Morphometric analysis – Cone beam computed tomography to predict bone quality and quantity

Hohlweg-Majert, Bettina; Metzger, Marc Christian; Kummer, Tobias; Schulze, Dirk

doi:10.1016/j.jcms.2010.10.002

Cited by 66 publications

(54 citation statements)

References 35 publications

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“…When comparing the current results to previous investigations on the use of CBCT grey values, it should be noted that findings and conclusions from past studies were often limited to a single CBCT device [11][12][13][14][15][16][17][18]. However, because of the wide range seen in CBCT image quality and radiation dose, it is not feasible to make statements regarding CBCT as a whole based on the results from particular CBCT devices.…”

Section: Grey Values In Dental Cbctmentioning

confidence: 83%

“…Current-generation CBCT scanners allow for linear and volumetric measurements at potential implant sites in the jaw bones at submillimetre accuracy [7][8][9][10][11]. However, there are contradictory reports as to whether CBCT can be used for bone tissue evaluations by means of density estimations [10][11][12][13][14][15][16][17][18][19][20][21][22], similar to the use of Hounsfield units (HU) in MSCT which can be related to absolute density [3,[23][24][25][26][27]. Although most CBCT devices use 12-bit images (i.e.…”

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confidence: 99%

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Variability of dental cone beam CT grey values for density estimations

Pauwels

Nackaerts²,

Bellaiche³

et al. 2013

BJR

123

112

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Objective: The aim of this study was to investigate the use of dental cone beam CT (CBCT) grey values for density estimations by calculating the correlation with multislice CT (MSCT) values and the grey value error after recalibration. Methods: A polymethyl methacrylate (PMMA) phantom was developed containing inserts of different density: air, PMMA, hydroxyapatite (HA) 50 mg cm 23, HA 100, HA 200 and aluminium. The phantom was scanned on 13 CBCT devices and 1 MSCT device. Correlation between CBCT grey values and CT numbers was calculated, and the average error of the CBCT values was estimated in the medium-density range after recalibration. Results: Pearson correlation coefficients ranged between 0.7014 and 0.9996 in the full-density range and between 0.5620 and 0.9991 in the medium-density range. The average error of CBCT voxel values in the medium-density range was between 35 and 1562. Conclusion: Even though most CBCT devices showed a good overall correlation with CT numbers, large errors can be seen when using the grey values in a quantitative way. Although it could be possible to obtain pseudo-Hounsfield units from certain CBCTs, alternative methods of assessing bone tissue should be further investigated. Advances in knowledge: The suitability of dental CBCT for density estimations was assessed, involving a large number of devices and protocols. The possibility for grey value calibration was thoroughly investigated.

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Section: Grey Values In Dental Cbctmentioning

confidence: 83%

mentioning

confidence: 99%

Variability of dental cone beam CT grey values for density estimations

Pauwels

Nackaerts²,

Bellaiche³

et al. 2013

BJR

123

112

View full text Add to dashboard Cite

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“…This is well correlated with its biomechanical properties [17]. There is a linear correlation between bone density (measured in g/cm -3 of hydroxylapatite -HA) and the grey values of CBCT [11]. In this study the modified grey value scale was used instead of Hounsfield unit scale for bone tissue evaluation.…”

Section: Discussionmentioning

confidence: 99%

“…In dentistry CT is still used to evaluate the alveolar bone before implant placement, and the HU values are considered to give the objective and reliable information on the amount and quality of bone [6,7] compared to the subjective in its nature classification system of Lekholm and Zarb [8,9] The increasing application of CBCT to bone density assessment impelled researchers to evaluate the new system in relation to CT. Some studies showed that bone density measurements of the same selected regions in jaws made by means of both methods were not corresponding to each other [10,11] displaying higher HU values for CBCT images [8,10]. The HU values were also different for two different CBCT devices [12].…”

mentioning

confidence: 99%

Evaluating Maxilla Bone Quality Through Clinical Investigation of Voxel Grey Scale Values from Cone-Beam Computed Tomography for Dental Use

Andruch¹,

Płachta²

2015

Adv Clin Exp Med

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“…In previous years, articles describing the possibility to describe bone density using CBCT [23][24][25] The mean correlation denotes the mean value of the correlation coefficients with micro-CT for all the studied histomorphometric parameters (trabecular separation, trabecular thickness, trabecular number, bone volume over total volume, trabecular nodes and trabecular termini). Accuitomo FPD; J. Morita Mfg., Kyoto, Japan.…”

Section: Discussionmentioning

confidence: 99%

Trabecular bone histomorphometric measurements and contrast-to-noise ratio in CBCT

Klintström

Smedby²,

Klintström³

et al. 2014

Dentomaxillofacial Radiology

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Objectives: The aim of this study was to evaluate how imaging parameters at clinical dental CBCT affect the accuracy in quantifying trabecular bone structures, contrast-to-noise ratio (CNR) and radiation dose. Methods: 15 radius samples were examined using CBCT (Accuitomo FPD; J. Morita Mfg., Kyoto, Japan). Nine imaging protocols were used, differing in current, voltage, rotation degree, voxel size, imaging area and rotation time. Radiation doses were measured using a kerma area product-meter. After segmentation, six bone structure parameters and CNRs were quantified. Micro-CT (mCT) images with an isotropic resolution of 20 mm were used as a gold standard. Results: Structure parameters obtained by CBCT were strongly correlated to those by mCT, with correlation coefficients .0.90 for all studied parameters. Bone volume and trabecular thickness were not affected by changes in imaging parameters. Increased tube current from 5 to 8 mA, decreased isotropic voxel size from 125 to 80 mm and decreased rotation angle from 360°to 180°affected correlations for trabecular termini negatively. Decreasing rotation degree also weakened correlations for trabecular separation and trabecular number at 80 mm voxel size. Changes in the rotation degree and tube current affected CNR significantly. The radiation dose varied between 269 and 1153 mGy cm 2 . Conclusions: Trabecular bone structure can be accurately quantified by clinical dental CBCT in vitro, and the obtained structure parameters are strongly related to those obtained by mCT. A fair CNR and strong correlations can be obtained with a low radiation dose, indicating the possibility for monitoring trabecular bone structure also in vivo.

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Morphometric analysis – Cone beam computed tomography to predict bone quality and quantity

Cited by 66 publications

References 35 publications

Variability of dental cone beam CT grey values for density estimations

Variability of dental cone beam CT grey values for density estimations

Evaluating Maxilla Bone Quality Through Clinical Investigation of Voxel Grey Scale Values from Cone-Beam Computed Tomography for Dental Use

Trabecular bone histomorphometric measurements and contrast-to-noise ratio in CBCT

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