lumbar bone density
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2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Dejian Zhang ◽  
Yao Wu ◽  
Shengfei Luo ◽  
Fangyong Wang ◽  
Lizhuo Li

Purpose. To describe the characteristics of lumbar bone density in middle-aged and elderly subjects and explore whether there is a correlation between computed tomography (CT) values and the bone mineral density (BMD) T-scores of the lumbar vertebral cancellous bone. Methods. Forty-two subjects, including 25 males and 17 females, with a mean age of 56 years, who underwent BMD measurement and lumbar multislice spiral CT scan at the China Rehabilitation Research Center from January 2019 to December 2019 were selected. Dual-energy X-ray absorptiometry (DEXA) was applied to obtain the total BMD T-scores of the lumbar L1–L4 vertebrae. Results. The CT values decreased from L1 to L4 and were 145.91 ± 8.686 HU, 143.18 ± 8.598 HU, 137.39 ± 8.276 HU, and 135.23 ± 8.219 HU, respectively. The total CT value of L1–L4 was 140.43 ± 4.199 HU. The mean total BMD T-score of L1–L4 was −0.94. The CT values of the L1–L4 vertebrae were positively correlated with the total BMD T-scores of L1–L4 (r = 0.349, P < 0.001 ). The CT value of the left third of the same vertebrae was the highest, and there was a strong positive correlation between the regional CT value of the lumbar spine and the entire vertebra CT values (r > 0.7). Conclusion. The CT values of the lumbar spine can assist the measurement of the T-scores of lumbar BMD, which could aid in early opportunistic screening for osteopenia and preventing osteoporosis and vertebral compression fractures in middle-aged and elderly subjects. This trial is registered with ChiCTR2100049571.


2021 ◽  
Vol 21 (9) ◽  
pp. S196
Author(s):  
Yoshihiro Katsuura ◽  
Jonathan Elysee ◽  
Sachin Shah ◽  
Ananth Punyala ◽  
Bryan Ang ◽  
...  

2020 ◽  
Vol 49 (4) ◽  
pp. 20190481
Author(s):  
Takashi Nakamoto ◽  
Seina Hatsuta ◽  
Shotaro Yagi ◽  
Rinus Gerardus Verdonschot ◽  
Akira Taguchi ◽  
...  

Objectives: A new computer-aided screening system for osteoporosis using panoramic radiographs was developed. The conventional system could detect porotic changes within the lower border of the mandible, but its severity could not be evaluated. Our aim was to enable the system to measure severity by implementing a linear bone resorption severity index (BRSI) based on the cortical bone shape. Methods: The participants were 68 females (>50 years) who underwent panoramic radiography and lumbar spine bone density measurements. The new system was designed to extract the lower border of the mandible as region of interests and convert them into morphological skeleton line images. The total perimeter length of the skeleton lines was defined as the BRSI. 40 images were visually evaluated for the presence of cortical bone porosity. The correlation between visual evaluation and BRSI of the participants, and the optimal threshold value of BRSI for new system were investigated through a receiver operator characteristic analysis. The diagnostic performance of the new system was evaluated by comparing the results from new system and lumbar bone density tests using 28 participants. Results: BRSI and lumbar bone density showed a strong negative correlation (p < 0.01). BRSI showed a strong correlation with visual evaluation. The new system showed high diagnostic efficacy with sensitivity of 90.9%, specificity of 64.7%, and accuracy of 75.0%. Conclusions: The new screening system is able to quantitatively evaluate mandibular cortical porosity. This allows for preventive screening for osteoporosis thereby enhancing clinical prospects.


2008 ◽  
Vol 169 (2) ◽  
pp. 186-194 ◽  
Author(s):  
J. A. Hyder ◽  
M. A. Allison ◽  
N. Wong ◽  
A. Papa ◽  
T. F. Lang ◽  
...  

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S290
Author(s):  
Michelle M. Murphy ◽  
Rachel K. Evans ◽  
Bradley C. Nindl ◽  
Kathleen M. Sheehan ◽  
Charles M. Wade ◽  
...  

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S290
Author(s):  
Michelle M. Murphy ◽  
Rachel K. Evans ◽  
Bradley C. Nindl ◽  
Kathleen M. Sheehan ◽  
Charles M. Wade ◽  
...  

1999 ◽  
Vol 31 (Supplement) ◽  
pp. S137
Author(s):  
T. Videman ◽  
H. R??ty ◽  
U. Kujala ◽  
O. Impivaara ◽  
S. Sarna

1996 ◽  
Vol 6 (2) ◽  
pp. 171-177 ◽  
Author(s):  
G. Guaydier-Souquières ◽  
P. O. Kotzki ◽  
J. P. Sabatier ◽  
B. Basse-Cathalinat ◽  
G. Loeb

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