing animal models with impaired BMA production (e.g., Pfrt-/-, KitW/W-v) and development of specific BMA deletion models would be highly desirable for this purpose.
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Affiliation(s)
- Josefine Tratwal
- Laboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Swiss Institute for Experimental Cancer Research, Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Rossella Labella
- Tissue and Tumour Microenvironments Lab, The Kennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom
| | - Nathalie Bravenboer
- Department of Clinical Chemistry, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Movement Sciences, Amsterdam, Netherlands
- Section of Endocrinology, Department of Internal Medicine, Center for Bone Quality, Leiden University Medical Center, Leiden, Netherlands
| | - Greet Kerckhofs
- Biomechanics Lab, Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium
- Department Materials Engineering, KU Leuven, Leuven, Belgium
| | - Eleni Douni
- Laboratory of Genetics, Department of Biotechnology, Agricultural University of Athens, Athens, Greece
- Institute for Bioinnovation, Biomedical Sciences Research Center Alexander Fleming, Athens, Greece
| | - Erica L. Scheller
- Division of Bone and Mineral Diseases, Department of Medicine, Washington University, St. Louis, MO, United States
| | - Sammy Badr
- Univ. Lille, EA 4490 - PMOI - Physiopathologie des Maladies Osseuses Inflammatoires, Lille, France
- CHU Lille, Service de Radiologie et Imagerie Musculosquelettique, Lille, France
| | - Dimitrios C. Karampinos
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Sarah Beck-Cormier
- Inserm, UMR 1229, RMeS, Regenerative Medicine and Skeleton, Université de Nantes, ONIRIS, Nantes, France
- Université de Nantes, UFR Odontologie, Nantes, France
| | - Biagio Palmisano
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY, United States
| | - Antonella Poloni
- Hematology, Department of Clinic and Molecular Science, Università Politecnica Marche-AOU Ospedali Riuniti, Ancona, Italy
| | - Maria J. Moreno-Aliaga
- Centre for Nutrition Research and Department of Nutrition, Food Science and Physiology, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra's Health Research Institute, Pamplona, Spain
- CIBERobn Physiopathology of Obesity and Nutrition, Centre of Biomedical Research Network, ISCIII, Madrid, Spain
| | - Jackie Fretz
- Department of Orthopaedics and Rehabilitation, Cellular and Developmental Biology, Yale University School of Medicine, New Haven, CT, United States
| | - Matthew S. Rodeheffer
- Department of Comparative Medicine and Molecular, Cellular and Developmental Biology, Yale University School of Medicine, New Haven, CT, United States
| | - Parastoo Boroumand
- Cell Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
| | - Clifford J. Rosen
- Maine Medical Center Research Institute, Center for Clinical and Translational Research, Scarborough, ME, United States
| | - Mark C. Horowitz
- Department of Orthopaedics and Rehabilitation, Yale University School of Medicine, New Haven, CT, United States
| | - Bram C. J. van der Eerden
- Laboratory for Calcium and Bone Metabolism, Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Annegreet G. Veldhuis-Vlug
- Section of Endocrinology, Department of Internal Medicine, Center for Bone Quality, Leiden University Medical Center, Leiden, Netherlands
- Maine Medical Center Research Institute, Center for Clinical and Translational Research, Scarborough, ME, United States
- Jan van Goyen Medical Center/OLVG Hospital, Department of Internal Medicine, Amsterdam, Netherlands
- *Correspondence: Annegreet G. Veldhuis-Vlug
| | - Olaia Naveiras
- Laboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Swiss Institute for Experimental Cancer Research, Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Hematology Service, Departments of Oncology and Laboratory Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
- Olaia Naveiras ;
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Trudel G, Melkus G, Sheikh A, Ramsay T, Laneuville O. Marrow adipose tissue gradient is preserved through high protein diet and bed rest. A randomized crossover study. Bone Rep 2019; 11:100229. [PMID: 31799339 PMCID: PMC6883331 DOI: 10.1016/j.bonr.2019.100229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 10/21/2019] [Indexed: 12/17/2022] Open
Abstract
Context Marrow adipose tissue (MAT) has a peripheral to central distribution in adults, higher in peripheral bones. Similarly, the spine has a caudal to cephalad MAT distribution, higher in lumbar vertebras. Diet and the level of physical activities are known modulators of MAT with significant impact on bone; however, whether these can modulate the MAT gradient is unknown. Objective To measure the effect of high protein diet and bed rest interventions on the lumbar MAT gradient. Design participants intervention In a prospective randomized crossover trial, 10 healthy men participated in 2 consecutive campaigns of 21days head-down-tilt-bed-rest (HDTBR). They received either whey protein and potassium bicarbonate-supplemented or control diet separated by a 4-month washout period. Main outcome measures Ten serial MRI measures of lumbar vertebral fat fraction (VFF) were performed at baseline, 10days and 20days of HDTBR and 3 and 28days after HDTBR of each bed rest campaign. Results The mean L5-L1 VFF difference of 4.2 ± 1.2 percentage point higher at L5 (p = 0.008) constituted a caudal to cephalad lumbar MAT gradient. High protein diet did not alter the lumbar VFF differences during both HDTBR campaigns (all time points p > 0.05). Similarly, 2 campaigns of 21days of HDTBR did not change the lumbar VFF differences (all time points p > 0.05). Conclusions This pilot study established that the lumbar vertebral MAT gradient was not altered by a high protein nor by 2 × 21days bed rest interventions. These findings demonstrated that this lack of mechanical stimulus was not an important modulator of the lumbar MAT gradient. The highly preserved MAT gradient needs to be measured in more situations of health and disease and may potentially serve to detect pathological situations.
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Key Words
- BDC, baseline data collection
- Bed rest study
- DLR, German Aerospace Center
- FOV, field of view
- HDT, head-down tilt
- HDTBR, head-down-tilt-bed-rest
- IOP, in-phase and out-phase imaging
- Lumbar vertebral fat fraction
- MAT, marrow adipose tissue
- MEP, whey protein study
- MR, magnetic resonance
- Magnetic resonance imaging
- Marrow adipose tissue
- PDFF, proton-density fat fraction
- R, recovery
- ROI, region of interest
- TR, repetition time
- VFF, vertebral fat fraction
- Whey protein
- in-phase, echo time 1 (TE1)
- out-phase, echo time 2 (TE2)
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Affiliation(s)
- Guy Trudel
- Bone and Joint Research Laboratory, Department of Physical Medicine and Rehabilitation, Department of Medicine, Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ontario, Canada.,The Ottawa Hospital Research Institute, Ontario, Canada
| | - Gerd Melkus
- The Ottawa Hospital Research Institute, Ontario, Canada.,Department of Radiology, University of Ottawa, Ontario, Canada
| | - Adnan Sheikh
- The Ottawa Hospital Research Institute, Ontario, Canada.,Department of Radiology, University of Ottawa, Ontario, Canada
| | - Tim Ramsay
- The Ottawa Hospital Research Institute, Ontario, Canada.,School of Epidemiology and Public Health, University of Ottawa, Ontario, Canada
| | - Odette Laneuville
- Bone and Joint Research Laboratory, Department of Physical Medicine and Rehabilitation, Department of Medicine, Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ontario, Canada.,Department of Biology, Faculty of Science, University of Ottawa, Ontario, Canada
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Marty B, Carlier PG. MR fingerprinting for water T1 and fat fraction quantification in fat infiltrated skeletal muscles. Magn Reson Med 2019; 83:621-634. [PMID: 31502715 DOI: 10.1002/mrm.27960] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 07/11/2019] [Accepted: 07/31/2019] [Indexed: 12/28/2022]
Abstract
PURPOSE To develop a fast MR fingerprinting (MRF) sequence for simultaneous estimation of water T1 (T1H2O ) and fat fraction (FF) in fat infiltrated skeletal muscles. METHODS The MRF sequence for T1H2O and FF quantification (MRF T1-FF) comprises a 1400 radial spokes echo train, following nonselective inversion, with varying echo and repetition time, as well as prescribed flip angle. Undersampled frames were reconstructed at different acquisition time-points by nonuniform Fourier transform, and a bi-component model based on Bloch simulations applied to adjust the signal evolution and extract T1H2O and FF. The sequence was validated on a multi-vial phantom, in three healthy volunteers and five patients with neuromuscular diseases. We evaluated the agreement between MRF T1-FF parameters and reference values and confounding effects due to B0 and B1 inhomogeneities. RESULTS In phantom, T1H2O and FF were highly correlated with references values measured with multi-inversion time inversion recovery-stimulated echo acquisition mode and Dixon, respectively (R2 > 0.99). In vivo, T1H2O and FF determined by the MRF T1-FF sequence were also correlated with reference values (R2 = 0.98 and 0.97, respectively). The precision on T1H2O was better than 5% for muscles where FF was less than 0.4. Both T1H2O and FF values were not confounded by B0 nor B1 inhomogeneities. CONCLUSION The MRF T1-FF sequence derived T1H2O and FF values in voxels containing a mixture of water and fat protons. This method can be used to comprehend and characterize the effects of tissue water compartmentation and distribution on muscle T1 values in patients affected by chronic fat infiltration.
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Affiliation(s)
- Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Pierre G Carlier
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
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14
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Gadermayr M, Li K, Müller M, Truhn D, Krämer N, Merhof D, Gess B. Domain-specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks. J Magn Reson Imaging 2019; 49:1676-1683. [PMID: 30623506 DOI: 10.1002/jmri.26544] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 10/01/2018] [Accepted: 10/02/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Fat-fraction has been established as a relevant marker for the assessment and diagnosis of neuromuscular diseases. For computing this metric, segmentation of muscle tissue in MR images is a first crucial step. PURPOSE To tackle the high degree of variability in combination with the high annotation effort for training supervised segmentation models (such as fully convolutional neural networks). STUDY TYPE Prospective. SUBJECTS In all, 41 patients consisting of 20 patients showing fatty infiltration and 21 healthy subjects. Field Strength/Sequence: The T1 -weighted MR-pulse sequences were acquired on a 1.5T scanner. ASSESSMENT To increase performance with limited training data, we propose a domain-specific technique for simulating fatty infiltrations (i.e., texture augmentation) in nonaffected subjects' MR images in combination with shape augmentation. For simulating the fatty infiltrations, we make use of an architecture comprising several competing networks (generative adversarial networks) that facilitate a realistic artificial conversion between healthy and infiltrated MR images. Finally, we assess the segmentation accuracy (Dice similarity coefficient). STATISTICAL TESTS A Wilcoxon signed rank test was performed to assess whether differences in segmentation accuracy are significant. RESULTS The mean Dice similarity coefficients significantly increase from 0.84-0.88 (P < 0.01) using data augmentation if training is performed with mixed data and from 0.59-0.87 (P < 0.001) if training is conducted with healthy subjects only. DATA CONCLUSION Domain-specific data adaptation is highly suitable for facilitating neural network-based segmentation of thighs with feasible manual effort for creating training data. The results even suggest an approach completely bypassing manual annotations. LEVEL OF EVIDENCE 4 Technical Efficacy: Stage 3.
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Affiliation(s)
- Michael Gadermayr
- Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany.,Salzburg University of Applied Sciences, Salzburg, Austria
| | - Kexin Li
- Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany
| | - Madlaine Müller
- Department of Neurology, RWTH University Hospital Aachen, Aachen, Germany
| | - Daniel Truhn
- Department of Radiology, RWTH University Hospital Aachen, Aachen, Germany
| | - Nils Krämer
- Department of Radiology, RWTH University Hospital Aachen, Aachen, Germany
| | - Dorit Merhof
- Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany
| | - Burkhard Gess
- Department of Neurology, RWTH University Hospital Aachen, Aachen, Germany
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15
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Schmeel FC, Luetkens JA, Feißt A, Enkirch SJ, Endler CHJ, Wagenhäuser PJ, Schmeel LC, Träber F, Schild HH, Kukuk GM. Quantitative evaluation of T2* relaxation times for the differentiation of acute benign and malignant vertebral body fractures. Eur J Radiol 2018; 108:59-65. [PMID: 30396672 DOI: 10.1016/j.ejrad.2018.09.021] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 09/17/2018] [Indexed: 12/27/2022]
Abstract
OBJECTIVES The aim of this prospective study was to evaluate the diagnostic performance of T2*-weighted magnetic resonance imaging (MRI) to differentiate between acute benign and neoplastic vertebral compression fractures (VCFs). MATERIALS AND METHODS Thirty-seven consecutive patients with a total of 52 VCFs were prospectively enrolled in this IRB approved study. All VCFs were categorized as either benign or malignant according to direct bone biopsy and histopathologic confirmation. In addition to routine clinical spine MRI including at least sagittal T1-weighted, T2-weighted and T2 spectral attenuated inversion recovery (SPAIR)-weighted sequences, all patients underwent an additional sagittal six-echo modified Dixon gradient-echo sequence of the spine at 3.0-T. Intravertebral T2* and T2*ratio (fracture T2*/normal vertebrae T2*) for acute benign and malignant VCFs were calculated using region-of-interest analysis and compared between both groups. Additional receiver operating characteristic analyses were performed. Five healthy subjects were scanned three times to determine the short-term reproducibility of vertebral T2* measurements. RESULTS There were 27 acute benign and 25 malignant VCFs. Both T2* and T2*ratio of malignant VCFs were significantly higher compared to acute benign VCFs (T2*, 30 ± 11 vs. 19 ± 11 ms [p = 0.001]; T2*ratio, 2.9 ± 1.6 vs. 1.2 ± 0.7 [p < 0.001]). The areas under the curve were 0.77 for T2* and 0.88 for T2*ratio, yielding an accuracy of 73% and 89% for distinguishing acute benign from malignant VCFs. The root mean square absolute precision error was 0.44 ms as a measure for the T2* short-term reproducibility. CONCLUSION Quantitative assessment of vertebral bone marrow T2* relaxation times provides good diagnostic accuracy for the differentiation of acute benign and malignant VCFs.
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Affiliation(s)
- Frederic Carsten Schmeel
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
| | - Julian Alexander Luetkens
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Andreas Feißt
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Simon Jonas Enkirch
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Christoph Hans-Jürgen Endler
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Peter Johannes Wagenhäuser
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Leonard Christopher Schmeel
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Frank Träber
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Hans Heinz Schild
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Guido Matthias Kukuk
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
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16
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Pesapane F, Czarniecki M, Suter MB, Turkbey B, Villeirs G. Imaging of distant metastases of prostate cancer. Med Oncol 2018; 35:148. [DOI: 10.1007/s12032-018-1208-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 09/06/2018] [Indexed: 02/06/2023]
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17
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Lasbleiz J, Le Ster C, Guillin R, Saint-Jalmes H, Gambarota G. Measurements of Diffusion and Perfusion in Vertebral Bone Marrow Using Intravoxel Incoherent Motion (IVIM) With Multishot, Readout-Segmented (RESOLVE) Echo-Planar Imaging. J Magn Reson Imaging 2018; 49:768-776. [DOI: 10.1002/jmri.26270] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 07/09/2018] [Accepted: 07/10/2018] [Indexed: 12/29/2022] Open
Affiliation(s)
| | - Caroline Le Ster
- Univ Rennes, Inserm, LTSI - UMR 1099; F-35000 Rennes France
- Siemens Healthcare; Saint-Denis France
| | - Raphaël Guillin
- Department of Medical Imaging; Rennes University Hospitals, Sud Hospital; F-35000 Rennes France
| | - Hervé Saint-Jalmes
- Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099; F-35000 Rennes France
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18
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Chevigny C, Chaunier L, Ferbus R, Roblin P, Rondeau-Mouro C, Lourdin D. In-Situ Quantitative and Multiscale Structural Study of Starch-Based Biomaterials Immersed in Water. Biomacromolecules 2018; 19:838-848. [DOI: 10.1021/acs.biomac.7b01635] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Chloé Chevigny
- UR 1268 Biopolymères Interactions Assemblages, INRA, 44300 Nantes, France
| | - Laurent Chaunier
- UR 1268 Biopolymères Interactions Assemblages, INRA, 44300 Nantes, France
| | - Ruzica Ferbus
- IRSTEA, UR OPAALE, 17 Avenue de Cucillé, CS 64427, 35044 Rennes Cedex, France
| | - Pierre Roblin
- UR 1268 Biopolymères Interactions Assemblages, INRA, 44300 Nantes, France
- Synchrotron SOLEIL, L’orme des merisiers, Saint Aubin, BP 48, 91192 Gif sur Yvette Cedex, France
| | | | - Denis Lourdin
- UR 1268 Biopolymères Interactions Assemblages, INRA, 44300 Nantes, France
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19
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Perez-Lopez R, Nava Rodrigues D, Figueiredo I, Mateo J, Collins DJ, Koh DM, de Bono JS, Tunariu N. Multiparametric Magnetic Resonance Imaging of Prostate Cancer Bone Disease: Correlation With Bone Biopsy Histological and Molecular Features. Invest Radiol 2018; 53:96-102. [PMID: 28906339 PMCID: PMC5768227 DOI: 10.1097/rli.0000000000000415] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 07/29/2017] [Indexed: 12/22/2022]
Abstract
OBJECTIVES The aim of this study was to correlate magnetic resonance imaging (MRI) of castration-resistant prostate cancer (CRPC) bone metastases with histological and molecular features of bone metastases. MATERIALS AND METHODS Forty-three bone marrow biopsies from 33 metastatic CRPC (mCRPC) patients with multiparametric MRI and documented bone metastases were evaluated. A second cohort included 10 CRPC patients with no bone metastases. Associations of apparent diffusion coefficient (ADC), normalized b900 diffusion-weighted imaging (nDWI) signal, and signal-weighted fat fraction (swFF) with bone marrow biopsy histological parameters were evaluated using Mann-Whitney U test and Spearman correlations. Univariate and multivariate logistic regression models were analyzed. RESULTS Median ADC and nDWI signal was significantly higher, and median swFF was significantly lower, in bone metastases than nonmetastatic bone (P < 0.001). In the metastatic cohort, 31 (72.1%) of 43 biopsies had detectable cancer cells. Median ADC and swFF were significantly lower and median nDWI signal was significantly higher in biopsies with tumor cells versus nondetectable tumor cells (898 × 10 mm/s vs 1617 × 10 mm/s; 11.5% vs 62%; 5.3 vs 2.3, respectively; P < 0.001). Tumor cellularity inversely correlated with ADC and swFF, and positively correlated with nDWI signal (P < 0.001). In serial biopsies, taken before and after treatment, changes in multiparametric MRI parameters paralleled histological changes. CONCLUSIONS Multiparametric MRI provides valuable information about mCRPC bone metastases. These data further clinically qualify DWI as a response biomarker in mCRPC.
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Affiliation(s)
- Raquel Perez-Lopez
- From the *The Institute of Cancer Research; and †The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Daniel Nava Rodrigues
- From the *The Institute of Cancer Research; and †The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Ines Figueiredo
- From the *The Institute of Cancer Research; and †The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Joaquin Mateo
- From the *The Institute of Cancer Research; and †The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - David J. Collins
- From the *The Institute of Cancer Research; and †The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Dow-Mu Koh
- From the *The Institute of Cancer Research; and †The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Johann S. de Bono
- From the *The Institute of Cancer Research; and †The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Nina Tunariu
- From the *The Institute of Cancer Research; and †The Royal Marsden NHS Foundation Trust, London, United Kingdom
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20
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Franconi F, Lemaire L, Saint‐Jalmes H, Saulnier P. Tissue oxygenation mapping by combined chemical shift and T
1
magnetic resonance imaging. Magn Reson Med 2017; 79:1981-1991. [DOI: 10.1002/mrm.26857] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 06/22/2017] [Accepted: 07/07/2017] [Indexed: 12/24/2022]
Affiliation(s)
- Florence Franconi
- PRISM Plate‐forme de recherche en imagerie et spectroscopie multi‐modales, PRISM‐Icat, Angers et PRISM‐Biosit CNRS UMS 3480, INSERM UMS 018, Rennes, UBL Universite BretagneLoire France
- Micro & Nanomédecines Translationelles‐MINT, UNIV Angers, INSERM U1066, CNRS UMR 6021UBL Universite Bretagne LoireAngers France
| | - Laurent Lemaire
- PRISM Plate‐forme de recherche en imagerie et spectroscopie multi‐modales, PRISM‐Icat, Angers et PRISM‐Biosit CNRS UMS 3480, INSERM UMS 018, Rennes, UBL Universite BretagneLoire France
- Micro & Nanomédecines Translationelles‐MINT, UNIV Angers, INSERM U1066, CNRS UMR 6021UBL Universite Bretagne LoireAngers France
| | - Hervé Saint‐Jalmes
- PRISM Plate‐forme de recherche en imagerie et spectroscopie multi‐modales, PRISM‐Icat, Angers et PRISM‐Biosit CNRS UMS 3480, INSERM UMS 018, Rennes, UBL Universite BretagneLoire France
- INSERM, UMR 1099Rennes France
- LTSI, Université de Rennes 1Rennes France
- CRLCC, Centre Eugène MarquisRennes France
| | - Patrick Saulnier
- Micro & Nanomédecines Translationelles‐MINT, UNIV Angers, INSERM U1066, CNRS UMR 6021UBL Universite Bretagne LoireAngers France
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21
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Bray TJP, Bainbridge A, Punwani S, Ioannou Y, Hall-Craggs MA. Simultaneous Quantification of Bone Edema/Adiposity and Structure in Inflamed Bone Using Chemical Shift-Encoded MRI in Spondyloarthritis. Magn Reson Med 2017; 79:1031-1042. [PMID: 28589660 PMCID: PMC5811922 DOI: 10.1002/mrm.26729] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 03/08/2017] [Accepted: 03/31/2017] [Indexed: 12/19/2022]
Abstract
Purpose To evaluate proton density fat fraction (PDFF) and R2* as markers of bone marrow composition and structure in inflamed bone in patients with spondyloarthritis. Methods Phantoms containing fat, water, and trabecular bone were constructed with proton density fat fraction (PDFF) and bone mineral density (BMD) values matching those expected in healthy bone marrow and disease states, and scanned using chemical shift‐encoded MRI (CSE‐MRI) at 3T. Measured PDFF and R2* values in phantoms were compared with reference FF and BMD values. Eight spondyloarthritis patients and 10 controls underwent CSE‐MRI of the sacroiliac joints. PDFF and R2* in areas of inflamed bone and fat metaplasia in patients were compared with normal bone marrow in controls. Results In phantoms, PDFF measurements were accurate over the full range of PDFF and BMD values. R2* measurements were positively associated with BMD but also were influenced by variations in PDFF. In patients, PDFF was reduced in areas of inflammation and increased in fat metaplasia compared to normal marrow. R2* measurements were significantly reduced in areas of fat metaplasia. Conclusion PDFF measurements reflect changes in marrow composition in areas of active inflammation and structural damage and could be used for disease monitoring in spondyloarthritis. R2* measurements may provide additional information bone mineral density but also are influenced by fat content. Magn Reson Med 79:1031–1042, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Affiliation(s)
- Timothy J P Bray
- Centre for Medical Imaging, University College London, London, United Kingdom.,Arthritis Research UK Centre for Adolescent Rheumatology, University College London, London, United Kingdom
| | - Alan Bainbridge
- Department of Medical Physics, University College London Hospitals, London, United Kingdom
| | - Shonit Punwani
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Yiannis Ioannou
- Arthritis Research UK Centre for Adolescent Rheumatology, University College London, London, United Kingdom
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22
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Karampinos DC, Ruschke S, Dieckmeyer M, Diefenbach M, Franz D, Gersing AS, Krug R, Baum T. Quantitative MRI and spectroscopy of bone marrow. J Magn Reson Imaging 2017; 47:332-353. [PMID: 28570033 PMCID: PMC5811907 DOI: 10.1002/jmri.25769] [Citation(s) in RCA: 167] [Impact Index Per Article: 23.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 05/05/2017] [Indexed: 12/13/2022] Open
Abstract
Bone marrow is one of the largest organs in the human body, enclosing adipocytes, hematopoietic stem cells, which are responsible for blood cell production, and mesenchymal stem cells, which are responsible for the production of adipocytes and bone cells. Magnetic resonance imaging (MRI) is the ideal imaging modality to monitor bone marrow changes in healthy and pathological states, thanks to its inherent rich soft‐tissue contrast. Quantitative bone marrow MRI and magnetic resonance spectroscopy (MRS) techniques have been also developed in order to quantify changes in bone marrow water–fat composition, cellularity and perfusion in different pathologies, and to assist in understanding the role of bone marrow in the pathophysiology of systemic diseases (e.g. osteoporosis). The present review summarizes a large selection of studies published until March 2017 in proton‐based quantitative MRI and MRS of bone marrow. Some basic knowledge about bone marrow anatomy and physiology is first reviewed. The most important technical aspects of quantitative MR methods measuring bone marrow water–fat composition, fatty acid composition, perfusion, and diffusion are then described. Finally, previous MR studies are reviewed on the application of quantitative MR techniques in both healthy aging and diseased bone marrow affected by osteoporosis, fractures, metabolic diseases, multiple myeloma, and bone metastases. Level of Evidence: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:332–353.
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Affiliation(s)
- Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Michael Dieckmeyer
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Maximilian Diefenbach
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Daniela Franz
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Alexandra S Gersing
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Roland Krug
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA
| | - Thomas Baum
- Section for Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany
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23
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A fast method for the quantification of fat fraction and relaxation times: Comparison of five sites of bone marrow. Magn Reson Imaging 2017; 39:157-161. [PMID: 28263827 DOI: 10.1016/j.mri.2017.03.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 02/24/2017] [Accepted: 03/01/2017] [Indexed: 01/29/2023]
Abstract
PURPOSE Bone marrow is found either as red bone marrow, which mainly contains haematopoietic cells, or yellow bone marrow, which mainly contains adipocytes. In adults, red bone marrow is principally located in the axial skeleton. A recent study has introduced a method to simultaneously estimate the fat fraction (FF), the T1 and T2* relaxation times of water (T1w, T2*w) and fat (T1f and T2*f) in the vertebral bone marrow. The aim of the current study was to measure FF, T1w, T1f, T2*w and T2*f in five sites of bone marrow, and to assess the presence of regional variations. METHODS MRI experiments were performed at 1.5T on five healthy volunteers (31.6±15.6years) using a prototype chemical-shift-encoded 3D multi-gradient-echo sequence (VIBE) acquired with two flip angles. Acquisitions were performed in the shoulders, lumbar spine and pelvis, with acquisition times of <25seconds per sequence. Signal intensities of magnitude images of the individual echoes were used to fit the signal and compute FF, T1w, T1f, T2*w and T2*f in the humerus, sternum, vertebra, ilium and femur. RESULTS Regional variations of fat fraction and relaxation times were observed in these sites, with higher fat fraction and longer T1w in the epiphyses of long bones. A high correlation between FF and T1w was measured in these bones (R=0.84 in the humerus and R=0.84 in the femur). In most sites, there was a significant difference between water and fat relaxation times, attesting the relevance of measuring these parameters separately. CONCLUSION The method proposed in the current study allowed for measurements of FF, T1w, T1f, T2*w and T2*f in five sites of bone marrow. Regional variations of these parameters were observed and a strong negative correlation between the T1 of water and the fat fraction in bones with high fat fractions was found.
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Li G, Xu Z, Gu H, Li X, Yuan W, Chang S, Fan J, Calimente H, Hu J. Comparison of chemical shift-encoded water-fat MRI and MR spectroscopy in quantification of marrow fat in postmenopausal females. J Magn Reson Imaging 2016; 45:66-73. [PMID: 27341545 DOI: 10.1002/jmri.25351] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2016] [Accepted: 06/06/2016] [Indexed: 12/22/2022] Open
Abstract
PURPOSE To validate a chemical shift-encoded (CSE) water-fat imaging for quantifying marrow fat fraction (FF), using proton magnetic resonance spectroscopy (MRS) as reference. MATERIALS AND METHODS Multiecho T2 -corrected MRS and CSE imaging with eight-echo gradient-echo acquisitions at 3T were performed to calculate marrow FF in 83 subjects, including 41 with normal bone mineral density (BMD), 26 with osteopenia, and 16 with osteoporosis (based on DXA). Eight participants were scanned three times with repositioning to assess the repeatability of CSE FF map measurements. Pearson correlation coefficient, Bland-Altman 95% limit of agreement, and Lin's concordance correlation coefficient were calculated. RESULTS The Pearson correlation coefficient was 0.979 and Lin's concordance correlation coefficient was 0.962 between CSE-based FF and MRS-based FF. All data points, calculated using the Bland-Altman method, were within the limits of agreement. The intra- and interrater agreement for average CSE-based FF was excellent (intrarater, intraclass correlation coefficient [ICC] = 0.993; interrater, ICC = 0.976-0.982 for different BMD groups). In the subgroups of varying BMD, inverse correlations were observed to be very similar between BMD (r = -0.560 to -0.710), T-score (r = -0.526 to -0.747), and CSE-based FF, and between BMD (r = -0.539 to -0.706), T-score (r = -0.501 to -0.742), and MRS-based FF even controlling for age, years since menopause, and body mass index. The repeatability for CSE FF map measurements expressed as absolute precision error was 1.45%. CONCLUSION CSE imaging is equally accurate in characterizing marrow fat content as MRS. Given its excellent correlation and concordance with MRS, the CSE sequence could be used as a potential replacement technique for marrow fat quantification. LEVEL OF EVIDENCE 1 J. Magn. Reson. Imaging 2017;45:66-73.
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Affiliation(s)
- Guanwu Li
- Department of Radiology, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,Department of Radiology, Wayne State University, Detroit, Michigan, USA
| | - Zheng Xu
- Xin-Zhuang Community Health Center, Shanghai, China
| | - Hao Gu
- Xin-Zhuang Community Health Center, Shanghai, China
| | - Xuefeng Li
- Department of Radiology, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wei Yuan
- Department of Spinal Disease Unit, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shixin Chang
- Department of Radiology, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jingzheng Fan
- East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Horea Calimente
- Department of Radiology, Wayne State University, Detroit, Michigan, USA
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, Michigan, USA
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