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Vu BTD, Jones BC, Lee H, Kamona N, Deshpande RS, Wehrli FW, Rajapakse CS. Six-minute, in vivo MRI quantification of proximal femur trabecular bone 3D microstructure. Bone 2023; 177:116900. [PMID: 37714503 DOI: 10.1016/j.bone.2023.116900] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/29/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND Assessment of proximal femur trabecular bone microstructure in vivo by magnetic resonance imaging has recently been validated for acquiring information independent of bone mineral density in osteoporotic patients. However, the requisite signal-to-noise ratio (SNR) and resolution for interrogation of the trabecular microstructure at this anatomical location prolongs the scan duration and renders the imaging protocol clinically infeasible. Parallel imaging and compressed sensing (PICS) techniques can reduce the scan duration of the imaging protocol without substantially compromising image quality. The present work investigates the limits of acceleration for a commonly used PICS technique, ℓ1-ESPIRiT, for the purpose of quantifying measures of trabecular bone microarchitecture. Based on a desired error tolerance, a six-minute, prospectively accelerated variant of the imaging protocol was developed and assessed for intersession reproducibility and agreement with the longer reference scan. PURPOSE To investigate the limits of acceleration for MRI-based trabecular bone quantification by parallel imaging and compressed sensing reconstruction, and to develop a prototypical imaging protocol for assessing the proximal femur microstructure in a clinically practical scan time. METHODS Healthy participants (n = 11) were scanned by a 3D balanced steady-state free precession (bSSFP) sequence satisfying the Nyquist criterion with a scan duration of about 18 min. The raw data were retrospectively undersampled and reconstructed to mimic various acceleration factors ranging from 2 to 6. Trabecular volumes-of-interest in four major femoral regions (greater trochanter, intertrochanteric region, femoral neck, and femoral head) were analyzed and six relevant measures of trabecular bone microarchitecture (bone volume fraction, surface-to-curve ratio, erosion index, elastic modulus, trabecular thickness, plates-to-rods ratio) were obtained for images of all accelerations. To assess agreement, median percent error and intraclass correlation coefficients (ICCs) were computed using the fully-sampled data as reference. Based on this analysis, a prospectively 3-fold accelerated sequence with a duration of about 6 min was developed and the analysis was repeated. RESULTS A prospective acceleration factor of 3 demonstrated comparable performance in reproducibility and absolute agreement to the fully-sampled scan. The median CoV over all image-derived metrics was generally <6 % and ICCs >0.70. Also, measurements from prospectively 3-fold accelerated scans demonstrated in general median percent errors of <7 % and ICCs >0.70. CONCLUSION The present work proposes a method to make in vivo quantitative assessment of proximal femur trabecular microstructure with a clinically practical scan duration of about 6 min.
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Affiliation(s)
- Brian-Tinh Duc Vu
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadelphia, PA 19104, United States of America.
| | - Brandon C Jones
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadelphia, PA 19104, United States of America
| | - Hyunyeol Lee
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, South Korea
| | - Nada Kamona
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadelphia, PA 19104, United States of America
| | - Rajiv S Deshpande
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadelphia, PA 19104, United States of America
| | - Felix W Wehrli
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America
| | - Chamith S Rajapakse
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104, United States of America
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Heilbronner AK, Koff MF, Breighner R, Kim HJ, Cunningham M, Lebl DR, Dash A, Clare S, Blumberg O, Zaworski C, McMahon DJ, Nieves JW, Stein EM. Opportunistic Evaluation of Trabecular Bone Texture by MRI Reflects Bone Mineral Density and Microarchitecture. J Clin Endocrinol Metab 2023; 108:e557-e566. [PMID: 36800234 PMCID: PMC10516518 DOI: 10.1210/clinem/dgad082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/13/2023] [Accepted: 02/08/2023] [Indexed: 02/18/2023]
Abstract
CONTEXT Many individuals at high risk for fracture are never evaluated for osteoporosis and subsequently do not receive necessary treatment. Utilization of magnetic resonance imaging (MRI) is burgeoning, providing an ideal opportunity to use MRI to identify individuals with skeletal deficits. We previously reported that MRI-based bone texture was more heterogeneous in postmenopausal women with a history of fracture compared to controls. OBJECTIVE The present study aimed to identify the microstructural characteristics that underlie trabecular texture features. METHODS In a prospective cohort, we measured spine volumetric bone mineral density (vBMD) by quantitative computed tomography (QCT), peripheral vBMD and microarchitecture by high-resolution peripheral QCT (HRpQCT), and areal BMD (aBMD) by dual-energy x-ray absorptiometry. Vertebral trabecular bone texture was analyzed using T1-weighted MRIs. A gray level co-occurrence matrix was used to characterize the distribution and spatial organization of voxelar intensities and derive the following texture features: contrast (variability), entropy (disorder), angular second moment (ASM; uniformity), and inverse difference moment (IDM; local homogeneity). RESULTS Among 46 patients (mean age 64, 54% women), lower peripheral vBMD and worse trabecular microarchitecture by HRpQCT were associated with greater texture heterogeneity by MRI-higher contrast and entropy (r ∼ -0.3 to 0.4, P < .05), lower ASM and IDM (r ∼ +0.3 to 0.4, P < .05). Lower spine vBMD by QCT was associated with higher contrast and entropy (r ∼ -0.5, P < .001), lower ASM and IDM (r ∼ +0.5, P < .001). Relationships with aBMD were less pronounced. CONCLUSION MRI-based measurements of trabecular bone texture relate to vBMD and microarchitecture, suggesting that this method reflects underlying microstructural properties of trabecular bone. Further investigation is required to validate this methodology, which could greatly improve identification of patients with skeletal fragility.
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Affiliation(s)
- Alison K Heilbronner
- Division of Endocrinology/Metabolic Bone Disease Service, Hospital for Special Surgery, New York, NY 10021, USA
| | - Matthew F Koff
- Department of Radiology and Imaging—MRI, Hospital for Special Surgery, New York, NY 10021, USA
| | - Ryan Breighner
- Department of Radiology and Imaging—MRI, Hospital for Special Surgery, New York, NY 10021, USA
| | - Han Jo Kim
- Spine Service, Hospital for Special Surgery, New York, NY 10021, USA
| | | | - Darren R Lebl
- Spine Service, Hospital for Special Surgery, New York, NY 10021, USA
| | - Alexander Dash
- Division of Endocrinology/Metabolic Bone Disease Service, Hospital for Special Surgery, New York, NY 10021, USA
| | - Shannon Clare
- Division of Endocrinology/Metabolic Bone Disease Service, Hospital for Special Surgery, New York, NY 10021, USA
| | - Olivia Blumberg
- Division of Endocrinology/Metabolic Bone Disease Service, Hospital for Special Surgery, New York, NY 10021, USA
| | - Caroline Zaworski
- Division of Endocrinology/Metabolic Bone Disease Service, Hospital for Special Surgery, New York, NY 10021, USA
| | - Donald J McMahon
- Division of Endocrinology/Metabolic Bone Disease Service, Hospital for Special Surgery, New York, NY 10021, USA
| | - Jeri W Nieves
- Division of Endocrinology/Metabolic Bone Disease Service, Hospital for Special Surgery, New York, NY 10021, USA
- Mailman School of Public Health and Institute of Human Nutrition, Columbia University, New York, NY 10032, USA
| | - Emily M Stein
- Division of Endocrinology/Metabolic Bone Disease Service, Hospital for Special Surgery, New York, NY 10021, USA
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Zhou W, Duan T. Effects of maternal calcium and protein intake on the development and bone metabolism of offspring mice. Open Life Sci 2023; 18:20220631. [PMID: 37426616 PMCID: PMC10329277 DOI: 10.1515/biol-2022-0631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/19/2023] [Accepted: 05/17/2023] [Indexed: 07/11/2023] Open
Abstract
Maternal nutrition is pivotal for offspring's growth and development. Insufficient or unbalanced nutrition may cause osteoporosis and other diseases. Protein and calcium are essential dietary nutrients for offspring's growth. However, the optimal contents of protein and calcium in maternal diet remain unclear. In the present study, we set four different protein and calcium content-pregnancy nutrition groups, including normal full-nutrient (Normal), low protein and low calcium (Pro-; Ca-), high protein and low calcium (Pro+; Ca-), and high protein and high calcium groups (Pro+; Ca+), to evaluate the weight gain of maternal mice as well as the weight, bone metabolism, and bone mineral density of offspring mice. When the vaginal plug is found, the female mouse will be kept in a single cage and fed with corresponding feed until delivery. The findings demonstrate that Pro-; Ca- diet affects the growth and development of offspring mice after birth. In addition, a low-calcium diet inhibits the growth of embryonic mice. Collectively, the present work further confirms the importance of protein and calcium in the maternal diet and deeply suggests their respective roles in different development stages.
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Affiliation(s)
- Wenting Zhou
- Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, No. 2699 West Gaoke Road, Shanghai200092, China
| | - Tao Duan
- Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, No. 2699 West Gaoke Road, Shanghai200092, China
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Jones BC, Wehrli FW, Kamona N, Deshpande RS, Vu BTD, Song HK, Lee H, Grewal RK, Chan TJ, Witschey WR, MacLean MT, Josselyn NJ, Iyer SK, Al Mukaddam M, Snyder PJ, Rajapakse CS. Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning. Bone 2023; 171:116743. [PMID: 36958542 PMCID: PMC10121925 DOI: 10.1016/j.bone.2023.116743] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/01/2023] [Accepted: 03/16/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND Assessment of cortical bone porosity and geometry by imaging in vivo can provide useful information about bone quality that is independent of bone mineral density (BMD). Ultrashort echo time (UTE) MRI techniques of measuring cortical bone porosity and geometry have been extensively validated in preclinical studies and have recently been shown to detect impaired bone quality in vivo in patients with osteoporosis. However, these techniques rely on laborious image segmentation, which is clinically impractical. Additionally, UTE MRI porosity techniques typically require long scan times or external calibration samples and elaborate physics processing, which limit their translatability. To this end, the UTE MRI-derived Suppression Ratio has been proposed as a simple-to-calculate, reference-free biomarker of porosity which can be acquired in clinically feasible acquisition times. PURPOSE To explore whether a deep learning method can automate cortical bone segmentation and the corresponding analysis of cortical bone imaging biomarkers, and to investigate the Suppression Ratio as a fast, simple, and reference-free biomarker of cortical bone porosity. METHODS In this retrospective study, a deep learning 2D U-Net was trained to segment the tibial cortex from 48 individual image sets comprised of 46 slices each, corresponding to 2208 training slices. Network performance was validated through an external test dataset comprised of 28 scans from 3 groups: (1) 10 healthy, young participants, (2) 9 postmenopausal, non-osteoporotic women, and (3) 9 postmenopausal, osteoporotic women. The accuracy of automated porosity and geometry quantifications were assessed with the coefficient of determination and the intraclass correlation coefficient (ICC). Furthermore, automated MRI biomarkers were compared between groups and to dual energy X-ray absorptiometry (DXA)- and peripheral quantitative CT (pQCT)-derived BMD. Additionally, the Suppression Ratio was compared to UTE porosity techniques based on calibration samples. RESULTS The deep learning model provided accurate labeling (Dice score 0.93, intersection-over-union 0.88) and similar results to manual segmentation in quantifying cortical porosity (R2 ≥ 0.97, ICC ≥ 0.98) and geometry (R2 ≥ 0.82, ICC ≥ 0.75) parameters in vivo. Furthermore, the Suppression Ratio was validated compared to established porosity protocols (R2 ≥ 0.78). Automated parameters detected age- and osteoporosis-related impairments in cortical bone porosity (P ≤ .002) and geometry (P values ranging from <0.001 to 0.08). Finally, automated porosity markers showed strong, inverse Pearson's correlations with BMD measured by pQCT (|R| ≥ 0.88) and DXA (|R| ≥ 0.76) in postmenopausal women, confirming that lower mineral density corresponds to greater porosity. CONCLUSION This study demonstrated feasibility of a simple, automated, and ionizing-radiation-free protocol for quantifying cortical bone porosity and geometry in vivo from UTE MRI and deep learning.
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Affiliation(s)
- Brandon C Jones
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadelphia, PA 19104, United States of America.
| | - Felix W Wehrli
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America.
| | - Nada Kamona
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadelphia, PA 19104, United States of America.
| | - Rajiv S Deshpande
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadelphia, PA 19104, United States of America.
| | - Brian-Tinh Duc Vu
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadelphia, PA 19104, United States of America.
| | - Hee Kwon Song
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America.
| | - Hyunyeol Lee
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Republic of Korea.
| | - Rasleen Kaur Grewal
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America.
| | - Trevor Jackson Chan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, 210 South 33(rd) St, Philadelphia, PA 19104, United States of America.
| | - Walter R Witschey
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America.
| | - Matthew T MacLean
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America.
| | - Nicholas J Josselyn
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America; Department of Data Science, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609, United States of America.
| | - Srikant Kamesh Iyer
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America
| | - Mona Al Mukaddam
- Department of Medicine, Division of Endocrinology, Perelman School of Medicine, University of Pennsylvania, Perelman Center for Advanced Medicine, 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States of America.
| | - Peter J Snyder
- Department of Medicine, Division of Endocrinology, Perelman School of Medicine, University of Pennsylvania, Perelman Center for Advanced Medicine, 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States of America.
| | - Chamith S Rajapakse
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, PA 19104, United States of America.
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Texture Parameters Measured by UHF-MRI and CT Scan Provide Information on Bone Quality in Addition to BMD: A Biomechanical Ex Vivo Study. Diagnostics (Basel) 2022; 12:diagnostics12123143. [PMID: 36553150 PMCID: PMC9777398 DOI: 10.3390/diagnostics12123143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/03/2022] [Accepted: 12/10/2022] [Indexed: 12/14/2022] Open
Abstract
The current definition of osteoporosis includes alteration of bone quality. The assessment of bone quality is improved by the development of new texture analysis softwares. Our objectives were to assess if proximal femoral trabecular bone texture measured in Ultra high field (UHF) 7 Tesla MRI and CT scan were related to biomechanical parameters, and if the combination of texture parameters and areal bone mineral density (aBMD) measured by dual-energy X-ray absorptiometry provided a better prediction of femoral failure than aBMD alone. The aBMD of 16 proximal femur ends from eight cadavers were investigated. Nineteen textural parameters were computed in three regions or volumes of interest for each specimen on UHF MRI and CT scan. Then, the corresponding failure load and failure stress were calculated thanks to mechanical compression test. aBMD was not correlated to failure load (R2 = 0.206) and stress (R2 = 0.153). The failure load was significantly correlated with ten parameters in the greater trochanter using UHF MRI, and with one parameter in the neck and the greater trochanter using CT scan. Eight parameters in the greater trochanter using UHF MRI combined with aBMD improved the failure load prediction, and seven parameters improved the failure stress prediction. Our results suggest that textural parameters provide additional information on the fracture risk of the proximal femur when aBMD is not contributive.
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Soldati E, Pithioux M, Guenoun D, Bendahan D, Vicente J. Assessment of Bone Microarchitecture in Fresh Cadaveric Human Femurs: What Could Be the Clinical Relevance of Ultra-High Field MRI. Diagnostics (Basel) 2022; 12:diagnostics12020439. [PMID: 35204529 PMCID: PMC8870786 DOI: 10.3390/diagnostics12020439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/27/2022] [Accepted: 02/03/2022] [Indexed: 11/16/2022] Open
Abstract
MRI could be applied for bone microarchitecture assessment; however, this technique is still suffering from low resolution compared to the trabecular dimension. A clear comparative analysis between MRI and X-ray microcomputed tomography (μCT) regarding microarchitecture metrics is still lacking. In this study, we performed a comparative analysis between μCT and 7T MRI with the aim of assessing the image resolution effect on the accuracy of microarchitecture metrics. We also addressed the issue of air bubble artifacts in cadaveric bones. Three fresh cadaveric femur heads were scanned using 7T MRI and µCT at high resolution (0.051 mm). Samples were submitted to a vacuum procedure combined with vibration to reduce the volume of air bubbles. Trabecular interconnectivity, a new metric, and conventional histomorphometric parameters were quantified using MR images and compared to those derived from µCT at full resolution and downsized resolutions (0.102 and 0.153 mm). Correlations between bone morphology and mineral density (BMD) were evaluated. Air bubbles were reduced by 99.8% in 30 min, leaving partial volume effects as the only source of bias. Morphological parameters quantified with 7T MRI were not statistically different (p > 0.01) to those computed from μCT images, with error up to 8% for both bone volume fraction and trabecular spacing. No linear correlation was found between BMD and all morphological parameters except trabecular interconnectivity (R2 = 0.69 for 7T MRI-BMD). These results strongly suggest that 7T MRI could be of interest for in vivo bone microarchitecture assessment, providing additional information about bone health and quality.
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Affiliation(s)
- Enrico Soldati
- Aix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France;
- Aix Marseille Univ, CNRS, CRMBM, 13385 Marseille, France;
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (M.P.); (D.G.)
- Correspondence:
| | - Martine Pithioux
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (M.P.); (D.G.)
- Aix Marseille Univ, APHM, CNRS, ISM, Sainte-Marguerite Hospital, Institute for Locomotion, Department of Orthopaedics and Traumatology, 13274 Marseille, France
| | - Daphne Guenoun
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (M.P.); (D.G.)
- Aix Marseille Univ, APHM, CNRS, ISM, Sainte-Marguerite Hospital, Institute for Locomotion, Department of Radiology, 13274 Marseille, France
| | - David Bendahan
- Aix Marseille Univ, CNRS, CRMBM, 13385 Marseille, France;
| | - Jerome Vicente
- Aix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France;
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Soldati E, Vicente J, Guenoun D, Bendahan D, Pithioux M. Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI. Diagnostics (Basel) 2021; 11:1603. [PMID: 34573945 PMCID: PMC8466948 DOI: 10.3390/diagnostics11091603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/25/2021] [Accepted: 08/31/2021] [Indexed: 11/18/2022] Open
Abstract
Trabecular bone could be assessed non-invasively using MRI. However, MRI does not yet provide resolutions lower than trabecular thickness and a comparative analysis between different MRI sequences at different field strengths and X-ray microtomography (μCT) is still missing. In this study, we compared bone microstructure parameters and bone mineral density (BMD) computed using various MRI approaches, i.e., turbo spin echo (TSE) and gradient recalled echo (GRE) images used at different magnetic fields, i.e., 7T and 3T. The corresponding parameters computed from μCT images and BMD derived from dual-energy X-ray absorptiometry (DXA) were used as the ground truth. The correlation between morphological parameters, BMD and fracture load assessed by mechanical compression tests was evaluated. Histomorphometric parameters showed a good agreement between 7T TSE and μCT, with 8% error for trabecular thickness with no significative statistical difference and a good intraclass correlation coefficient (ICC > 0.5) for all the extrapolated parameters. No correlation was found between DXA-BMD and all morphological parameters, except for trabecular interconnectivity (R2 > 0.69). Good correlation (p-value < 0.05) was found between failure load and trabecular interconnectivity (R2 > 0.79). These results suggest that MRI could be of interest for bone microstructure assessment. Moreover, the combination of morphological parameters and BMD could provide a more comprehensive view of bone quality.
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Affiliation(s)
- Enrico Soldati
- Aix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France;
- Aix Marseille Univ, CNRS, CRMBM, 13385 Marseille, France;
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (D.G.); (M.P.)
| | - Jerome Vicente
- Aix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France;
| | - Daphne Guenoun
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (D.G.); (M.P.)
- Department of Radiology, Institute for Locomotion, Sainte-Marguerite Hospital, Aix Marseille Univ, APHM, CNRS, ISM, 13274 Marseille, France
| | - David Bendahan
- Aix Marseille Univ, CNRS, CRMBM, 13385 Marseille, France;
| | - Martine Pithioux
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (D.G.); (M.P.)
- Department of Orthopaedics and Traumatology, Institute for Locomotion, Sainte-Marguerite Hospital, Aix Marseille Univ, APHM, CNRS, ISM, 13274 Marseille, France
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Holman ME, Chang G, Ghatas MP, Saha PK, Zhang X, Khan MR, Sima AP, Adler RA, Gorgey AS. Bone and non-contractile soft tissue changes following open kinetic chain resistance training and testosterone treatment in spinal cord injury: an exploratory study. Osteoporos Int 2021; 32:1321-1332. [PMID: 33443609 DOI: 10.1007/s00198-020-05778-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 12/04/2020] [Indexed: 01/30/2023]
Abstract
UNLABELLED Twenty men with spinal cord injury (SCI) were randomized into two 16-week intervention groups receiving testosterone treatment (TT) or TT combined with resistance training (TT + RT). TT + RT appears to hold the potential to reverse or slow down bone loss following SCI if provided over a longer period. INTRODUCTION Persons with SCI experience bone loss below the level of injury. The combined effects of resistance training and TT on bone quality following SCI remain unknown. METHODS Men with SCI were randomized into 16-week treatments receiving TT or TT + RT. Magnetic resonance imaging (MRI) of the right lower extremity before participation and post-intervention was used to visualize the proximal, middle, and distal femoral shaft, the quadriceps tendon, and the intermuscular fascia of the quadriceps. For the TT + RT group, MRI microarchitecture techniques were utilized to elucidate trabecular changes around the knee. Individual mixed models were used to estimate effect sizes. RESULTS Twenty participants completed the pilot trial. A small effect for yellow marrow in the distal femur was indicated as increases following TT and decreases following TT + RT were observed. Another small effect was observed as the TT + RT group displayed greater increases in intermuscular fascia length than the TT arm. Distal femur trabecular changes for the TT + RT group were generally small in effect (decreased trabecular thickness variability, spacing, and spacing variability; increased network area). Medium effects were generally observed in the proximal tibia (increased plate width, trabecular thickness, and network area; decreased trabecular spacing and spacing variability). CONCLUSIONS This pilot suggests longer TT + RT interventions may be a viable rehabilitation technique to combat bone loss following SCI. CLINICAL TRIAL REGISTRATION Registered with clinicaltrials.gov : NCT01652040 (07/27/2012).
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Affiliation(s)
- M E Holman
- Spinal Cord Injury and Disorders, Hunter Holmes McGuire VAMC, Richmond, VA, 23249, USA
| | - G Chang
- Department of Radiology, NYU School of Medicine, New York, NY, 10016, USA
| | - M P Ghatas
- Spinal Cord Injury and Disorders, Hunter Holmes McGuire VAMC, Richmond, VA, 23249, USA
| | - P K Saha
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, 52242, USA
- Department of Radiology, University of Iowa, Iowa City, IA, 52242, USA
| | - X Zhang
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, 52242, USA
| | - M R Khan
- Department of Radiology, Hunter Holmes McGuire VAMC, Richmond, VA, 23249, USA
| | - A P Sima
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - R A Adler
- Spinal Cord Injury and Disorders, Hunter Holmes McGuire VAMC, Richmond, VA, 23249, USA
| | - A S Gorgey
- Spinal Cord Injury and Disorders, Hunter Holmes McGuire VAMC, Richmond, VA, 23249, USA.
- Department of Physical Medicine & Rehabilitation, Virginia Commonwealth University, Richmond, VA, 23284, USA.
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9
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Soldati E, Rossi F, Vicente J, Guenoun D, Pithioux M, Iotti S, Malucelli E, Bendahan D. Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure. Int J Mol Sci 2021; 22:2509. [PMID: 33801539 PMCID: PMC7958958 DOI: 10.3390/ijms22052509] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 02/21/2021] [Accepted: 02/25/2021] [Indexed: 12/12/2022] Open
Abstract
Bone microarchitecture has been shown to provide useful information regarding the evaluation of skeleton quality with an added value to areal bone mineral density, which can be used for the diagnosis of several bone diseases. Bone mineral density estimated from dual-energy X-ray absorptiometry (DXA) has shown to be a limited tool to identify patients' risk stratification and therapy delivery. Magnetic resonance imaging (MRI) has been proposed as another technique to assess bone quality and fracture risk by evaluating the bone structure and microarchitecture. To date, MRI is the only completely non-invasive and non-ionizing imaging modality that can assess both cortical and trabecular bone in vivo. In this review article, we reported a survey regarding the clinically relevant information MRI could provide for the assessment of the inner trabecular morphology of different bone segments. The last section will be devoted to the upcoming MRI applications (MR spectroscopy and chemical shift encoding MRI, solid state MRI and quantitative susceptibility mapping), which could provide additional biomarkers for the assessment of bone microarchitecture.
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Affiliation(s)
- Enrico Soldati
- CRMBM, CNRS, Aix Marseille University, 13385 Marseille, France;
- IUSTI, CNRS, Aix Marseille University, 13013 Marseille, France;
- ISM, CNRS, Aix Marseille University, 13288 Marseille, France; (D.G.); (M.P.)
| | - Francesca Rossi
- Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy; (F.R.); (S.I.); (E.M.)
| | - Jerome Vicente
- IUSTI, CNRS, Aix Marseille University, 13013 Marseille, France;
| | - Daphne Guenoun
- ISM, CNRS, Aix Marseille University, 13288 Marseille, France; (D.G.); (M.P.)
- Department of Radiology, Institute for Locomotion, Saint-Marguerite Hospital, ISM, CNRS, APHM, Aix Marseille University, 13274 Marseille, France
| | - Martine Pithioux
- ISM, CNRS, Aix Marseille University, 13288 Marseille, France; (D.G.); (M.P.)
- Department of Orthopedics and Traumatology, Institute for Locomotion, Saint-Marguerite Hospital, ISM, CNRS, APHM, Aix Marseille University, 13274 Marseille, France
| | - Stefano Iotti
- Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy; (F.R.); (S.I.); (E.M.)
- National Institute of Biostructures and Biosystems, 00136 Rome, Italy
| | - Emil Malucelli
- Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy; (F.R.); (S.I.); (E.M.)
| | - David Bendahan
- CRMBM, CNRS, Aix Marseille University, 13385 Marseille, France;
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10
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Zhang L, Wang L, Fu R, Wang J, Yang D, Liu Y, Zhang W, Liang W, Yang R, Yang H, Cheng X. In Vivo
Assessment of Age‐ and Loading Configuration‐Related Changes in Multiscale Mechanical Behavior of the Human Proximal Femur Using MRI‐Based Finite Element Analysis. J Magn Reson Imaging 2020; 53:905-912. [PMID: 33075178 DOI: 10.1002/jmri.27403] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 10/03/2020] [Accepted: 10/05/2020] [Indexed: 01/08/2023] Open
Affiliation(s)
- Lingyun Zhang
- Department of Biomedical Engineering, Faculty of Environment and Life Science Beijing University of Technology Beijing China
| | - Ling Wang
- Department of Radiology Beijing Jishuitan Hospital Beijing China
| | - Ruisen Fu
- Department of Biomedical Engineering, Faculty of Environment and Life Science Beijing University of Technology Beijing China
| | - Jianing Wang
- Department of Biomedical Engineering, Faculty of Environment and Life Science Beijing University of Technology Beijing China
| | - Dongyue Yang
- Department of Biomedical Engineering, Faculty of Environment and Life Science Beijing University of Technology Beijing China
| | - Yandong Liu
- Department of Radiology Beijing Jishuitan Hospital Beijing China
| | - Wei Zhang
- Department of Radiology Beijing Jishuitan Hospital Beijing China
| | - Wei Liang
- Department of Radiology Beijing Jishuitan Hospital Beijing China
| | - Ruopei Yang
- Department of Radiology Beijing Jishuitan Hospital Beijing China
| | - Haisheng Yang
- Department of Biomedical Engineering, Faculty of Environment and Life Science Beijing University of Technology Beijing China
| | - Xiaoguang Cheng
- Department of Radiology Beijing Jishuitan Hospital Beijing China
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11
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Sollmann N, Löffler MT, Kronthaler S, Böhm C, Dieckmeyer M, Ruschke S, Kirschke JS, Carballido-Gamio J, Karampinos DC, Krug R, Baum T. MRI-Based Quantitative Osteoporosis Imaging at the Spine and Femur. J Magn Reson Imaging 2020; 54:12-35. [PMID: 32584496 DOI: 10.1002/jmri.27260] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 05/31/2020] [Accepted: 06/01/2020] [Indexed: 12/27/2022] Open
Abstract
Osteoporosis is a systemic skeletal disease with a high prevalence worldwide, characterized by low bone mass and microarchitectural deterioration, predisposing an individual to fragility fractures. Dual-energy X-ray absorptiometry (DXA) has been the clinical reference standard for diagnosing osteoporosis and for assessing fracture risk for decades. However, other imaging modalities are of increasing importance to investigate the etiology, treatment, and fracture risk. The purpose of this work is to review the available literature on quantitative magnetic resonance imaging (MRI) methods and related findings in osteoporosis at the spine and proximal femur as the clinically most important fracture sites. Trabecular bone microstructure analysis at the proximal femur based on high-resolution MRI allows for a better prediction of osteoporotic fracture risk than DXA-based bone mineral density (BMD) alone. In the 1990s, T2 * mapping was shown to correlate with the density and orientation of the trabecular bone. Recently, quantitative susceptibility mapping (QSM), which overcomes some of the limitations of T2 * mapping, has been applied for trabecular bone quantifications at the spine, whereas ultrashort echo time (UTE) imaging provides valuable surrogate markers of cortical bone quantity and quality. Magnetic resonance spectroscopy (MRS) and chemical shift encoding-based water-fat MRI (CSE-MRI) enable the quantitative assessment of the nonmineralized bone compartment through extraction of the bone marrow fat fraction (BMFF). Furthermore, CSE-MRI allows for the differentiation of osteoporotic vs. pathologic fractures, which is of high clinical relevance. Lastly, advanced postprocessing and image analysis tools, particularly considering statistical parametric mapping and region-specific BMFF distributions, have high potential to further improve MRI-based fracture risk assessments at the spine and hip. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Nico Sollmann
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.,TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Maximilian T Löffler
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Sophia Kronthaler
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Christof Böhm
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Michael Dieckmeyer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.,TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Julio Carballido-Gamio
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Roland Krug
- Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Thomas Baum
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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12
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Inai R, Nakahara R, Morimitsu Y, Akagi N, Marukawa Y, Matsushita T, Tanaka T, Tada A, Hiraki T, Nasu Y, Nishida K, Ozaki T, Kanazawa S. Bone microarchitectural analysis using ultra-high-resolution CT in tiger vertebra and human tibia. Eur Radiol Exp 2020; 4:4. [PMID: 31993864 PMCID: PMC6987291 DOI: 10.1186/s41747-019-0135-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 11/13/2019] [Indexed: 02/08/2023] Open
Abstract
Background To reveal trends in bone microarchitectural parameters with increasing spatial resolution on ultra-high-resolution computed tomography (UHRCT) in vivo and to compare its performance with that of conventional-resolution CT (CRCT) and micro-CT ex vivo. Methods We retrospectively assessed 5 tiger vertebrae ex vivo and 16 human tibiae in vivo. Seven-pattern and four-pattern resolution imaging were performed on tiger vertebra using CRCT, UHRCT, and micro-CT, and on human tibiae using UHRCT. We measured six microarchitectural parameters: volumetric bone mineral density (vBMD), trabecular bone volume fraction (bone volume/total volume, BV/TV), trabecular thickness (Tb.Th), trabecular number (Tb.N), trabecular separation (Tb.Sp), and connectivity density (ConnD). Comparisons between different imaging resolutions were performed using Tukey or Dunnett T3 test. Results The vBMD, BV/TV, Tb.N, and ConnD parameters showed an increasing trend, while Tb.Sp showed a decreasing trend both ex vivo and in vivo. Ex vivo, UHRCT at the two highest resolutions (1024- and 2048-matrix imaging with 0.25-mm slice thickness) and CRCT showed significant differences (p ≤ 0.047) in vBMD (51.4 mg/cm3 and 63.5 mg/cm3versus 20.8 mg/cm3), BV/TV (26.5% and 29.5% versus 13.8 %), Tb.N (1.3 l/mm and 1.48 l/mm versus 0.47 l/mm), and ConnD (0.52 l/mm3 and 0.74 l/mm3versus 0.02 l/mm3, respectively). In vivo, the 512- and 1024-matrix imaging with 0.25-mm slice thickness showed significant differences in Tb.N (0.38 l/mm versus 0.67 l/mm, respectively) and ConnD (0.06 l/mm3versus 0.22 l/mm3, respectively). Conclusions We observed characteristic trends in microarchitectural parameters and demonstrated the potential utility of applying UHRCT for microarchitectural analysis.
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Affiliation(s)
- Ryota Inai
- Department of Radiology, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan.
| | - Ryuichi Nakahara
- Intelligent Orthopaedic System Development, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Yusuke Morimitsu
- Devision of Radiology, Medical Support Department, Okayama University Hospital, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Noriaki Akagi
- Devision of Radiology, Medical Support Department, Okayama University Hospital, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Youhei Marukawa
- Department of Radiology, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Toshi Matsushita
- Devision of Radiology, Medical Support Department, Okayama University Hospital, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Takashi Tanaka
- Department of Radiology, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Akihiro Tada
- Department of Radiology, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Takao Hiraki
- Department of Radiology, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Yoshihisa Nasu
- Medical materials for musculoskeletal reconstruction, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Keiichiro Nishida
- Orthopaedic Surgery, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Toshifumi Ozaki
- Orthopaedic Surgery, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
| | - Susumu Kanazawa
- Department of Radiology, Okayama University Medical School, 2-5-1 Shikatacho, Kitaku, Okayama, 700-8558, Japan
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13
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Guenoun D, Pithioux M, Souplet JC, Guis S, Le Corroller T, Fouré A, Pauly V, Mattei JP, Bernard M, Guye M, Chabrand P, Champsaur P, Bendahan D. Assessment of proximal femur microarchitecture using ultra-high field MRI at 7 Tesla. Diagn Interv Imaging 2019; 101:45-53. [PMID: 31331831 DOI: 10.1016/j.diii.2019.06.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 06/07/2019] [Accepted: 06/28/2019] [Indexed: 10/26/2022]
Abstract
PURPOSE The purpose of this study was to investigate bone microarchitecture of cadaveric proximal femurs using ultra-high field (UHF) 7-Tesla magnetic resonance imaging (MRI) and to compare the corresponding metrics with failure load assessed during mechanical compression test and areal bone mineral density (ABMD) measured using dual-energy X-ray absorptiometry. MATERIALS AND METHODS ABMD of ten proximal femurs from five cadavers (5 women; mean age=86.2±3.8 (SD) years; range: 82.5-90 years) were investigated using dual-energy X-ray absorptiometry and the bone volume fraction, trabecular thickness, trabecular spacing, fractal dimension, Euler characteristics, connectivity density and degree of anisotropy of each femur was quantified using UHF MRI. The whole set of specimens underwent mechanical compression tests to failure. The inter-rater reliability of microarchitecture characterization was assessed with the intraclass correlation coefficient (ICC). Associations were searched using correlation tests and multiple regression analysis. RESULTS The inter-rater reliability for bone microarchitecture parameters measurement was good with ICC ranging from 0.80 and 0.91. ABMD and the whole set of microarchitecture metrics but connectivity density significantly correlated with failure load. Microarchitecture metrics correlated to each other but did not correlate with ABMD. Multiple regression analysis disclosed that the combination of microarchitecture metrics and ABMD improved the association with failure load. CONCLUSION Femur bone microarchitecture metrics quantified using UHF MRI significantly correlated with biomechanical parameters. The multimodal assessment of ABMD and trabecular bone microarchitecture using UHF MRI provides more information about fracture risk of femoral bone and might be of interest for future investigations of patients with undetected osteoporosis.
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Affiliation(s)
- D Guenoun
- Department of Radiology, Institute for Locomotion, Sainte-Marguerite Hospital, APHM, 13009 Marseille, France; CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France.
| | - M Pithioux
- CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France
| | - J-C Souplet
- CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France
| | - S Guis
- CNRS, CRMBM UMR 7339, Department of Rheumatology, Aix-Marseille Université, AP-HM, 13000 Marseille, France
| | - T Le Corroller
- Department of Radiology, Institute for Locomotion, Sainte-Marguerite Hospital, APHM, 13009 Marseille, France; CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France
| | - A Fouré
- CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France
| | - V Pauly
- Unité de recherche EA3279, santé publique et maladies chroniques: qualité de vie concepts, usages et limites, déterminants, Aix-Marseille Université, 13005 Marseille, France; Service de santé publique et d'information médicale, Hôpital de la Conception, APHM, 13000 Marseille, France
| | - J-P Mattei
- CNRS, CRMBM UMR 7339, Department of Rheumatology, Aix-Marseille Université, AP-HM, 13000 Marseille, France
| | - M Bernard
- CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France
| | - M Guye
- CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France
| | - P Chabrand
- CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France
| | - P Champsaur
- Department of Radiology, Institute for Locomotion, Sainte-Marguerite Hospital, APHM, 13009 Marseille, France; CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France
| | - D Bendahan
- CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France
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