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. 2013 Nov 9;12:115. doi: 10.1186/1475-925X-12-115

Trabecular bone structural parameters evaluated using dental cone-beam computed tomography: cellular synthetic bones

Jung-Ting Ho 1, Jay Wu 2, Heng-Li Huang 1, Michael YC Chen 1,3, Lih-Jyh Fuh 1,3, Jui-Ting Hsu 1,✉
PMCID: PMC3826852  PMID: 24207062

Abstract

Objective

This study compared the adequacy of dental cone beam computed tomography (CBCT) and micro computed tomography (micro-CT) in evaluating the structural parameters of trabecular bones.

Methods

The cellular synthetic bones in 4 density groups (Groups 1–4: 0.12, 0.16, 0.20, and 0.32 g/cm3) were used in this study. Each group comprised 8 experimental specimens that were approximately 1 cm3. Dental CBCT and micro-CT scans were conducted on each specimen to obtain independent measurements of the following 4 trabecular bone structural parameters: bone volume fraction (BV/TV), specific bone surface (BS/BV), trabecular thickness (Tb.Th.), and trabecular separation (Tb.Sp.). Wilcoxon signed ranks tests were used to compare the measurement variations between the dental CBCT and micro-CT scans. A Spearman analysis was conducted to calculate the correlation coefficients (r) of the dental CBCT and micro-CT measurements.

Results and Conclusion

Of the 4 groups, the BV/TV and Tb.Th. measured using dental CBCT were larger compared with those measured using micro-CT. By contrast, the BS/BV measured using dental CBCT was significantly less compared with those measured using micro-CT. Furthermore, in the low-density groups (Groups 1 and 2), the Tb.Sp. measured using dental CBCT was smaller compared with those measured using micro-CT. However, the Tb.Sp. measured using dental CBCT was slightly larger in the high-density groups (Groups 3 and 4) than it was in the low density groups. The correlation coefficients between the BV/TV, BS/BV, Tb.Th., and Tb.Sp. values measured using dental CBCT and micro-CT were 0.9296 (p < .001), 0.8061 (p < .001), 0.9390 (p < .001), and 0.9583 (p < .001), respectively. Although the dental CBCT and micro-CT approaches exhibited high correlations, the absolute values of BV/TV, BS/BV, Tb.Th., Tb.Sp. differed significantly between these measurements. Additional studies must be conducted to evaluate using dental CBCT in clinical practice.

Introduction

The trabecular bone is a sponge like bone composed of numerous trabeculae. Previous studies have reported that trabecular bone thicknesses ranges from 200 and 400 μm and the structure varies depending on the bone function and location in the body [1-4]. Several structural parameters are used to represent the architecture of the trabecular bone, namely, the bone volume fraction (BV/TV), trabecular number (Tb.N.), trabecular thickness (Tb.Th.), and trabecular separation (Tb.Sp.) [5]. In the past, histology methods were typically employed to assess trabecular bone structure. However, histological methods were invasive and therefore inappropriate for use in clinical diagnoses. In addition, histological methods provided only limited 2D information, which is inadequate for representing comprehensive 3D structures.

Computed tomography (CT) is used to stack 2D X-ray slices to reconstruct a 3D image and is the current mainstream method for assessing trabecular bone structure. In general, micro computed tomography (micro-CT) and high-resolution peripheral quantitative computed tomography (HR-pQCT) have been used for evaluating trabecular bone structures. Micro-CT produces image slices at a resolution ranging from 7 and 35 μm and is typically used for analyzing the trabecular bone structures of small animals and small human biopsy specimens [6,7]. Previous studies have confirmed highly obtained highly accurate analyses by using micro-CT and referencing histological methods [8]. Micro-CT is typically considered the standard for evaluating trabecular bone structure. However, because of scanning range restrictions and excessive radiation doses, micro-CT is limited to small animal models [7] and human biopsy specimen analyses [6,8], and is unsuitable for clinical diagnoses. Regarding clinical and in vivo studies, HR-pQCT has become increasingly prevalent because display resolution has increasingly enhanced. HR-pQCT produces slices at resolutions ranging from 70 to 300 μm [9,10] and is typically used for analyzing the peripheral trabecular bone structure of human distal long bones. In previous studies [3,4], researchers have employed HR-pQCT to analyze human distal radii and distal tibiae, determining the relationships between the structural parameters and mechanical properties of trabecular bones. However, the scanning range of HR-pQCT is tailored to measuring the periphery of distal long bones; this method is inadequate for analyzing craniofacial bones.

Recently, dental cone-beam computed tomography (CBCT) has become increasingly prevalent among dental clinics. Compared with conventional CT, dental CBCT presents numerous advantages such as lower radiation doses, shorter acquisition times, superior resolution, and affordable cost [11]. Because of technological advancements, the resolution of current dental CBCT ranges from 80 to 400 μm [12,13], which is similar to that of HR-pQCT. However, most previous studies have used only a single grayscale value in the dental CBCT to represent the host bone quality, and have not evaluated the structural parameters of the trabecular bone [11,14-16]. In our previous studies [17-21], these structural parameters, and particularly the bone to implant contact percentage (BIC %), have significantly influenced the dental implant’s primary stability, which is the key factor in its survival rate [6,18,22]. Therefore, elucidating the structure of the trabecular bone prior to dental implant surgery would be invaluable.

Previous studies have employed micro-CT for evaluating trabecular bone parameters; however, few studies have examined using dental CBCT to predict the structural parameters of the trabecular bone [23,24]. Therefore, we compared the adequacy of dental CBCT and micro-CT for evaluating the structural parameters of trabecular bones.

Materials and methods

Specimen preparation

Cellular synthetic bones were used in this study because obtaining fresh human cadaver bones is difficult. Four rigid and synthetic cellular polyurethane bones (Sawbones, Vashon, WA, USA) representing trabecular bones with densities of 0.12 g/cm3 (Model 1522–09, Group 1), 0.16 g/cm3 (Model 1522–10, Group 2), 0.20 g/cm3 (Model 1522–11, Group 3), and 0.32 g/cm3 (Model 1522–12, Group 4) were used in this study (Figure 1). Each specimen (dimensions of 1 cm3) was prepared to simulate the structure of peri-dental implant bone. The range of the density and elastic moduli of the trabecular bones used herein were based on those of Misch et al. [25]. Each group consisted of eight specimens. Overall, 32 cellular synthetic bone specimens were examined using dental CBCT and micro-CT scans.

Figure 1.

Figure 1

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The cellular synthetic bone used in this study [from left (Group 1) to right (Group 4): 0.12 g/cm 3 , 0.16 g/cm 3 , 0.20 g/cm 3 , and 0.32 g/cm 3 ].

Dental CBCT and micro-CT scanning and trabecular bone parameter measurements

The specimens were scanned in air to reduce the interference of surrounding materials in the CBCT and micro-CT analyses. A dental CBCT device (AZ 3000, Asahi Roentgen, Japan) was used to generate dental CBCT images of each specimen. The scanning parameters were set to 85 kV, 3 mA, a rotation step of 0.7°, and a voxel resolution of 100 μm. The dental CBCT scanning images were archived using the DICOM file format and 16-bit grayscale units. Micro-CT images of each specimen were obtained using the SkyScan 1076 micro-CT (SkyScan, Aartselaar, Belgium). The scanning parameters were set to 48 kV, 149 uA, a rotation step of 0.4°, and a voxel resolution of 17.24 μm. The scanned raw micro-CT images were archived using the TIF file format and 16-bit grayscale units. After scanning, the raw micro-CT images were imported into an imaging reconstruction software program, NRecon 1.6.9 (SkyScan, Aartselaar, Belgium). During the reconstruction step, the level of beam hardening correction was set at 100% to reduce inhomogeneous grayscale representation in the micro-CT images.

Regarding the micro-CT and dental CBCT approaches, the images were imported to ImageJ 1.46r (Rasband, W.S., ImageJ, U.S. National Institutes of Health, Bethesda, MD, USA). The BoneJ 1.3.9 program [26] was applied to measure the 4 trabecular bone structural parameters: BV/TV, BS/BV, Tb.Th., and Tb.Sp. (Table 1). Before analyzing the trabecular bone parameters, both the CBCT and micro-CT images processed filtering, thresholding, and binarizing steps. In filtering step, contrast and despeckle filters were applied. In the thresholding step, the “optimized threshold” method of the BoneJ program was applied to determine the threshold that yielded minimal connectivity levels. The voxel-counting method was applied to analyze the bone volume and total volume. Regarding the bone surface analysis, triangular surface mesh (2 pixels of side length) was applied. During the Tb.Th. and Tb.Sp. analyses, the diameter of the largest sphere that fit within the structure or hollow space was measured.

Table 1.

Trabecular bone structure parameters measured in this study

Indices Abbrev. Unit Definition
Bone volume fraction
 BV/TV
 %
 Ratio of the segmented bone volume to the total volume
Specific bone surface
 BS/BV
 mm-1
 Ratio of the segmented bone surface to the segmented bone volume
Trabecular thickness
 Tb.Th.
 mm
 Mean thickness of the trabeculae
Trabecular separation Tb.Sp. mm Mean distance between the trabeculae
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Statistical analysis

The mean, standard deviation, and coefficient of variation (CV) were calculated for all measurements. Wilcoxon signed ranks tests were used to compare the variations between the dental CBCT and micro-CT measurements. A Spearman analysis was conducted to calculate the correlation coefficients (r values) between the dental CBCT and micro-CT measurements. All statistical analyses were performed using OriginPro software (Version 8, OriginLab, Northampton, MA, USA). The statistical significance level was set to p < .05.

Results

Figure 2 shows 3D models of the cellular synthetic bone specimens which compiled using micro-CT and dental CBCT. In addition, Table 2 presents the 4 trabecular bone structural parameters that were calculated using these approaches. In Groups 1–4, both the BV/TV measured using the dental CBCT and micro-CT approaches and the BS/BV measured using the dental CBCT approach increased regarding enhanced specimen density. By contrast, the Tb.Th. and Tb.Sp. decreased as the specimen density was enhanced. Regarding the BS/BV measured using micro-CT, the BS/BV of Group 3 (density: 0.20 g/cm3) was slightly larger than was that of Group 4 (density: 0.32 g/cm3). However, the slight variation was statistically non-significant. In the 4 groups, the BV/TV and Tb.Th. measurements obtained using dental CBCT were all larger than were those obtained using micro-CT (p < .001). By contrast, the BS/BV measurements obtained using dental CBCT were significantly lower than were those obtained using micro-CT (p < .001). Furthermore, in the low-density groups (1 and 2), the Tb.Sp. measurements obtained using dental CBCT were lower than were those obtained using micro-CT. By contrast, the Tb.Sp. measurements obtained using dental CBCT were slightly larger in the high-density groups (3 and 4) compared with the low-density groups. Moreover, in all groups, the coefficient of variation of the BV/TV, BS/BV, and Tb.Th. measurements obtained using dental CBCT were higher compared with those obtained using micro-CT.

Figure 2.

Figure 2

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The 3D models of the cellular synthetic bone created by using dental CBCT and micro-CT.

Table 2.

The trabecular bone structural parameters measured by using dental CBCT and micro-CT

Group 1 2 3 4
Density
 0.12 g/cm3
 0.16 g/cm3
 0.20 g/cm3
 0.32 g/cm3
 
 Parameter
 Mean
 Mean
 Mean
 Mean
(unit)
 ±SD (CV%)
 ±SD (CV%)
 ±SD (CV%)
 ±SD (CV%)
dental CBCT
 BV/TV
 0.3813
 0.4171
 0.4495
 0.5041
(%)
 ±0.0365 (9.58)
 ±0.0298 (7.15)
 ±0.0344 (7.65)
 ±0.0346 (6.86)
BS/BV
 3.8478
 4.3609
 4.5422
 5.4714
(mm-1)
 ±0.1903 (4.95)
 ±0.2119 (4.86)
 ±0.2842 (6.26)
 ±0.3903 (7.13)
Tb.Th.
 1.0155
 0.8774
 0.8249
 0.6434
(mm)
 ±0.0514 (5.06)
 ±0.0390 (4.44)
 ±0.0375 (4.55)
 ±0.0313 (4.86)
Tb.Sp.
 1.8209
 1.3698
 1.1385
 0.7184
(mm)
 ±0.0947 (5.20)
 ±0.0356 (2.60)
 ±0.0312 (2.74)
 ±0.0288 (4.01)
micro-CT BV/TV
 0.1603
 0.1949
 0.2589
 0.3590
(%)
 ±0.0151 (9.42)
 ±0.0065 (3.34)
 ±0.0122 (4.72)
 ±0.0056 (1.56)
BS/BV
 9.4327
 10.4456
 11.6841
 11.4896
(mm-1)
 ±0.4077 (4.32)
 ±0.2628 (2.52)
 ±0.3627 (3.10)
 ±0.1631 (1.42)
Tb.Th.
 0.4169
 0.3734
 0.3280
 0.3123
(mm)
 ±0.0160 (3.83)
 ±0.0117 (3.14)
 ±0.0078 (2.37)
 ±0.0037 (1.18)
Tb.Sp.
 2.2985
 1.7038
 1.0578
 0.7064
(mm) ±0.2143 (9.32) ±0.0920 (5.40) ±0.0392 (3.71) ±0.0532 (7.53)
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SD, Standard deviation; CV, Coefficient of variation (SD/Mean); BV/TV, Bone volume fraction; BS/BV, Specific bone surface; Tb.Th., Trabecular thickness; Tb.Sp., Trabecular separation.

Figure 3 shows the correlations between the dental CBCT and micro-CT measurements. The correlation coefficients between the BV/TV, Tb.Th., and Tb.Sp. measurement values obtained using dental CBCT and micro-CT were 0.9296 (p < .001), 0.9390 (p < .001), and 0.9583 (p < .001), respectively, exhibiting a high correlation. The correlation between the BS/BV measurement value obtained using dental CBCT and micro-CT was 0.8061 (p < .001). In addition, the correlations between the 4 BV/TV and the other 3 trabecular bone structural parameters (BS/BV, Tb.Th., and Tb.Sp.) measured using micro-CT (r = 0.7485, -0.8959, -0.9641 for BS/BV, Tb.Th., and Tb.Sp., respectively, p < .001) were all stronger than were those of the BV/TV parameters measured using dental CBCT (r = 0.5307, -0.5963, -0.9210 for BS/BV, Tb.Th., and Tb.Sp., respectively, p < .001).

Figure 3.

Figure 3

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Correlations of trabecular bone structure parameters measured using dental CBCT and micro-CT. (A) BV/TV; (B) BS/BV; (C) Tb.Th., and (D) Tb.Sp.

Discussion

Typically, the peri-implant trabecular bone and cortical bone severely affect the dental implant’s primary stability [17-21], which is a critical factor influencing its survival rate [6,18,22]. Among the structural parameters of trabecular bones, BIC% has been confirmed to directly influence this primary stability [17,19]. Therefore, it is crucial to understand the trabecular bone structures of the jawbone before inserting a dental implant. Histological analyses have been the most directly method of assessing trabecular structure [8,27]; however, it is invasive and failed to provide 3D structural information. Although micro-CT has been adopted as the standard for analyzing trabecular bone structures, it is unsuitable for use in clinical diagnoses because of scanning range restrictions. Recently, the resolution of dental CBCT has improved, achieving resolutions similar to those yielded by HR-pQCT (80–400 μm). Nevertheless, most studies adopting dental CBCT have regarded the trabecular bone as a non-porous homogeneous structure, using a single grayscale value or bone mineral density for assessment. Thus, this study is the first to assess the structural parameters of cellular synthetic trabecular bones by using dental CBCT and micro-CT, comparing the results yielded by both systems. The findings indicated that although the absolute values differed, the results of both methods were highly correlated. These results may serve as a reference for clinical practitioners who employ dental CBCT to analyze the trabecular bone structures of alveolar bones.

Dental CBCT has been widely used in clinical dental practice; however, because of the restrictions caused by insufficient resolution, most dentists assess bone quality by examining the average CBCT grayscale values within or around the implant placement area before conducting dental implant surgery [14,16,22]. One study indicated a moderate correlation between implant survival rate and CBCT bone quality analysis [22]. In addition, González-García et al. applied micro-CT to perform bone biopsies following dental implantation, comparing the results to the presurgical CBCT analysis [14]; the findings showed a high correlation between the BV/TV analyses of micro-CT images and the grayscale analyses of CBCT images [14]. However, only moderate to low levels of correlation were determined between other trabecular bone structural parameters (e.g., Tb.Th., Tb.Sp.) after comparing the micro-CT and grayscale CBCT images.

In the current study, the BV/TV and Tb.Th. values measured using CBCT were higher than were those measured using micro-CT. Ibrahim et al. attained similar results [24] after examining human cadaver specimens. In addition, in the high-density specimens (Groups 3 and 4), yielded slightly higher Tb.Sp. measurements using dental CBCT compared with using micro-CT. However, the low-density specimens (Groups 1 and 2) yielded lower Tb.Sp. using dental CBCT compared with using micro-CT, contradicting the results of Ibrahim et al.’s study [24]. This implied that distinct porosity levels among specimens might yield varied structural analyses when comparing the results of dental CBCT and micro-CT. Regarding structural complexity, a previous study reported that dental CBCT yielded lower trabecular numbers compared with micro-CT [24]. In the current study, we used BS/BV as the structural complexity index, obtaining similar results as a previous study [24]. In the current study, the Tb.Th. measured using micro-CT ranged from 0.307 to 0.435 mm and the mean was 0.358 mm for cellular synthetic bone specimens; this was similar to the Tb.Th. of human jawbones reported in previous studies [1,2,6]. The Tb.Th. measured using CBCT approximately twice to that measured using micro-CT. This discrepancy could result from partial volume effects [28]. Another reason was the large voxel size required for CBCT scanning; thin trabeculae might not be detected, causing increased Tb.Th. and decreased BS/BV values in the CBCT images. Although though the experimental results were distinct, the structural parameters were highly correlated between the CBCT and micro-CT image analyses.

Previous research of trabecular bone structures has primarily examined natural bone and cellular synthetic bone specimens and each bone demonstrated unique advantages [29]. Natural bones are organic biochemical structures that are inhomogeneous, anisotropic, and viscoelastic, whereas cellular synthetic bones are easily obtainable, and the density and porosity of these specimens can be controlled. Because obtaining fresh human cadaver bone was difficult, cellular synthetic bone specimens composed of polyurethane were used in this study. In previous studies, various sources were used to obtain varying-sized specimens of maxillary bone to analyze the structures of trabecular bones. In clinical practice, dental implantation surgeons could harvest cylinder bone biopsies approximately 5 mm in diameter by using trephine before inserting dental implants [6,14]. In laboratory practice, entire dry cadaver mandibles or sections of dentition regions have been prepared as experimental specimens [23]. In this study, cubic sawbones specimens (length = 1cm) were applied to simulate the bone structures of peri-dental implants; these structures have been reported to significantly affect implant survival rates [6,18,22].

Threshold methods have been thoroughly discussed for use in micro-CT systems [30,31], however, discussions regarding thresholding CBCT images have remained scarce. Naitoh et al. proposed a dental CBCT image threshold method based on the varying proportions of cortical bone and water grayscale values [23], suggesting that the BV/TV measurements would exhibit significant variations as these proportions changed. This study involved an optimized threshold method built in the BoneJ program. This method has been proven to demonstrate similar analysis accuracy levels as other software programs such as the Scanco (Brüttisellen, Switzerland) and SkyScan CTAn (Aartselaar, Belgium) devices [26]. The threshold method in this study used all pixels in a stack to construct a histogram, employing the built-in isodata algorithm of ImageJ to determine the threshold. The threshold that yielded minimal connectivity was subsequently employed in the binarization step. In addition, because this method was sensitive to image noise, all images were masked using the contrast and despeckle filters before determining their thresholds. A previous study reported CBCT images that exhibited lower signal to noise ratios compared with micro-CT images [32]. In the current study, filtering also increased the signal to noise ratio. An alternate study indicated that an increased signal to noise ratio could compensate for the disadvantages caused by a large image voxel size [33].

Certain limitations to this study should be mentioned. First, the cellular synthetic bone specimens used in this study were not prepared using bone mineral material. Thus, the results cannot indicate the ability of dental CBCT systems to analyze human cadaver bones. Second, during clinical dental CBCT scanning, the quality of CBCT images is affected by surrounding tissues. However, these effects were not examined in this study and all specimens were scanned in air. Third, the same analysis software, BoneJ analysis software, was applied to the dental CBCT and micro-CT images. However, this software cannot measure the trabecular number, which is regarded as the basic trabecular bone structural parameter. Finally, this study involved analyzing only cellular synthetic bone specimens that comprised 4 distinct densities. The adequacy of dental CBCT in analyzing the trabecular bone structure of specimens that exhibit other densities requires further exploration.

Conclusion

Dental CBCT and micro-CT systems were to assess 4 trabecular bone structural parameters (BV/TV, BS/BV, Tb.Th., and Tb.Sp.) of 4 cellular synthetic bone specimens of varying densities. The absolute values of the experimental results obtained using dental CBCT significantly differed from those obtained using micro-CT. However, the results yielded by the two instruments demonstrated a strong positive correlation. However, additional studies are necessary to validate the use of dental CBCT in clinical studies.

Competing interests

The authors have no competing interests to declare.

Authors’ contributions

JTH, HLH, and JW conceived and designed the experiments; MYCC, JTH, and LJF performed the experiments; HLH and JTH analyzed the data; JTH wrote the manuscript; and all authors read and approved the final version of manuscript.

Contributor Information

Jung-Ting Ho, Email: firen101@yahoo.com.tw.

Jay Wu, Email: iamjaywu@gmail.com.

Heng-Li Huang, Email: hlhuang@mail.cmu.edu.tw.

Michael YC Chen, Email: mychen@mail.cmuh.org.tw.

Lih-Jyh Fuh, Email: ljfuh@mail.cmu.edu.tw.

Jui-Ting Hsu, Email: jthsu@mail.cmu.edu.tw.

Acknowledgments

This study was supported by National Science Council, Taiwan (grants NSC 101-2815-C-039-029-B and 102-2815-C-039-101-B).

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