Bone Density at the Entry Point Correlates With the Trabecular Bone of the Thoracolumbar Vertebral Bodies – Quantitative Computed Tomography Study

2019 ◽  
Vol 22 (3) ◽  
pp. 367-373
Author(s):  
Wojciech M. Glinkowski ◽  
Jerzy Narloch
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Trabecular Bone ◽  
Quantitative Computed Tomography ◽  
Entry Point ◽  
Vertebral Bodies

scholarly journals Limitations of Peripheral Quantitative Computed Tomography Metaphyseal Bone Density Measurements

2007 ◽  
Vol 92 (11) ◽  
pp. 4248-4253 ◽  
Author(s):  
David C. Lee ◽  
Vicente Gilsanz ◽  
Tishya A. L. Wren
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Trabecular Bone ◽  
Cancellous Bone ◽  
Quantitative Computed Tomography ◽  
Peripheral Quantitative Computed Tomography ◽  
Appendicular Skeleton ◽  
Trabecular Bone Density ◽  
Density Measurements ◽  
Single Slice

Abstract Context: Peripheral quantitative computed tomography (pQCT) measurements are frequently obtained to assess cancellous bone density in the appendicular skeleton. Large variations in bone morphology associated with skeletal development may limit the interpretation of pediatric pQCT studies based on a single slice. Objective: The objective of the study was to characterize the variability in trabecular bone density values along the length of the metaphysis. Design: The design was an analysis of pQCT bone density data. Setting: The study was conducted at a hospital radiology department. Patients: The study included 35 children with cerebral palsy aged 6–12 yr. Main Outcome Measure: Variations in cancellous bone density along the length of the proximal tibial metaphysis were measured. Results: The patterns of decay in metaphyseal trabecular bone density were different in all subjects, and the density changed from the physis to the shaft at a rate of 16.8 ± 8.2% per 1 mm (range 8.6–37.9% per 1 mm). The slopes of the density curve drastically changed in some children over a short period of 6 months. Even with a high correlation (r2 = 0.88) between the density of a slice located a fixed distance from the growth plate and the overall mean metaphysis density, the respective changes in density over 6 months were only moderately correlated (r2 = 0.58). Conclusions: These results underscore the difficulty in interpreting metaphyseal pQCT bone density measurements from a single slice and highlight the need for developing pQCT acquisition techniques that provide more representative bone density determinations in the appendicular skeleton of children.

scholarly journals Correlation of quantitative computed tomography derived bone density values with Hounsfield units of a contrast medium computed tomography in 98 thoraco-lumbar vertebral bodies

2021 ◽  
Author(s):  
Fabian Buenger ◽  
Yasser Sakr ◽  
Niklas Eckardt ◽  
Christian Senft ◽  
Falko Schwarz
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Contrast Medium ◽  
Quantitative Computed Tomography ◽  
Hounsfield Units ◽  
Density Reduction ◽  
Retrospective Data Analysis ◽  
Density Values ◽  
Vertebral Bodies ◽  
Good Agreement

Abstract Introduction Vertebral fractures in patients with bone density reduction are often a major challenge for the surgeon, as reduced bone density can lead to screw loosening. Several options are available to determine bone density preoperatively. In our study, we investigated the correlation of Hounsfield units (HU) of a contrast medium computed tomography (CT) to the bone density values of a quantitative computed tomography (QCT) and computed a formula to estimate bone density values using HU. Materials and methods In our retrospective data analysis, we examine 98 vertebral bodies from 35 patients who received a contrast medium CT of the spine and a QCT, performed no longer than 1 month apart. The determined HU from the contrast medium CT were compared with the bone density values of the QCT and examined for correlations. Linear logistic regression was used to estimate bone density values base on HU. Results A strong correlation was found between the HU measured in the CT and the bone density values (r = 0.894, p < 0.001), irrespective of patients’ gender. We also found no correlation differences when the HU were measured at different levels. Bland–Altman plot demonstrated good agreement between the two measurements. The following formula was developed to estimate bone density values using HU: QCT-value = 0.71 × HU + 13.82. Conclusions Bone density values correlate well to HU measured in contrast medium CT. Using simple formula, the bone density of a contrast medium CT of vertebral bodies can be estimated based on HU without additional examinations and unnecessary costs.

scholarly journals Material properties of human vertebral trabecular bone under compression can be predicted based on quantitative computed tomography

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Dominic Gehweiler ◽  
Marius Schultz ◽  
Martin Schulze ◽  
Oliver Riesenbeck ◽  
Dirk Wähnert ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Trabecular Bone ◽  
Vertebral Body ◽  
Cancellous Bone ◽  
Material Properties ◽  
Quantitative Computed Tomography ◽  
Fracture Site ◽  
Regression Analyses ◽  
Physiological Conditions

Abstract Background The prediction of the stability of bones is becoming increasingly important. Especially osteoporotic vertebral body fractures are a growing problem and an increasing burden on the health system. Therefore, the aim of this study was to provide the best possible description of the relationship between the material properties of human vertebral trabecular bone measured under the most physiological conditions possible and the bone mineral density (BMD) determined by clinical quantitative computed tomography (QCT). Methods Forty eight cylindric cancellous bone samples with a diameter of 7.2 mm obtained from 13 human fresh-frozen lumbar vertebrae from 5 donors (3 men, 2 women) have been used for this study. After the specimens were temporarily reinserted into the vertebral body, the QCT was performed. For mechanical testing, the samples were embedded in a load-free manner using polymethylmetacrylate (PMMA). The surrounding test chamber was filled with phosphate buffered saline (PBS) and heated to 37 °C during the test. After 10 preconditioning load cycles, destructive testing was performed under axial compression. After determining the fracture site, BMD has been evaluated in this region only. Regression analyses have been performed. Results Fracture site had an average length of 2.4 (±1.4) mm and a position of 43.9 (±10.9) percent of the measurement length from the cranial end. No fracture reached the embedding. The average BMD at the fracture site was 80.2 (±28.7 | min. 14.5 | max. 137.8) mgCaHA/ml. In summary the results of the regression analyses showed for all three parameters a very good quality of fit by a power regression. Conclusion The results of this study show that QCT-based bone density measurements have a good predictive power for the material properties of the vertebral cancellous bone measured under near to physiological conditions. The mechanical bone properties of vertebral cancellous bone could be modelled with high accuracy in the investigated bone density range.

Quantitative computed tomography in measurement of vertebral trabecular bone mass

1988 ◽  
Vol 29 (6) ◽  
pp. 719-725 ◽  
Author(s):  
M. Nilsson ◽  
O. Johnell ◽  
K. Jonsson ◽  
I. Redlund-Johnell
Keyword(s):  
Computed Tomography ◽  
Bone Mass ◽  
Trabecular Bone ◽  
Quantitative Computed Tomography ◽  
Vertebral Trabecular Bone ◽  
Trabecular Bone Mass

Heterogeneity of Cortical Breaks in Hand Joints of Patients with Rheumatoid Arthritis and Healthy Controls Imaged by High-resolution Peripheral Quantitative Computed Tomography

2016 ◽  
Vol 43 (10) ◽  
pp. 1914-1920 ◽  
Author(s):  
Andrea Scharmga ◽  
Michiel Peters ◽  
Astrid van Tubergen ◽  
Joop van den Bergh ◽  
Cheryl Barnabe ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Computed Tomography ◽  
High Resolution ◽  
Trabecular Bone ◽  
Quantitative Computed Tomography ◽  
Peripheral Quantitative Computed Tomography ◽  
Healthy Controls ◽  
Poor Prognostic Factor ◽  
Bone Erosions ◽  
Bone Changes

Objective.Conventional radiographs (CR) of the hands are the gold standard for imaging bone erosions. The presence of bone erosions, reflected by the presence of cortical breaks, is a poor prognostic factor in patients with rheumatoid arthritis (RA). The availability of high-resolution peripheral quantitative computed tomography (HR-pQCT) enables detailed investigation of cortical breaks in rheumatic diseases. The aim of this image review is to show HR-pQCT images of the spectrum of cortical breaks with and without underlying trabecular bone changes in metacarpophalangeal (MCP) joints of healthy controls (HC) and patients with RA, with corresponding images on CR and magnetic resonance imaging (MRI).Methods.Second and third MCP joints of 41 patients (of which 10 were early RA with ≤ 2 years and 24 longstanding RA with ≥ 10 years of disease duration) and 38 HC were imaged by CR, MRI, and HR-pQCT (XtremeCT1, Scanco Medical AG). Representative images of the spectrum of cortical breaks were selected.Results.Cortical breaks were found in early and longstanding RA, but also in HC. They were heterogeneous in size, location, and number per joint, with a variety of surrounding cortical and underlying trabecular bone characteristics.Conclusion.Using HR-pQCT images of MCP joints, heterogeneous cortical breaks with and without surrounding trabecular bone changes were found, not only in RA but also in HC. The underlying mechanisms and significance of this spectrum of cortical breaks as found with high 3-D resolution needs further investigation.

scholarly journals Cortical bone density by quantitative computed tomography mirrors disorders of bone structure in bone biopsy of non-dialysis CKD patients

Bone Reports ◽  
2022 ◽  
pp. 101166
Author(s):  
Amandha L. Bittencourt ◽  
Maria Eugênia F. Canziani ◽  
Larissa D.B.R. Costa ◽  
Carlos E. Rochitte ◽  
Aluizio B. Carvalho
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Cortical Bone ◽  
Bone Structure ◽  
Bone Biopsy ◽  
Quantitative Computed Tomography ◽  
Cortical Bone Density
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