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

  • Authors

    • U Snekhalatha
    • D Ashok Kumar
    • Padma javasan
    2018-03-19
    https://doi.org/10.14419/ijet.v7i2.8.10352
  • Bone Mineral Density, Osteoporosis, Clavicle Radiogrammetry, Cortical Thickness.

  • 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 geometrical variables such as periosteal width (CLR-D), endosteal width (CLR-d), cortical thickness (CLR-CT) and percentage cortical thickness %(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 population, especially in rural India.

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  • How to Cite

    Snekhalatha, U., Ashok Kumar, D., & javasan, P. (2018). Semi-automated approach in the evaluation of low bone mass using clavicle radiogrammetry technique. International Journal of Engineering & Technology, 7(2.8), 169-174. https://doi.org/10.14419/ijet.v7i2.8.10352

    Received date: 2018-03-19

    Accepted date: 2018-03-19

    Published date: 2018-03-19