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Abstract #4018

Dependence of Quantitative MRI Indices on Age, Gender, and BMI in Healthy Thigh Muscles

Ke Li 1,2 , Richard D. Dortch 1,2 , E. Brian Welch 1,2 , Amanda K.W. Buck 1,2 , Theodore F. Towse 2,3 , Nathan D. Bryant 1,2 , Bruce M. Damon 1,2 , and Jane H. Park 4

1 Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 2 Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 3 4Physical Medicine and Rehabilitation, Vanderbilt University, Nashville, TN, United States, 4 5Molecular Physiology and Biophysics, Nashville, TN, United States

It is known that skeletal muscle deteriorates with aging. Therefore, age may introduce bias in longitudinal studies. In addition, gender, body-mass-index (BMI), and muscle fat content may introduce bias as well. In this work, the dependence of a number of quantitative MRI indices (T1, T2, pool size ratio, FA, ADC, and λ3) on these demographic factors was investigated in healthy muscles. For healthy subjects between the ages of 19 and 65, the only significant relationships observed were with muscle fat content.

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