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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