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Haverfield ZA, Agnew AM, Loftis K, Zhang J, Hayden LE, Hunter RL. Multi-site phantomless bone mineral density from clinical quantitative computed tomography in males. JBMR Plus 2024; 8:ziae106. [PMID: 39224571 PMCID: PMC11366047 DOI: 10.1093/jbmrpl/ziae106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 07/09/2024] [Accepted: 08/01/2024] [Indexed: 09/04/2024] Open
Abstract
Volumetric bone mineral density (vBMD) is commonly assessed using QCT. Although standard vBMD calculation methods require phantom rods that may not be available, internal-reference phantomless (IPL) and direct measurements of Hounsfield units (HU) can be used to calculate vBMD in their absence. Yet, neither approach has been systemically assessed across skeletal sites, and HU need further validation as a vBMD proxy. This study evaluated the accuracy of phantomless methods, including IPL and regression-based phantomless (RPL) calibration using HU to calculate vBMD, compared to phantom-based (PB) methods. vBMD from QCT scans of 100 male post-mortem human subjects (PMHS) was calculated using site-specific PB calibration at multiple skeletal sites throughout the body. A development sample of 50/100 PMHS was used to determine site-specific reference material density for IPL calibration and RPL equations. Reference densities and equations from the development sample were used to calculate IPL and RPL vBMD on the remaining 50/100 PMHS for method validation. PB and IPL/RPL vBMD were not significantly different (p > .05). Univariate regressions between PB and IPL/RPL vBMD were universally significant (p < 0.05), except for IPL Rad-30 (p = 0.078), with a percent difference across all sites of 6.97% ± 5.95% and 5.22% ± 4.59% between PB and IPL/RPL vBMD, respectively. As vBMD increased, there were weaker relationships and larger differences between PB vBMD and IPL/RPL vBMD. IPL and RPL vBMD had strong relationships with PB vBMD across sites (R2 = 97.99, R2 = 99.17%, respectively), but larger residual differences were found for IPL vBMD. As the accuracy of IPL/RPL vBMD varied between sites, phantomless methods should be site-specific to provide values more comparable to PB vBMD. Overall, this study suggests that RPL calibration may better represent PB vBMD compared to IPL calibration, increases the utility of opportunistic QCT, and provides insight into bone quality and fracture risk.
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Affiliation(s)
- Zachary A Haverfield
- Injury Biomechanics Research Center, The Ohio State University, Columbus, Ohio 43210, United States
| | - Amanda M Agnew
- Injury Biomechanics Research Center, The Ohio State University, Columbus, Ohio 43210, United States
| | - Kathryn Loftis
- United States Army Futures Command DEVCOM Analysis Center, Aberdeen Proving Ground, Maryland, 21005, United States
| | - Jun Zhang
- Medical Physics, The Ohio State University Wexner Medical Center, Columbus, Ohio 43210, United States
| | - Lauren E Hayden
- Injury Biomechanics Research Center, The Ohio State University, Columbus, Ohio 43210, United States
| | - Randee L Hunter
- Injury Biomechanics Research Center, The Ohio State University, Columbus, Ohio 43210, United States
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Dimai HP, Muschitz C, Amrein K, Bauer R, Cejka D, Gasser RW, Gruber R, Haschka J, Hasenöhrl T, Kainberger F, Kerschan-Schindl K, Kocijan R, König J, Kroißenbrunner N, Kuchler U, Oberforcher C, Ott J, Pfeiler G, Pietschmann P, Puchwein P, Schmidt-Ilsinger A, Zwick RH, Fahrleitner-Pammer A. [Osteoporosis-Definition, risk assessment, diagnosis, prevention and treatment (update 2024) : Guidelines of the Austrian Society for Bone and Mineral Research]. Wien Klin Wochenschr 2024; 136:599-668. [PMID: 39356323 PMCID: PMC11447007 DOI: 10.1007/s00508-024-02441-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2024] [Indexed: 10/03/2024]
Abstract
BACKGROUND Austria is among the countries with the highest incidence and prevalence of osteoporotic fractures worldwide. Guidelines for the prevention and management of osteoporosis were first published in 2010 under the auspices of the then Federation of Austrian Social Security Institutions and updated in 2017. The present comprehensively updated guidelines of the Austrian Society for Bone and Mineral Research are aimed at physicians of all specialties as well as decision makers and institutions in the Austrian healthcare system. The aim of these guidelines is to strengthen and improve the quality of medical care of patients with osteoporosis and osteoporotic fractures in Austria. METHODS These evidence-based recommendations were compiled taking randomized controlled trials, systematic reviews and meta-analyses as well as European and international reference guidelines published before 1 June 2023 into consideration. The grading of recommendations used ("conditional" and "strong") are based on the strength of the evidence. The evidence levels used mutual conversions of SIGN (1++ to 3) to NOGG criteria (Ia to IV). RESULTS The guidelines include all aspects associated with osteoporosis and osteoporotic fractures, such as secondary causes, prevention, diagnosis, estimation of the 10-year fracture risk using FRAX®, determination of Austria-specific FRAX®-based intervention thresholds, drug-based and non-drug-based treatment options and treatment monitoring. Recommendations for the office-based setting and decision makers and institutions in the Austrian healthcare system consider structured care models and options for osteoporosis-specific screening. CONCLUSION The guidelines present comprehensive, evidence-based information and instructions for the treatment of osteoporosis. It is expected that the quality of medical care for patients with this clinical picture will be substantially improved at all levels of the Austrian healthcare system.
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Affiliation(s)
- Hans Peter Dimai
- Klinische Abteilung für Endokrinologie und Diabetologie, Universitätsklinik für Innere Medizin, Medizinische Universität Graz, Graz, Österreich
| | - Christian Muschitz
- healthPi Medical Center, Medizinische Universität Wien, Wollzeile 1-3, 1010, Wien, Österreich.
- Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich.
| | - Karin Amrein
- Klinische Abteilung für Endokrinologie und Diabetologie, Universitätsklinik für Innere Medizin, Medizinische Universität Graz, Graz, Österreich
| | | | - Daniel Cejka
- Interne 3 - Nieren- und Hochdruckerkrankungen, Transplantationsmedizin, Rheumatologie, Ordensklinikum Linz Elisabethinen, Linz, Österreich
| | - Rudolf Wolfgang Gasser
- Universitätsklinik für Innere Medizin, Medizinische Universität Innsbruck, Innsbruck, Österreich
| | - Reinhard Gruber
- Universitätszahnklinik, Medizinische Universität Wien, Wien, Österreich
| | - Judith Haschka
- Hanusch Krankenhaus Wien, 1. Medizinische Abteilung, Ludwig Boltzmann Institut für Osteologie, Wien, Österreich
- Rheuma-Zentrum Wien-Oberlaa, Wien, Österreich
| | - Timothy Hasenöhrl
- Universitätsklinik für Physikalische Medizin, Rehabilitation und Arbeitsmedizin, Medizinische Universität Wien, Wien, Österreich
| | - Franz Kainberger
- Klinische Abteilung für Biomedizinische Bildgebung und Bildgeführte Therapie, Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Wien, Österreich
| | - Katharina Kerschan-Schindl
- Universitätsklinik für Physikalische Medizin, Rehabilitation und Arbeitsmedizin, Medizinische Universität Wien, Wien, Österreich
| | - Roland Kocijan
- Hanusch Krankenhaus Wien, 1. Medizinische Abteilung, Ludwig Boltzmann Institut für Osteologie, Wien, Österreich
| | - Jürgen König
- Department für Ernährungswissenschaften, Universität Wien, Wien, Österreich
| | | | - Ulrike Kuchler
- Universitätszahnklinik, Medizinische Universität Wien, Wien, Österreich
| | | | - Johannes Ott
- Klinische Abteilung für gynäkologische Endokrinologie und Reproduktionsmedizin, Universitätsklinik für Frauenheilkunde, Medizinische Universität Wien, Wien, Österreich
| | - Georg Pfeiler
- Klinische Abteilung für Gynäkologie und Gynäkologische Onkologie, Universitätsklinik für Frauenheilkunde, Medizinische Universität Wien, Wien, Österreich
| | - Peter Pietschmann
- Institut für Pathophysiologie und Allergieforschung, Zentrum für Pathophysiologie, Infektiologie und Immunologie (CEPII), Medizinische Universität Wien, Wien, Österreich
| | - Paul Puchwein
- Universitätsklinik für Orthopädie und Traumatologie, Medizinische Universität Graz, Graz, Österreich
| | | | - Ralf Harun Zwick
- Ludwig Boltzmann Institut für Rehabilitation Research, Therme Wien Med, Wien, Österreich
| | - Astrid Fahrleitner-Pammer
- Privatordination Prof. Dr. Astrid Fahrleitner-Pammer
- Klinische Abteilung für Endokrinologie und Diabetes, Universitätsklinik für Innere Medizin, Medizinische Universität Graz, Graz, Österreich
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Cheneymann A, Therkildsen J, Rasmussen LD, Thygesen J, Isaksen C, Hauge EM, Winther S, Böttcher M. Developing Cut-off Values for Low and Very Low Bone Mineral Density at the Thoracic Spine Using Quantitative Computed Tomography. Calcif Tissue Int 2024; 115:421-431. [PMID: 39152302 PMCID: PMC11405482 DOI: 10.1007/s00223-024-01268-3] [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: 03/13/2024] [Accepted: 07/23/2024] [Indexed: 08/19/2024]
Abstract
Osteoporosis is under-diagnosed while detectable by measuring bone mineral density (BMD) using quantitative computer tomography (QCT). Opportunistic screening for low BMD has previously been suggested using lumbar QCT. However, thoracic QCT also possesses this potential to develop upper and lower cut-off values for low thoracic BMD, corresponding to the current cut-offs for lumbar BMD. In participants referred with chest pain, lumbar and thoracic BMD were measured using non-contrast lumbar- and cardiac CT scans. Lumbar BMD cut-off values for very low (< 80 mg/cm3), low (80-120 mg/cm3), and normal BMD (> 120 mg/cm3) were used to assess the corresponding thoracic values. A linear regression enabled identification of new diagnostic thoracic BMD cut-off values. The 177 participants (mean age 61 [range 31-74] years, 51% women) had a lumbar BMD of 121.6 mg/cm3 (95% CI 115.9-127.3) and a thoracic BMD of 137.0 mg/cm3 (95% CI: 131.5-142.5), p < 0.001. Categorization of lumbar BMD revealed 14%, 35%, and 45% in each BMD category. When applied for the thoracic BMD measurements, 25% of participants were reclassified into a lower group. Linear regression predicted a relationship of Thoracic BMD = 0.85 * Lumbar BMD + 33.5, yielding adjusted thoracic cut-off values of < 102 and > 136 mg/cm3. Significant differences in BMD between lumbar and thoracic regions were found, but a linear relationship enabled the development of thoracic upper and lower cut-off values for low BMD in the thoracic spine. As Thoracic CT scans are frequent, these findings will strengthen the utilization of CT images for opportunistic detection of osteoporosis.
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Affiliation(s)
- Andia Cheneymann
- Department of Cardiology, University Clinic for Cardiovascular Research, Gødstrup Hospital, Hospitalsparken 15, 7400, Herning, Denmark
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Blvd. 99, Aarhus, Denmark
| | - Josephine Therkildsen
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Blvd. 99, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Blvd. 11, Aarhus, Denmark
| | - Laust Dupont Rasmussen
- Department of Cardiology, University Clinic for Cardiovascular Research, Gødstrup Hospital, Hospitalsparken 15, 7400, Herning, Denmark
- Department of Cardiology, Aalborg University Hospital, Hobrovej 18-22, Aalborg, Denmark
| | - Jesper Thygesen
- Department of Clinical Engineering, Aarhus University Hospital, Aarhus, Denmark
| | - Christin Isaksen
- Department of Radiology, Silkeborg Hospital, Falkevej 1D, Silkeborg, Denmark
| | - Ellen-Margrethe Hauge
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Blvd. 99, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Blvd. 11, Aarhus, Denmark
| | - Simon Winther
- Department of Cardiology, University Clinic for Cardiovascular Research, Gødstrup Hospital, Hospitalsparken 15, 7400, Herning, Denmark
| | - Morten Böttcher
- Department of Cardiology, University Clinic for Cardiovascular Research, Gødstrup Hospital, Hospitalsparken 15, 7400, Herning, Denmark.
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Blvd. 11, Aarhus, Denmark.
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Dudle A, Ith M, Egli R, Heverhagen J, Gugler Y, Wapp C, Frauchiger DA, Lippuner K, Jackowski C, Zysset P. Asynchronous calibration of a CT scanner for bone mineral density estimation: sources of error and correction. JBMR Plus 2024; 8:ziae096. [PMID: 39183821 PMCID: PMC11344033 DOI: 10.1093/jbmrpl/ziae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 06/20/2024] [Accepted: 07/12/2024] [Indexed: 08/27/2024] Open
Abstract
The estimation of BMD with CT scans requires a calibration method, usually based on a phantom. In asynchronous calibration, the phantom is scanned separately from the patient. A standardized acquisition protocol must be used to avoid variations between patient and phantom. However, variations can still be induced, for example, by temporal fluctuations or patient characteristics. Based on the further use of 739 forensic and 111 clinical CT scans, this study uses the proximal femur BMD value ("total hip") to assess asynchronous calibration accuracy, using in-scan calibration as ground truth. It identifies the parameters affecting the calibration accuracy and quantifies their impact. For time interval and table height, the impact was measured by calibrating the CT scan twice (once using the phantom scan with closest acquisition parameters and once using a phantom scan with standard values) and comparing the calibration accuracy. For other parameters such as body weight, the impact was measured by computing a linear regression between parameter values and calibration accuracy. Finally, this study proposes correction methods to reduce the effect of these parameters and improve the calibration accuracy. The BMD error of the asynchronous calibration, using the phantom scan with the closest acquisition parameters, was -1.2 ± 1.7% for the forensic and - 1.6 ± 3.5% for the clinical dataset. Among the parameters studied, time interval and body weight were identified as the main sources of error for asynchronous calibration, followed by table height and reconstruction kernel. Based on these results, a correction method was proposed to improve the calibration accuracy.
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Affiliation(s)
- Alice Dudle
- ARTORG Center for Biomedical Engineering Research, University of Bern, sitem-insel, Freiburgstrasse 3, Bern 3010, Switzerland
| | - Michael Ith
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University of Bern, Freiburgstrasse 10, Bern 3010, Switzerland
| | - Rainer Egli
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University of Bern, Freiburgstrasse 10, Bern 3010, Switzerland
| | - Johannes Heverhagen
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University of Bern, Freiburgstrasse 10, Bern 3010, Switzerland
| | - Yvan Gugler
- ARTORG Center for Biomedical Engineering Research, University of Bern, sitem-insel, Freiburgstrasse 3, Bern 3010, Switzerland
| | - Christina Wapp
- ARTORG Center for Biomedical Engineering Research, University of Bern, sitem-insel, Freiburgstrasse 3, Bern 3010, Switzerland
| | - Daniela A Frauchiger
- ARTORG Center for Biomedical Engineering Research, University of Bern, sitem-insel, Freiburgstrasse 3, Bern 3010, Switzerland
- Department of Osteoporosis, Inselspital, Bern University Hospital, University of Bern, Freiburgstrsasse 4, Bern 3010, Switzerland
| | - Kurt Lippuner
- Department of Osteoporosis, Inselspital, Bern University Hospital, University of Bern, Freiburgstrsasse 4, Bern 3010, Switzerland
| | - Christian Jackowski
- Institute of Forensic Medicine, University of Bern, Murtenstrasse 28, Bern 3008, Switzerland
| | - Philippe Zysset
- ARTORG Center for Biomedical Engineering Research, University of Bern, sitem-insel, Freiburgstrasse 3, Bern 3010, Switzerland
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Ellis LF, House AK, Shimura K, Frances M. Comparison of Hounsfield Units within the Humeral Trochlea and Medial Coronoid Process in a Population of Labrador X Golden Retriever Guide Dogs and Border Collies. Vet Comp Orthop Traumatol 2024; 37:223-229. [PMID: 38447963 DOI: 10.1055/s-0043-1778631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
OBJECTIVE The aim of this study was to determine if variations in Hounsfield units (HU) are present within the elbow between asymptomatic dogs of two breeds of dogs susceptible to elbow dysplasia. STUDY DESIGN Guide Dogs and Border Collies that presented for routine computed tomography (CT) screening for elbow dysplasia prior to breeding were evaluated. All dogs had no documented history of lameness. Dogs diagnosed with CT as being free of elbow dysplasia were included. The CT images were randomized and assessed by three blinded observers. A standardised approach to CT image reconstruction to create consistent image planes was used. Hounsfield units were measured within a standardised region of interest (ROI) at the humeral trochlea and medial coronoid process. The minimum, mean and maximum HU within each ROI was recorded. RESULTS Eighty-six elbows were included in the study with 32 Guide Dogs, and 11 Border Collies. Guide Dogs had significantly higher minimum (99.75 HU, 95% confidence interval [CI]: 15.02-184.48, p = 0.022), mean (115.09 HU, 95% CI: 80.53-149.64, p < 0.01) and maximum (74.00 HU, 95% CI: 44.58-103.42, p < 0.01) difference in HU within the medial coronoid process ROI, and significantly higher mean (146.49 HU, 95% CI: 100.12-192.87, p < 0.01) and maximum (147.77 HU, 95% CI: 102.57-192.97, p < 0.01) difference in HU within the humeral trochlea ROI. CONCLUSION In this dataset breed variations in elbow HU were present between asymptomatic Guide Dogs and Border Collies. This needs to be considered in breeding screening programmes to avoid over-interpretation of elbow sclerosis, in the absence of elbow pathology.
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Affiliation(s)
- Luke F Ellis
- Department of Small Animal Surgery, Peninsula Vet Emergency and Referral Hospital, Mornington, VIC, Australia
| | - Arthur K House
- Department of Small Animal Surgery, Peninsula Vet Emergency and Referral Hospital, Mornington, VIC, Australia
| | - Kiyoko Shimura
- Department of Research, Peninsula Vet Emergency and Referral Hospital, Mornington, VIC, Australia
| | - Mika Frances
- Department of Small Animal Radiology, VetCT, Perth, Australia
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Cai J, Han W, Yang T, Ye H, Jiang Y, Liu Z, Liu Q. MRI-Based Vertebral Bone Quality Score Can Predict the Imminent New Vertebral Fracture After Vertebral Augmentation. Neurosurgery 2024; 95:566-575. [PMID: 38483168 PMCID: PMC11302943 DOI: 10.1227/neu.0000000000002901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/09/2024] [Indexed: 08/09/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The incidence of imminent new vertebral fracture (NVF) is notably high after vertebral augmentation (VA), but accurately assessing the imminent risk of NVF remains a great challenge. The aim of this study was to investigate whether the MRI-based vertebral bone quality (VBQ) score can predict the risk of imminent NVF after VA within a 2-year period. METHODS A total of 135 patients age 50 years and older who suffered from painful osteoporotic vertebral compression fracture and treated with VA were enrolled in this retrospective study. Each patient's VBQ scores were calculated from T1-weighted, T2-weighted, and short tau inversion recovery sequences of preoperative lumbar MRI. The clinical factors and VBQ score were integrated to create a predictive model by using the logistic regression algorithm and visualize by nomogram. Receiver operating characteristic curve, calibration curve, and decision curve analyses were used to evaluate the predictive performance of the nomogram. RESULTS The mean VBQ-T1WI and VBQ-T2WI scores of the NVF group were 4.61 ± 0.55 and 0.89 ± 0.14, respectively, which were significantly higher than those of the without NVF group (3.99 ± 0.54 and 0.79 ± 0.12, respectively, P < .001), as well as the VBQ-combined score (0.75 ± 1.30 vs -0.80 ± 1.26, P < .001), which is the combination of VBQ-T1WI and VBQ-T2WI scores. On multivariate analysis, the predictors of imminent NVF included age (odds ratio [OR] = 1.064, 95% CI = 1.009-1.122, P = .022), previous vertebral fracture (OR = 2.089, 95% CI = 0.888-4.915, P = .091), and VBQ-combined score (OR = 2.239, 95% CI = 1.529-3.279, P < .001). The nomogram achieved superior performance with an area under the receiver operating characteristic curve of 0.838 (95% CI: 0.773-0.904) in predicting the imminent NVF compared to the clinical factors or VBQ-combined score alone. CONCLUSION The VBQ score obtained from lumbar MRI can be used to assess the VBQ and predict the imminent NVF after VA in patients with osteoporotic vertebral compression fracture.
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Affiliation(s)
- Jinhui Cai
- Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Department of Radiology, The Fourth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wen Han
- Department of Radiology, The Fourth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Tingqian Yang
- Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Haoyi Ye
- Department of Radiology, The Fourth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yang Jiang
- Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Zhifeng Liu
- Department of Radiology, The Fourth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qingyu Liu
- Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
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Waungana TH, Qiu K, Tse JJ, Anderson DD, Emery CA, Boyd SK, Manske SL. Accuracy of Volumetric Bone Mineral Density Measurement in Weight Bearing, Cone Beam Computed Tomography. J Clin Densitom 2024; 27:101504. [PMID: 38897133 DOI: 10.1016/j.jocd.2024.101504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 05/15/2024] [Accepted: 06/03/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Weight bearing computed tomography (WBCT) utilizes cone beam CT technology to provide assessments of lower limb joint structures while they are functionally loaded. Grey-scale values indicative of X-ray attenuation that are output from cone beam CT are challenging to calibrate, and their use for bone mineral density (BMD) measurement remains debatable. To determine whether WBCT can be reliably used for cortical and trabecular BMD assessment, we sought to establish the accuracy of BMD measurements at the knee using modern WBCT by comparing them to measurements from conventional CT. METHODS A hydroxyapatite phantom with three inserts of varying densities was used to systematically quantify signal uniformity and BMD accuracy across the acquisition volume. We evaluated BMD in vivo (n = 5, female) using synchronous and asynchronous calibration techniques in WBCT and CT. To account for variation in attenuation along the height (z-axis) of acquisition volumes, we tested a height-dependent calibration approach for both WBCT and CT images. RESULTS Phantom BMD measurement error in WBCT was as high as 15.3% and consistently larger than CT (up to 5.6%). Phantom BMD measures made under synchronous conditions in WBCT improved measurement accuracy by up to 3% but introduced more variability in measured BMD. We found strong correlations (R = 0.96) as well as wide limits of agreement (-324 mgHA/cm3 to 183 mgHA/cm3) from Bland-Altman analysis between WBCT and CT measures in vivo that were not improved by height-dependent calibration. CONCLUSION Whilst BMD accuracy from WBCT was found to be dependent on apparent density, accuracy was independent of the calibration technique (synchronous or asynchronous) and the location of the measurement site within the field of view. Overall, we found strong correlations between BMD measures from WBCT and CT and in vivo measures to be more accurate in trabecular bone regions. Importantly, WBCT can be used to distinguish between anatomically relevant differences in BMD, however future work is necessary to determine the repeatability and sensitivity of BMD measures in WBCT.
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Affiliation(s)
- Tadiwa H Waungana
- Biomedical Engineering Graduate Program, University of Calgary, Alberta, Canada; McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada; Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Keven Qiu
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada; David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada
| | - Justin J Tse
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada; Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Donald D Anderson
- Department of Orthopedics and Rehabilitation, University of Iowa, Iowa City, Iowa, United States
| | - Carolyn A Emery
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada; Faculty of Kinesiology, University of Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Alberta, Canada; O'Brien Institute for Public Health, University of Calgary, Alberta, Canada
| | - Steven K Boyd
- Biomedical Engineering Graduate Program, University of Calgary, Alberta, Canada; McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada; Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Sarah L Manske
- Biomedical Engineering Graduate Program, University of Calgary, Alberta, Canada; McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada; Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada.
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8
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Chen B, Cui J, Li C, Xu P, Xu G, Jiang J, Xue P, Sun Y, Cui Z. Application of radiomics model based on lumbar computed tomography in diagnosis of elderly osteoporosis. J Orthop Res 2024; 42:1356-1368. [PMID: 38245854 DOI: 10.1002/jor.25789] [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: 08/06/2023] [Revised: 12/31/2023] [Accepted: 01/04/2024] [Indexed: 01/22/2024]
Abstract
A metabolic bone disease characterized by decreased bone formation and increased bone resorption is osteoporosis. It can cause pain and fracture of patients. The elderly are prone to osteoporosis and are more vulnerable to osteoporosis. In this study, radiomics are extracted from computed tomography (CT) images to screen osteoporosis in the elderly. Collect the plain scan CT images of lumbar spine, cut the region of interest of the image and extract radiomics features, use Lasso regression to screen variables and adjust complexity, use python language to model random forests, support vector machines, K nearest neighbor, and finally use receiver operating characteristic curve to evaluate the performance of the model, including precision, recall, accuracy and area under the curve (AUC). For the model, 14 radiolomics features were selected. The diagnosis performance of random forest model and support vector machine is good, all around 0.9. The AUC of K nearest neighbor model in training set and test set is 0.828 and 0.796, respectively. We selected the plain scan CT images of the elderly lumbar spine to build radiomics features model, which has good diagnostic performance and can be used as a tool to assist the diagnosis of osteoporosis in the elderly.
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Affiliation(s)
- Baisen Chen
- Department of Orthopedics, Nantong City No. 1 People's Hospital and Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
- Nantong University, Nantong, Jiangsu Province, China
| | - Jiaming Cui
- Department of Orthopedics, Nantong City No. 1 People's Hospital and Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Chaochen Li
- Department of Orthopedics, Nantong City No. 1 People's Hospital and Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
- Nantong University, Nantong, Jiangsu Province, China
- Key Laboratory for Restoration Mechanism and Clinical Translation of Spinal Cord Injury, Nantong, China
- Research Institute for Spine and Spinal Cord Disease of Nantong University, Nantong, China
| | - Pengjun Xu
- Department of Orthopedics, Nantong University Affiliated Hospital, Nantong, Jiangsu, China
| | - Guanhua Xu
- Department of Orthopedics, Nantong City No. 1 People's Hospital and Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Jiawei Jiang
- Department of Orthopedics, Nantong City No. 1 People's Hospital and Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Pengfei Xue
- Department of Orthopedics, Nantong City No. 1 People's Hospital and Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Yuyu Sun
- Department of Orthopedic, Nantong Third People's Hospital, Nantong, Jiangsu Province, China
| | - Zhiming Cui
- Department of Orthopedics, Nantong City No. 1 People's Hospital and Second Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
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9
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Zhou F, Zhang W, Geng J, Liu Y, Yuan Y, Ma K, Cheng Z, Huang P, Cheng X, Wang L, Liu Y. Comparisons of Hounsfield units and volumetric bone density in discriminating vertebral fractures on lumbar CT scans. Br J Radiol 2024; 97:1003-1009. [PMID: 38457607 PMCID: PMC11075977 DOI: 10.1093/bjr/tqae053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/11/2023] [Accepted: 03/05/2024] [Indexed: 03/10/2024] Open
Abstract
OBJECTIVES To compare the performance of areal Hounsfield units (aHUs), volumetric Hounsfield units (vHUs), and volumetric bone mineral density (vBMD) by quantitative CT (QCT) in discriminating vertebral fractures (VFs) risk. METHODS We retrospectively included CT scans of the lumbar spine 101 VFs cases (60 women, mean age: 64 ± 4 years; 41 men, mean age: 73 ± 10 years) and sex- and age-matched 101 control subjects (60 women, mean age: 64 ± 4 years; 41 men, mean age: 72 ± 7 years). In order to assess the discriminatory capability of aHU, vHU, and vBMD measurements at the L1 and L2 levels in identifying VFs, we conducted binary logistic regression and receiver operating characteristic (ROC) curve analyses in men and women. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. RESULTS In both men and women with and without VFs, aHU, vHU, and vBMD were highly correlated with each other (r2 from 0.832 to 0.957, all P < .001). There was a statistically significant difference in aHU, vHU, and vBMD between subjects with and without VFs (P < .001). When age, gender, and BMI were taken into account as covariances and adjusted simultaneously, odds ratios (ORs) for aHU, vHU, and vBMD values, which represent the risk of VFs, were significant (P < .001). Compared with aHU and vHU, vBMD was more strongly associated with VF risk (vBMD: OR, 6.29; 95% CI, 3.83-10.35 vs vHU: OR, 3.64; 95% CI, 2.43-5.46 vs aHU: OR, 2.56; 95% CI, 1.79-3.67). In both men and women, further, vBMD had higher values for AUC, sensitivity, specificity, PPV, and NPV compared to vHU, with vHU in turn surpassing aHU. The area under the receiver operating characteristic curve (AUC) for discriminating VFs using the average aHU, vHU, and vBMD of 2 vertebrae was 0.72, 0.77, and 0.87 in men and 0.76, 0.79, and 0.86 in women. In both men and women, there exist statistically significant differences in the AUC when employing the 3 measurements-namely, aHU, vHU, and vBMD-to discriminate fractures (P < .05). CONCLUSIONS The QCT-measured vBMD is more associated with acute VFs than vHU and aHU values of the lumbar spine. Although the use of vHU and aHU values for the diagnosis of osteoporosis and discriminating fracture risk is limited to scanner- and imaging protocol-specific, they have great potential for opportunistic osteoporosis screening, particularly vHU. ADVANCES IN KNOWLEDGE The novelty of this study presents a comparison of the VF discriminative capabilities among aHU, vHU, and vBMD. The vHU values introduced in this study demonstrate a greater capacity to discriminate fractures compared to aHU, presenting an improved clinical choice. Although its discriminatory capability is slightly lower than that of vBMD, it is more convenient to measure and does not require specialized software.
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Affiliation(s)
- Fengyun Zhou
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Wenshuang Zhang
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Jian Geng
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Yandong Liu
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Yi Yuan
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Kangkang Ma
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Zitong Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Pengju Huang
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Xiaoguang Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
- JST sarcopenia Research Centre, National Center for Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Yajun Liu
- JST sarcopenia Research Centre, National Center for Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
- Department of Spine Surgery, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
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10
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Lu H, Lary CW, Hodonsky CJ, Peyser PA, Bos D, van der Laan SW, Miller CL, Rivadeneira F, Kiel DP, Kavousi M, Medina-Gomez C. Association between BMD and coronary artery calcification: an observational and Mendelian randomization study. J Bone Miner Res 2024; 39:443-452. [PMID: 38477752 PMCID: PMC11262143 DOI: 10.1093/jbmr/zjae022] [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: 08/07/2023] [Revised: 01/10/2024] [Accepted: 01/22/2024] [Indexed: 03/14/2024]
Abstract
Observational studies have reported inconsistent associations between bone mineral density (BMD) and coronary artery calcification (CAC). We examined the observational association of BMD with CAC in 2 large population-based studies and evaluated the evidence for a potential causal relation between BMD and CAC using polygenic risk scores (PRS), 1- and 2-sample Mendelian randomization (MR) approaches. Our study populations comprised 1414 individuals (mean age 69.9 yr, 52.0% women) from the Rotterdam Study and 2233 individuals (mean age 56.5 yr, 50.9% women) from the Framingham Heart Study with complete information on CAC and BMD measurements at the total body (TB-), lumbar spine (LS-), and femoral neck (FN-). We used linear regression models to evaluate the observational association between BMD and CAC. Subsequently, we compared the mean CAC across PRSBMD quintile groups at different skeletal sites. In addition, we used the 2-stage least squares regression and the inverse variance weighted (IVW) model as primary methods for 1- and 2-sample MR to test evidence for a potentially causal association. We did not observe robust associations between measured BMD levels and CAC. These results were consistent with a uniform random distribution of mean CAC across PRSBMD quintile groups (P-value > .05). Moreover, neither 1- nor 2-sample MR supported the possible causal association between BMD and CAC. Our results do not support the contention that lower BMD is (causally) associated with an increased CAC risk. These findings suggest that previously reported epidemiological associations of BMD with CAC are likely explained by unmeasured confounders or shared etiology, rather than by causal pathways underlying both osteoporosis and vascular calcification processes.
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Affiliation(s)
- Haojie Lu
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
| | - Christine W Lary
- Roux Institute at Northeastern University, Portland, ME 04101, United States
| | - Chani J Hodonsky
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, United States
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
| | - Sander W van der Laan
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, CX 3584, The Netherlands
| | - Clint L Miller
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, United States
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22903, United States
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22903, United States
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA 02131, United States
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, United States
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
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11
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Matheson BE, Neeteson NJ, Boyd SK. Establishing error bounds for internal calibration of quantitative computed tomography. Med Eng Phys 2024; 124:104109. [PMID: 38418020 DOI: 10.1016/j.medengphy.2024.104109] [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: 08/23/2023] [Revised: 12/11/2023] [Accepted: 01/17/2024] [Indexed: 03/01/2024]
Abstract
Opportunistic computed tomography (CT) scans, which can assess relevant osteoporotic bones of interest, offer a potential solution for identifying osteoporotic individuals. CT scans usually do not contain calibration phantoms, so internal calibration methods have been developed to create a voxel-specific density calibration that can be used in opportunistic CT. It remains a challenge, however, to account for potential sources of error in internal calibration, such as beam hardening or heterogeneous internal reference tissues. The purpose of this work was to introduce our internal calibration method that accounts for these variations and to estimate error bounds for the bone mineral density (BMD) measurements taken from internally calibrated scans. The error bounds are derived by incorporating a combination of a Monte Carlo simulation and standard error propagation into our previously established internal calibration method. A cohort of 138 clinical abdominal CT scans were calibrated for BMD assessment with a phantom placed in the field of view and used as the ground truth. Our modified internal calibration method provided error bounds on the same images and was tested to contain the ground truth phantom-calibrated BMD. This was repeated using 10 different internal reference tissue combinations to explore how error bounds are affected by the choice of internal tissue referents. We found that the tissue combination of air, skeletal muscle, and cortical bone yielded the most accurate BMD estimates while maintaining error bounds that were sufficiently conservative to account for sources of error such as beam hardening and heterogeneous tissue samples. The mean difference between the phantom BMD and the BMD resulting from the tissue combination of air, skeletal muscle and cortical bone was 2.12 mg/cc (0.06% BMD error) and 1.13 mg/cc (0.02 % BMD error) for the left and right femur, respectively. Providing error bounds for internal calibration provides a method to explore the influence of internal reference tissues and confidence for BMD estimates.
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Affiliation(s)
- Bryn E Matheson
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary AB, Canada
| | - Nathan J Neeteson
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary AB, Canada
| | - Steven K Boyd
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary AB, Canada.
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12
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Tong X, Wang S, Zhang J, Fan Y, Liu Y, Wei W. Automatic Osteoporosis Screening System Using Radiomics and Deep Learning from Low-Dose Chest CT Images. Bioengineering (Basel) 2024; 11:50. [PMID: 38247927 PMCID: PMC10813496 DOI: 10.3390/bioengineering11010050] [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: 11/28/2023] [Revised: 12/21/2023] [Accepted: 12/29/2023] [Indexed: 01/23/2024] Open
Abstract
OBJECTIVE Develop two fully automatic osteoporosis screening systems using deep learning (DL) and radiomics (Rad) techniques based on low-dose chest CT (LDCT) images and evaluate their diagnostic effectiveness. METHODS In total, 434 patients who underwent LDCT and bone mineral density (BMD) examination were retrospectively enrolled and divided into the development set (n = 333) and temporal validation set (n = 101). An automatic thoracic vertebra cancellous bone (TVCB) segmentation model was developed. The Dice similarity coefficient (DSC) was used to evaluate the segmentation performance. Furthermore, the three-class Rad and DL models were developed to distinguish osteoporosis, osteopenia, and normal bone mass. The diagnostic performance of these models was evaluated using the receiver operating characteristic (ROC) curve and decision curve analysis (DCA). RESULTS The automatic segmentation model achieved excellent segmentation performance, with a mean DSC of 0.96 ± 0.02 in the temporal validation set. The Rad model was used to identify osteoporosis, osteopenia, and normal BMD in the temporal validation set, with respective area under the receiver operating characteristic curve (AUC) values of 0.943, 0.801, and 0.932. The DL model achieved higher AUC values of 0.983, 0.906, and 0.969 for the same categories in the same validation set. The Delong test affirmed that both models performed similarly in BMD assessment. However, the accuracy of the DL model is 81.2%, which is better than the 73.3% accuracy of the Rad model in the temporal validation set. Additionally, DCA indicated that the DL model provided a greater net benefit compared to the Rad model across the majority of the reasonable threshold probabilities Conclusions: The automated segmentation framework we developed can accurately segment cancellous bone on low-dose chest CT images. These predictive models, which are based on deep learning and radiomics, provided comparable diagnostic performance in automatic BMD assessment. Nevertheless, it is important to highlight that the DL model demonstrates higher accuracy and precision than the Rad model.
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Affiliation(s)
| | | | | | | | | | - Wei Wei
- Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian 116014, China (S.W.); (Y.F.)
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13
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Cheneymann A, Therkildsen J, Winther S, Nissen L, Thygesen J, Langdahl BL, Hauge EM, Bøttcher M. Bone Mineral Density Derived from Cardiac CT Scans: Using Contrast Enhanced Scans for Opportunistic Screening. J Clin Densitom 2024; 27:101441. [PMID: 38006641 DOI: 10.1016/j.jocd.2023.101441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 11/01/2023] [Indexed: 11/27/2023]
Abstract
PURPOSE Osteoporosis is under-diagnosed and often co-exists with other diseases. Very low bone mineral density (BMD) indicates risk of osteoporosis and opportunistic screening for low BMD in CT-scans has been suggested. In a non-contrast enhanced thoracic CT scan, the scan-field-of-view includes vertebrae enabling BMD estimation. However, many CT scans are obtained by administration of contrast material. If the impact of contrast enhancement on BMD measurements could be quantified, considerably more patients are eligible for screening. METHODS This study investigated the impact of intravenous contrast on thoracic BMD measurements in cardiac CT scans pre- and post-contrast, including different contrast trigger levels of 130 and 180 Hounsfield units (HU). BMD was measured using quantitative CT with asynchronous calibration. RESULTS In 195 participants undergoing cardiac CT (mean age 57±9 years, 37 % females) contrast increased mean thoracic BMD from 116±33 mg/cm3 (non-enhanced CT) to 130±38 mg/cm3 (contrast-enhanced CT) (p<0.001). Using clinical cut-off values for very low (<80 mg/cm3) and low BMD (<120 mg/cm3) showed that 24 % (47/195 participants) were misclassified when BMD was measured on contrast-enhanced CT-scans. Of the misclassified patients, 6 % (12/195 participants) were categorized as having low BMD despite having very low BMD on the non-enhanced images. Contrast-CT using a higher contrast trigger level showed a significant increase in BMD compared to the lower trigger level (119±32 vs. 135±40 mg/cm3, p<0.01). CONCLUSION For patients undergoing cardiac CT, using contrast-enhanced images to assess BMD entails substantial overestimation. Contrast protocol trigger levels also affect BMD measurements. Adjusting for these factors is needed before contrast-enhanced images can be used clinically. MINI ABSTRACT Osteoporosis is under-diagnosed. Contrast-enhanced CT made to examine other diseases might be utilized simultaneously for bone mineral density (BMD) screening. These scans, however, likely entails overestimation of BMD due to the effect of contrast. Adjusting for this effect is needed before contrast-enhanced images can be implemented clinically for BMD screening.
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Affiliation(s)
| | - Josephine Therkildsen
- Department of Rheumatology, Aarhus University Hospital, Aarhus Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Simon Winther
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark
| | - Louise Nissen
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark
| | - Jesper Thygesen
- Department of Clinical Engineering, Aarhus University Hospital, Aarhus, Denmark
| | - Bente L Langdahl
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Endocrinology, Aarhus University Hospital, Aarhus, Denmark
| | - Ellen-Margrethe Hauge
- Department of Rheumatology, Aarhus University Hospital, Aarhus Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Morten Bøttcher
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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14
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Pan Y, Zhao F, Cheng G, Wang H, Lu X, He D, Wu Y, Ma H, PhD HL, Yu T. Automated vertebral bone mineral density measurement with phantomless internal calibration in chest LDCT scans using deep learning. Br J Radiol 2023; 96:20230047. [PMID: 37751163 PMCID: PMC10646618 DOI: 10.1259/bjr.20230047] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 08/04/2023] [Accepted: 09/09/2023] [Indexed: 09/27/2023] Open
Abstract
OBJECTIVE To develop and evaluate a fully automated method based on deep learning and phantomless internal calibration for bone mineral density (BMD) measurement and opportunistic low BMD (osteopenia and osteoporosis) screening using chest low-dose CT (LDCT) scans. METHODS A total of 1175 individuals were enrolled in this study, who underwent both chest LDCT and BMD examinations with quantitative computed tomography (QCT), by two different CT scanners (Siemens and GE). Two convolutional neural network (CNN) models were employed for vertebral body segmentation and labeling, respectively. A histogram technique was applied for vertebral BMD calculation using paraspinal muscle and surrounding fat as references. 195 cases (by Siemens scanner) as fitting cohort were used to build the calibration function. 698 cases as validation cohort I (VCI, by Siemens scanner) and 282 cases as validation cohort II (VCII, by GE scanner) were performed to evaluate the performance of the proposed method, with QCT as the standard for analysis. RESULTS The average BMDs from the proposed method were strongly correlated with QCT (in VCI: r = 0.896, in VCII: r = 0.956, p < 0.001). Bland-Altman analysis showed a small mean difference of 1.1 mg/cm3, and large interindividual differences as seen by wide 95% limits of agreement (-29.9 to +32.0 mg/cm3) in VCI. The proposed method measured BMDs were higher than QCT measured BMDs in VCII (mean difference = 15.3 mg/cm3, p < 0.001). Osteoporosis and low BMD were diagnosed by proposed method with AUCs of 0.876 and 0.903 in VCI, 0.731 and 0.794 in VCII, respectively. The AUCs of the proposed method were increased to over 0.920 in both VCI and VCII after adjusting the cut-off. CONCLUSION Without manual selection of the region of interest of body tissues, the proposed method based on deep learning and phantomless internal calibration has the potential for preliminary screening of patients with low BMD using chest LDCT scans. However, the agreement between the proposed method and QCT is insufficient to allow them to be used interchangeably in BMD measurement. ADVANCES IN KNOWLEDGE This study proposed an automated vertebral BMD measurement method based on deep learning and phantomless internal calibration with paraspinal muscle and fat as reference.
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Affiliation(s)
- Yaling Pan
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Fanfan Zhao
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Gen Cheng
- Hangzhou Yitu Healthcare Technology Co. Ltd, Hangzhou, Zhejiang, China
| | - Huogen Wang
- College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiangjun Lu
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Dong He
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Yinbo Wu
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Hongfeng Ma
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Hui Li PhD
- Hangzhou Yitu Healthcare Technology Co. Ltd, Hangzhou, Zhejiang, China
| | - Taihen Yu
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
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15
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Di M, Weng Y, Wang G, Bian H, Qi H, Wu H, Chen C, Dou Y, Wang Z, Ma X, Xu B, Zhu S, Lu WW, Yang Q. Cortical Endplate Bone Density Measured by Novel Phantomless Quantitative Computed Tomography May Predict Cage Subsidence more Conveniently and Accurately. Orthop Surg 2023; 15:3126-3135. [PMID: 37853959 PMCID: PMC10694013 DOI: 10.1111/os.13897] [Citation(s) in RCA: 2] [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: 02/23/2023] [Revised: 07/19/2023] [Accepted: 07/20/2023] [Indexed: 10/20/2023] Open
Abstract
OBJECTIVE Previous studies have shown that bone mineral density (BMD) is a predictor of cage subsidence. Phantom-less quantitative computed tomography (PL-QCT) can measure volumetric bone mineral density (vBMD) of lumbar trabecular and cortical bone. The study of endplate vBMD (EP-vBMD) is important in predicting cage settlement after extreme lateral interbody fusion (XLIF). This study aimed to determine the risk factors for postoperative cage subsidence after XLIF, particularly focusing on the relationship between vBMD measured by automatic PL-QCT and cage subsidence. METHODS Patients who underwent XLIF surgery from January 2018 to October 2020 with a minimum of 6 months of follow-up were retrospectively included. Cage subsidence was defined as >2 mm cage sinking on the adjacent endplate in follow-up imaging evaluation. Outcome measures were localized vBMDs included EP-vBMDs with different region of interest (ROI) heights measured by PL-QCT based on a customized muscle-fat algorithm. Shapiro-Wilk test, one-way ANOVA, Mann-Whitney test, Fisher exact test, univariable and multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were executed in this study. RESULTS One hundred and thirteen levels of 78 patients were included in the analysis. The mean age was 65 ± 7.9 years for 11 males and 67 females. Cage subsidence occurred on 45 (39.8%) surgical levels. There was no significant difference in demographics, fused levels, or preoperative radiographic parameters. 1.25-mm EP-vBMD (0.991 [0.985,0.997], p = 0.004) and P-TB-vBMD (cage-positioned trabecular volumetric bone mineral density) (0.988 [0.977-0.999], p = 0.026) were cage-subsidence relevant according to univariate analysis. Low 1.25-mm EP-vBMD (0.992 [0.985, 0.999], p = 0.029) was an independent risk factor according to multifactorial analysis. CONCLUSION Preoperative low EP-vBMD was an independent risk factor for postoperative cage subsidence after XLIF. EP-vBMD measured by most cortex-occupied ROI may be the optimal vBMD parameter for cage subsidence prediction.
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Affiliation(s)
- Mingyuan Di
- Graduate SchoolTianjin Medical UniversityTianjinChina
- Department of Spine SurgeryTianjin Hospital, Tianjin UniversityTianjinChina
| | - Yuanzhi Weng
- Department of Orthopaedics and TraumatologyLi Ka Shing Faculty of Medicine, The University of Hong KongPokfulamChina
- Department of Orthopaedics and TraumatologyThe University of Hong Kong‐Shenzhen HospitalShenzhenChina
| | - Guohua Wang
- Graduate SchoolTianjin Medical UniversityTianjinChina
- Department of Spine SurgeryTianjin Hospital, Tianjin UniversityTianjinChina
| | - Hanming Bian
- Graduate SchoolTianjin Medical UniversityTianjinChina
- Department of Spine SurgeryTianjin Hospital, Tianjin UniversityTianjinChina
| | - Huan Qi
- Department of Orthopaedics and TraumatologyLi Ka Shing Faculty of Medicine, The University of Hong KongPokfulamChina
- Department of Orthopaedics and TraumatologyThe University of Hong Kong‐Shenzhen HospitalShenzhenChina
| | - Hongjin Wu
- Graduate SchoolTianjin Medical UniversityTianjinChina
- Department of Spine SurgeryTianjin Hospital, Tianjin UniversityTianjinChina
| | - Chao Chen
- Department of Spine SurgeryTianjin Hospital, Tianjin UniversityTianjinChina
| | - Yiming Dou
- Department of Spine SurgeryTianjin Hospital, Tianjin UniversityTianjinChina
| | - Zhi Wang
- Tianjin Hospital of Tianjin UniversityTianjinChina
| | - Xinlong Ma
- Department of Spine SurgeryTianjin Hospital, Tianjin UniversityTianjinChina
| | - Baoshan Xu
- Department of Spine SurgeryTianjin Hospital, Tianjin UniversityTianjinChina
| | - Shan Zhu
- Tianjin Hospital of Tianjin UniversityTianjinChina
| | - Weijia William Lu
- Department of Orthopaedics and TraumatologyLi Ka Shing Faculty of Medicine, The University of Hong KongPokfulamChina
- Department of Orthopaedics and TraumatologyThe University of Hong Kong‐Shenzhen HospitalShenzhenChina
| | - Qiang Yang
- Department of Spine SurgeryTianjin Hospital, Tianjin UniversityTianjinChina
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16
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Ye K, Xing Y, Zou D, Zhou F, Zhang Z, Du G, Tian Y. Positive correlation between the proximal femur Hounsfield units from routine CT and DXA results. J Orthop Res 2023; 41:2648-2656. [PMID: 37211875 DOI: 10.1002/jor.25630] [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: 10/10/2022] [Revised: 03/30/2023] [Accepted: 05/16/2023] [Indexed: 05/23/2023]
Abstract
To determinate the correlation between the proximal femur Hounsfield unit (HU) value and dual-energy X-ray absorptiometry (DXA) results, and to identify its feasibility for opportunistic screening osteoporosis. A total of 680 patients underwent computed tomography (CT) containing proximal femur and DXA test within 6 months between 2010 and 2020 in our hospital. The CT HU value of four axial slices of the proximal femur were measured. The measurements were compared with the DXA results by Pearson correlation coefficient. Receiver operator characteristic curve were generated to identify the best cutoff for diagnosing osteoporosis. These 680 consecutive patients included 165 male and 515 female; the average age was 63.66 ± 11.36 years old, the mean interval time between two examinations was 45.43 days. The most representative CT HU value measurement was the 5-mm slice measurement. The average CT HU value was 59.3 ± 36.5 HU, and the differences among the three DXA defined bone mineral density (BMD) categories were significant (all p < 0.001). The Pearson correlation analysis showed that the proximal femur CT values had strong positive correlation with femoral neck T-score, femoral neck BMD and total hip BMD (r = 0.777, r = 0.748, r = 0.746, respectively; all p < 0.001). The area under the curve for CT value for diagnosing osteoporosis was 0.893 (p < 0.001), the best cutoff was 67 HU with 84% sensitivity, 80% specificity, 92% positive predictive value and 65% negative predictive value. Proximal femur CT values had good positive correlation with DXA results, which could be used to opportunistic screening for potential osteoporosis patient.
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Affiliation(s)
- Kaifeng Ye
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, Beijing, China
| | - Yong Xing
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, Beijing, China
| | - Da Zou
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, Beijing, China
| | - Fang Zhou
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, Beijing, China
| | - Zhishan Zhang
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, Beijing, China
| | - Guohong Du
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, Beijing, China
| | - Yun Tian
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Disease Research, Peking University Third Hospital, Beijing, China
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17
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Therkildsen J, Rohde PD, Nissen L, Thygesen J, Hauge EM, Langdahl BL, Boettcher M, Nyegaard M, Winther S. A genome-wide genomic score added to standard recommended stratification tools does not improve the identification of patients with very low bone mineral density. Osteoporos Int 2023; 34:1893-1906. [PMID: 37495683 PMCID: PMC10579117 DOI: 10.1007/s00198-023-06857-w] [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: 01/11/2023] [Accepted: 07/10/2023] [Indexed: 07/28/2023]
Abstract
The role of integrating genomic scores (GSs) needs to be assessed. Adding a GS to recommended stratification tools does not improve the prediction of very low bone mineral density. However, we noticed that the GS performed equally or above individual risk factors in discrimination. PURPOSE We aimed to investigate whether adding a genomic score (GS) to recommended stratification tools improves the discrimination of participants with very low bone mineral density (BMD). METHODS BMD was measured in three thoracic vertebrae using CT. All participants provided information on standard osteoporosis risk factors. GSs and FRAX scores were calculated. Participants were grouped according to mean BMD into very low (<80 mg/cm3), low (80-120 mg/cm3), and normal (>120 mg/cm3) and according to the Bone Health and Osteoporosis Foundation recommendations for BMD testing into an "indication for BMD testing" and "no indication for BMD testing" group. Different models were assessed using the area under the receiver operating characteristics curves (AUC) and reclassification analyses. RESULTS In the total cohort (n=1421), the AUC for the GS was 0.57 (95% CI 0.52-0.61) corresponding to AUCs for osteoporosis risk factors. In participants without indication for BMD testing, the AUC was 0.60 (95% CI 0.52-0.69) above or equal to AUCs for osteoporosis risk factors. Adding the GS to a clinical risk factor (CRF) model resulted in AUCs not statistically significant from the CRF model. Using probability cutoff values of 6, 12, and 24%, we found no improved reclassification or risk discrimination using the CRF-GS model compared to the CRF model. CONCLUSION Our results suggest adding a GS to a CRF model does not improve prediction. However, we noticed that the GS performed equally or above individual risk factors in discrimination. Clinical risk factors combined showed superior discrimination to individual risk factors and the GS, underlining the value of combined CRFs in routine clinics as a stratification tool.
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Affiliation(s)
- J Therkildsen
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus, Denmark.
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus, Denmark.
| | - P D Rohde
- Department of Health Science & Technology, Aalborg University, Selma Lagerløfs Vej 24, 9269, Gistrup, Denmark
| | - L Nissen
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus, Denmark
- Department of Cardiology, Gødstrup Hospital, Hospitalsparken 15, 7400, Herning, Denmark
| | - J Thygesen
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus, Denmark
- Department of Clinical Engineering, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus, Denmark
| | - E-M Hauge
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus, Denmark
| | - B L Langdahl
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus, Denmark
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus, Denmark
| | - M Boettcher
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus, Denmark
- Department of Cardiology, Gødstrup Hospital, Hospitalsparken 15, 7400, Herning, Denmark
| | - M Nyegaard
- Department of Health Science & Technology, Aalborg University, Selma Lagerløfs Vej 24, 9269, Gistrup, Denmark
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, 8000, Aarhus, Denmark
| | - S Winther
- Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200, Aarhus, Denmark
- Department of Cardiology, Gødstrup Hospital, Hospitalsparken 15, 7400, Herning, Denmark
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18
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Liu F, Zhu H, Ma J, Miao L, Chen S, Yin Z, Wang H. Performance of iCare quantitative computed tomography in bone mineral density assessment of the hip and vertebral bodies in European spine phantom. J Orthop Surg Res 2023; 18:777. [PMID: 37845720 PMCID: PMC10578019 DOI: 10.1186/s13018-023-04174-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 09/08/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND Osteoporosis is a systemic bone disease which can increase the risk of osteoporotic fractures. Dual-energy X-ray absorptiometry (DXA) is considered as the clinical standard for diagnosing osteoporosis by detecting the bone mineral density (BMD) in patients, but it has flaws in distinguishing between calcification and other degenerative diseases, thus leading to inaccurate BMD levels in subjects. Mindways quantitative computed tomography (Mindways QCT) is a classical QCT system. Similar to DXA, Mindways QCT can directly present the density of trabecular bone, vascular or tissue calcification; therefore, it is more accurate and sensitive than DXA and has been widely applied in clinic to evaluate osteoporosis. iCare QCT osteodensitometry was a new phantom-based QCT system, recently developed by iCare Inc. (China). It has been gradually applied in clinic by its superiority of taking 3-dimensional BMD of bone and converting BMD values to T value automatically. This study aimed at evaluating the osteoporosis detection rate of iCare QCT, compared with synchronous Mindways QCT (USA). METHODS In this study, 131 patients who underwent hip phantom-based CT scan were included. Bone mineral density (BMD) of the unified region of interests (ROI) defined at the European spine phantom (ESP, German QRM) including L1 (low), L2 (medium), and L3 (high) vertebral bodies was detected for QCT quality control and horizontal calibration. Every ESP scan were taken for 10 times, and the mean BMD values measured by iCare QCT and Mindways QCT were compared. Hip CT scan was conducted with ESP as calibration individually. T-scores gained from iCare QCT and Mindways QCT were analyzed with Pearson correlation test. The detection rates of osteoporosis were compared between iCare QCT and Mindways QCT. The unified region of interests (ROI) was delineated in the QCT software. RESULTS The results showed that there was no significant difference between iCare QCT and Mindways QCT in the evaluation of L1, L2, and L3 vertebrae bodies in ESP. A strong correlation between iCare QCT and Mindways QCT in the assessment of hip T-score was found. It was illustrated that iCare QCT had a higher detection rate of osteoporosis with the assessment of hip T-score than Mindways QCT did. In patients < 50 years subgroup, the detection rate of osteoporosis with iCare QCT and Mindways QCT was equal. In patients ≥ 50 years subgroup, the detection rate of osteoporosis with iCare QCT (35/92, 38.0%) was higher than that with Mindways QCT. In female subgroup, the detection rate of osteoporosis with iCare QCT was significantly higher than Mindways QCT. In male subgroup, the detection rate of osteoporosis with iCare QCT was also markedly higher than Mindways QCT. The detection rate of osteoporosis by iCare QCT was higher than Mindways QCT with hip bone assessment. Of course, the results of the present study remain to be further verified by multicenter studies in the future.
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Affiliation(s)
- Feng Liu
- Department of Medical Imaging, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, 130 Renmin Zhong Lu, Jiangyin City, 214400, Jiangsu Province, China
| | - Hongmei Zhu
- Department of Medical Imaging, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, 130 Renmin Zhong Lu, Jiangyin City, 214400, Jiangsu Province, China
| | - Jinlian Ma
- Department of Medical Imaging, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, 130 Renmin Zhong Lu, Jiangyin City, 214400, Jiangsu Province, China
| | - Liqiong Miao
- Department of Medical Imaging, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, 130 Renmin Zhong Lu, Jiangyin City, 214400, Jiangsu Province, China
| | - Shuang Chen
- Department of Medical Imaging, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, 130 Renmin Zhong Lu, Jiangyin City, 214400, Jiangsu Province, China
| | - Zijie Yin
- Department of Medical Imaging, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, 130 Renmin Zhong Lu, Jiangyin City, 214400, Jiangsu Province, China
| | - Huan Wang
- Department of Medical Imaging, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, 130 Renmin Zhong Lu, Jiangyin City, 214400, Jiangsu Province, China.
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19
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Lin M, Ridley L, Seibel MJ. Prediction of low DEXA T-scores by routine computed tomography body scans at different kilovoltage peaks. J Med Imaging Radiat Oncol 2023; 67:602-608. [PMID: 37199007 DOI: 10.1111/1754-9485.13537] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 04/22/2023] [Indexed: 05/19/2023]
Abstract
INTRODUCTION Previous studies have demonstrated positive correlations between computed tomography (CT) attenuation of lumbar spine vertebrae and their bone mineral density (BMD) measured by dual-energy X-ray absorptiometry (DEXA). However, these studies were performed using a standard 120 kilovoltage peak (kVp) setting. As radiation attenuation in mineralised tissues varies by the tube voltage applied, we determined the diagnostic accuracy of CT attenuation at identifying individuals with low BMD at different kVp settings. METHODS Single centre retrospective study of adults who had CT and DEXA scans within 6 months of each other. CT scans were performed at either 100 kVp, 120 kVp or dual energy (80 kVp/140 kVp). Attenuation was measured in axial cross-sections of L1-4 vertebrae and correlated with the results of DEXA. Receiver operated characteristic (ROC) curves were generated to determine diagnostic cut-off thresholds. RESULTS Analysis included 268 subjects (169 females; mean age: 70, range: 20-94 years). CT attenuation values at L1 or mean L1-4 correlated positively with DEXA-derived T-scores. At L1, the optimal Hounsfield units (HU) thresholds for predicting DEXA T-scores of -2.5 or less at 100 kVp, 120 kVp and dual-energy scans were <170, <128 and <164, with corresponding AUCs of 0.925, 0.814 and 0.743 respectively. For mean L1-4, the HU thresholds were <173, <134 and <151, with corresponding AUCs of 0.933, 0.824 and 0.707 respectively. CONCLUSION CT attenuation thresholds differ depending on the tube voltage used. We provide voltage-specific, probability-optimised thresholds for the identification of persons likely to have low BMD on DEXA scanning.
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Affiliation(s)
- Mike Lin
- Department of Endocrinology and Metabolism, Concord Hospital, Sydney, New South Wales, Australia
| | - Lloyd Ridley
- Department of Radiology|, Concord Hospital, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Markus J Seibel
- Department of Endocrinology and Metabolism, Concord Hospital, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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20
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Shepherd JA. Positions of The International Society for Clinical Densitometry and Their Etiology: A Scoping Review. J Clin Densitom 2023; 26:101369. [PMID: 37127451 DOI: 10.1016/j.jocd.2023.101369] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 04/05/2023] [Indexed: 05/03/2023]
Abstract
The International Society for Clinical Densitometry convenes a Position Development Conference (PDC) every 2 to 3 years to make recommendations for guidelines and standards in the field of musculoskeletal measurement and assessment. The recommendations pertain to clinically relevant issues regarding the acquisition, quality control, interpretation, and reporting of measures of various aspects of musculoskeletal health. These PDCs have been meeting since 2002 and have generated 214 Adult, 26 FRAX, 41 pediatric, and 9 general nomenclature consideration positions, for a total of 290 positions. All positions are justified by detailed documents that present the background and rationale for each position. However, the linkage to these publications is not maintained by the ISCD or any other publication such that physicians cannot easily understand the etiology of the positions. Further, the wording of many positions has changed over the years after being reviewed by subsequent PDCs. This scoping review captures the references, changes, and timeline associated with each position through the 2019 PDC. It is meant to serve as a guide to clinicians and researchers for intelligent use and application of the positions.
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Affiliation(s)
- John A Shepherd
- Department of Epidemiology and Population Sciences, University of Hawaii Cancer Center, 701 Ilalo Street, Suite 522, Honolulu, HI, 96813, USA.
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21
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Vanier AT, Colantonio D, Saxena SK, Rodkey D, Wagner S. Computed Tomography of the Chest as a Screening Tool for Low Bone Mineral Density. Mil Med 2023; 188:665-669. [PMID: 34950956 DOI: 10.1093/milmed/usab519] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 10/07/2021] [Accepted: 12/01/2021] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION Computed tomography (CT) Hounsfield units (HU) recently emerged as a promising screening tool for low bone mineral density (BMD). We hypothesized that CT HU measurements of the thoracic spine would significantly and positively correlate with dual X-ray absorptiometry (DXA) BMD scans of the femoral neck. MATERIALS AND METHODS The study included patients with DXA scans and thoracic CT scans at the Walter Reed National Military Medical Center. One author, blinded to the DXA scans, measured HU from the cancellous bone in T4 vertebrae. Another author statistically compared femoral neck DXA T-scores to the CT HU measurements. RESULTS The study included 145 patients with CT scans and femoral neck DXAs. The osteoporotic and osteopenic groups had a significant difference in HU measurements compared to the normal group within the study (P < .0001 and .002, respectively). A low BMD screening value of 231 HU provided a sensitivity of 90.1% and negative predictive value of 85.7%. CONCLUSION Thoracic vertebrae HU measurements correlate with a low BMD of the femoral neck as determined by DXA T-scores. A high sensitivity and negative predictive value was achieved with a screening value of 231 HU. Utilization of chest or thoracic spine CT imaging as a screening method provides a quick and available screening tool for assessing low BMD in patients with these scans.Level of Evidence: III (Diagnostic).
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Affiliation(s)
- Alan T Vanier
- Department of Orthopaedic Surgery, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
| | - Donald Colantonio
- Department of Orthopaedic Surgery, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
| | - Sameer K Saxena
- Department of Orthopaedic Surgery, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
| | - Daniel Rodkey
- Department of Orthopaedic Surgery, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
| | - Scott Wagner
- Department of Orthopaedic Surgery, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
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22
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Cianferotti L, Cipriani C, Corbetta S, Corona G, Defeudis G, Lania AG, Messina C, Napoli N, Mazziotti G. Bone quality in endocrine diseases: determinants and clinical relevance. J Endocrinol Invest 2023:10.1007/s40618-023-02056-w. [PMID: 36918505 DOI: 10.1007/s40618-023-02056-w] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 03/01/2023] [Indexed: 03/15/2023]
Abstract
PURPOSE Bone is one of the main targets of hormones and endocrine diseases are frequent causes of secondary osteoporosis and fractures in real-world clinical practice. However, diagnosis of skeletal fragility and prediction of fractures in this setting could be a challenge, since the skeletal alterations induced by endocrine disorders are not generally captured by dual-energy X-ray absorptiometry (DXA) measurement of bone mineral density (BMD), that is the gold standard for diagnosis of osteoporosis in the general population. The aim of this paper is to review the existing evidence related to bone quality features in endocrine diseases, proposing assessment with new techniques in the future. METHODS A comprehensive search within electronic databases was performed to collect reports of bone quality in primary hyperparathyroidism, hypoparathyroidism, hyperthyroidism, hypercortisolism, growth hormone deficiency, acromegaly, male hypogonadism and diabetes mellitus. RESULTS Using invasive and non-invasive techniques, such as high-resolution peripheral quantitative computed tomography or DXA measurement of trabecular bone score (TBS), several studies consistently reported altered bone quality as predominant determinant of fragility fractures in subjects affected by chronic endocrine disorders. CONCLUSIONS Assessment of skeletal fragility in endocrine diseases might take advantage from the use of techniques to detect perturbation in bone architecture with the aim of best identifying patients at high risk of fractures.
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Affiliation(s)
- L Cianferotti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale GB Morgagni 50, 50134, Florence, Italy
| | - C Cipriani
- Department of Clinical, Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy
| | - S Corbetta
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Endocrinology and Diabetology Service, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - G Corona
- Endocrinology Unit, Medical Department, Azienda Usl, Maggiore-Bellaria Hospital, Bologna, Italy
| | - G Defeudis
- Unit of Endocrinology and Diabetes, Department of Medicine, University Campus Bio-Medico di Roma, 00128, Rome, Italy
- Department of Movement, Human and Health Sciences, Health Sciences Section, University "Foro Italico", Rome, Italy
| | - A G Lania
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090, Pieve Emanuele, MI, Italy
- Endocrinology, Diabetology and Andrology Unit, IRCCS Humanitas Research Hospital, Via A Manzoni 56, 20089, Rozzano, MI, Italy
| | - C Messina
- Radiology Unit, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
- University of Milan, Department of Biomedical Sciences for Health, Milan, Italy
| | - N Napoli
- Unit of Endocrinology and Diabetes, Department of Medicine, University Campus Bio-Medico di Roma, 00128, Rome, Italy
- Division of Bone and Mineral Diseases, Washington University in St Louis, St Louis, MO, USA
| | - G Mazziotti
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090, Pieve Emanuele, MI, Italy.
- Endocrinology, Diabetology and Andrology Unit, IRCCS Humanitas Research Hospital, Via A Manzoni 56, 20089, Rozzano, MI, Italy.
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23
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Smith ACJ, Tse JJ, Waungana TH, Bott KN, Kuczynski MT, Michalski AS, Boyd SK, Manske SL. Internal calibration for opportunistic computed tomography muscle density analysis. PLoS One 2022; 17:e0273203. [PMID: 36251648 PMCID: PMC9576101 DOI: 10.1371/journal.pone.0273203] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 10/02/2022] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Muscle weakness can lead to reduced physical function and quality of life. Computed tomography (CT) can be used to assess muscle health through measures of muscle cross-sectional area and density loss associated with fat infiltration. However, there are limited opportunities to measure muscle density in clinically acquired CT scans because a density calibration phantom, allowing for the conversion of CT Hounsfield units into density, is typically not included within the field-of-view. For bone density analysis, internal density calibration methods use regions of interest within the scan field-of-view to derive the relationship between Hounsfield units and bone density, but these methods have yet to be adapted for muscle density analysis. The objective of this study was to design and validate a CT internal calibration method for muscle density analysis. METHODOLOGY We CT scanned 10 bovine muscle samples using two scan protocols and five scan positions within the scanner bore. The scans were calibrated using internal calibration and a reference phantom. We tested combinations of internal calibration regions of interest (e.g., air, blood, bone, muscle, adipose). RESULTS We found that the internal calibration method using two regions of interest, air and adipose or blood, yielded accurate muscle density values (< 1% error) when compared with the reference phantom. The muscle density values derived from the internal and reference phantom calibration methods were highly correlated (R2 > 0.99). The coefficient of variation for muscle density across two scan protocols and five scan positions was significantly lower for internal calibration (mean = 0.33%) than for Hounsfield units (mean = 6.52%). There was no difference between coefficient of variation for the internal calibration and reference phantom methods. CONCLUSIONS We have developed an internal calibration method to produce accurate and reliable muscle density measures from opportunistic computed tomography images without the need for calibration phantoms.
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Affiliation(s)
- Ainsley C. J. Smith
- Biomedical Engineering Graduate Program, University of Calgary, Alberta, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada
| | - Justin J. Tse
- Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada
| | - Tadiwa H. Waungana
- Biomedical Engineering Graduate Program, University of Calgary, Alberta, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada
| | - Kirsten N. Bott
- Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada
| | - Michael T. Kuczynski
- Biomedical Engineering Graduate Program, University of Calgary, Alberta, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada
| | - Andrew S. Michalski
- Biomedical Engineering Graduate Program, University of Calgary, Alberta, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada
| | - Steven K. Boyd
- Biomedical Engineering Graduate Program, University of Calgary, Alberta, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada
| | - Sarah L. Manske
- Biomedical Engineering Graduate Program, University of Calgary, Alberta, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Alberta, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada
- * E-mail:
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24
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Carey JJ, Chih-Hsing Wu P, Bergin D. Risk assessment tools for osteoporosis and fractures in 2022. Best Pract Res Clin Rheumatol 2022; 36:101775. [PMID: 36050210 DOI: 10.1016/j.berh.2022.101775] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Osteoporosis is one of the frequently encountered non-communicable diseases in the world today. Several hundred million people have osteoporosis, with many more at risk. The clinical feature is a fragility fracture (FF), which results in major reductions in the quality and quantity of life, coupled with a huge financial burden. In recognition of the growing importance, the World Health Organisation established a working group 30 years ago tasked with providing a comprehensive report to understand and assess the risk of osteoporosis in postmenopausal women. Dual-energy X-ray absorptiometry (DXA) is the most widely endorsed technology for assessing the risk of fracture or diagnosing osteoporosis before a fracture occurs, but others are available. In clinical practice, important distinctions are essential to optimise the use of risk assessments. Traditional tools lack specificity and were designed for populations to identify groups at higher risk using a 'one-size-fits-all' approach. Much has changed, though the purpose of risk assessment tools remains the same. In 2022, many tools are available to aid the identification of those most at risk, either likely to have osteoporosis or suffer the clinical consequence. Modern technology, enhanced imaging, proteomics, machine learning, artificial intelligence, and big data science will greatly advance a more personalised risk assessment into the future. Clinicians today need to understand not only which tool is most effective and efficient for use in their practice, but also which tool to use for which patient and for what purpose. A greater understanding of the process of risk assessment, deciding who should be screened, and how to assess fracture risk and prognosis in older men and women more comprehensively will greatly reduce the burden of osteoporosis for patients, society, and healthcare systems worldwide. In this paper, we review the current status of risk assessment, screening and best practice for osteoporosis, summarise areas of uncertainty, and make some suggestions for future developments, including a more personalised approach for individuals.
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Affiliation(s)
- John J Carey
- National University of Ireland Galway, 1007, Clinical Sciences Institute, Galway, H91 V4AY, Ireland.
| | - Paulo Chih-Hsing Wu
- Institute of Gerontology, College of Medicine, National Cheng Kung University, Taiwan; Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Director, Obesity/Osteoporosis Special Clinic, 138 Sheng-Li Road, Tainan, 70428, Taiwan
| | - Diane Bergin
- National University of Ireland Galway, 1007, Clinical Sciences Institute, Galway, H91 V4AY, Ireland; Galway University Hospitals, Ireland
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Wang M, Wu Y, Zhou Y, Dong J, Hu S, Hou P, Gao J. Application of Dual-Energy Spectral Computed Tomography in Bone Mineral Density Measurement: Phantom and Clinical Research. Int J Gen Med 2022; 15:6887-6896. [PMID: 36061965 PMCID: PMC9439073 DOI: 10.2147/ijgm.s381857] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 08/16/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Mingyue Wang
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Yan Wu
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Yue Zhou
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Junqiang Dong
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Shenshen Hu
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Ping Hou
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Jianbo Gao
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
- Correspondence: Jianbo Gao, Email
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Wanderman N, Glassman SD, Mkorombindo T, Dimar JR, Gum JL, Carreon LY. Evaluation of bone mineral density after instrumented lumbar fusion with computed tomography. Spine J 2022; 22:951-956. [PMID: 35189347 DOI: 10.1016/j.spinee.2022.02.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 01/07/2022] [Accepted: 02/14/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT Computed tomography (CT) measurement of Hounsfield Units (HU) has been described as a tool for assessing BMD. For surgeons considering a revision lumbar fusion, knowledge of the BMD of the UIV is of value for surgical planning. However, the presence of metal artifact from instrumentation presents a potential confounder, and prior studies have not validated measurements of HU in this setting. PURPOSE To determine if HU can be measured reliably at the supra-adjacent and upper instrumented levels of a lumbar fusion. STUDY DESIGN Retrospective observational cohort PATIENT SAMPLE: Consecutive series of patients who had lumbar CT scans after an instrumented posterior lumbar fusion. OUTCOME MEASURES Hounsfield Units at the upper instrumented vertebra and levels proximal. METHODS We analysed pre- and postoperative CT scans of 50 patients who underwent L2 and distal instrumented lumbar fusion whose scans were no greater than 1 year apart, obtaining HU measurements of analogous axial cuts at the upper instrumented level (immediately caudal to the halo of the pedicle screw), as well as additional control levels above the construct. RESULTS The HU at the pre-and postoperative UIV exhibited a strong correlation (r=0.917, p<.001), as did one (r=0.887, p<.001) and two (r=0.853, p<.001) levels above the UIV. There were significant but predictable reductions in the postoperative HU compared to preoperative at one (-9.0±26.2) and two (-12.2±30.2) levels above the UIV, as well as T12 (-13.9±42.2). There was no significant difference in HU at the UIV (4.6±34.1). CONCLUSIONS Postoperative HU at the UIV was strongly correlated with and not significantly different from the preoperative HU. Although the HU in the vertebrae proximal to the UIV were slightly lower postoperatively, this change was predictable using a correction factor.
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Affiliation(s)
- Nathan Wanderman
- Norton Leatherman Spine Center, 210 East Gray Street, Suite 900, Louisville, KY 40202, USA
| | - Steven D Glassman
- Norton Leatherman Spine Center, 210 East Gray Street, Suite 900, Louisville, KY 40202, USA; University of Louisville School of Medicine, 500 South Preston Street. Instructional Building, Room 305, Louisville, KY 40202, USA
| | - Tino Mkorombindo
- Norton Leatherman Spine Center, 210 East Gray Street, Suite 900, Louisville, KY 40202, USA; Department of Orthopaedic Surgery, University of Louisville School of Medicine, 550 S. Jackson Street, 1st Floor ACB, Louisville, Kentucky 40202, USA
| | - John R Dimar
- Norton Leatherman Spine Center, 210 East Gray Street, Suite 900, Louisville, KY 40202, USA; Department of Orthopaedic Surgery, University of Louisville School of Medicine, 550 S. Jackson Street, 1st Floor ACB, Louisville, Kentucky 40202, USA
| | - Jeffrey L Gum
- Norton Leatherman Spine Center, 210 East Gray Street, Suite 900, Louisville, KY 40202, USA; Department of Orthopaedic Surgery, University of Louisville School of Medicine, 550 S. Jackson Street, 1st Floor ACB, Louisville, Kentucky 40202, USA
| | - Leah Y Carreon
- Norton Leatherman Spine Center, 210 East Gray Street, Suite 900, Louisville, KY 40202, USA.
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Pinto EM, Neves JR, Teixeira A, Frada R, Atilano P, Oliveira F, Veigas T, Miranda A. Efficacy of Hounsfield Units Measured by Lumbar Computer Tomography on Bone Density Assessment: A Systematic Review. Spine (Phila Pa 1976) 2022; 47:702-710. [PMID: 34468433 DOI: 10.1097/brs.0000000000004211] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
STUDY DESIGN Systematic review. OBJECTIVE This work aimed to compare the Hounsfield units (HU) value obtained from computed tomography and the t score of dual-energy x-ray absorptiometry (DXA) in the prediction of the lumbar spine bone mineral density (BMD). SUMMARY OF BACKGROUND DATA Several reports have found a correlation between HU and BMD values based on DXA. Using HUs to infer bone quality has a thorough clinical relevance as it could triage patients at risk for osteoporotic and fragility fractures or modify surgical indications. METHODS A systematic review in Cochrane Library, Medline, Scopus and Web of Science was performed, using the following query: "hounsfield units" AND ("osteoporosis" OR "spine" OR "bone mineral density" OR "dual x-ray absorptiometry"). We included 18 cohort studies that compared HU value obtained from computed tomography and t score of DXA for predicting regional BMD. RESULTS A total of 18 studies were included, enrolling 5307 patients. The HU measurement was most frequently made at L1 (N = 3; 18.8%). The mean HU values differentiated based on BMD measured through DXA were reported in seven studies, with values from 54.7 to 130 for osteoporotic, 78.8 to 146 for osteopenic, and from 120.8 to 230 in normal patients. Eight studies identified thresholds for diagnosing osteoporosis through receiver-operating characteristic (ROC) curves, with values ranging from 0.66 to 0.96. Medium HU values reported as diagnostic of osteoporosis ranged between 110 and 150, after exclusion of the two papers presenting outlier values. We infer an HU interval value of 90.9 to 138.7 (95% CI, P < 0.001) for the diagnosis osteoporosis. CONCLUSIONS Present data evidence favorable results regarding the possibility of establishing a threshold value for osteoporosis diagnosis from CT measurements of HU. Prospective large-scale studies are needed to more robustly infer the possibility of quantifying BMD based on CT as a screening test and infer a prognostic value of the CT-based evaluation.Level of Evidence: 2.
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Affiliation(s)
- Eduardo Moreira Pinto
- Orthopedic and Traumatology Surgery, Spine Division, Entre Douro e Vouga Hospital Center, S.M.Feira, Portugal
| | - Joao Rocha Neves
- Consultant of Angiology and Vascular Surgery at Centro Hospitalar São João, Porto, Portugal;Biomedicine Department-Unit of Anatomy, Faculty of Medicine, University of Porto, Portugal
| | - Artur Teixeira
- Orthopedic and Traumatology Surgery, Spine Division, Entre Douro e Vouga Hospital Center, S.M.Feira, Portugal
| | - Ricardo Frada
- Orthopedic and Traumatology Surgery, Spine Division, Entre Douro e Vouga Hospital Center, S.M.Feira, Portugal
| | - Pedro Atilano
- Orthopedic and Traumatology Surgery, Spine Division, Entre Douro e Vouga Hospital Center, S.M.Feira, Portugal
| | - Filipa Oliveira
- Orthopedic and Traumatology Surgery, Spine Division, Entre Douro e Vouga Hospital Center, S.M.Feira, Portugal
| | - Tania Veigas
- Orthopedic and Traumatology Surgery, Spine Division, Entre Douro e Vouga Hospital Center, S.M.Feira, Portugal
| | - Antonio Miranda
- Orthopedic and Traumatology Surgery, Spine Division, Entre Douro e Vouga Hospital Center, S.M.Feira, Portugal
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Wagner PP, Roux JP, Chuzel Q, Szulc P, Bermond F, Duboeuf F, Chapurlat R, Follet H, Pialat JB. Dual-energy CT hybridation and kernel processing effects on the estimation of bone mineral mass and density: a calcination study on ex vivo human femur. Osteoporos Int 2022; 33:909-920. [PMID: 34837503 DOI: 10.1007/s00198-021-06210-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 10/14/2021] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Recent technological advances with dual-energy quantitative computed tomography (DEQCT) allow to combine two images of different level of energy to obtain simulated mono-energetic images at 60 keV (SIM60KeV-QCT) with improved image contrast in clinical practice. This study includes three topics: (1) compare bone mineral content (BMC), areal and volumetric bone mineral density (aBMD, vBMD) obtained with SIM60KeV-QCT, single-energy QCT (SEQCT), and dual X-ray absorptiometry (DXA); (2) compare ash density and weight with respective vBMD and BMC assessed on SIM60KeV-QCT, SEQCT, and DXA; and (3) compare the influence of reconstruction kernels on the accuracy of vBMD and BMC using ash density and ash weight as the reference values. METHODS DXA, SEQCT, and DEQCT acquisitions were performed ex vivo on 42 human femurs. Standard kernel (SK) and bone kernel (BK) were applied to each stack of images. Ten diaphyses and 10 femoral necks were cut, scanned, and reconstructed using the techniques described above. Finally, the bone specimens were calcined to obtain the ash weight. RESULTS QCT analysis (SEQCT, SIM60KeV-QCT) underestimated BMC value compared to DXA. For femoral necks, all QCT analyses provided an unbiased estimate of ash weight but underestimated ash density regardless of the kernel used. For femoral diaphysis, SEQCT BK, SIM60KeV-QCT BK, and SK underestimated ash weight but not ash density. CONCLUSION BMC and vBMD quantifications with the SIM60KeV-QCT gave similar results as the SEQCT. Further studies are needed to optimize the use of SIM60KeV-QCT in clinical situations. SK should be used given the effect of kernels on QCT assessment.
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Affiliation(s)
- Philippe Paul Wagner
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM, LYOS UMR1033, 69008, Lyon, France
| | - Jean-Paul Roux
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM, LYOS UMR1033, 69008, Lyon, France
| | - Quentin Chuzel
- Department of Radiology, Hospices Civils de Lyon, Hôpital Edouard Herriot, 69437, Lyon, France
| | - Pawel Szulc
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM, LYOS UMR1033, 69008, Lyon, France
| | - François Bermond
- Univ Lyon, Université Claude Bernard Lyon 1, Univ Gustave Eiffel, LBMC UMR_T 9406, Lyon, France
| | - François Duboeuf
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM, LYOS UMR1033, 69008, Lyon, France
| | - Roland Chapurlat
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM, LYOS UMR1033, 69008, Lyon, France
- Department of Rheumatology, Hospices Civils de Lyon, Hôpital Edouard Herriot, 69437, Lyon, France
| | - Hélène Follet
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM, LYOS UMR1033, 69008, Lyon, France
| | - Jean-Baptiste Pialat
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM, LYOS UMR1033, 69008, Lyon, France.
- Department of Radiology, Hospices Civils de Lyon, Hôpital Edouard Herriot, 69437, Lyon, France.
- Department of Radiology, Hospices Civils de Lyon, Service de Radiologie, Centre Hospitalier Lyon-Sud, 165 Chemin du Grand Revoyet 69310, Pierre-Bénite, France.
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Bartenschlager S, Dankerl P, Chaudry O, Uder M, Engelke K. BMD accuracy errors specific to phantomless calibration of CT scans of the lumbar spine. Bone 2022; 157:116304. [PMID: 34973497 DOI: 10.1016/j.bone.2021.116304] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/17/2021] [Accepted: 12/17/2021] [Indexed: 01/22/2023]
Abstract
Opportunistic screening using existing CT images may be a new strategy to identify subjects at increased risk for osteoporotic fracture. Low bone mineral density (BMD) is a key parameter but routine clinical CT scans do not include a calibration phantom to calculate BMD from the measured CT values. An alternative is internal or phantomless calibration, which is based on the CT values of air and of internal tissues of the subject such as blood, muscle or adipose tissue. However, the composition and as a consequence the CT values of these so-called internal calibration materials vary among subjects, which introduces additional BMD accuracy errors compared to phantom based calibration. The objective of this study was to quantify these accuracy errors and to identify optimum combinations of internal calibration materials (IM) for BMD assessments in opportunistic screening. Based on the base material decomposition theory we demonstrate how BMD can be derived from the CT values of the internal calibration materials. 121 CT datasets of the lumbar spine form postmenopausal women were used to determine the population variance of blood assessed in the aorta or the inferior vena cava, skeletal muscle of the erector spinae or psoas, subcutaneous adipose tissue (SAT) and air. The corresponding standard deviations were used for error propagation to determine phantomless calibration related BMD accuracy errors. Using a CT value of 150 HU, a typical value of trabecular bone, simulated BMD accuracy errors for most IM combinations containing air as one of the two base materials were below 5% or 6 mg/cm3. The lowest errors were determined for the combination of blood and air (<2 mg/cm3). The combination of blood and skeletal muscle resulted in higher errors (>10.5% or >12 mg/cm3) and is not recommended. Due to possible age-related differences in tissue composition, the selection of IMs is suggested to be adapted according to the measured subject. In younger subjects without significant aortic calcifications, air and blood of the aorta may be the best combination whereas in elderly subjects, air and SAT (error of 4%) may be preferable. The use of skeletal muscle as one of the two IMs is discouraged, in particular in elderly subjects because of varying fatty infiltration. A practical implementation of the internal calibration with different IM pairs confirmed the theoretical results. In summary, compared to a phantom based calibration the phantomless approach used for opportunistic screening creates additional BMD accuracy errors of 2% or more, dependent on the used internal reference tissues. The impact on fracture prediction still must be evaluated.
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Affiliation(s)
- Stefan Bartenschlager
- Department of Medicine 3, FAU University Erlangen-Nürnberg and Universitätsklinikum, Erlangen, Germany; Institute of Medical Physics, FAU University Erlangen-Nürnberg, Erlangen, Germany.
| | - Peter Dankerl
- Institute of Radiology, FAU University Erlangen-Nürnberg and Universitätsklinikum, Erlangen, Germany
| | - Oliver Chaudry
- Department of Medicine 3, FAU University Erlangen-Nürnberg and Universitätsklinikum, Erlangen, Germany; Institute of Medical Physics, FAU University Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Uder
- Institute of Radiology, FAU University Erlangen-Nürnberg and Universitätsklinikum, Erlangen, Germany
| | - Klaus Engelke
- Department of Medicine 3, FAU University Erlangen-Nürnberg and Universitätsklinikum, Erlangen, Germany; Institute of Medical Physics, FAU University Erlangen-Nürnberg, Erlangen, Germany; Bioclinica Inc, Hamburg, Germany
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Wu X, Zhang L, Bian T, Man S, Li H, Liu W, Zhou Y. The correlation between volumetric bone mineral density and morphological parameters of the proximal femur and clinical outcomes in ankylosing spondylitis patients with hip involvement. BMC Musculoskelet Disord 2022; 23:24. [PMID: 34980053 PMCID: PMC8725399 DOI: 10.1186/s12891-021-04912-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 11/24/2021] [Indexed: 11/23/2022] Open
Abstract
Background To measure volumetric bone mineral density (vBMD) with quantitative computed tomography (QCT) in the proximal femur of ankylosing spondylitis (AS) patients with hip involvement and analyze their correlations with radiographic and clinical parameters. Methods Sixty-five AS inpatients were enrolled in this study. The bone mineral density was measured by QCT and dual-energy x-ray absorptiometry (DXA), respectively. The morphological parameters of the proximal femur were measured on digital anteroposterior (AP) radiographs of the pelvis. The correlations between them were analyzed by SPSS software. Results The average trabecular vBMD measured at the femoral neck was 136.38 ± 25.58 mg/cm3. According to the BASRI-Hip score, group A consisted of 39 hips (0–2 score) and group B consisted of 26 hips (3–4 score). There were significant differences regarding trabecular CTXA equivalent T-score between group A and B at the femoral neck (p = 0.004); intertrochanteric region (p < 0.001) and greater trochanter (p = 0.001). The trabecular CTXA equivalent T-score at femoral neck had a negative correlation with disease duration (r = − 0.311, p = 0.012) and with CBR (r = − 0.319, p = 0.010). Conclusions The low trabecular bone density at the site of the hip was associated with the duration of disease progression and degree of hip involvement. Meanwhile, it had a correlation with hip function status although we failed to confirm a significant relationship between hip vBMD and disease activity.
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Affiliation(s)
- Xinfeng Wu
- Department of Spine Surgery, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, Beijing, 100035, China
| | - Liang Zhang
- Department of Orthopedic Surgery, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, Beijing, 100035, China
| | - Tao Bian
- Department of Orthopedic Surgery, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, Beijing, 100035, China
| | - Siliang Man
- Department of Rheumatology and Immunology, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, Beijing, 100035, China
| | - Hongchao Li
- Department of Rheumatology and Immunology, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, Beijing, 100035, China
| | - Wei Liu
- Department of Rheumatology and Immunology, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, Beijing, 100035, China
| | - Yixin Zhou
- Department of Orthopedic Surgery, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, No. 31 Xinjiekou East Street, Xicheng District, Beijing, 100035, China.
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Proposed diagnostic volumetric bone mineral density thresholds for osteoporosis and osteopenia at the cervicothoracic spine in correlation to the lumbar spine. Eur Radiol 2022; 32:6207-6214. [PMID: 35384459 PMCID: PMC9381469 DOI: 10.1007/s00330-022-08721-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/25/2022] [Accepted: 03/07/2022] [Indexed: 01/19/2023]
Abstract
OBJECTIVES To determine the correlation between cervicothoracic and lumbar volumetric bone mineral density (vBMD) in an average cohort of adults and to identify specific diagnostic thresholds for the cervicothoracic spine on the individual subject level. METHODS In this HIPPA-compliant study, we retrospectively included 260 patients (59.7 ± 18.3 years, 105 women), who received a contrast-enhanced or non-contrast-enhanced CT scan. vBMD was extracted using an automated pipeline ( https://anduin.bonescreen.de ). The association of vBMD between each vertebra spanning C2-T12 and the averaged values at the lumbar spine (L1-L3) was analyzed before and after semiquantitative assessment of fracture status and degeneration, and respective vertebra-specific cut-off values for osteoporosis were calculated using linear regression. RESULTS In both women and men, trabecular vBMD decreased with age in the cervical, thoracic, and lumbar regions. vBMD values of cervicothoracic vertebrae showed strong correlations with lumbar vertebrae (L1-L3), with a median Pearson value of r = 0.87 (range: rC2 = 0.76 to rT12 = 0.96). The correlation coefficients were significantly lower (p < 0.0001) without excluding fractured and degenerated vertebrae, median r = 0.82 (range: rC2 = 0.69 to rT12 = 0.93). Respective cut-off values for osteoporosis peaked at C4 (209.2 mg/ml) and decreased to 83.8 mg/ml at T12. CONCLUSION Our data show a high correlation between clinically used mean L1-L3 values and vBMD values elsewhere in the spine, independent of age. The proposed cut-off values for the cervicothoracic spine therefore may allow the determination of low bone mass even in clinical cases where only parts of the spine are imaged. KEY POINTS vBMD of all cervicothoracic vertebrae showed strong correlation with lumbar vertebrae (L1-L3), with a median Pearson's correlation coefficient of r = 0.87 (range: rC2 = 0.76 to rT12 = 0.96). The correlation coefficients were significantly lower (p < 0.0001) without excluding fractured and moderate to severely degenerated vertebrae, median r = 0.82 (range: rC2 = 0.69 to rT12 = 0.93). We postulate that trabecular vBMD < 200 mg/ml for the cervical spine and < 100 mg/ml for the thoracic spine are strong indicators of osteoporosis, similar to < 80 mg/ml at the lumbar spine.
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Brunnquell CL, Winsor C, Aaltonen HL, Telfer S. Sources of error in bone mineral density estimates from quantitative CT. Eur J Radiol 2021; 144:110001. [PMID: 34700093 DOI: 10.1016/j.ejrad.2021.110001] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/30/2021] [Accepted: 10/11/2021] [Indexed: 12/01/2022]
Abstract
Bone mineral density (BMD) estimates from quantitative computed tomography (QCT) have proven useful for opportunistic screening of osteoporosis, treatment monitoring, and bone strength measurement. These estimates are subject to bias and variance from a variety of sources related to the imaging equipment, methods applied in the estimation procedure, and the patients themselves. In this article, we review the literature to describe the sources and sizes of error in spine and hip BMD estimates from single-energy QCT that can result from factors related to the scanner, imaging techniques, imaging subject, calibration phantom, and calibration approach. We also describe the baseline variance that can be expected based on repeatability and reproducibility studies. Though reproducible BMD estimates may be achievable with QCT, a thorough understanding of the potential sources of error and their size relative to the diagnostic task is essential to their appropriate and meaningful interpretation.
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Affiliation(s)
| | - Carla Winsor
- Department of Mechanical Engineering, University of Wisconsin, Madison, WI, United States
| | - H Laura Aaltonen
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Scott Telfer
- Department of Orthopaedics and Sports Medicine, University of Washington. Seattle, WA, United States
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Koch V, Hokamp NG, Albrecht MH, Gruenewald LD, Yel I, Borggrefe J, Wesarg S, Eichler K, Burck I, Gruber-Rouh T, Lenga L, Vogl TJ, Martin SS, Wichmann JL, Hammerstingl RM, Alizadeh LS, Mader C, Huizinga NA, D'Angelo T, Ascenti G, Mazziotti S, Booz C. Accuracy and precision of volumetric bone mineral density assessment using dual-source dual-energy versus quantitative CT: a phantom study. Eur Radiol Exp 2021; 5:43. [PMID: 34608576 PMCID: PMC8490583 DOI: 10.1186/s41747-021-00241-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/26/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Dual-source dual-energy computed tomography (DECT) offers the potential for opportunistic osteoporosis screening by enabling phantomless bone mineral density (BMD) quantification. This study sought to assess the accuracy and precision of volumetric BMD measurement using dual-source DECT in comparison to quantitative CT (QCT). METHODS A validated spine phantom consisting of three lumbar vertebra equivalents with 50 (L1), 100 (L2), and 200 mg/cm3 (L3) calcium hydroxyapatite (HA) concentrations was scanned employing third-generation dual-source DECT and QCT. While BMD assessment based on QCT required an additional standardised bone density calibration phantom, the DECT technique operated by using a dedicated postprocessing software based on material decomposition without requiring calibration phantoms. Accuracy and precision of both modalities were compared by calculating measurement errors. In addition, correlation and agreement analyses were performed using Pearson correlation, linear regression, and Bland-Altman plots. RESULTS DECT-derived BMD values differed significantly from those obtained by QCT (p < 0.001) and were found to be closer to true HA concentrations. Relative measurement errors were significantly smaller for DECT in comparison to QCT (L1, 0.94% versus 9.68%; L2, 0.28% versus 5.74%; L3, 0.24% versus 3.67%, respectively). DECT demonstrated better BMD measurement repeatability compared to QCT (coefficient of variance < 4.29% for DECT, < 6.74% for QCT). Both methods correlated well to each other (r = 0.9993; 95% confidence interval 0.9984-0.9997; p < 0.001) and revealed substantial agreement in Bland-Altman plots. CONCLUSIONS Phantomless dual-source DECT-based BMD assessment of lumbar vertebra equivalents using material decomposition showed higher diagnostic accuracy compared to QCT.
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Affiliation(s)
- Vitali Koch
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Nils Große Hokamp
- Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany
| | - Moritz H Albrecht
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
| | - Leon D Gruenewald
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Ibrahim Yel
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Jan Borggrefe
- Department of Radiology, Neuroradiology and Nuclear Medicine, Minden Hospital, University of Kiel, Kiel, Germany
| | - Stefan Wesarg
- Cognitive Computing and Medical Imaging, Fraunhofer IGD, Darmstadt, Germany
| | - Katrin Eichler
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Iris Burck
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tatjana Gruber-Rouh
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Lukas Lenga
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Thomas J Vogl
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Simon S Martin
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Julian L Wichmann
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Renate M Hammerstingl
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Leona S Alizadeh
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Christoph Mader
- Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Nicole A Huizinga
- Interdisciplinary Center for Neuroscience, Goethe University of Frankfurt, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Giorgio Ascenti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Silvio Mazziotti
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Christian Booz
- Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
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Tse JJ, Smith ACJ, Kuczynski MT, Kaketsis DA, Manske SL. Advancements in Osteoporosis Imaging, Screening, and Study of Disease Etiology. Curr Osteoporos Rep 2021; 19:532-541. [PMID: 34292468 DOI: 10.1007/s11914-021-00699-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/03/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW The purpose of this review is to inform researchers and clinicians with the most recent imaging techniques that are employed (1) to opportunistically screen for osteoporosis and (2) to provide a better understanding into the disease etiology of osteoporosis. RECENT FINDINGS Phantomless calibration techniques for computed tomography (CT) may pave the way for better opportunistic osteoporosis screening and the retroactive analysis of imaging data. Additionally, hardware advances are enabling new applications of dual-energy CT and cone-beam CT to the study of bone. Advances in MRI sequences are also improving imaging evaluation of bone properties. Finally, the application of image registration techniques is enabling new uses of imaging to investigate soft tissue-bone interactions as well as bone turnover. While DXA remains the most prominent imaging tool for osteoporosis diagnosis, new imaging techniques are becoming more widely available and providing additional information to inform clinical decision-making.
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Affiliation(s)
- Justin J Tse
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Ainsley C J Smith
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Michael T Kuczynski
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Daphne A Kaketsis
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Sarah L Manske
- Department of Radiology, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada.
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada.
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Albano D, Agnollitto PM, Petrini M, Biacca A, Ulivieri FM, Sconfienza LM, Messina C. Operator-Related Errors and Pitfalls in Dual Energy X-Ray Absorptiometry: How to Recognize and Avoid Them. Acad Radiol 2021; 28:1272-1286. [PMID: 32839098 DOI: 10.1016/j.acra.2020.07.028] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 07/21/2020] [Accepted: 07/21/2020] [Indexed: 02/07/2023]
Abstract
Dual-energy X-ray absorptiometry (DXA) is the most common modality for quantitative measurements of bone mineral density. Nevertheless, errors related to this exam are still very common, and may significantly impact on the final diagnosis and therapy. Operator-related errors may occur during each DXA step and can be related to wrong patient positioning, error in the acquisition process or in the scan analysis. The aim of this review is to provide a practical guide on how to recognize such errors in spine and hip DXA scan and how to avoid them, also presenting some of the most common artifacts encountered in clinical practice.
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Affiliation(s)
- Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, Milano 20161, Italy; Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università degli Studi di Palermo, Via del Vespro 127, 90127 Palermo, Italy
| | - Paulo Moraes Agnollitto
- Radiology Division / CCIFM, Ribeirão Preto Medical School, Av. Bandeirantes 3900, Ribeirão Preto, SP, Brazil
| | - Marcello Petrini
- Department of Radiology, Ospedale Guglielmo da Saliceto, via Taverna 49, Piacenza 29121, Italy
| | - Andrea Biacca
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, Milano 20161, Italy
| | - Fabio Massimo Ulivieri
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, UO Medicina Nucleare, Milano, Italy
| | - Luca Maria Sconfienza
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, Milano 20161, Italy; Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano 20122, Italy
| | - Carmelo Messina
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, Milano 20161, Italy; Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano 20122, Italy.
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Prado M, Khosla S, Chaput C, Giambini H. Opportunistic application of phantom-less calibration methods for fracture risk prediction using QCT/FEA. Eur Radiol 2021; 31:9428-9435. [PMID: 34047849 DOI: 10.1007/s00330-021-08071-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/30/2021] [Accepted: 05/11/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Quantitative computed tomography (QCT)-based finite element analysis (FEA) implements a calibration phantom to estimate bone mineral density (BMD) and assign material properties to the models. The objectives of this study were to (1) propose robust phantom-less calibration methods, using subject-specific tissues, to obtain vertebral fracture properties estimations using QCT/FEA; and (2) correlate QCT/FEA predictions to DXA values of areal BMD. METHODS Eighty of a cohort of 111 clinical QCT scans were used to obtain subject-specific parameters using a phantom calibration approach and for the development of the phantom-less calibration equations. Equations were developed based on the HU measured from various soft tissues and regions, and using multiple linear regression analyses. Thirty-one additional QCT scans were used for cross-validation of QCT/FEA estimated fracture loads from the L3 vertebrae based on the phantom and phantom-less equations. Finally, QCT/FEA-predicted fracture loads were correlated with aBMD obtained from DXA. RESULTS Overall, 217 QCT/FEA models from 31 subjects (20 females, 11 men) with mean ages of 69.6 (13.1) and 67.3 (14) were used to cross-validate the phantom-less equations and assess bone strength. The proposed phantom-less equations showed high correlations with phantom-based estimates of BMD (99%). Cross-validation of QCT/FEA-predicted fracture loads from phantom-less equations and phantom-specific outcomes resulted in high correlations for all proposed methods (0.94-0.99). QCT/FEA correlation outcomes from the phantom-less equations and DXA-aBMD were moderately high (0.64-0.68). CONCLUSIONS The proposed QCT/FEA subject-specific phantom-less calibration methods demonstrated the potential to be applied to both prospective and retrospective applications in the clinical setting. KEY POINTS • QCT/FEA overcomes the disadvantages of DXA and improves fracture properties predictions of vertebrae. • QCT/FEA fracture estimates using the phantom-less approach highly correlated to values obtained using a calibration phantom. • QCT/FEA prediction using a phantom-less approach is an accurate alternative over phantom-based methods.
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Affiliation(s)
- Maria Prado
- Department of Biomedical Engineering and Chemical Engineering, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX, 78249, USA
| | - Sundeep Khosla
- Kogod Center on Aging and Division of Endocrinology, Mayo Clinic College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Christopher Chaput
- Department of Orthopedics, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Hugo Giambini
- Department of Biomedical Engineering and Chemical Engineering, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX, 78249, USA.
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Lee GW, Seo HY, Jung DM, Lee KB. Comparison of Preoperative Bone Density in Patients With and Without Periprosthetic Osteolysis Following Total Ankle Arthroplasty. Foot Ankle Int 2021; 42:575-581. [PMID: 33349052 DOI: 10.1177/1071100720976096] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Modern total ankle arthroplasty (TAA) prostheses are uncemented press-fit designs whose stability is dependent on bone ingrowth. Preoperative insufficient bone density reduces initial local stability at the bone-implant interface, and we hypothesized that this may play a role in periprosthetic osteolysis. We aimed to investigate the preoperative bone density of the distal tibia and talus and compare these in patients with and without osteolysis. METHODS We enrolled 209 patients (218 ankles) who underwent primary TAA using the HINTEGRA prosthesis. The overall mean follow-up duration was 66 (range, 24-161) months. The patients were allocated into 2 groups according to the presence of periprosthetic osteolysis: the osteolysis group (64 patients, 65 ankles) and nonosteolysis group (145 patients, 153 ankles). Between the 2 groups, we investigated and compared the radiographic outcomes, including the Hounsfield unit (HU) value around the ankle joint and the coronal plane alignment. RESULTS HU values of the tibia and talus measured at 5 mm from the reference points were higher than those at 10 mm in each group. However, comparing the osteolysis and nonosteolysis groups, we found no significant intergroup difference in HU value at every measured level in the tibia and talus (P > .05). Concerning the coronal plane alignment, there were no significant between-group differences in the tibiotalar and talar tilt angles (P > .05). CONCLUSION Patients with osteolysis showed similar preoperative bone density of the distal tibia and talus compared with patients without osteolysis. Our results suggest that low bone density around the ankle joint may not be associated with increased development of osteolysis. LEVEL OF EVIDENCE Level III, retrospective cohort study.
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Affiliation(s)
- Gun-Woo Lee
- Department of Orthopedic Surgery, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Hyoung-Yeon Seo
- Department of Orthopedic Surgery, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Dong-Min Jung
- Department of Orthopedic Surgery, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Keun-Bae Lee
- Department of Orthopedic Surgery, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
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Schousboe JT, Ensrud KE. Opportunistic Osteoporosis Screening Using Low-Dose Computed Tomography (LDCT): Promising Strategy, but Challenges Remain. J Bone Miner Res 2021; 36:425-426. [PMID: 33600607 DOI: 10.1002/jbmr.4266] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 12/29/2020] [Accepted: 01/12/2021] [Indexed: 12/24/2022]
Affiliation(s)
- John T Schousboe
- Park Nicollet Clinic and HealthPartners Institute, HealthPartners Inc., Bloomington, MN, USA.,Division of Health Policy and Management, University of Minnesota, Minneapolis, MN, USA
| | - Kristine E Ensrud
- Department of Medicine and Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.,Center for Care Delivery and Outcomes Research, VA Health Care System, Minneapolis, MN, USA
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Therkildsen J, Winther S, Nissen L, Jørgensen HS, Thygesen J, Ivarsen P, Frost L, Isaksen C, Langdahl BL, Hauge EM, Böttcher M. Sex Differences in the Association Between Bone Mineral Density and Coronary Artery Disease in Patients Referred for Cardiac Computed Tomography. J Clin Densitom 2021; 24:55-66. [PMID: 31668962 DOI: 10.1016/j.jocd.2019.09.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 09/18/2019] [Accepted: 09/18/2019] [Indexed: 12/13/2022]
Abstract
Atherosclerosis and osteoporosis are both common and preventable diseases. Evidence supports a link between coronary artery disease (CAD) and low bone mineral density (BMD). This study aimed to assess the association between thoracic spine BMD and CAD in men and women with symptoms suggestive of CAD. This cross-sectional study included 1487 (mean age 57 years (range 40-80), 47% men) patients referred for cardiac computed tomography (CT). Agatston coronary artery calcium score (CACS), CAD severity (no, mild, moderate, and severe), vessel involvement (no, 1-, 2-, and 3/left main disease), and invasive measurements were evaluated. BMD of three thoracic vertebrae was measured using quantitative CT. We used the American college of radiology cut-off values for lumbar spine BMD to categorize patients into very low (<80 mg/cm3), low (80-120 mg/cm3), or normal BMD (>120 mg/cm3). BMD as a continuous variable was included in the linear regression analyses to assess associations between CACS (CACS=0, CACS 1- 399, and CACS ≥ 400) and BMD, and CAD severity and BMD. Significant lower BMD was present with increasing CACS and stenosis degree unadjusted. Multivariate linear regression analyses in women revealed a significant correlation between BMD and CACS groups (β = -4.06, p<0.05), but no correlation between BMD and CAD severity (β = -1.59, p = 0.14). No association was found between BMD and CACS (β = -1.50, p = 0.36) and CAD severity (β = 0.07, p = 0.94) in men. BMD is significantly correlated to CACS after adjusting for confounders in women, but not in men, suggesting a possible sex difference in pathophysiology.
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Affiliation(s)
| | - Simon Winther
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Louise Nissen
- Department of Cardiology, Hospital Unit West, Herning, Denmark
| | | | - Jesper Thygesen
- Department of Clinical Engineering, Aarhus University Hospital, Aarhus, Denmark
| | - Per Ivarsen
- Department of Nephrology, Aarhus University Hospital, Aarhus, Denmark
| | - Lars Frost
- Department of Cardiology, Regional Hospital of Silkeborg, Silkeborg, Denmark
| | - Christin Isaksen
- Department of Radiology, Regional Hospital of Silkeborg, Silkeborg, Denmark
| | - Bente L Langdahl
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Ellen-Margrethe Hauge
- Departments of Rheumatology, Aarhus University Hospital, and Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Morten Böttcher
- Department of Cardiology, Hospital Unit West, Herning, Denmark
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40
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Besler BA, Michalski AS, Kuczynski MT, Abid A, Forkert ND, Boyd SK. Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets. Med Image Anal 2020; 67:101887. [PMID: 33181434 DOI: 10.1016/j.media.2020.101887] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 09/14/2020] [Accepted: 10/22/2020] [Indexed: 01/22/2023]
Abstract
Methods for reliable femur segmentation enable the execution of quality retrospective studies and building of robust screening tools for bone and joint disease. An enhance-and-segment pipeline is proposed for proximal femur segmentation from computed tomography datasets. The filter is based on a scale-space model of cortical bone with properties including edge localization, invariance to density calibration, rotation invariance, and stability to noise. The filter is integrated with a graph cut segmentation technique guided through user provided sparse labels for rapid segmentation. Analysis is performed on 20 independent femurs. Rater proximal femur segmentation agreement was 0.21 mm (average surface distance), 0.98 (Dice similarity coefficient), and 2.34 mm (Hausdorff distance). Manual segmentation added considerable variability to measured failure load and volume (CVRMS > 5%) but not density. The proposed algorithm considerably improved inter-rater reproducibility for all three outcomes (CVRMS < 0.5%). The algorithm localized the periosteal surface accurately compared to manual segmentation but with a slight bias towards a smaller volume. Hessian-based filtering and graph cut segmentation localizes the periosteal surface of the proximal femur with comparable accuracy and improved precision compared to manual segmentation.
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Affiliation(s)
- Bryce A Besler
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada; Department of Radiology, University of Calgary, Calgary, Canada
| | - Andrew S Michalski
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada; Department of Radiology, University of Calgary, Calgary, Canada
| | - Michael T Kuczynski
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada; Department of Radiology, University of Calgary, Calgary, Canada
| | - Aleena Abid
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada; Department of Radiology, University of Calgary, Calgary, Canada
| | - Nils D Forkert
- Department of Radiology, University of Calgary, Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Steven K Boyd
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada; Department of Radiology, University of Calgary, Calgary, Canada.
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Mettawi AS, Soliman SS, Taha ME. Clinician's guide for the management and research of osteoporosis in North African men: a guidelines comparison, a cost-effectiveness analysis, and a local algorithm. Arch Osteoporos 2020; 15:159. [PMID: 33037516 DOI: 10.1007/s11657-020-00830-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 09/28/2020] [Indexed: 02/03/2023]
Abstract
UNLABELLED A local management algorithm and practice recommendations for the management of osteoporosis in Egyptian males were developed after assessing the applicability of current international recommendations and the cost effectiveness of local drugs. A systematic review and sensitivity analyses augmented the quality of the research efforts. PURPOSE Osteoporosis affects both men and women; however, no local recommendations for the condition are available for the male population. Therefore, this study was undertaken to produce recommendations for men based on the applicability of current international recommendations and the cost effectiveness of local drugs. METHODS The International Osteoporosis Foundation website, EMBASE, and SUMSEARCH-2 databases were searched to identify all guidelines that included recommendations for males. Regional and international guidelines were then appraised using the Advancing Guideline Development, Reporting, and Evaluation in Healthcare-II tool. A cost-effectiveness analysis was conducted using the perspective of an uninsured patient, international outcomes, and local costs. Recommendations were then formulated using the Grading of Recommendations Assessment, Development and Evaluation guidelines, and symbolic representations. RESULTS Twenty-six guidelines were found. Only one of the guidelines focused entirely on males, with the remainder making inferences based on recommendations for females. Six regional guidelines were mainly of low quality. Alendronate was considered to be the most cost-effective drug, while teriparatide was found to be unaffordable. CONCLUSION Recommendations for men with osteoporosis are based on that of women, and the topic lacks exploration in the Middle East. International recommendations and other guidelines were evaluated and adopted to create guidance for the management of osteoporosis in men for application in Egypt.
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Affiliation(s)
- Ahmed S Mettawi
- Faculty of life sciences and education (FLSE), University of South Wales (USW), Llantwit Rd, Pontypridd, CF37 1DL, UK.
| | - Saeed S Soliman
- Department of Family Medicine, Kasralainy School of Medicine, Cairo University, Cairo, Egypt
| | - Mohy E Taha
- Department of Orthopaedics and Trauma Surgery, Basel University Hospital, Basel, Switzerland
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Cheng X, Yuan H, Cheng J, Weng X, Xu H, Gao J, Huang M, Wáng YXJ, Wu Y, Xu W, Liu L, Liu H, Huang C, Jin Z, Tian W. Chinese expert consensus on the diagnosis of osteoporosis by imaging and bone mineral density. Quant Imaging Med Surg 2020; 10:2066-2077. [PMID: 33014734 DOI: 10.21037/qims-2020-16] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
With an aging society, osteoporosis is one of the most common diseases threatening the health of China's elderly population and is an issue that is raising increasing concern. Osteoporosis is characterized by bone loss and increased susceptibility to fragility fractures. Various imaging modalities such as X-ray, CT, MRI and nuclear medicine along with assessment of bone mineral density (BMD) play an important role in its diagnosis and management, and the treatment requires multidisciplinary teamwork. A lack of consensus in the approach to imaging and BMD measurement is hampering the quality of service and patient care in China. Therefore a panel of Chinese experts from the fields of radiology, orthopedics, endocrinology and nuclear medicine reviewed the international guidelines, consensus and literature with the most recent data from China and, taking account of current clinical practice in China, the panel reached this consensus to help guide the diagnosis of osteoporosis using imaging and BMD. This consensus report provides guidelines and standards for the imaging and BMD assessment of osteoporosis and criteria for the diagnosis of osteoporosis in China.
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Affiliation(s)
- Xiaoguang Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Huishu Yuan
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Jingliang Cheng
- Department of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xisheng Weng
- Department of Orthopedics, Peking Union Medical College Hospital, Beijing, China
| | - Hao Xu
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Jianbo Gao
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mingqian Huang
- Department of Radiology, Mount Sinai Hospital, New York, USA
| | - Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yan Wu
- Department of Radiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wenjian Xu
- Department of Radiology, The Affiliated hospital of Qingdao University, Qingdao, China
| | - Li Liu
- Forensic Medical Examination Center of Beijing Public Security Bureau, Beijing, China
| | - Hua Liu
- Forensic Medical Examination Center of Beijing Public Security Bureau, Beijing, China
| | - Chen Huang
- Department of orthopedics, Yantaishan Hospital, Yantai, China
| | - Zhengyu Jin
- Department of Radiology, Peking Union Medical College Hospital, Beijing, China
| | - Wei Tian
- Department of Spine Surgery, Beijing Jishuitan Hospital, Beijing, China
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Shirley M, Wanderman N, Keaveny T, Anderson P, Freedman BA. Opportunistic Computed Tomography and Spine Surgery: A Narrative Review. Global Spine J 2020; 10:919-928. [PMID: 32905730 PMCID: PMC7485075 DOI: 10.1177/2192568219889362] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
STUDY DESIGN Narrative review. OBJECTIVE This article seeks to provide a narrative review regarding the ability of opportunistic information available from computed tomography (CT) scans to guide decisions in spine surgery related to patient bone quality. METHODS A review of the literature (limited to human and English language) was performed via PubMed and Google Scholar using the search terms; "osteoporosis" AND "opportunistic" AND "computed tomography" AND "spine surgery." The titles and then abstracts of all identified citations were reviewed for inclusion by 2 of the authors (MS, BAF). Relevant articles were then studied in full text. RESULTS A review of the literature found 25 articles that were selected for inclusion in this narrative review. These articles were broadly divided into 4 subcategories: (1) opportunistic CT (oCT) and osteoporosis detection, (2) oCT data and the quality of screw fixation, (3) utilization of Hounsfield units to assess clinical and/or radiographic outcomes following spine fusion, and (4) virtual stress testing in spine surgery. CONCLUSION The literature on oCT, as well as associated virtual stress-testing techniques, demonstrate the potential to enhance spine surgery outcomes by preoperatively identifying at-risk patients in need of bone health optimization and informing best techniques for performing spinal fusion surgery on patients with diminished bone quality. While our narrative summary of the limited literature to date suggests a promising future for oCT data, significant additional research and/or radiographic workflow standardization is needed to validate these methods for clinical use.
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Affiliation(s)
| | | | - Tony Keaveny
- University of California at Berkeley, Berkeley, CA, USA
| | | | - Brett A. Freedman
- Mayo Clinic, Rochester, MN, USA,Brett A. Freedman, Department of Orthopedics, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905, USA.
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Benca E, Amini M, Pahr DH. Effect of CT imaging on the accuracy of the finite element modelling in bone. Eur Radiol Exp 2020; 4:51. [PMID: 32869123 PMCID: PMC7458968 DOI: 10.1186/s41747-020-00180-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 07/15/2020] [Indexed: 12/19/2022] Open
Abstract
The finite element (FE) analysis is a highly promising tool to simulate the behaviour of bone. Skeletal FE models in clinical routine rely on the information about the geometry and bone mineral density distribution from quantitative computed tomography (CT) imaging systems. Several parameters in CT imaging have been reported to affect the accuracy of FE models. FE models of bone are exclusively developed in vitro under scanning conditions deviating from the clinical setting, resulting in variability of FE results (< 10%). Slice thickness and field of view had little effect on FE predicted bone behaviour (≤ 4%), while the reconstruction kernels showed to have a larger effect (≤ 20%). Due to large interscanner variations (≤ 20%), the translation from an experimental model into clinical reality is a critical step. Those variations are assumed to be mostly caused by different “black box” reconstruction kernels and the varying frequency of higher density voxels, representing cortical bone. Considering the low number of studies together with the significant effect of CT imaging on the finite element model outcome leading to high variability in the predicted behaviour, we propose further systematic research and validation studies, ideally preceding multicentre and longitudinal studies.
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Affiliation(s)
- Emir Benca
- Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
| | - Morteza Amini
- Institute of Lightweight Design and Structural Biomechanics, TU Wien, Getreidemarkt 9, 1060, Vienna, Austria.,Division Biomechanics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria
| | - Dieter H Pahr
- Institute of Lightweight Design and Structural Biomechanics, TU Wien, Getreidemarkt 9, 1060, Vienna, Austria.,Division Biomechanics, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria
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45
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Carlson BB, Salzmann SN, Shirahata T, Ortiz Miller C, Carrino JA, Yang J, Reisener MJ, Sama AA, Cammisa FP, Girardi FP, Hughes AP. Prevalence of osteoporosis and osteopenia diagnosed using quantitative CT in 296 consecutive lumbar fusion patients. Neurosurg Focus 2020; 49:E5. [PMID: 32738803 DOI: 10.3171/2020.5.focus20241] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 05/13/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Osteoporosis is a metabolic bone disease that increases the risk for fragility fractures. Screening and diagnosis can be achieved by measuring bone mineral density (BMD) using quantitative CT tomography (QCT) in the lumbar spine. QCT-derived BMD measurements can be used to diagnose osteopenia or osteoporosis based on American College of Radiology (ACR) thresholds. Many reports exist regarding the disease prevalence in asymptomatic and disease-specific populations; however, osteoporosis/osteopenia prevalence rates in lumbar spine fusion patients without fracture have not been reported. The purpose of this study was to define osteoporosis and osteopenia prevalence in lumbar fusion patients using QCT. METHODS A retrospective review of prospective data was performed. All patients undergoing lumbar fusion surgery who had preoperative fine-cut CT scans were eligible. QCT-derived BMD measurements were performed at L1 and L2. The L1-2 average BMD was used to classify patients as having normal findings, osteopenia, or osteoporosis based on ACR criteria. Disease prevalence was calculated. Subgroup analyses based on age, sex, ethnicity, and history of abnormal BMD were performed. Differences between categorical groups were calculated with Fisher's exact test. RESULTS Overall, 296 consecutive patients (55.4% female) were studied. The mean age was 63 years (range 21-89 years). There were 248 (83.8%) patients with ages ≥ 50 years. No previous clinical history of abnormal BMD was seen in 212 (71.6%) patients. Osteopenia was present in 129 (43.6%) patients and osteoporosis in 44 (14.9%). There were no prevalence differences between sex or race. Patients ≥ 50 years of age had a significantly higher frequency of osteopenia/osteoporosis than those who were < 50 years of age. CONCLUSIONS In 296 consecutive patients undergoing lumbar fusion surgery, the prevalence of osteoporosis was 14.9% and that for osteopenia was 43.6% diagnosed by QCT. This is the first report of osteoporosis disease prevalence in lumbar fusion patients without vertebral fragility fractures diagnosed by QCT.
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Affiliation(s)
- Brandon B Carlson
- 1Marc A. Asher, MD, Comprehensive Spine Center, University of Kansas Medical Center, Kansas City, Kansas
| | | | | | | | - John A Carrino
- 3Department of Radiology and Imaging, Hospital for Special Surgery, New York; and
| | - Jingyan Yang
- 2Spine Care Institute and.,4Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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CT Phantom Evaluation of 67,392 American College of Radiology Accreditation Examinations: Implications for Opportunistic Screening of Osteoporosis Using CT. AJR Am J Roentgenol 2020; 216:447-452. [PMID: 32755177 DOI: 10.2214/ajr.20.22943] [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] [Indexed: 12/17/2022]
Abstract
OBJECTIVE. The purpose of this study was to investigate whether systematic bias in attenuation measurements occurs among CT scanners made by four major manufacturers and the relevance of this bias regarding opportunistic screening for osteoporosis. MATERIALS AND METHODS. Data on attenuation measurement accuracy were acquired using the American College of Radiology (ACR) accreditation phantom and were evaluated in a blinded fashion for four CT manufacturers (8500 accreditation submissions for manufacturer A; 18,575 for manufacturer B; 8278 for manufacturer C; and 32,039 for manufacturer D). The attenuation value for water, acrylic (surrogate for trabecular bone), and Teflon (surrogate for cortical bone; Chemours) materials for an adult abdominal CT technique (120 kV, 240 mA, standard reconstruction algorithm) was used in the analysis. Differences in attenuation value across all manufacturers were assessed using the Kruskal-Wallis test followed by a post hoc test for pairwise comparisons. RESULTS. The mean attenuation value for water ranged from -0.3 to 2.7 HU, with highly significant differences among all manufacturers (p < 0.001). For the trabecular bone surrogate, differences in attenuation values across all manufacturers were also highly significant (p < 0.001), with mean values of 120.9 (SD, 3.5), 124.6 (3.3), 126.9 (4.4), and 123.9 (3.4) HU for manufacturers A, B, C, and D, respectively. For the cortical bone surrogate, differences in attenuation values across all manufacturers were also highly significant (p < 0.001), with mean values of 939.0 (14.2), 874.3 (13.3), 897.6 (11.3), and 912.7 (13.4) HU for manufacturers A, B, C, and D, respectively. CONCLUSION. CT scanners made by different manufacturers show systematic offsets in attenuation measurement when compared with each other. Knowledge of these off-sets is useful for optimizing the accuracy of opportunistic diagnosis of osteoporosis.
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47
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Dubourg O, Faruch-Bilfeld M, Telmon N, Savall F, Saint-Martin P. Technical note: age estimation by using pubic bone densitometry according to a twofold mode of CT measurement. Int J Legal Med 2020; 134:2275-2281. [PMID: 32572613 DOI: 10.1007/s00414-020-02349-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 06/15/2020] [Indexed: 12/14/2022]
Abstract
In forensic anthropology, age estimation is a major element in the determination of a biological profile and the identification of individuals. Thus, many anatomical structures have been studied, such as the pubic symphysis, which is a source of major interest due to its late maturation. One of the most well-known methods of assessment is the Suchey-Brooks (SB) system based on the morphological characteristics of the pubic symphysis. The aim of this study was to propose linear regression formulae in order to deduce chronological age from bone density, using both Hounsfield unit (HU), and mean bone density (mBD) values of the pubic symphysis. Moreover, we intended to test the reliability and then to explore the feasibility of using HU instead of mBD values for age estimation. We built retrospectively a reference sample of 400 pubic symphyses using computed tomography at a French hospital and a test sample of 120 pubic symphyses. Equations were created to establish linear regression models for age estimation. Inaccuracy and bias were calculated for individuals aged more or less than 40 years. We highlighted homogeneous mean absolute errors for both HU and mBD values, most of them being less than 10 years. Moreover, we reported a moderate overestimation for younger individuals and a very small underestimation for older individuals. This study proposes a correlation between the bone density and age of individuals with a valuable level of reliability. Finally, HU measurements seem to be suitable for linking bone density with the age of individuals in forensic practice.
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Affiliation(s)
- Olivier Dubourg
- Laboratoire d'Anthropologie Moléculaire et d'Imagerie de Synthèse, Université Toulouse III, AMIS FRE 2960 CNRS, 37 allées Jules Guesde, 31000, Toulouse, France. .,UNAM, Service de Médecine Légale, Centre Hospitalier Universitaire, 4 rue Larrey, 49933, Angers Cedex 9, France.
| | - Marie Faruch-Bilfeld
- Laboratoire d'Anthropologie Moléculaire et d'Imagerie de Synthèse, Université Toulouse III, AMIS FRE 2960 CNRS, 37 allées Jules Guesde, 31000, Toulouse, France.,Institut de l'appareil locomoteur, Centre Hospitalier Universitaire de Toulouse, Purpan, Bâtiment Pierre Paul Riquet, place du Dr Baylac, TSA, 40031, 31059, Toulouse Cedex 9, France
| | - Norbert Telmon
- Laboratoire d'Anthropologie Moléculaire et d'Imagerie de Synthèse, Université Toulouse III, AMIS FRE 2960 CNRS, 37 allées Jules Guesde, 31000, Toulouse, France.,Service de Médecine Légale, Centre Hospitalier Universitaire, Rangueil, 1 avenue du Professeur Jean Poulhès, 31059, Toulouse Cedex 9, France
| | - Frédéric Savall
- Laboratoire d'Anthropologie Moléculaire et d'Imagerie de Synthèse, Université Toulouse III, AMIS FRE 2960 CNRS, 37 allées Jules Guesde, 31000, Toulouse, France.,Service de Médecine Légale, Centre Hospitalier Universitaire, Rangueil, 1 avenue du Professeur Jean Poulhès, 31059, Toulouse Cedex 9, France
| | - Pauline Saint-Martin
- Laboratoire d'Anthropologie Moléculaire et d'Imagerie de Synthèse, Université Toulouse III, AMIS FRE 2960 CNRS, 37 allées Jules Guesde, 31000, Toulouse, France.,Institut Médico-Légal, Centre Hospitalier Régional Universitaire, 37044, Tours Cedex 9, France
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Campillo-Sánchez F, Usategui-Martín R, Ruiz -de Temiño Á, Gil J, Ruiz-Mambrilla M, Fernández-Gómez JM, Dueñas-Laita A, Pérez-Castrillón JL. Relationship between Insulin Resistance (HOMA-IR), Trabecular Bone Score (TBS), and Three-Dimensional Dual-Energy X-ray Absorptiometry (3D-DXA) in Non-Diabetic Postmenopausal Women. J Clin Med 2020; 9:jcm9061732. [PMID: 32503328 PMCID: PMC7355807 DOI: 10.3390/jcm9061732] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 05/16/2020] [Accepted: 05/29/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Insulin may play a key role in bone metabolism, where the anabolic effect predominates. This study aims to analyze the relationship between insulin resistance and bone quality using the trabecular bone score (TBS) and three-dimensional dual-energy X-ray absorptiometry (3D-DXA) in non-diabetic postmenopausal women by determining cortical and trabecular compartments. METHODS A cross-sectional study was conducted in non-diabetic postmenopausal women with suspected or diagnosed osteoporosis. The inclusion criteria were no menstruation for more than 12 months and low bone mass or osteoporosis as defined by DXA. Glucose was calculated using a Hitachi 917 auto-analyzer. Insulin was determined using an enzyme-linked immunosorbent assay (EIA). Insulin resistance was estimated using a homeostasis model assessment of insulin resistance (HOMA-IR). DXA, 3D-DXA, and TBS were thus collected. Moreover, we examined bone parameters according to quartile of insulin, hemoglobin A1C (HbA1c), and HOMA-IR. RESULTS In this study, we included 381 postmenopausal women. Women located in quartile 4 (Q4) of HOMA-IR had higher values of volumetric bone mineral density (vBMD) but not TBS. The increase was higher in the trabecular compartment (16.4%) than in the cortical compartment (6.4%). Similar results were obtained for insulin. Analysis of the quartiles by HbA1c showed no differences in densitometry values, however women in Q4 had lower levels of TBS. After adjusting for BMI, statistical significance was maintained for TBS, insulin, HOMA-IR, and HbA1c. CONCLUSIONS In non-diabetic postmenopausal women there was a direct relationship between insulin resistance and vBMD, whose effect is directly related to greater weight. TBS had an inverse relationship with HbA1c, insulin, and insulin resistance unrelated to weight. This might be explained by the formation of advanced glycosylation products (AGEs) in the bone matrix, which reduces bone deformation capacity and resistance, as well as increases fragility.
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Affiliation(s)
| | - Ricardo Usategui-Martín
- IOBA, University of Valladolid, 47011 Valladolid, Spain
- Correspondence: (R.U.-M.); (J.L.P.-C.); Tel./Fax: +34-98-342-3184 (R.U.-M. & J.L.P.-C.)
| | - Ángela Ruiz -de Temiño
- Department Medicine, University of Valladolid, 47005 Valladolid, Spain; (Á.R.-d.T.); (M.R.-M.); (A.D.-L.)
| | - Judith Gil
- Hospital Nuestra Señora de Sonsoles, 05004 Avila, Spain;
| | - Marta Ruiz-Mambrilla
- Department Medicine, University of Valladolid, 47005 Valladolid, Spain; (Á.R.-d.T.); (M.R.-M.); (A.D.-L.)
| | | | - Antonio Dueñas-Laita
- Department Medicine, University of Valladolid, 47005 Valladolid, Spain; (Á.R.-d.T.); (M.R.-M.); (A.D.-L.)
- Department of Medicine, University of Valladolid Service of Clinical Toxicology, Río Hortega University Hospital, 47012 Valladolid, Spain
| | - José Luis Pérez-Castrillón
- Department Medicine, University of Valladolid, 47005 Valladolid, Spain; (Á.R.-d.T.); (M.R.-M.); (A.D.-L.)
- Department of Internal Medicine, Department of Medicine, University of Valladolid, Río Hortega University Hospital, 47012 Valladolid, Spain
- Correspondence: (R.U.-M.); (J.L.P.-C.); Tel./Fax: +34-98-342-3184 (R.U.-M. & J.L.P.-C.)
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Michalski AS, Besler BA, Michalak GJ, Boyd SK. CT-based internal density calibration for opportunistic skeletal assessment using abdominal CT scans. Med Eng Phys 2020; 78:55-63. [DOI: 10.1016/j.medengphy.2020.01.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 01/16/2020] [Accepted: 01/26/2020] [Indexed: 01/22/2023]
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50
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Zou D, Ye K, Tian Y, Li W, Zhou F, Zhang Z, Lu Z, Xu Z. Characteristics of vertebral CT Hounsfield units in elderly patients with acute vertebral fragility fractures. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2020; 29:1092-1097. [PMID: 32157387 DOI: 10.1007/s00586-020-06363-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Revised: 02/25/2020] [Accepted: 03/03/2020] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To explore the characteristics of vertebral CT Hounsfield units (HU) in elderly patients with acute vertebral fragility fractures. METHODS A total of 299 patients aged ≥ 65 years with acute vertebral fragility fractures were retrospectively reviewed, and 77 patients of them were age- and sex-matched with 77 control patients without any fractures. The vertebral HU value of L1(L1-HU) was measured, and T12 and L2 were used as alternatives for L1 in the case of L1 fracture. RESULTS There were 460 thoracic and lumbar vertebral fractures in the 299 elderly patients, including 349 acute vertebral fragility fractures and 111 chronic fractures. The average L1-HU value was 66.0 ± 30.6 HU and showed significant difference among patients having different numbers of vertebral fractures (one fracture: 73.3 ± 27.0 HU, two fractures: 58.7 ± 32.5 HU, three or more fractures: 40.7 ± 28.8 HU; P < 0.001). As for the 1:1 age- and sex-matched patients, the L1-HU of the 77 patients with fractures was lower than that of the control patients (70.6 ± 23.4 HU vs. 101.5 ± 36.2 HU, P < 0.001). The area under the receiver operating characteristic curve of using L1-HU to differentiate patients with fractures from controls was 0.77(95% CI 0.70-0.85, P < 0.001). The cutoff value had high specificity of 90% or high sensitivity of 90% to identify patients with fractures of 60 HU and 100 HU, respectively. CONCLUSIONS The elderly patients with acute vertebral fragility fractures have much lower HU values than those without fractures. Moreover, the lower the vertebral HU value is, the more likely the patients have more than one vertebral fracture. These slides can be retrieved under Electronic Supplementary Material.
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Affiliation(s)
- Da Zou
- Orthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Kaifeng Ye
- Orthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Yun Tian
- Orthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China.
| | - Weishi Li
- Orthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China.
| | - Fang Zhou
- Orthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Zhishan Zhang
- Orthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Zhengyang Lu
- Orthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Zhongning Xu
- Orthopaedic Department, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China
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