| Home | E-Submission | Sitemap | Contact Us |  
top_img
The Nerve > Volume 7(2); 2021 > Article
Yoon, Kim, Ryu, and Yoon: What Causes the Discrepancy between Quantitative Computed Tomography and Dual Energy X-Ray Absorptiometry?

Abstract

Objective

Dual energy X-ray absorptiometry (DXA) is a standard tool for measuring the bone mineral density (BMD), but it sometimes provides inaccurate results. In contrast, quantitative computed tomography (QCT) measures the BMD more accurately by directly measuring the trabecular bone. This study examined the factors that cause the discrepancy between DXA and QCT with advanced spinal imaging.

Methods

The medical records of 59 patients who underwent DXA, QCT, and a lumbar spine magnetic resonance imaging (MRI) were reviewed retrospectively. The following values were measured on plain radiographs, computed tomography, and MRI: lumbar lordosis, segmental scoliosis, compression fracture, spondylosis, abdominal aortic calcification, facet joint degeneration, and Modic change. The significant parameters contributing to the discordance results between DXA and QCT were evaluated by logistic regression analysis.

Results

QCT identified osteoporosis in 43 patients (72.88%). DXA identified 15 osteoporotic patients (25.42%). Of the 44 patients not diagnosed with osteoporosis by DXA, 30 patients (68.18%) were diagnosed with osteoporosis by QCT. Multivariate logistic regression analysis showed that the result of DXA might be overestimated by a degenerated facet joint (odds ratio [OR] 4.58; 95% confidence interval [CI], 1.1-19.07) and measurements at a fracture site (OR, 1.63; 95% CI, 1.23-2.15).

Conclusion

DXA might miss a diagnosis of osteoporosis. Facet joint hypertrophy due to degeneration revealed a stronger association with the overestimation of the BMD by DXA than the formation of osteophytes at the vertebral body. Therefore, the results of DXA should be interpreted carefully, considering the possibility of interruption.

INTRODUCTION

Osteoporosis is emerging as a serious health problem worldwide24,33). An accurate examination of the bone mineral density (BMD) is important for treating the elderly of osteoporosis; it affects the prediction of the clinical prognosis, such as the fracture risk calculation, and the treatment choice18). As the elderly population increases, the proportion of patients with osteoporosis is expected to increase. In particular, in spinal fusion surgery, osteoporosis is closely related to the clinical outcome because the fusion rate and degree of subsidence differ according to the patient’s BMD. The prevalence of osteoporosis in patients requiring spinal surgery has also increased.
Dual energy X-ray absorptiometry (DXA) is the gold standard method of measuring the areal BMD of the lumbar spine and hip10). This technique determines the two-dimensional BMD, including both the trabecular and cortical bone. During DXA measurements, two X-ray beams are directed at the bone. The bone density can be calculated from the absorption of each beam by the bone after subtracting the beam quantity absorbed by soft tissue25). In contrast, quantitative computed tomography (QCT) is a representative technology to complement DXA. With the progression of computed tomography (CT) diagnosis technology, QCT was developed to measure bone density. QCT is performed on a CT scanner using a calibration phantom and dedicated computer software for analysis. Calibration phantoms are devices composed of material similar to the bone mineral structure. they are needed to convert the attenuation measured in Hounsfield units into BMD values3,15). In an estimation of the BMD, the trabecular bone is more important than the cortical bone because most of the bone mineral metabolism occurs in the trabecular bone. QCT can differentiate the cancellous bone so that it is more sensitive to the detection of osteoporosis and for monitoring the changes in the bony structures than DXA1,23). Owing to the difference between DXA and QCT, clinicians sometimes experience conflicting results from the two studies. For example, the BMD measured by DXA may be overestimated due to increased bone surface with degenerative changes7,31,39). Another study reported that 55% to 90% of osteoporotic fractures appeared in individuals without a diagnosis of osteoporosis by DXA28).
Despite the advanced volumetric measurements by QCT, DXA remains the most popular diagnostic measurement with several advantages, including low radiation dose, rapid data analysis, medium price, and easy handling2,18). In most cases, clinicians make decisions on patients with potential osteoporosis using only DXA. Therefore, it is important to recognize the risk factors that cause an overestimation of the DXA values. Many studies have reported that patients with obesity, bone degenerative changes, and aortic calcification may have an overestimate BMD value when examined with DXA36). On the other hand, most studies lacked advanced spinal imaging, such as CT and magnetic resonance imaging (MRI). This study examined the factors causing the discrepancy between DXA and QCT using imaging data, such as spinal MRI and CT of the lumbar spine.

MATERIALS AND METHODS

1. Study Design

The medical data of 59 patients who underwent DXA and QCT between June 2018 and July 2019 were reviewed. Each patient was scanned on Prodigy DXA (GE Healthcare, Madison, WI, USA) and a 256-slice GE Revolution CT scanner (GE Healthcare). Prodigy DXA scans were analyzed by Lunar Prodigy Advance enCORE Version 17 (GE Healthcare), and CT scans were processed using QCTPro software (Mindways Software, Inc., Austin, TX, USA). The DXA software marked regions of interest (ROI) consisted of the L1 through L4 vertebrae area5). QCT software included two vertebrae between T11 and L4, usually L1 and L2. ROI of QCT measured the trabecular BMD in isolation of selected vertebrae.
These examinations were performed with an interval of less than six months. All data, including the clinical and radiologic results, were reviewed retrospectively from the electronic medical records.
The Institutional Review Board (IRB) at the authors’ institute (IRB No. 2020-01-002) approved this study, and the informed consent requirement was waived. Patients with a history of infection, tumors, or previous laminectomy were excluded.
All patients were classified into normal, osteopenia, or osteoporosis from the results of DXA according to the World Health Organization classification. Osteoporosis is defined as a BMD of 2.5 standard deviations (SDs) or more below the average for young, healthy women (a T-score of <−2.5 SD). Osteopenia was defined as a BMD below the normal value (a T-score between −1 to −2.5)8). The results of QCT were also classified according to The American College of Radiology diagnostic categories. Osteoporosis was defined by a trabecular BMD <80mg/cm3 and osteopenia 80≤BMD ≤120mg/cm3. The patients were classified into the concordance or discordance group depending on the agreement between the DXA and QCT results. The concordance group included patients with consistent BMD results of DXA and QCT, and the discordance group included patients whose BMD results were overestimated in DXA compared to QCT.

2. Radiologic Evaluation

Plain radiographs of the lumbar spine and MRI were taken in all enrolled patients. Lumbar lordosis was defined as the Cobb angle between the inferior endplate of T12 and the superior endplate of S1 in a lateral image with a neutral position14). The presence of scoliosis was defined if the Cobb angle between the lumbar vertebrae exceeded 10º in the anterior-posterior image6). The presence of prior surgical instrumentation, including bone cement, was also confirmed16).

3. Lumbar Spondylosis

Spondylosis was scored at all lumbar vertebrae using the Kellgren-Lawrence (KL) method as follows: KL1, slight osteophytes; KL2, definite osteophytes; KL3, disc space narrowing with osteophytes; KL4, bone sclerosis, disc space narrowing, and large osteophytes (Fig. 1). The scores from each lumbar intervertebral disc were then combined22,37).

4. Abdominal Aorta Calcification (AAC)

The degree of AAC was quantified using the AAC-8 scale, which evaluates the anterior and posterior abdominal aortic wall calcification in front of the vertebral body from L1 to L4. Both the anterior and posterior aortic wall calcification were scored from 0 to 4 so that the total score ranged from 0 to 8 as follows: 0, no calcification is seen; 1, length of calcification is equal to the height of one vertebra or less; 2, the length is more than one but less than or equal to the heights of two vertebrae; 3, the length is more than two but less than or equal to the heights of three vertebrae; 4, the length of calcification was more than the height of three vertebrae (Fig. 2)19).

5. Modic Endplate Change

The Modic change might affect the BMD of DXA. In each group, patients with Modic changes were classified into three types according to the lumbar spine MRI results. Type I represents bone marrow edema and inflammation. Type II represents the conversion of normal red hemopoietic bone marrow into yellow fatty marrow due to marrow ischemia. Type III represents subchondral bony sclerosis9,20,26).

6. Facet Joint Degeneration

The facet joint is located between the superior and inferior processes of the vertebra and is composed of an articular capsule, cartilage, and synovium. The facet joint degeneration is similar to other synovial joints, such as the knee17,30,41). A larger facet with degenerative changes also cause discordance between the DXA and QCT results. Facet degeneration was graded from 0 to 3 with axial images per lumbar spinal segment of the CT and MRI data.: grade 0, normal facet joint space (2±4mm width); grade 1, narrowing of the facet joint space (<2mm) and/or small osteophytes and/or mild hypertrophy of the articular process; grade 2, narrowing of the facet joint space and/or moderate osteophytes and/or moderate hypertrophy of the articular process and/or mild subarticular bone erosions; and grade 3, narrowing of the facet joint space and/or large osteophytes and/or severe hypertrophy of the articular process and/or severe subarticular bone erosions and/or subchondral cysts29,38). The facet joint degeneration grade was measured for all lumbar spine levels of the patient, and each grade was combined.

7. DXA Measurement at the Fracture Site

Ideally, DXA measurements should be limited to a normal-shaped vertebra. On the other hand, confirming a vertebral fracture and subsequent wedging deformity with a blurred anterior-posterior image on DXA is difficult, especially if are no further images to detect the wedging. As a result, radiology technicians sometimes include DXA measurements at the fracture site unintentionally (Fig. 3) This technical error is considered a risk factor that might affect the areal BMD estimated by DXA.

8. Statistical Analysis

The descriptive data are pesented as the mean±SD. The χ2 test and Fisher exact test were performed to compare the categorical variables between two independent groups. A Student’s t-test was performed to compare the continuous variables between two independent groups; p-values less than 0.05 were considered statistically significant. Multivariate logistic regression analysis was used to analyze the possible risk factors with backward elimination. All statistical analyses were performed using SPSS version 20.0(SPSS Inc., Chicago, IL, USA).

RESULTS

1. Baseline Characteristics

The sex ratio was not different significantly between the two groups (M:F=10:15 vs. M:F=10:24). The mean age of the discordance group was significantly higher than that of the concordance group (66.84±12.73 vs. 73.64±7.48). The physical conditions, including height, weight, and body mass index (BMI), were no disparity in both groups. The presence of prior spinal instrumentation or cement augmentation was similar in both groups (p=0.587). The mean number of vertebrae with a wedging deformity due to prior compression fractures was 0.72±0.79 and 1.00±0.98 for the concordance and discordance groups, respectively. The difference was not significant (p=0.247). Thus, except for age, the remaining demographic data did not show significant differences between the two groups (Table 1).

2. The Two-groups Classification for Comparison

Among the 59 patients enrolled, DXA showed an overestimation in 34 patients for the detection of osteoporosis compared to QCT. They were classified as follows: normal on DXA and osteopenia on QCT, normal or osteopenia on DXA, and osteoporosis on QCT. These patients were defined as a discordance group. On the other hand, 23 patients demonstrated the same diagnosis on both DXA and QCT. Only two patients showed an underestimation of DXA compared to QCT. These 25 patients were defined as the concordance group (Table 2).

3. Risk Factor Comparison

The risk factors identified by further lumbar imaging studies were compared between the two groups. Lumbar scoliosis and lumbar lordosis were similar in both groups (p=0.412, 0.906, respectively). Although the number of compression fractures was similar in the two groups, the DXA measurements at fracture were more frequent in the discordance group than the concordance group (20% vs. 52.9%, p=0.015). The mean KL grade of spondylosis was 6.56±3.42 and 8.32±3.77 for the concordance and discordance groups, respectively; they were not statistically different (p=0.071). AAC-8 was significantly higher (3.11±2.99) in the discordance group than in the concordance group (1.4±2.59) (p=0.025). The Modic endplate changes were observed in four patients in the concordance group and nine patients in the discordance group without a significant difference (p=0.417). The mean facet degeneration grade of the concordance and discordance groups was 8.92±2.39 and 12.23±2.68, respectively. The difference was significant (p<0.001) (Table 3).

4. Multivariate Logistic Regression Analysis

A multivariate logistic regression model was constructed using the statistically significant risk factors between the two groups by univariate analysis. After stepwise elimination, there were two statistically significant risk factors. The highest odds ratio (OR) was observed in the measurements at fracture (OR, 4.58; 95% confidence interval [CI], 1.1-19.07). The facet degeneration grade showed a significant relationship (OR, 1.63; 95% CI, 1.23-2.15) (Table 4).

DISCUSSION

The discrepancy between the DXA and QCT was attributed to technical differences during BMD acquisition. QCT can evaluate trabecular and cortical bone independently. QCT measured BMD volumetrically and interpreted in three dimensions, whereas DXA evaluates areal bone density and reflects the amount of cortical and trabecular tissue present within a vertebrae structure. It has been reported that intra- and an interobserver compromise was outstanding in L1 density measurement by QCT. According to Gerety et al.11), there were intra-class correlation coefficients for each observer’s measurements at two separate time points with a coefficient for observer 1 of 0.94 (95% CI, 0.88-0.97) and observer 2 and 3 of 0.99 (95% CI, 0.98-1). They also presented interobserver measurements had an intra-class correlation coefficient of 0.98 (95% CI, 0.96-0.99)11). For these reasons, QCT has less impact on degenerative changes on BMD compared to DXA15).
The interruption maximizes at the lumbar spine compared to the femur. Previous studies reported that several risk factors, including spondylosis and aortic calcification, affect the areal BMD measured by DXA. On the other hand, their results were limited because prior studies relied on only plain radiographs. In contrast, the present study was conducted with additional spinal imaging results, such as CT and MRI. Therefore, an evaluation of a more detailed structural classification was possible with this study, which had never been recognized before. As a result, two novel risk factors showed a stronger relationship with the discrepancy between DXA and QCT.
Measurements at a fracture site are a form of technical error regarding the DXA outputs. After obtaining a spine bone density image, the interpreting physician should mark the ROI. According to the guideline, the region should include the inferior portion of T12 and the superior portion of L54). Setting the ROI, the physician easily excludes the area with artificial devices, such as augmenting cement and spinal instrumentation. Detecting and excluding fracture sites are inconvenient using only an unclear anteroposterior bone density scan. As a result, fracture sites are often included in ROI at DXA examination in clinical practice. The present study showed that the inclusion of the fracture sites in the ROI resulted in a powerful misinterpretation of DXA. This would have resulted from the DXA calculation using the areal BMD. The condensed bony structure by a compression fracture may lead to an overestimation of the BMD because a wedging deformity cannot be detected in two-dimensional images. Therefore, the interpreting physician needs to confirm the presence of a wedging deformity with a lateral plain radiograph if possible.
Degenerative changes of the lumbar spine are a confounding factor of DXA measurement12,13,16).
According to Yu et al.39), lumbar degenerative changes were found in all 114 patients in a group whose BMD was overestimated at the DXA examination, but they focused only on the anterior spinal column. One study reported a significant increase in BMD in subjects with vertebral osteophytes. In contrast, Reid et al.32) reported that-spinal osteophytes are unlikely to interfere with the BMD estimation, which is similar to the results of the present study. In this study, the discordance group showed a higher KL grade of spondylosis, which evaluates the degenerative changes in the vertebral osteophytes, but the difference failed to reach statistical significance. On the other hand, facet degeneration grade was a significant factor affecting the measurements from DXA. In previous papers, it has not been reported intensively whether facet joint hypertrophy has a greater effect on overestimated BMD at the DXA examination. The facet degeneration grade by Weishaupt et al.38) also concentrat ed on the narrowing of joint space and sclerosis. Nevertheless, the most significant change by a higher grade would be hypertrophy of the facet joint. Facet joint hypertrophy appears to be in proportion to the volumetric increase in the total bony structures9).
The positional relationship during DXA scanning was evaluated by the presence of scoliosis and lumbar lordosis. None of these two factors showed a significant difference between the concordance and discordance groups. On the other hand, these results do not mean that the position is irrelevant in an examination. The technician is required to confirm whether the patient has a straightforward position. The result cannot be compared if the patient had a different position on repetitive scans from the baseline study.
AAC also influences the BMD result because DXA scanning cannot distinguish between a pure vertebral structure and calcification within an adjacent blood vessel21). In this study, AAC showed a significant difference between the two groups but failed to improve the significance in multivariate analysis. Li et al.23) reported that 41/140 patients (29.3%) were diagnosed with osteoporosis only by QCT, not by DXA. A relatively large proportion of patients (25 patients, 61.0%) were found to have AAC. AAC also acts as an important independent determinant of cardiovascular disease35). A previous study reported that the severity of aortic calcifications was negatively correlated with the BMD results at the lumbar spine27).
Two patients were diagnosed with osteoporosis on DXA but osteopenia on QCT. They were included in the concordance group in this study. They consisted of one male and one female. They had relatively short stature (male, 164 cm; BMI, 24.72; female, 149 cm; BMI, 19.82). There has been a report that a short stature can be associated with an inaccurate measurement of bone mass34). The female patient was on the treatment of osteoporosis with denosumab. It is reported that desunomab reduces cortical porosity and increases the volume ratio of trabecular bone to total bone volume40). Although underestimation of DXA could be caused by changes in the proportion of cortical bone depending on the drug and medical condition, the exact cause of underestimation of DXA was unclear in these two patients.
This study had several limitations. This research had a retrospective design with a relatively small sample size. Furthermore, because this study was conducted in a single institution, the results might have been affected by the distinct characteristics of the area. A multi-center study with a larger number of patients from diverse regions will be needed to decrease the possibility of bias.

CONCLUSION

QCT showed a higher detection rate of osteoporosis than DXA. DXA might miss a diagnosis of osteoporosis. Facet joint hypertrophy due to degeneration revealed a stronger association with the overestimation of the BMD by DXA than the formation of osteophytes at the vertebral body. The inclusion of a region-of-interest at the fracture site, which is a common technical error, also resulted in the incorrect measurement of osteoporosis by DXA. Therefore, the results of DXA should be interpreted carefully.

ACKNOWLEDGEMENTS

This work was supported by Inha University Hospital Research Grant.

Conflicts of Interest

CONFLICTS OF INTEREST

No potential conflict of interest relevant to this article was reported.

Fig. 1
Using the Kellgren-Lawrence (KL) grade, lumbar spondylosis was scored. (A) KL1, slight osteophytes, (B) KL2, definite osteophytes, (C) KL3, disc space narrowing with osteophytes, (D) KL4, bone sclerosis, disc space narrowing, and large osteophytes.
nv-7-2-64f1.jpg
Fig. 2
Total score was the sum of anterior and posterior calcification scores over L1 to L4 and ranged from 0 to 8; (1) 1, length of calcification is equal to the height of 1 vertebrae or less; (2) 2, the length is more than 1 but less than or equal to the heights of 2 vertebrae; (3) 3, the length is more than 2 but less than or equal to the heights of 3 vertebrae; (4) 4, the length of calcification was more than the height of 3 vertebrae. For example, the patient’s abdominal aorta calcification-8 score was 8.
nv-7-2-64f2.jpg
Fig. 3
In the patient, (A) the lumbar X-ray lateral view showed an L2 severe burst fracture, (B, C) but posteroanterior dual energy X-ray absorptiometry included the fracture level when representing the bone mineral density (BMD) T-score, −1.5.
nv-7-2-64f3.jpg
Table 1
Demographics characteristics of the concordance group and discordance groups
Variables Concordance group (n=25) Discordance group (n=34) p-value
Sex (male:female) 10:15 10:24 0.419
Age (year) 66.84±12.73 73.64±7.48 0.013*
Height (cm) 155.36±7.15 152.29±6.52 0.092
Weight (kg) 59.34±11.6 61.2±10.47 0.521
BMI 24.62±4.63 26.37±4.04 0.127
BMD (g/cm2, DXA) 0.9058±0.24 0.9799±0.12 0.129
T score (DXA) −1.98±1.98 −1.18±0.98 0.047*
BMD (mg/cm3, QCT) 84.17±42.88 60.77±24.00 0.010*
Instrumentation or cement augment 7 (28%) 12 (35.3%) 0.587
Compression fracture (No. of level) 0.72±0.79 1.00±0.98 0.247

The data is presented as the mean±standard deviation or number (%).

BMI: body mass index; BMD: bone mineral density; DXA: dual energy X-ray absorptiometry; QCT: quantitative computed tomography.

* p<0.05 is significant.

Table 2
Diagnostic results of DXA and QCT for 59 participants
QCT Normal (BMD>120 mg/cm3) Osteopenia (80≤BMD≤120 mg/cm3) Osteoporosis (BMD<80 mg/cm3)

DXA
Normal (T≥-1.0) 5 4 13
Osteopenia (−2.5<T<−1.0) 0 5 17
Osteoporosis (T≤ −2.5) 0 2 13

DXA: dual energy X-ray absorptiometry; QCT: quantitative computed tomography; BMD: bone mineral density.

Table 3
Comparison of the radiological risk factors between the concordance group and discordance groups
Radiological risk factors Concordance group (n=25) Discordance group (n=34) p-value
Scoliosis (Cobb angle >10º) 5/25 (20%) 10/34 (29.4%) 0.412
LL (º,T12-S1) 33.84±21.55 33.27±16.04 0.906
Measurement at fracture 5 (20%) 18 (52.9%) 0.015*
Spondylosis grade (KL) 6.56±3.42 8.32±3.77 0.071
AAC-8 1.4±2.59 3.11±2.99 0.025*
Modic change 0.417
None 21 25
 Type I 1 1
 Type II 3 4
 Type III 0 4
 Facet degeneration grade 8.92±2.39 12.23±2.68 <0.001

The data is presented as the mean±standard deviation or number (%). LL: lumbar lordosis; KL: Kellgren-Lawrence; AAC: abdominal aorta calcification.

* p<0.05 is significant.

Table 4
Results of multivariate logistic regression analysis for the presence of a discrepancy between QCT and DXA
Risk factors Logistic regression

p-value Odds ratio (95% CI)
Facet degeneration grade 0.001* 1.63 (1.23-2.15)
Measurement at fracture 0.036* 4.58 (1.1-19.07)

QCT: quantitative computed tomography; DXA: dual energy X-ray absorptiometry; CI: confidence interval.

* p<0.05 is significant.

REFERENCES

1. Adams JE: Quantitative computed tomography. Eur J Radiol 71:415-424, 2009
crossref pmid
2. Blake GM, Fogelman I: The role of DXA bone density scans in the diagnosis and treatment of osteoporosis. Postgrad Med J 83:509-517, 2007
crossref pmid pmc
3. Brett AD, Brown JK: Quantitative computed tomography and opportunistic bone density screening by dual use of computed tomography scans. J Orthop Translat 3:178-184, 2015
crossref pmid pmc
4. Choplin RH, Lenchik L, Wuertzer S: A practical approach to interpretation of dual-energy X-ray absorptiometry (DXA) for assessment of bone density. Curr Radiol Rep 2:482014
crossref
5. El Maghraoui A, Roux C: DXA scanning in clinical practice. QJM 101:605-617, 2008
crossref pmid
6. Elfiky T, Patil N, Shawky M, Siam A, Ragab R, Allam Y: Oxford cobbometer versus computer assisted-software for measurement of cobb angle in adolescent idiopathic scoliosis. Neurospine 17:304-311, 2020
crossref pmid pmc
7. Engelke K: Quantitative computed tomography-current status and new developments. J Clin Densitom 20:309-321, 2017
crossref pmid
8. Fountoulis G, Kerenidi T, Kokkinis C, Georgoulias P, Thriskos P, Gourgoulianis K, et al: Assessment of bone mineral density in male patients with chronic obstructive pulmonary disease by DXA and quantitative computed tomography. Int J Endocrinol 2016:61697212016
crossref
9. Fujiwara A, Tamai K, An HS, Kurihashi T, Lim TH, Yoshida H, et al: The relationship between disc degeneration, facet joint osteoarthritis, and stability of the degenerative lumbar spine. J Spinal Disord 13:444-450, 2000
crossref pmid
10. Garg MK, Kharb S: Dual energy X-ray absorptiometry: Pitfalls in measurement and interpretation of bone mineral density. Indian J Endocrinol Metab 17:203-210, 2013
crossref pmid pmc
11. Gerety EL, Hopper MA, Bearcroft PW: The reliability of measuring the density of the L1 vertebral body on CT imaging as a predictor of bone mineral density. Clin Radiol 72:177e9-177.e15, 2017
crossref
12. Grams AE, Rehwald R, Bartsch A, Honold S, Freyschlag CF, Knoflach M, et al: Correlation between degenerative spine disease and bone marrow density: a retrospective investigation. BMC Med Imaging 16:172016
crossref pmid pmc
13. Guglielmi G, Floriani I, Torri V, Li J, van Kuijk C, Genant HK, et al: Effect of spinal degenerative changes on volumetric bone mineral density of the central skeleton as measured by quantitative computed tomography. Acta Radiol 46:269-275, 2005
crossref pmid
14. Iii WS, Orías AAE, Shifflett GD, Lee JYB, Siemionow K, Gandhi S, et al: Image-based markers predict dynamic instability in lumbar degenerative spondylolisthesis. Neurospine 17:221-227, 2020
crossref pmid pmc
15. Kabayel DD: The role of quantitative computed tomography and magnetic resonance imaging in diagnosis and follow-up of osteoporosis: A review. Turk J Phys Med Rehab 62:288-295, 2016
crossref
16. Kaiser J, Allaire B, Fein PM, Lu D, Jarraya M, Guermazi A, et al: Correspondence between bone mineral density and intervertebral disc degeneration across age and sex. Arch Osteoporos 13:1232018
crossref pmid pmc
17. Kalichman L, Hunter DJ: Lumbar facet joint osteoarthritis: a review. Semin Arthritis Rheum 37:69-80, 2007
crossref pmid
18. Kanis JA, Glüer CC: An update on the diagnosis and assessment of osteoporosis with densitometry. Committee of Scientific Advisors, International Osteoporosis Foundation. Osteoporos Int 11:192-202, 2000
crossref pmid
19. Kim ED, Kim JS, Kim SS, Jung JG, Yun SJ, Kim JY, et al: Association of abdominal aortic calcification with lifestyle and risk factors of cardiovascular disease. Korean J Fam Med 34:213-220, 2013
crossref pmid pmc
20. Kim SM, Rhee W, Ha S, Lim JH, Jang IT: Influence of alendronate and endplate degeneration to single level posterior lumbar spinal interbody fusion. Korean J Spine 11:221-226, 2014
crossref pmid pmc
21. Kinsella S, Murphy K, Breen M, O’Neill S, McLaughlin P, Coyle J, et al: Comparison of single CT scan assessment of bone mineral density, vascular calcification and fat mass with standard clinical measurements in renal transplant subjects: the ABC HeART study. BMC Nephrol 16:1882015
crossref pmid pmc
22. Kohn MD, Sassoon AA, Fernando ND: Classifications in brief: Kellgren-Lawrence classification of osteoarthritis. Clin Orthop Relat Res 474:1886-1893, 2016
crossref
23. Li N, Li XM, Xu L, Sun WJ, Cheng XG, Tian W: Comparison of QCT and DXA: Osteoporosis detection rates in postmenopausal women. Int J Endocrinol 2013:8954742013
crossref
24. Lin X, Xiong D, Peng YQ, Sheng ZF, Wu XY, Wu XP, et al: Epidemiology and management of osteoporosis in the People’s Republic of China: current perspectives. Clin Interv Aging 10:1017-1033, 2015
pmid pmc
25. Löffler MT, Sollmann N, Mei K, Valentinitsch A, Noël PB, Kirschke JS, et al: X-ray-based quantitative osteoporosis imaging at the spine. Osteoporos Int 31:233-250, 2020
crossref pmid
26. Mera Y, Teraguchi M, Hashizume H, Oka H, Muraki S, Akune T, et al: Association between types of Modic changes in the lumbar region and low back pain in a large cohort: the Wakayama spine study. Eur Spine J 30:1011-1017, 2021
crossref pmid
27. Naves M, Rodríguez-García M, Díaz-López JB, Gómez-Alonso C, Cannata-Andía JB: Progression of vascular calcifications is associated with greater bone loss and increased bone fractures. Osteoporos Int 19:1161-1166, 2008
crossref pmid
28. O’Neill TW, Felsenberg D, Varlow J, Cooper C, Kanis JA, Silman AJ: The prevalence of vertebral deformity in european men and women: the European Vertebral Osteoporosis Study. J Bone Miner Res 11:1010-1018, 1996
crossref pmid
29. Pathria M, Sartoris DJ, Resnick D: Osteoarthritis of the facet joints: accuracy of oblique radiographic assessment. Radiology 164:227-230, 1987
crossref pmid
30. Rai RR, Shah Y, Shah S, Palliyil NS, Dalvie S: A radiological study of the association of facet joint tropism and facet angulation with degenerative spondylolisthesis. Neurospine 16:742-747, 2019
crossref pmid pmc
31. Rajasekaran S, Tangavel C, Soundararajan DCR, Nayagam SM, Matchado MS, Muthurajan R, et al: Proteomic signatures of healthy intervertebral discs from organ donors: A comparison with previous studies on discs from scoliosis, animals, and trauma. Neurospine 17:426-442, 2020
crossref pmid pmc
32. Reid IR, Evans MC, Ames R, Wattie DJ: The influence of osteophytes and aortic calcification on spinal mineral density in postmenopausal women. J Clin Endocrinol Metab 72:1372-1374, 1991
crossref pmid
33. Ryu SJ, Ryu DS, Kim JY, Park JY, Kim KH, Chin DK, et al: Bone mineral density changes after orchiectomy using a scrotal approach in rats. Korean J Spine 12:55-59, 2015
crossref pmid pmc
34. Schoenau E, Land C, Stabrey A, Remer T, Kroke A: The bone mass concept: problems in short stature. Eur J Endocrinol 151(Suppl 1):S87-S91, 2004
crossref
35. Setiawati R, Di Chio F, Rahardjo P, Nasuto M, Dimpudus FJ, Guglielmi G: Quantitative assessment of abdominal aortic calcifications using lateral lumbar radiograph, dual-energy X-ray absorptiometry, and quantitative computed tomography of the spine. J Clin Densitom 19:242-249, 2016
crossref pmid
36. Toussaint ND, Lau KK, Strauss BJ, Polkinghorne KR, Kerr PG: Determination and validation of aortic calcification measurement from lateral bone densitometry in dialysis patients. Clin J Am Soc Nephrol 4:119-127, 2009
crossref pmid pmc
37. Tsujimoto R, Abe Y, Arima K, Nishimura T, Tomita M, Yonekura A, et al: Prevalence of lumbar spondylosis and its association with low back pain among community-dwelling Japanese women. BMC Musculoskelet Disord 17:4932016
crossref pmid pmc
38. Weishaupt D, Zanetti M, Boos N, Hodler J: MR imaging and CT in osteoarthritis of the lumbar facet joints. Skeletal Radiol 28:215-219, 1999
crossref pmid
39. Yu W, Glüer CC, Fuerst T, Grampp S, Li J, Lu Y, et al: Influence of degenerative joint disease on spinal bone mineral measurements in postmenopausal women. Calcif Tissue Int 57:169-174, 1995
crossref pmid
40. Zebaze RM, Libanati C, Austin M, Ghasem-Zadeh A, Hanley DA, Zanchetta JR, et al: Differing effects of denosumab and alendronate on cortical and trabecular bone. Bone 59:173-179, 2014
crossref pmid
41. Zhou X, Liu Y, Zhou S, Fu XX, Yu XL, Fu CL, et al: The correlation between radiographic and pathologic grading of lumbar facet joint degeneration. BMC Med Imaging 16:272016
crossref pmid pmc
Editorial Office
Department of Neurosurgery, Dankook University Hospital
201, Manghyang-ro, Dongnam-gu, Cheonan-si, Chungcheongnam-do 31116, South Korea
TEL: +82-41-550-7060   FAX: +82-41-550-7060   E-mail: spine1225@naver.com
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © The Korean Society of Peripheral Nervous System.                 Developed in M2PI