• Journal of Yeungnam Medical Science
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• v.14 no.2
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• pp.383-392
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• 1997

To study the differences of bone mineral density according to the gestational ages and the birth weight and get a reference data for the diagnosis of metabolic bone diseases in the newborn infants, bone mineral densities of the lumbar vertebrae were measured in fifty-three newborn infants born at Yeungnam University Hospital from March 1, 1995 to February 28, 1997, whore gestational ages were between $28^{+3}$ and $41^{+3}$ weeks and who had no intrauterine growth retardation, using dual energy X-ray absorptiometry (X-R 26, Norland, USA) within seven days of life. 1. There was no sexual difference in bone mineral density. The bone density increased significantly as gestational age increased from $0.149{\pm}0.009g/cm^2$ at 28-30wks to $0.229{\pm}0.034g/cm^2$ at 39-41wks of gestational age (p<0.05), but there was no significant difference between bone mineral densities at 33-34 wks and 35-36wks. There was positive linear correlation between gestational age and bone mineral density ($Y=7.5{\times}10^{-3}X-0.082$, r=0.7018, p<0.001). 2. The bone mineral density increased significantly as the birth weight increased from $0.158{\pm}0.020g/cm^2$ in 1,000-1,499 g to $0.251{\pm}0.021g/cm^2$ in 3,500-4,000 g of the birth weight (p<0.05), but there was no significant difference between bone mineral densities in 1,000-1,499 g and 1,500-1,999 g of the birth weight. There was positive linear correlation between the birth weight and the bone mineral density ($Y=3.9{\times}10^{-5}X+0.093$, r=0.7296, p<0.001). There were positive correlations between the bone mineral density and gestational age, and between the bone mineral density and the birth weight. It can be used as a reference data for the further study on the bone mineral metabolism in the newborn infants including preterm babies.

• Journal of radiological science and technology
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• v.31 no.3
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• pp.259-266
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• 2008

Objective : The purpose of this study was to examine the relationship between bone mineral density (BMD) and the metabolic syndrome. Method : We conducted a cross-sectional study of 1204 adults(males: 364 females: 840) in a general hospital health promotion center. They were grouped into the normal and lower BMD group according to bone loss(osteopenia, osteoporosis), as determined by duel energy X-ray absorptiometery(DEXA). We analyzed the association between BMD and metabolic syndrome by multiple logistic regression analysis. After adjustment for age, weight, alcohol intake, smoking, regular exercise, regular intake of meals, and menopausal status, odds ratios for the prevalence of the metabolic syndrome by gender were calculated for lower BMD. Results : After adjustment for the effect of potential covariates, the prevalence of metabolic syndrome was associated with bone loss in men(p<0.001). If the odds ratio of normal group is 1.00, then that of the lower BMD group is 3.07(95% CI=1.83-5.16). The prevalence of metabolic alterations fitting the criteria of metabolic syndrome was significantly decreased in High BMI, Low HDL in men and in High BMI in women(p<0.05). Conclusions : This study shows that BMD was associated with metabolic syndrome. Further studies needed to obtain evidence concerning the association between BMD and metabolic syndrome.

• The Korean Journal of Nuclear Medicine Technology
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• v.16 no.2
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• pp.7-11
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• 2012

Purpose : The effect of concomitant use of $^{18}F$-FDG and intravenous contrast agent (CA) on dual-energy X-ray absorptiometry (DXA), was rarely reported. We had investigated these potentially confounding effects. Materials and Methods : Twenty-two patients had undergone DXA before and immediately after $^{18}F$-FDG PET/CT scans. Two DXA and 1 PET/CT scans had performed within one-day. $^{18}F$-FDG PET/CT scans had been performed with CA in 17 patients and without CA in 5 patients. Whole body bone mineral content (BMC), whole body bone mineral density (BMD), total fat mass (TFM), and lean body mass (LBM) were measured by DXA scanner before and after the $^{18}F$-FDG PET/CT scans. Results : BMC, BMD, TFM and LBM had significantly affected by $^{18}F$-FDG PET/CT with CA (BMC, +13.7%, from $2061.3{\pm}393.7$ to $2343.4{\pm}373.3$; BMD, +9.3%, from $1.07{\pm}0.09$ to $1.17{\pm}0.08$; TFM, -34.1%, from $17052.1{\pm}4049.9$ to $11237.1{\pm}2990.3$; LBM, +13.6%, from $45834.5{\pm}5662.1$ to $52094.0{\pm}6335.4$). However, $^{18}F$-FDG PET/CT without CA had no effect on the measurement of DXA (BMC, +2.4%, from $2197.7{\pm}391.6$ to $2251.5{\pm}380.9$; BMD, +1.8%, from $1.13{\pm}0.09$ to $1.15{\pm}0.07$; TFM, -6.8%, from $14585.6{\pm}3455.9$ to $13591.3{\pm}4351.4$; LBM, +2.2%, from $47360.5{\pm}8381.8$ to $48441.1{\pm}8488.1$). Conclusion : The measurements of DXA are affected by using CA. However, DXA scans might be unaffected by the presence of $^{18}F$-FDG administered for PET/CT.

• Journal of the Korean Society of Radiology
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• v.18 no.3
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• pp.187-201
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• 2024

Osteoporosis is a major health issue globally, often remaining undetected until a fracture occurs. To facilitate early detection, deep learning (DL) models were developed to classify osteoporosis using abdominal computed tomography (CT) scans. This study was conducted using retrospectively collected data from 3,012 contrast-enhanced abdominal CT scans. The DL models developed in this study were constructed for using image data, demographic/clinical information, and multi-modality data, respectively. Patients were categorized into the normal, osteopenia, and osteoporosis groups based on their T-scores, obtained from dual-energy X-ray absorptiometry, into normal, osteopenia, and osteoporosis groups. The models showed high accuracy and effectiveness, with the combined data model performing the best, achieving an area under the receiver operating characteristic curve of 0.94 and an accuracy of 0.80. The image-based model also performed well, while the demographic data model had lower accuracy and effectiveness. In addition, the DL model was interpreted by gradient-weighted class activation mapping (Grad-CAM) to highlight clinically relevant features in the images, revealing the femoral neck as a common site for fractures. The study shows that DL can accurately identify osteoporosis stages from clinical data, indicating the potential of abdominal CT scans in early osteoporosis detection and reducing fracture risks with prompt treatment.