Yan RH, Xiao EH, Liang B. Technology of in vivo two-dimension multi-voxel
1H magnetic resonance spectroscopy for rabbit liver VX2 tumor.
Shijie Huaren Xiaohua Zazhi 2008;
16:613-620. [DOI:
10.11569/wcjd.v16.i6.613]
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Abstract
AIM: To investigate the best techniques of in vivo two-dimension multi-voxel 1H magnetic resonance spectroscopy (2D 1H-MRS) for rabbit liver VX2 tumor.
METHODS: The liver of 8 New Zealand white rabbits was implanted directly and respectively with VX2 tumor lump after abdominal cavity was opened. 2D 1H-MRS acquisition in vivo and unenhanced MRI was performed respectively from the 2nd week to 4th week after VX2 tumor was implanted. With knee coil, in vivo 2D 1H-MRS acquisitions were performed respectively with different TR, different TE and different NEX at 1.5 T MR scanner when other parameters were the same. The distinction between groups was analyzed by SPSS11.0 with baseline and signal-noise ratio (SNR).
RESULTS: From the qualified MRS spectrum, there were up to 6 peaks which could be identified: methyl lipids (Lip1), methylene lipids (Lip2), methylene lipids with double carbon bond (Lip3), glutamine and glutamate complex (Glx), Choline (Cho), and glycogen and glucose complex (Glyu). Baseline and SNR had no significant differences between TR = 1000 ms, 2000 ms and 3000 ms. Baseline had no significant difference between TE = 30 ms and 144 ms. Except that SNR of Glx with 30 ms in TE was higher than that with 144 ms in TE (1.95 ± 0.36 vs 1.24 ± 0.26, P < 0.05), SNR of other metabolites were similar. With NEX increasing, the distinctions of baseline between NEX = 4, 8 and 16 were significant (χ2 = 10.000, P < 0.01). SNR of all metabolites increased when NEX was increased gradually. Both of baseline and SNR were the best when NEX was 16.
CONCLUSION: It's practical of in vivo two-dimension multi-voxel 1H-MRS on the rabbit liver VX2 tumor by a 1.5 T MR scanner. Immobilization, pre-scan (reaching FWHM ≤ 10 Hz and WS ≥ 98%), knee coil, TR = 1000 ms, TE = 30 ms and NEX = 16 may be the best to acquire highly qualified spectra.
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