Semi-automated approach in the evaluation of low bone mass using clavicle radiogrammetry technique

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Abstract

Background: Low bone mineral density increasing with age is a universally observed phenomenon. This leads to osteoporosis, which is a regressive change that occurs in the bone and it is diagnosed before the occurrence of fractures. The dual energy x -ray absorptiometry (DXA) is considered to be the standard measurement for the detection of bone mineral density (BMD). Objectives: To measure the various bone mass indices in the clavicle bone by radiogrammetric method from a posterior-to-anterior (PA) view of chest digital X-ray using semi- automated method. Methods: Forty women whose mean age was found to be 46.05±15.53 years were included in this study. For the total population (n=40), the right femur BMD was acquired by DXA scanner. The digital chest radiographs were taken for all the subjects. In all cases, the geo-metrical variables such as periosteal width (CLR-D), endosteal width (CLR-d), cortical thickness (CLR-CT) and percentage cortical thick-ness %(CLR-CT) were measured in the right clavicle bone region by semi-automated method approach developed in MATLAB software. Results: The CLR-CT (r=0.77) as well as with % CLR-CT (r=0.72) has provided statistically significant correlation (p < 0.01) with the total hip BMD in the total population studied. The pre-menopausal and post-menopausal of the studied population demonstrated a high significance value of (p < 0.01). Conclusion: The semi-automated measurement of low bone mass indices in clavicle radiogrammetry will be useful in the evaluation of low bone mass in post-menopausal women and elderly aged population. This method can be used as a screening tool for mass popula-tion, especially in rural India.

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Snekhalatha, U., Ashok Kumar, D., & Padmajavasan. (2018). Semi-automated approach in the evaluation of low bone mass using clavicle radiogrammetry technique. International Journal of Engineering and Technology(UAE), 7(2), 169–174. https://doi.org/10.14419/ijet.v7i2.8.10352

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