Correlation of bone density values of quantitative computed tomography and Hounsfield units measured in native computed tomography in 902 vertebral bodies

2021 ◽  
Author(s):  
Fabian Buenger ◽  
Niklas Eckardt ◽  
Yasser Sakr ◽  
Christian Senft ◽  
Falko Schwarz
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Quantitative Computed Tomography ◽  
Hounsfield Units ◽  
Density Values ◽  
Vertebral Bodies

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 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

scholarly journals Bone density: comparative evaluation of Hounsfield units in multislice and cone-beam computed tomography

2012 ◽  
Vol 26 (6) ◽  
pp. 550-556 ◽  
Author(s):  
Isabela Maria de Carvalho Crusoé Silva ◽  
Deborah Queiroz de Freitas ◽  
Glaucia Maria Bovi Ambrosano ◽  
Frab Norberto Bóscolo ◽  
Solange Maria Almeida
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Cone Beam Computed Tomography ◽  
Comparative Evaluation ◽  
Cone Beam ◽  
Hounsfield Units

scholarly journals ASSESSMENT OF JAW BONE DENSITY IN TERMS OF HOUNSFIELD UNITS USING CONE BEAM COMPUTED TOMOGRAPHY FOR DENTAL IMPLANT TREATMENT PLANNING

2021 ◽  
Vol 71 (1) ◽  
pp. 221-27
Author(s):  
Myra Ahmad ◽  
Yasir Ikram Ahmed ◽  
Farheen Qureshi ◽  
Muhammad Sharjeel Ashraf ◽  
Zubair Ahmed Khan ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Treatment Planning ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Hounsfield Units ◽  
Implant Placement ◽  
The Mean ◽  
Anterior Mandible ◽  
Implant Treatment

Objective: To assess jawbone density in terms of Hounsfield units using cone beam computed tomography fordental implant treatment planning in patients reporting to a local tertiary care dental hospital Study Design: Cross sectional study. Place and Duration of Study: Department of Periodontology and Oral Implantology, Fatima Memorial Hospital, Lahore, from Mar to Sep 2018. Methodology: A total of 100 patients who fulfilled the inclusion criteria and underwent implant placement wereincluded in the study. After ethical approval, informed and written consent, brief history was taken and a singleradiographer exposed and took cone beam computed tomography scan of all the subjects using PLANMECAmachine. A single investigator using PLANMECA software recorded jawbone density in terms of Hounsfieldunits. All data were presented as mean, SD and one way ANOVA was used. Multiple comparisons of the fourregions in the maxilla and mandible were performed with a Tukey test. An independent t-test was also used tocompare gender with age groups and bone density. Results: Total of 100 patients who underwent implant placement were included, 48 (48%) were males & 52 (52%) were females with the mean age of 28.53 ± 5.33 years. The mean jawbone density in terms of Hounsfield units using cone beam computed tomography in anterior maxilla was 709.75 ± 122.63 Hounsfield units, posterior maxilla was 299.66 ± 73.09 Hounsfield units, anterior mandible was 1093.34 ± 109.42 Hounsfield units and posterior mandible was 599.45 ± 135.55 Hounsfield units (p<.001). Conclusion: The anterior mandible and anterior...........

scholarly journals EXPLORING CORTICAL BONE DENSITY THROUGH THE ULTRASOUND INTEGRATED REFLECTION COEFFICIENT

2018 ◽  
Vol 26 (4) ◽  
pp. 255-259
Author(s):  
Daniel Patterson Matusin ◽  
Aldo José Fontes-Pereira ◽  
Paulo Tadeu Cardozo Ribeiro Rosa ◽  
Thiago Barboza ◽  
Sergio Augusto Lopes de Souza ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Reflection Coefficient ◽  
Cortical Bone ◽  
Quantitative Computed Tomography ◽  
Density Variation ◽  
Bone Surface ◽  
Weak Correlation ◽  
Level Of Evidence ◽  
The Relationship

ABSTRACT Objective: This work evaluates the relationship between ultrasonic reflection and bone density from fourteen cylindrical bovine cortical bone samples (3.0-cm thick). Methods: Twenty US reflection signals per sample were acquired along the bone surface (2.0-mm step). The Integrated Reflection Coefficient (IRC) from each signal was compared to Quantitative Computed Tomography (QCT). Results: Seven IRC and QCT curves presented Pearson's Correlation R-values above 0.5. For weak correlation curves, QCT and IRC showed similar trends in several segments. Conclusion: IRC was sensitive to bone density variation. Level of Evidence: Experimental Study, Investigating a Diagnostic Test.

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