Assessment of Jaw Bone Density in Terms of Hounsfield Units Using Cone Beam Computed Tomography for Dental Implant Treatment Planning (original) (raw)
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Brazilian Oral Research, 2012
The aim of this study was to evaluate the validity of the bone density value of potential implant sites in HU obtained by a specific cone-beam computed tomography (CBCT) device. In this study, the HU values obtained using a MSCT scanner were used as the gold standard. Twenty mandibles (40 potential implant sites) were scanned using an MSCT scanner (Somatom Sensation 40) and a CBCT scanner (i-CAT). The MSCT images were evaluated using the Syngo CT Workplace software and the CBCT images, using the XoranCat software. The images were evaluated twice by three oral radiologists, at 60 day intervals. The trabecular bone density of the same area was evaluated on both images. Intraclass coefficients (ICC) were calculated to examine the agreement between the examiners and between the two periods of evaluation. The bone density and area of the ROI were compared by the Student t test and Bland-Altman analysis. ICCs were excellent. The mean HU value obtained using CBCT (418.06) was higher than that obtained using MSCT (313.13), with a statistically significant difference (p < 0.0001). In addition, Bland-Altman analysis showed that the HU measures were not equivalent. In conclusion, the bone density in HU with CBCT images obtained using the device studied proved unreliable, since it was higher than that obtained using MSCT.
Bone density assessments of dental implant sites: 2. Quantitative cone-beam computerized tomography
The International journal of oral & maxillofacial implants
Bone density was evaluated in designated implant sites using a novel volumetric computerized tomographic device. Those measurements were then compared with traditional quantitative computerized axial tomography and subjective bone density evaluation. Sixty-three potential sites for implant placement in jaws from 9 human cadavers were used. Indicator rods 2 mm in diameter were placed in all sites. Radiographic images representing 1-mm buccolingual slices immediately mesial and distal to the rods were selected. Bone density in Hounsfield units was assessed using quantitative cone-beam computerized tomography (QCBCT) and quantitative computerized tomography (QCT) in a standardized implant area superimposed on the images. Bone density was also subjectively evaluated by 2 independent examiners using the Lekholm and Zarb classification. The QCBCT bone density values were generally found to be higher than the corresponding QCT measurements. The correlations between the QCT and QCBCT values...
The Journal of Contemporary Dental Practice, 2018
Introduction: The success of dental implants depends primarily on the primary implant stability and the bone density so that predictable osseointegration can be achieved. To achieve the desired results, systematic preoperative planning for implant placement is required. The sole aim of the study was to assess the reliability of preoperative bone density of mandibular posterior region for implant placement using computerized tomography-derived bone densities in Hounsfield units (HU). Materials and methods: A total of 200 patients with 352 implant sites between 2014 and 2017 were assessed for the posterior mandibular area using cone-beam computed tomography (CBCT). Evaluation was done by two experienced observers independently. Results: The mean bone density of males was 690.5 ± 104.12 HU and in females, it was 580.20 ± 120.2 HU. Overall, 21% of sites were of low bone density, 39.5% were of intermediate density, and 39.4% were of high density. Receiver operating characteristic (ROC) analysis presented that the CBCT intensity values had a high predictive power for predicting both highdensity sites and intermediate-density sites. Conclusion: We can say from our results that, for predicting the bone densities in posterior mandible for determining implant sites, so as to achieve best osseointegration, CBCT values can be reliably used.
Variations in bone density at dental implant sites in different regions of the jawbone
SUMMARY The survival rate of dental implants is markedly influenced by the quality of the bone into which they are placed. The purpose of this study was to determine the trabecular bone density at potential dental implant sites in different regions of the Chinese jawbone using computed tomography (CT) images. One hundred and fifty-four potential implant sites (15 in the anterior mandible, 47 in the anterior maxilla, 55 in the posterior mandible, and 37 in the posterior maxilla) were selected from the jawbones of 62 humans. The data were subjected to statistical analysis to determine any correlation between bone density (in Hounsfield units, HU) and jawbone region using the Kruskal–Wallis test. The bone densities in the four regions decreased in the following order: anterior mandi-ble (530 AE 161 HU, mean AE s.d.) @ anterior maxilla (516 AE 132 HU) > posterior mandible (359 AE 150 HU) @ posterior maxilla (332 AE 136 HU). The CT data demonstrate that trabecular bone density varies markedly with potential implant site in the anterior and posterior regions of the maxilla and mandible. These findings may provide the clinician with guidelines for dental implant surgical procedures (i.e., to determine whether a one-stage or a two-stage protocol is required).
Cureus
Background and aim Radiographic assessment is an important diagnostic tool in dental practice. Cone beam computed tomography (CBCT) is among the most important imaging examinations. By providing multiplanar visualization of the maxillofacial region, CBCT enables practitioners to assess various conditions threedimensionally. CBCT is utilized in different fields within dentistry, including oral and maxillofacial surgery, endodontics, orthodontics, periodontics, implant dentistry, and others. Having access to accurate 3D images is crucial in implant dentistry. This study aimed to measure the crestal bone height loss and facial alveolar bone thickness in the maxillary anterior teeth using CBCT to investigate its effect on surgical planning for dental implant placement in adult patients. Material and methods CBCT scans (N = 119) of adults, aged 18-65 years, with bilateral permanent maxillary anterior teeth present were included in this retrospective study. The mean alveolar bone plate thickness and crest bone height loss adjacent to the maxillary anterior teeth were measured and differences were examined. Results The results suggest that additional care and assessment of dental implant placement should be considered when replacing the permanent lateral incisors and canines. The frequency of fenestrations and dehiscence is higher in older adults. Possible management includes guided bone regeneration or "pink restorative solutions." Conclusion CBCT analysis to assess the bone morphology surrounding "hopeless" maxillary anterior teeth is important to ensure proper diagnosis and management, including the use of dental implants.
European Journal of Dentistry, 2017
Objective: The aim of this study was to investigate the predictability of bone density at posterior mandibular implant sites using cone-beam computed tomography (CBCT) intensity values. Materials and Methods: CBCT cross-sectional images for 436 posterior mandibular implant sites were selected for the study. Using Invivo software (Anatomage, San Jose, California, USA), two observers classified the bone density into three categories: low, intermediate, and high, and CBCT intensity values were generated. Results: Based on the consensus of the two observers, 15.6% of sites were of low bone density, 47.9% were of intermediate density, and 36.5% were of high density. Receiver-operating characteristic analysis showed that CBCT intensity values had a high predictive power for predicting high density sites (area under the curve [AUC] =0.94, P < 0.005) and intermediate density sites (AUC = 0.81, P < 0.005). The best cut-off value for intensity to predict intermediate density sites was 2...
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2018
The aim of this study is to investigate the estimation of density from the Hounsfield unit of cone beam computed tomography data in dental imaging, especially for dental implant application. A jaw phantom with various known densities of anatomical parts (e.g. soft tissue, cortical bone, trabecular bone, tooth enamel, tooth dentin, sinus cavity, spinal cord and spinal disc) has been used to test the accuracy of the Hounsfield unit of cone beam computed tomography in estimating the mechanical density (true density). The Hounsfield unit of cone beam computed tomography data was evaluated via the MIMICS software using both two-dimensional and three-dimensional methods, and the results showed correlation with the true density of the object. In addition, the results revealed that the Hounsfield unit of cone beam computed tomography and bone density had a logarithmic relation, rather than a linear one. To this end, the correlation coefficient of logarithmic correlation (R = 0.95) is higher...
Alveolar bones density assessment of dental implant sites using cone-beam computed tomography
Padjadjaran Journal of Dentistry
ABSTRACTIntroduction: a preoperative assessment of bone density plays a vital role in the success of dental implant treatment. the maxilla and mandibular alveolar bone had a variety of bone densities. Therefore, dental imaging is an important step before placing a dental implant. Recently, Cone beam computed tomography (CBCT) is widely used in dental medicine and also recommended by AAOMR for preoperative implant placement. The aims of this study is to analyzed the alveolar bone density of the dental implant sites for dental implant planning using CBCT. Methods: ninety-three CBCT data were retrieved from the database of the department of oral and maxillofacial radiology at Dental Hospital Faculty of Dentistry Universitas Trisakti and examined. The recipient sites for dental implant placement were determined based on CBCT data using implant planning software (i-Dixel). The alveolar bones value is recorded in grayscale value (GV). Results: a great variety of alveolar bone density was ...
Evaluation of Bone Mineral Density Using Cone Beam Computed Tomography
STOMATOLOGY EDU JOURNAL
Introduction: Bone mineral density (BMD) is an important factor in the use of anchorage device. This study assessed the amount of bone density in the areas from 2.5 and 8.11 mm from maxillary alveolar to basal bone in Hounsfield units. Methodology: The samples included 30 unilateral cleft palate (15 males and 15 females) with the mean age of 14.23±2.5 years and 30 non-clefts (15 males and 15 females) with the mean age of 14±2.59 years. CBCT was used to estimate the values of bone density in Hounsfield units in the cleft and noncleft patients. BMD was measured in 4 heights (2-5-8-11mm) from alveolar bone to basal bone in mesio-distal and bucco-lingual slices in the upper jaw. T-test was used to analyze the bone density values between the cleft and noncleft. Results: The highest alveolar bone density in the mesio-distal slice was 1004± 6 HU between the right and left centrals in the upper jaw in height of 11 mm in non-cleft patients. The least amount of alveolar bone density in the mesio-distal slice was 259±29 HU in tuberosity in height of 11 mm in cleft patients. In non-cleft patients, the most amount of bone density was found 1639± 11 HU between the centrals in height of 11 mm in the bucco-lingual slice. Conclusions: Bone density in cleft patients was lower than in non-cleft patients in all areas and maxillary tuberosity showed the lowest bone density in cleft and non-cleft patients.
Journal of contemporary dentistry, 2016
Aim: The aim of this study was to analyze bone dimensions of the dentate posterior mandible using cone beam computed tomography (CBCT). Objectives: The objectives of this study were • To measure thickness of buccal and lingual bone walls in mandibular posterior teeth using CBCT. • To measure alveolar bone width in mandibular posterior teeth using CBCT. Materials and methods: Ten CBCT scans were included in the study (n = 65 teeth). Thicknesses of buccal and lingual walls were measured at measurement point 1 (MP1) and measurement point 2 (MP2). Alveolar width was assessed at most coronal detected alveolar bone (BW1) and at superior border of mandibular canal (BW2). Vertical distance between BW1 and BW2 was measured (H). Data were tabulated and results were statistically analyzed using unpaired t test. Results: The study showed that there was an increase in bone wall thickness from 1st premolar to 2nd molar for buccal and lingual alveolar plates. Lingual bone walls were thicker than buccal bone walls at MP1 and MP2 for all teeth. Bone width for premolars was considerably less than bone width of molars. Conclusion: Careful preoperative analysis using CBCT is important to assess need of bone augmentation procedures. As the bone thickness and width in the molar region is more adequate, prognosis of implants placed in molar region may be better. Clinical significance: Analysis of bone dimensions is of utmost importance for successful outcome of bone augmentation procedures in implant treatment.