Literature DB >> 27587947

Population-Stratified Analysis of Bone Mineral Density Distribution in Cervical and Lumbar Vertebrae of Chinese from Quantitative Computed Tomography.

Yong Zhang1, Zhuang Zhou2, Cheng'ai Wu3, Danhui Zhao3, Chao Wang3, Xiaoguang Cheng1, Wei Cai1, Ling Wang1, Yangyang Duanmu1, Chenxin Zhang1, Wei Tian4.   

Abstract

OBJECTIVE: To investigate the bone mineral density (BMD) of cervical vertebrae in a population-stratified manner and correlate with that of the lumbar vertebrae.
MATERIALS AND METHODS: Five hundred and ninety-eight healthy volunteers (254 males, 344 females), ranging from 20 to 64 years of age, were recruited for volumetric BMD (vBMD) measurements by quantitative computed tomography. Basic information (age, height, weight, waistline, and hipline), and vBMD of the cervical and lumbar vertebrae (C2-7 and L2-4) were recorded. Comparisons among sex, age groups and different levels of vertebrae were analyzed using analysis of variance. Linear regression was performed for relevance of different vertebral levels.
RESULTS: The vBMD of cervical and lumbar vertebrae was higher in females than males in each age group. The vBMD of the cervical and lumbar vertebrae in males and the vBMD of lumbar vertebrae in females decreased with aging. In each age group, the vBMD of the cervical vertebrae was higher than that of the lumbar vertebrae with gradual decreases from C2 to C7 except for C3; moreover, the vBMD of C6 and C7 was significantly different from that of C2-5. Correlations of vBMD among different cervical vertebrae (females: r = 0.62-0.94; males: r = 0.63-0.94) and lumbar vertebrae (males: r = 0.93-0.98; females: r = 0.82-0.97) were statistically significant at each age group.
CONCLUSION: The present study provided normative data of cervical vertebrae in an age- and sex-stratified manner. Sex differences in vBMD prominently vary with age, which can be helpful to design a more comprehensive pre-operative surgical plan.

Entities:  

Keywords:  Bone density; Cervical; Computed tomography; Lumbar; Normal; Population; Quantitative; Vertebra

Mesh:

Year:  2016        PMID: 27587947      PMCID: PMC5007385          DOI: 10.3348/kjr.2016.17.5.581

Source DB:  PubMed          Journal:  Korean J Radiol        ISSN: 1229-6929            Impact factor:   3.500


INTRODUCTION

Osteoporosis is a worldwide public health issue, which has received great attention (1). In osteoporotic patients, the abnormal bone mass can affect the mechanical properties of the bone (23) and may lead to low back pain, disc degeneration or wedge fracture of the vertebral body (45678). Moreover, the decreased bone mass of the cervical vertebrae is closely related to loosening of the spinal surgical implant screws and the artificial inter-vertebral disc substitutes (910). Currently, clinical and laboratory-based measurements of the lumbar vertebrae from dual-energy X-ray absorptiometry (DEXA) or quantitative computed tomography (QCT) are applied to investigate the bony status throughout the body (111213). However, the anatomy, function, and mechanisms of injury and load transfer between the cervical spine and lumbar spine differ significantly (14). The cervical spine is a complex and distinct articular system in the body due to its weight bearing requirements, 6 degrees freedom in movement (15), and function of providing passage for neural and vascular structures (16). The dense structure of the cervical vertebrae is attributed to high dynamic forces from mobility and decreased size of cervical bodies (17). Higher bone mineral density (BMD) within the cervical than lumbar spine could be explained on the basis of the unique anatomic characteristics of the cervical spine, phylogenetic and kinematic factors. Firstly, the cervical spine is exposed to high dynamic forces because of their mobility and small size (17). Secondly, the cervical vertebrae is a phylogenetic reminiscence of quadruped gait, and is exposed to much higher stress because of the supporting of the head (17). Thirdly, coupled with the unique muscular anatomy, the cervical spinal column accommodates complex motions from various muscles and in various directions (18). The cervical vertebra has specific characteristics, hence, our knowledge of the lumbar vertebrae cannot directly extend to the cervical vertebrae. Yoganandan et al. (1819) reported that the volumetric BMD (vBMD) of the cervical vertebrae is higher than that of the lumbar vertebrae; and the vBMD of the cervical vertebrae gradually decreases from C2 to C7 level. However, the findings of their study cannot be generalized for all ages as the study population had a mean age of 24.9 years (range from 18–40 years) in females and 25 years (range from 18–41 years) in males. To the best of our knowledge, there are no age- and sex-stratified studies to investigate the normal range of BMD of the cervical vertebrae. Moreover, the correlation between the cervical and lumbar vertebrae with age, which directly impacts pre-operative surgical plan for implant instrument, remains unknown. In addition, vertebral bodies consist of the peripheral cortical bone and the centrally located cancellous bone, which are both sensitive indicators of bone loss in aging and especially for postmenopausal women (20). Compared with DEXA, QCT shows a more comprehensive evaluation related to the disease, since it can selectively measure the cancellous bone of the vertebral body (2122). Therefore, the purposes of this study were (1) to investigate the sex- organd age-stratified normative vBMD values of the cervical vertebrae by QCT and (2) determine the correlations with those of the lumbar vertebrae.

MATERIALS AND METHODS

Study Subjects

The subjects included in this study were participants of an ongoing study since June 2014 on degeneration of the spine and knee. The present study analyzed existing data in the spine and knee degeneration study and the study protocol was approved by the Ethics Committee of our hospital. The criteria for inclusion were healthy adults, aged 20–65 years, and resident in Beijing > 5 years. Exclusion criteria were those who were affected by any disease that may influence bone metabolism, including trauma and tumor, and those who were taking bone metabolism regulating drugs (192023). All the subjects signed informed consent.

Cervical and Lumbar Vertebra Scanning by QCT

Basic information including age (years), height (cm), weight (cm), body mass index (BMI, kg/cm2), waistline (cm), and hipline (cm) were recorded before scanning. As part of the study protocol, the cervical vertebrae from C2 to C7 and lumbar vertebrae from L2 to L4 were scanned with Toshiba CT scanner (Aquilion PRIME ESX-302A, Toshiba Medical Systems Corporation, Otawara, Japan). A QCT calibration phantom (Mindways Inc., Austin, TX, USA) was placed beneath the spine and scanned simultaneously according to the standard scanning protocol by Lang et al. (24). The scanning parameters were as follows: 120 kV, 187 mAs, field-of-view 40 cm, 1 mm slice thickness, and reconstruction matrix: 512 × 512. The measurement error of this method is reportedly lower than 1.5% (2324).

Volumetric BMD (vBMD) Measurement

After scanning, the CT dataset were translated to the QCT workstation for further analysis with the QCT Pro 5.0.3 (Mindways Inc.). The regions of interest were defined as the oval-shaped areas containing the largest areas of the trabecular bone, not including the cortical bone or basivertebral plexus (1925). Then, the vBMD values of C2–7 and L2–4 were recorded and analyzed, respectively.

Statistical Analysis

SPSS 19.0 software (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. Data were grouped based on sex and age (10 years intervals) and expressed as the mean ± standard deviation (SD). One-way analysis of variance (ANOVA) was used to determine the statistically significant differences between different age groups. Repeated measures ANOVA was used to determine the statistically significant differences between different levels. P < 0.05 was considered as statistically significant. Linear regression analysis was also performed for both males and females and different age groups.

RESULTS

Characteristics of Subjects

Five hundred and ninety-eight healthy volunteers (254 males, mean age 40.1 ± 8.8 years; 344 females, mean age 41.4 ± 9.0 years) were recruited in this study. These included 5327 vertebrae, including 3569 cervical vertebrae and 1758 lumbar vertebrae. Some vBMD values of vertebrae were missing due to the following reasons: artifacts caused by dentures or mandibular metal implant (C2, 4; C3, 3; C4, 3); artifacts caused by the lead-based shielding vestment used to protect volunteers against radiation (C7, 9); and refusal to undergo the lumbar spine QCT examination in 12 volunteers (L2, 12; L3, 12; L4, 12). Basic information of all the subjects by sex was shown in Table 1.
Table 1

Basic Characteristics of Subjects

ParametersMale GroupFemale GroupP
Sample size254344
Age (years)40.1 ± 8.841.4 ± 9.00.082
Height (cm)170.7 ± 16.3160.1 ± 7.9< 0.001
Weight (kg)77.1 ± 13.362.1 ± 10.4< 0.001
BMI (kg/cm2)26.2 ± 3.524.6 ± 9.00.007
Waistline (cm)90.4 ± 10.480.6 ± 11.0< 0.001
Hipline (cm)100.71 ± 8.997.2 ± 6.9< 0.001

BMI = body mass index

Age-Stratified Study of vBMD Values for Males and Females

The mean vBMD values and SDs per age group for each vertebral level were shown in Table 2 for males and Table 3 for females. Additionally, charts of Tables were also shown in Figures 1 and 2 for males and females.
Table 2

Comparison of Age and vBMD Measurement for Males

AgeNumberC2C3C4C5C6C7L2L3L4
20–2933288 ± 50bcdefghi274 ± 40aefghi279 ± 35aefghi277 ± 35aefghi245 ± 34abcdfghi208 ± 33abcdeghi167 ± 24abcdefhi157 ± 21abcdefg156 ± 21abcdefg
30–3989286 ± 60bcdefghi267 ± 52acdefghi271 ± 54abdefghi261 ± 49abcefghi237 ± 44abcdfghi210 ± 43abcdeghi162 ± 31abcdefhi156 ± 28*abcdefg156 ± 30*abcdefg
40–4988273 ± 61bcdefghi253 ± 47*†acdefghi257 ± 46*abefghi256 ± 42*aefghi232 ± 40abcdfghi198 ± 40abcdeghi137 ± 25*†abcdefhi130 ± 24*†abcdefgi132 ± 26*†abcdefgh
50–5944261 ± 48*†bcdefghi244 ± 42*†aefghi247 ± 48*†aefghi249 ± 45*aefghi222 ± 41*abcdfghi193 ± 44†abcdeghi120 ± 25*†‡abcdefhi115 ± 27*†‡abcdefg115 ± 29*†‡abcdefg

ap < 0.05 vs. vBMD values of C2; bp < 0.05 vs. vBMD values of C3; cp < 0.05 vs. vBMD values of C4; dp < 0.05 vs. vBMD values of C5; ep < 0.05 vs. vBMD values of C6; fp < 0.05 vs. vBMD values of C7; gp < 0.05 vs. vBMD values of L1; hp < 0.05 vs. vBMD values of L2; ip < 0.05 vs. vBMD values of L3. *p < 0.05 vs. 20–29 age group, †p < 0.05 vs. 30–39 age group, ‡p < 0.05 vs. 40–49 age group. vBMD = volumetric bone mineral density

Table 3

Comparison of Age and vBMD Measurement for Females

AgeNumberC2C3C4C5C6C7L2L3L4
20–2942316 ± 50bdefghi296 ± 39acefghi312 ± 46bdefghi299 ± 44acefghi262 ± 35abcdfghi234 ± 34abcdeghi177 ± 21abcdefhi170 ± 19abcdefg171 ± 22abcdefg
30–3995337 ± 76bcdefghi315 ± 60acefghi329 ± 65abdefghi314 ± 64acefghi274 ± 55abcdfghi244 ± 48abcdeghi171 ± 29abcdefhi165 ± 28abcdefgi167 ± 28abcdefgh
40–49135339 ± 79bcdefghi318 ± 64*acdefghi328 ± 65abefghi323 ± 64*abefghi285 ± 57*abcdfghi248 ± 51abcdeghi168 ± 30abcdefhi159 ± 29*abcdefg159 ± 28*†abcdefg
50–5972280 ± 70*†‡bcdefghi264 ± 62*†‡acefghi271 ± 69*†‡abefghi267 ± 68*†‡aefghi230 ± 59*†‡abcdfghi208 ± 54*†‡abcdeghi132 ± 34*†‡abcdefhi123 ± 34*†‡abcdefg125 ± 34*†‡abcdefg

ap < 0.05 vs. vBMD values of C2; bp < 0.05 vs. vBMD values of C3; cp < 0.05 vs. vBMD values of C4; dp < 0.05 vs. vBMD values of C5; ep < 0.05 vs. vBMD values of C6; fp < 0.05 vs. vBMD values of C7; gp < 0.05 vs. vBMD values of L1; hp < 0.05 vs. vBMD values of L2; ip < 0.05 vs. vBMD values of L3. *p < 0.05 vs. 20–29 age group, †p < 0.05 vs. 30–39 age group, ‡p < 0.05 vs. 40–49 age group. vBMD = volumetric bone mineral density

Fig. 1

Outline of vBMD data between groups for males assessed by QCT.

BMD = bone mineral density, QCT = quantitative computed tomography, vBMD = volumetric BMD

Fig. 2

Outline of vBMD data between groups for females assessed by QCT.

BMD = bone mineral density, QCT = quantitative computed tomography, vBMD = volumetric BMD

In population-based analysis for males, mean vBMD values were the highest in the 20–29 years age group for the cervical (C2–6) and lumbar (L2–4) vertebrae except the C7 vertebrae, which peaked in the 30–39 years age group. Generally, the vBMD values decreased with aging, while the vBMD values of L2–4 remained unchanged until 30–39 years of age and decreased more significantly than those of the cervical vertebrae in the 40–49 and 50–59 years age groups. Interestingly, most of the data showed statistically significant differences in every other age group. For the analysis of differences among vertebrae, the vBMD values of C2 was the highest, followed by C4 and C5, in order, in different age groups. Moreover, the vBMD values of C3 were between those of C2 and C4, and the vBMD values of C5–6 were reduced from C5 and significantly different from those of C2–4 vertebrae. However, the vBMD values of cervical vertebrae were higher than those of the lumbar vertebrae. In addition, the differences of vBMD values between L2–4 vertebrae were not statistically significant among different age groups. In females, the vBMD values of cervical vertebrae increased with aging but decreased in the 50–59 years age group; conversely, the vBMD values of lumbar vertebrae peaked in the 20–29 years age group and then decreased with aging. For the analysis of difference among vertebrae, the vBMD values of C2 was the highest followed by C4 in all age groups. The shifting trends of C3, C5–7 and L2–4 were consistent with those of males; in addition, the vBMD values of cervical vertebrae were significantly higher than those of lumbar vertebrae, similar to males. The vBMD values of vertebrae in females were significantly higher than those in males at each age group for both the cervical and lumbar vertebrae.

Age-Stratified Study of Correlations between Each Level of Vertebrae for Males and Females

The vBMD correlation coefficients between different vertebrae at each age group were shown in Table 4 for males and Table 5 for females. In both males and females, good correlations were observed among lumbar vertebrae (males: r = 0.93–0.98; females: r = 0.82–0.97) at each age group, as well as the cervical vertebrae (females: r = 0.62–0.94; males: r = 0.63–0.94), but more prominent among adjacent levels (females: r = 0.825–0.943; males: r = 0.758–0.928). The correlation of the lumbar vertebrae was higher than that of the cervical vertebrae. Besides, low correlations were detected for C2 and C7 (r = 0.49) in females and for C7 and C2–6 (r = 0.35–0.54) in males. Some correlation was also found between cervical and lumbar vertebrae (males: r = 0.46–0.69; females: r = 0.46–0.85).
Table 4

Correlation between Sections for Males

SectionsAge GroupC2C3C4C5C6C7L2L3
C320–290.825
30–390.903
40–490.885
50–590.855
C420–290.7840.922
30–390.8700.943
40–490.8800.923
50–590.8500.895
C520–290.6570.7880.837
30–390.8620.9170.911
40–490.8220.8650.906
50–590.7870.8550.857
C620–290.6310.7210.7360.884
30–390.8490.9040.8820.937
40–490.7720.7860.8590.892
50–590.8260.8140.8580.863
C720–290.3890.3840.3540.4510.540
30–390.7180.7740.7260.7970.846
40–490.6720.7240.7690.7870.866
50–590.8000.8080.7650.7820.868
L220–290.5240.5900.4920.5460.6440.492
30–390.6000.6280.6390.6360.6800.648
40–490.5400.5460.5640.6310.6560.592
50–590.5480.5550.5590.5830.6600.687
L320–290.5460.5950.4890.5420.6630.5100.965
30–390.5880.6250.6170.6330.6740.6560.976
40–490.5090.5050.5150.6000.6190.5380.955
50–590.5320.5280.5240.5440.6520.6970.968
L420–290.5900.5700.4650.4730.5900.5020.9300.948
30–390.5880.6230.6140.6290.6670.6810.9460.970
40–490.5400.5410.5400.6220.6330.5420.9260.959
50–590.5620.5440.5370.5430.6550.6960.9310.964
Table 5

Correlation between Sections for Females

SectionsAge GroupC2C3C4C5C6C7L2L3
C320–290.810
30–390.943
40–490.871
50–590.899
C420–290.7900.901
30–390.8980.919
40–490.8980.919
50–590.8540.927
C520–290.7440.7960.883
30–390.8420.8700.889
40–490.7940.8690.903
50–590.8570.8880.904
C620–290.6160.7430.8010.758
30–390.7940.8100.8520.913
40–490.7450.8220.8610.914
50–590.8530.9130.9070.919
C720–290.4910.7290.8200.7400.795
30–390.8130.8160.8280.8870.928
40–490.7410.8090.8460.8600.901
50–590.8490.8650.8360.8660.920
L220–290.7320.7800.8270.7770.7110.787
30–390.6830.7080.6930.7080.7270.762
40–490.6350.6460.6700.7000.7300.717
50–590.7980.8110.8360.8500.8430.850
L320–290.6790.6930.7420.7300.5400.7050.896
30–390.6990.7200.7060.7160.7330.7860.970
40–490.6230.6210.6360.6720.6900.6870.972
50–590.7890.8000.8280.8170.8110.8060.962
L420–290.6800.6740.7270.7150.4640.6470.8170.942
30–390.6260.6660.6510.6620.6820.7300.9310.961
40–490.6180.6310.6430.6810.6970.6980.9530.964
50–590.7990.7880.8170.8360.8150.8210.9440.960

DISCUSSION

Differences in BMD values measured by DEXA and QCT are widely recognized (20262728). The reason is possibly related to different bone turnover between the cancellous and the cortical bone. DEXA is unable to selectively measure a specific area, which will inevitably include the cortical bone. This may affect our pre-operative evaluations on the state of bone and future surgical plans. However, QCT was more advanced in selectively measuring the volumetric trabecular bone (cancellous bone only) without any superimposition of surrounding tissues (29). Previous studies have investigated the vBMD data of cervical vertebrae using different techniques (303132). Curylo et al. (32) reported significant differences of the BMD values measured by DEXA among levels of the lower cervical vertebrae in a human cadaver study (range of age: 61 to 81 years); they also found that the BMD values were the highest for C5 and decreased both cephalically and caudally. Moreover, Anderst et al. (30) and Weishaupt et al. (31) reported that the BMD value of C5 was the highest among the cervical vertebrae. The vBMD data from our study are in general agreement with those of the previous studies, with some differences. In both, males and females, the vBMD values of the cervical vertebrae were gradually reduced from the cephalic to the caudal levels, while the lumbar vertebrae showed no difference. Additionally, the vBMD values of C2 were the highest, which was different from previous studies (303132); however, the vBMD values of C5 were not the highest among cervical vertebrae, according to some reports. Yoganandan et al. (18) reported a decreasing trend in mean BMD from the neck to the low back in 57 males and the highest mean BMD of C2, which was higher than that of C5. On the other hand, in another study, Yoganandan et al. (19) measured the BMD of cervical, thoracic and lumbar vertebrae of 30 female subjects and found that the BMD of C2 (275.3 mg/mL) was slightly lower than that of C5 (280.4 mg/mL). The size of the study population and methodology differ among the reports. Our study had a larger number of subjects (n = 598) than studies by Anderst et al. (30) (n = 21) and Weishaupt et al. (31) (n = 50). Furthermore, as part of the upper cervical vertebrae, C1–2 share about 60% of the rotating and 40% of the flexion-extension movements, which might contribute to the high vBMD values of C2. Genetic, racial, environmental difference and nutritional factors might be other explanations (33343536). Besides, cervical osteoporotic fractures rarely occur in C2 (37), which indirectly corroborates our finding. Moreover, the vBMD values of the cervical vertebrae were not uniform and exhibited greater fluctuations than those of lumbar vertebrae, especially in C6 and C7, which were significantly different from those of C2–5, possibly due to the unique characteristics of cervical vertebral anatomy, phylogenetic factors and complex motions from the surrounding muscles (1838). Miller et al. (39) reported that fractures at C7 level were more common than those at other cervical levels, which could be attributed to lowest BMD values among the cervical vertebrae. Extensive data stratified for age and sex were obtained. Similar to the lumbar vertebrae in males, the cervical vertebrae showed a decreasing trend of bone mass with aging. However, different from the decreasing trend of the lumbar vertebrae in females, the vBMD values of the cervical vertebrae increased with aging and decreased dramatically till menopause. This phenomenon might be related to the secretion and accumulation of estrogen with aging, but the specific reasons remain unknown. The vBMD values of the cervical and lumbar vertebrae were higher in females, as compared to males at every age group. The results are in accordance with earlier studies (18192040). This findings differ from the areal BMD results by DEXA, possibly since areal BMD by DEXA are size-dependent and tend to overestimate areal BMD in patients with large bones or higher BMI, and underestimate it in patients with small bones or lower BMI (4142). The results are consistent with the phenomenon in which the incidence of cervical fractures in females is lower than that in males (434445), as the cervical vertebrae might have a lower likelihood of fracture than the lumbar vertebrae due to the higher vBMD values (464748). Correlations among the lumbar vertebrae were higher than those in the cervical vertebrae, and some correlation was detected among the cervical and lumbar vertebrae, as reported previously (181920), indicating that the vBMD values of the lumbar vertebrae do not accurately predict the vBMD values in the cervical vertebrae. Therefore, it is necessary to obtain the vBMD values from its adjacent levels. In addition, with the lack of differences observed among L2–4 vBMD values at each age group, the lumbar vertebrae is more suitable for clinical and biomechanical evaluation and as the reference of bone mass throughout the body. To our knowledge, this is the first clinical study to investigate and establish the normative data on cervical vertebrae in an age-stratified and sex-related manner. In addition, we measured the vBMD values of the cervical and lumbar vertebrae on the same day in order to guarantee the accuracy of the descriptions of correlation between the cervical and lumbar vertebrae. However, there were still some limitations. First, we excluded the 10–19 years-of-age group because this group was still in the growth stage, and not authorized for study by the Ethics Committee. Moreover, the small number of subjects in the 60–69 years-of-age group could have further limited the statistical analysis. In conclusion, the present study comparatively determined the vBMD values of the cervical and lumbar vertebrae from 598 volunteers using QCT in an age- and sex-stratified manner. The vBMD values generally decreased in both the cervical and lumbar vertebrae with aging, except for the cervical vertebrae in females, which increased with aging and then decreased dramatically till menopause. Additionally, the vBMD value of C2 was the highest, suggesting that trabecular bony architecture was denser and more protected by the high BMD values. These prominent normative data of the cervical vertebrae from the QCT could be helpful to comprehensively evaluate the cervical spine status and design a better pre-operative surgical plan for implant instrument.
  47 in total

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Authors:  Narayan Yoganandan; Frank A Pintar; Brian D Stemper; Jamie L Baisden; Recyi Aktay; Barry S Shender; Glenn Paskoff; Purushottam Laud
Journal:  Bone       Date:  2006-03-31       Impact factor: 4.398

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Authors:  Michael Bligh; Luc Bidaut; R Allen White; William A Murphy; Donna M Stevens; Dianna D Cody
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3.  Vertebral bone density evaluated by dual-energy X-ray absorptiometry and quantitative computed tomography in vitro.

Authors:  E N Ebbesen; J S Thomsen; H Beck-Nielsen; H J Nepper-Rasmussen; L Mosekilde
Journal:  Bone       Date:  1998-09       Impact factor: 4.398

4.  Segmental variations of bone mineral density in the cervical spine.

Authors:  L J Curylo; R W Lindsey; B J Doherty; A LeBlanc
Journal:  Spine (Phila Pa 1976)       Date:  1996-02-01       Impact factor: 3.468

5.  Intervertebral variation in trabecular microarchitecture throughout the normal spine in relation to age.

Authors:  H J Grote; M Amling; M Vogel; M Hahn; M Pösl; G Delling
Journal:  Bone       Date:  1995-03       Impact factor: 4.398

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Review 8.  Radiologic diagnosis of osteoporosis. Current methods and perspectives.

Authors:  S Grampp; M Jergas; C C Glüer; P Lang; P Brastow; H K Genant
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9.  Computed tomography of thoracic and lumbar spine injuries.

Authors:  P G Trafton; C A Boyd
Journal:  J Trauma       Date:  1984-06

10.  Heterogeneity in Spinal Bone Mineral Density Among Young Adults From Three Eastern Provincial Capital Cities in Mainland China.

Authors:  Xiao-Guang Cheng; Kai Li; Shan-Xing Ou; Guang-Yu Tang; Qian-Qian Wang; Chao Wang; Ling Wang; Wei Tian
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Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-21       Impact factor: 5.555

6.  Proposed diagnostic volumetric bone mineral density thresholds for osteoporosis and osteopenia at the cervicothoracic spine in correlation to the lumbar spine.

Authors:  Sebastian Rühling; Andreas Scharr; Nico Sollmann; Maria Wostrack; Maximilian T Löffler; Bjoern Menze; Anjany Sekuboyina; Malek El Husseini; Rickmer Braren; Claus Zimmer; Jan S Kirschke
Journal:  Eur Radiol       Date:  2022-04-06       Impact factor: 7.034

7.  Hounsfield Unit for Assessing Bone Mineral Density Distribution Within Cervical Vertebrae and Its Correlation With the Intervertebral Disc Degeneration.

Authors:  Xiao Liang; Qingtao Liu; Jiaxin Xu; Wenyuan Ding; Hui Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-08       Impact factor: 6.055

  7 in total

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