• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.1
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• pp.118-123
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• 2013

This study was performed from April, 2007 to August, 2012 with female patients who were being treated for and suffering from chronic lumbar pain for periods of 6 months and over. The 53 female patients were diagnosed with osteoporosis by having a T-Score of <-2.5 in a bone mineral density(BMD), as well as showing signs of metabolic syndrome. This was deduced by taking measurements of blood pressure, carrying out blood-chemical examinations and physical measurements such as weight, height, waist measurement and body mass index(BMI). After 5 minutes rest, the patient's blood pressure, height and weight were measured. BMI was calculated using the equation BMI = weight (Kg)/height ($m^2$). The patients had their blood taken in a fasted state(more than 12hours), the fasting blood sugar, total cholesterol, triglyceride, HDL-cholesterol were measured. The average BMD and T-score were calculated by measuring BMD(mg/cc) of L1-L3 using QCT. In a correlation analysis of the physical examinations, clinical character of metabolic syndrome and T-score, the result showed that age and T-score had a negative correlation(r=-0.699, p<0.01) as did triglyceride and T-score (r=-0.047, p<0.01), where as weight(r=0.239, p<0.05) and height(r-=0.329, p<0.01) and T-score had a positive correlation. There was no significant correlation with total cholesterol, HDL cholesterol, blood sugar, blood pressure and T-score. This study showed that there are significant correlations with age, weight, height and T-score. But there are no significant correlations with total cholesterol, HDL cholesterol, blood sugar, blood pressure and T-score and that these did not influence bone density. Further research with more subjects is required to determine whether there is a correlation of clinical character of metabolic syndrome and T-score.

• Korean Journal of Acupuncture
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• v.31 no.3
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• pp.99-107
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• 2014

Objectives : This study was designed to analyze correlation in deficiency syndrome of kidney index and bone mineral density(BMD) in 130 osteoporosis patients. Methods : 130 women who were over 50 years old and visited in Department of Acupuncture & Moxibustion Medicine, Cheonan Oriental Hospital of Daejeon University from January 1, 2012 to December 31, 2013, answered the questionnaire consisting of symptom of deficiency syndrome of kidney, to determine the deficiency syndrome of kidney Index(DSKI). Grade of low back pain were measured in the visual analogue scale(VAS). BMD of the patients were determined by quantitative computerized tomography(QCT). Then, DSKI with BMD, VAS and age were analyzed by correlation analysis, variance analysis and Kruskal-Wallis test. Results : 1. Between DSKI and BMD, patients in total and in-their-50's group did not show a statistically significant result, but in-their-60's group and over-70 group showed a statistically significant result by correlation analysis. 2. Between DSKI and VAS, groups in total, in-the-50's, 60's, and over-70 groups showed a statistically significant result by correlation analysis. Conclusions : DSKI and BMD of the patients group who are over 60, DSKI and VAS of the patiens over 50 years old were associated with each other.

• Imaging Science in Dentistry
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• v.31 no.2
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• pp.85-91
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• 2001

Purpose: To evaluate the effect of the slice thickness and the size of region of interest (ROI) on CT number using quantitative CT phantom Materials and Methods: The phantom containing 150 mg/cc, 75 mg/cc and 0 mg/cc calcium hydroxyapatite was scanned with 1, 3, 5 and 10 mm slice thicknesses by single energy quantitative computed tomography (QCT). CT numbers were measured on center position of the phantom. Shape of ROI was circular and sizes were 1, 3, 5, 11, 16, 21, 26 and 33 mm². ANOVA and Tukey's multiple comparison method were performed for statistical comparison of CT numbers according to different slice thicknesses. Coefficient of variation of CT number measured in each size of ROI was evaluated in same slice thickness. Results : CT numbers had statistically significant difference according to slice thicknesses (p<0.05). As the slice thickness increased, CT number also increased. As the density of phantom became lower and the size of ROI became smaller, the coefficient of variation of CT number increased. When the size of ROI was more than 11 mm² in 1 mm slice thickness, 5 mm² in 3 mm slice thickness and 3 mm² in 5 mm slice thickness, the coefficient of variation became consistent. In 10 mm slice thickness, the size of ROI had little effect on the coefficient of variation. Conclusion: CT number had variation according to the slice thickness and the size of ROI although the object was homogeneous. The slice thickness and the size of ROI are critical factors in precision of the CT number measurements.

• Journal of the Korean Society of Radiology
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• v.4 no.2
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• pp.5-11
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• 2010

The purpose of this study is to compare and analyze the bone mineral content of women who went through osteoporotic menopause and that of women who are healthy. For the purpose, this researcher sampled some women and divided them into three groups. Group 1 consisted of women who were pre-menopausal and healthy, group 2, women who were post-menopausal and health and group 3, women who went through osteoporotic menopause. The researcher measured the bone density of all the subjects and compared its difference among the three groups. Then the researcher compared and analyzed the influences of bone density on the spine among women of each group or those of all the groups. Among all regions of the spine, that of most region was spongiosa which was ovally shaped. The researcher measured the bone mineral content of spongiosa which existed in a particular section of the spine between T12 and L4. Findings of the study can be summarized as follows. The older women were, the lower their bone density was. Especially, women who had osteoporosis were significantly lower in bone density than those who were healthy. In all women, except those of group 1, bone density more and more lowered as the measured region of the spine gradually moved from T12 to L4. From a statistical view, the bone density of the entire vertebral body could discriminate the groups 1, 2 and 3. But it was not possible to discriminate between the groups 2 and 3 only with the bone density of the most interested region as mentioned above.