Jinghua Wang1, Mark Smith2, and Lili He3
1The Ohio State University, Columbus, OH, United States, 2Radiology, Nationwide Children’s Hospital, Columbus, OH, United States, 3Center for Perinatal Research, Nationwide Children’s Hospital, Columbus, OH, United States
Synopsis
Gadolinium
based contrast agents decrease T1 times in pathologic regions of the
brain and improve image contrast and lesion visualization with increased
sensitivity and specificity. Magnetization
Prepared Rapid Gradient Echo (MPRAGE) sequence offer thinner slices, near
seamless reformatting options, and lower specific absorption rates than 2D
spin-echo based technique. In this
study, we optimize MPRAGE sequence using computer simulation to improve brain
tumor enhancement and detection. Compared
with a Siemens default MPRAGE sequence, our optimized protocol greatly shortened scan time by around
60% without sacrificing tumor delectation sensitivity.PURPOSE:
Gadolinium based contrast agents (GBCA’s)
decrease T1 times in pathologic regions of the brain where there is
disruption of the blood-brain barrier; hence these regions appear brighter on
T1-weighted scans. This improves image contrast
and lesion visualization with increased sensitivity and specificity [1]. Around 30–40% of clinical MR applications have
applied contrast agent, including intravenous injection of GBCA’s for brain tumors [2]. 3 dimensional fast gradient echo sequences such as MPRAGE
offer thinner slices, near seamless reformatting options, and lower specific
absorption rates than 2 dimensional spin-echo based technique. In clinical practice, contrast-enhanced (CE)
magnetic resonance imaging (MRI), is performed with either spin-echo or
gradient-echo T1-weighted sequences, and there has been controversy
regarding which sequence is better in detecting brain tumor [3-6]. In our opinions, the lack of using optimized
sequences in the comparison for brain tumor detection caused this controversy. The purpose of our study is to optimize MPRAGE
sequence using computer simulation to improve brain tumor enhancement and detection. we compare its performance with that of a Siemens
default MPRAGE sequence after Gadavist administration at 3.0T.
METHOD
Simulation: We simulated contrast efficiencies
between CE tumor tissue and normal white matter (WM) (CE tumor-WM), using
Bloch’s equation, based on the values of T1, T2, and
proton density of the WM, GM and Gadavist enhanced tumor tissue at 3.0 T: 1400/850/250 ms, 100/90/180 ms, and 0.75/0.65/1.0, respectively [7, 8].
In vivo experiment: Four subjects
with brain tumor were scanned on a 3T Siemens Skyra
scanner that was equipped
with a 32-channel head coil. All subjects were scanned pre and post contrast administration
of 0.1 mmol/kg Gadavist. Brain images were
obtained using MPRAGE sequence with FOV 256 x 232 mm2, matrix 256 x
232, number of slices 160, slice thickness 1 mm. Our optimal imaging
parameters: TI 450 ms, Flip angle (FA) 19o, TR 1350 ms, total scan
time (TA) 2min and 40s. Siemens default
imaging parameters: TI 900, FA 8o, TR 2300 ms, and 6min and 9s.
Evaluation: (1) The performance of the optimization was then
evaluated using contrast efficiency of CE tumor-WM in post-contrast images, which were defined as contrast per square root of TA (second), CNeff = Contrast /
(TA^0.5)
;
and (2)
The percentage of pre-contrast (pre) and post-contrast (post) signal intensity (SI) alteration in the region of tumor
lesion due to enhancement, which was denoted as β ratio; β=100%x(SI(post)-SI(pre))/
SI(pre).
RESULT
Fig. 1 show in vivo brain images acquired with MPRAGE
sequence after the administration of Gadavist. Visually, the size of enhanced
lesion looked more or bigger in the images acquiring using our optimized MPRAGE
sequence (Fig.1b) than those
acquired by Siemens default MPRAGE sequence (Fig. 1a). Further quantitative
analysis in Table 1 indicated that (1) The size of detected enhanced tumor
using our optimal protocol is 4% more than that using Siemens default’s
protocol. This implies that our
optimized protocol may increase the detection sensitivity for tumor lesion; (2)
β ratio produced by our protocol was 326% which was comparable to that of 328% produced
by Siemens default protocol. However, the
scan time of our protocol was just about 40% of that of Siemens default
protocol. It implied that our optimization increased scan efficiency without
sacrificing the detection accuracy; (3)
Our protocol improved CE tumor-WM contrast efficiency by 64%. It showed a great potential in the use of low
dose contrast agent for detecting tumor lesion.
The computer simulation in Fig. 2
indicated that the optimal FA and TI are 19o
and 450 ms, respectively. The simulation
also suggested that our optimal protocol would improve 80% CE tumor-WM contrast
efficiency, compared with Siemens default protocol. The simulation is in agreement with in vivo experiments.
DISCUSSION AND CONCLUSION
Potential reasons why
there have been inconsistent in the evaluation of MRI protocols for brain tumor
detection may include: (1) lack of sequence optimization; (2) use of improper MRI properties (T1, T2
and proton density) for different brain tumor types; (3) ignorance of the
effect of contrast agent lifetime/transmit time ; (4) inconsistent evaluation
metrics.
In this study, we optimized CE MPRAGE sequence to improve the detection of brain tumor. Our optimized protocol greatly shortened scan
time by around 60% without sacrificing tumor delectation sensitivity. The proposed
optimization methodology and obtained results have a great potential in
clinical applications. As a practical
guideline, the optimal CE MPRAGE protocol after Gadavist administration is: TI
450 ms, FA 19o and TR 1350 ms.
Acknowledgements
No acknowledgement found.References
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