Taiyuan Liu1, Yan Bai2, Xiaolei Song3, Jinyuan Zhou3, Panli Zuo4, Benjamin Schmitt5, and Meiyun Wang2
1Henan Provincial People’s Hospital, Zhengzhou, China, People's Republic of, 2Zhengzhou, China, People's Republic of, 3Baltimore, MD, United States, 4Beijing, China, People's Republic of, 5Macquarie Park, Australia
Synopsis
To evaluate the value of length and offset varied saturation (LOVARS) in
the diagnosis of gliomas, and compared with amide proton transfer (APT),
We performed the study using LOVARS and APT imaging technique .And we found that
APT images is useful in
distinguishing low-grade and high-grade
glioma, while LOVARS phase images shows better contrast between glioma and peripheral
tissue, and the internal heterogeneous components of the
glioma.Purpose
To
evaluate the value of length and offset varied saturation (LOVARS)
1 in the diagnosis
of gliomas, and compared with amide proton transfer (APT).
Methods
A total number of 16 patients (5 females and 11 males; mean age, 51±12y)
with 12 high-grade and 4 low-grade gliomas confirmed pathologically were recruited in this study. All MR
imaging was performed on a 3.0 T MR scanner (MAGNETOM Trio, Siemens AG, Erlangen, Germany) with a 12-channel head coil. Axial and sagittal T1-weighted and T2-weighted
images were acquired for morphological analysis. APT and LOVARS imaging were
performed using a prototype 3D GRE CEST sequence with TR/TE of 1620/2.87 ms, FA
of 12, slice thickness of 5 mm, FOV of 256´256 mm2, and matrix of 128´128. For APT imaging, 4 saturation RF pulses with the
power of 3.0 mT were given at 21 frequency offsets between ±5 ppm. The magnetization transfer asymmetry at ±3.5 ppm was used for calculation of ATP images. For LOVARS imaging, 2 and 5
saturation RF pulses with the power of 2.0 mT were given at ±3.5 ppm for 3 cycles. The LOVARS phase images were
calculated by the FFT of the oscillation signals. ROIs were placed in the area
of solid tumor component with avoid of the areas of hemorrhage, necrosis,
cystic component, edema and calcification to measure the singles intensity in
APT . According to the feature of the gliomas in conventional MRI, the characteristic
in LOVARS phase images was described and compared with APT images.
Results
Figure 1
showed the example cases of conventional MRI, APT and LOVARS phase images in a
low-grade and a high-grade glioma. In the the low-grade glioma, APT did not
show significant differences between tumor area and background tissues (P >0.05), but showed high single
intensity in the tumor area in high-grade glioma (P <0.001). The signal intensity in high-grade glioma is higher
than in low-grade glioma in APT images (P
<0.01). In LOVARS phase images, both low-grade and high-grade showed higher
signals in tumor area than the background tissues (P <0.05), and there was no significant difference between the
signal intensities in low-grade and high-grade tumors. However, in LOVARS phase
images, the inhomogeneity signals in the areas of hemorrhage, necrosis, and
edema was helpful to further evaluate the glioma.
Discussion
In
this study, we compared APT and LOVARS in the diagnosis of glioma. Quantitative
analysis showed that the value in tumor areas is significant different between
low and high grade glioma in APT images, but has no difference in LOVARS phase
images. These results indicated that APT image has more value in distinguishing low and high grade glioma. LOVARS
phase images showed significant higher signal in gliomas than peripheral tissue,
and also the heterogeneous internal components of the glioma was showed as
inhomogeneous signals, which represented the different pathological areas, such
as hemorrhage, necrosis, cystic component, edema and calcification. Thus, by
combining APT and LOVARS MR imaging together, the diagnosis accuracy of glioma
would be increased.
Conclusion
APT images is useful in
distinguishing low-grade and high-grade
glioma, while LOVARS phase images shows better contrast between glioma and peripheral
tissue, and the internal heterogeneous components of the
glioma.
Acknowledgements
No acknowledgement found.References
1.Xiaolei Song, Assaf A. Gilad,Suresh Joel,et al. CEST phase mapping using a Length and Offset VARied Saturation (LOVARS) scheme .Magn Reson Med. 2012 October ; 68(4): 1074–1086.