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Vertebral Bone Marrow Perfusion Evaluated with Dynamic Contrast-enhanced MR Imaging: Significance of Aging and Sex1

Wei-Tsung Chen, MD, Tiffany Ting-Fang Shih, MD, Ran-Chou Chen, MD, Shin-Yan Lo, MD, Chen Te Chou, MD, Jiunn-Ming Lee, MD and Hsing-Yang Tu, MD

1 From the Department of Radiology, Taipei Municipal Jen-Ai Hospital, Taipei, Taiwan (W.T.C., R.C.C., C.T.C., J.M.L., H.Y.T.); the Department of Radiology, National Taiwan University, Medical College and Hospital, No. 7 Chung-Shan S Rd, Taipei 100, Taiwan (T.T.F.S.); and the Department of Radiology, Taipei Municipal Chun-Shau Hospital, Taipei, Taiwan (S.Y.L.). Received September 29, 2000; revision requested November 14; final revision received January 29, 2001; accepted February 26. Address correspondence to T.T.F.S. (e-mail: ttfshih@ha.mc.ntu.edu.tw).



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  		Figure 1. MR image in a 66-year-old man (group 2 patient) with chronic back pain. The midsagittal plane of the spine was used to evaluate the blood perfusion of vertebral bodies with a section thickness of 10 mm. Imaging parameters were 4/1.5; prepulse inversion time, 400 msec; flip angle, 15°; and acquisition matrix, 179 x 256. The ROI was defined by the black thin line, which covered the entire vertebral body starting from the subchondral bone inside the cortex. ROIs at three levels from T10 to L5 were randomly chosen for each patient before the signal intensity measurement was started.

 


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  		Figure 2. Time-intensity curve of vertebral bone marrow perfusion data from dynamic contrast-enhanced MR study. Signal intensity of the vertebral body was measured from 160 images obtained in 80 seconds and plotted against time. SIbase = mean signal intensity of the base line, SImax = peak enhancement value with the first pass of contrast medium, Trise = time between SIbase and SImax.

 


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  		Figure 3. Scatterplot and linear regression line for vertebral bone marrow perfusion and age data in male and female subjects in groups 1 and 2. Natural logarithm transformation was calculated for the peak percentage on the y axis; a represents age in the following equations. For the male subjects, ln(y) = 4.2 - 0.017a, r2 = 0.27, P = .01. For the female subjects, ln(y) = 5.89 - 0.04a, r2 = 0.39, P = .01. Data derived from linear regression ({blacktriangleup}) and data from measurement ({circ}) are shown.

 




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