Correlation between bone metabolism by radionuclide bone imaging and bone mineral density

LOU Jing-jing; ZHANG Yi-fan; LIU Jiang; DONG Ke

Journal of China Clinic Medical Imaging ›› 2013, Vol. 24 ›› Issue (11) : 801-804.

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Correlation between bone metabolism by radionuclide bone imaging and bone mineral density

LOU Jing-jing1, ZHANG Yi-fan2, LIU Jiang1, DONG Ke1

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Abstract

Objective: To study the correlation between bone metabolism through radionuclide bone imaging and bone mineral density(BMD) by bone density scanning to provide valuable information about the status of osteoporosis. Methods: Eighteen patients, 5 male and 13 female, age ranged from 50 to 88 years old with an average of 65 years old were included in this study. All of the patients underwent a bone density scanning(GE Lunar DXA) for bone density estimation, SPECT whole-body bone scan(GE Infinia Hawkeye, 4) were performed. The region of interest(ROI) was separately put at 1st~4th lumbar vertebrae and femoral neck for radioactivity absorption examination and also BMD measurement. The ROI ratio was the detected part ROI value divided by the respective ipsilateral middle femur shaft ROI value. Correlation analysis between bone metabolism and bone density were carried out. Results: The ROI ratio of L1~L4 bone radionuclide scintigraphy and BMD had significant correlation. The ROI ratio of the normal group and osteoporotic group also had significant correlation with that of the BMD. The ROI ratio of the femoral neck had no significant correlation with that of the BMD. The changes of ROI ratio of L1~L4 had the same trend as that of the BMD of the respective region. Conclusion: The ROI ratio of the lumbar vertebrae through radionuclide bone sctintigraphy has significant correlation with that of BMD, therefore can be used as estimation of BMD.

Key words

Osteoporosis / Bone density / Radionuclide imaging

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LOU Jing-jing;ZHANG Yi-fan;LIU Jiang;DONG Ke. Correlation between bone metabolism by radionuclide bone imaging and bone mineral density[J]. Journal of China Clinic Medical Imaging. 2013, 24(11): 801-804