Jin Zhang1, Willis Chen1, Kerryanne Winters1, and Sungheon Gene Kim1
1Center for Advanced Imaging Innovation and Research (CAI2R), Dept. Radiology, NYU School of Medicine, New York, NY, United States
Synopsis
Active Contrast Encoding MRI (ACE-MRI) is a
recently proposed method to conduct DCE-MRI experiment without the need to
perform separate T1 and B1 measurement. The purpose of
this study is to further investigate the feasibility of using the ACE-MRI
method for evaluation of tumor treatment response in a mouse model of breast
cancer. The results of the ACE-MRI method were compared with conventional
DCE-MRI data analysis with separately measured T1 maps. Our
preliminary results demonstrate that the ACE-MRI method can be used to evaluate
tumor treatment response reliably.
Purpose
T1-weighted dynamic contrast
enhanced magnetic resonance imaging (DCE-MRI) has been widely used to probe
tumor microenvironment using kinetic model parameters, such as transfer
constant Ktrans and extracellular space volume fraction ve,.
Quantitative analysis of DCE-MRI data using a contrast kinetic model requires
separate measurement of pre-contrast T1 and RF transmit field B1.
Recently, an alternative approach, referred to as Active Contrast Encoding MRI
(ACE-MRI), was introduced to eliminate the need to perform separate T1/B1
measurement. ACE-MRI actively encodes the slow washout phase of post-contrast
time-intensity curve using multiple flip angles and TRs which give different T1
and B1 weighting on the signal intensity. It was demonstrated that
such actively-encoded time-intensity curves can be used to estimate T1
and B1 which then can be used for subsequent contrast kinetic model
anlaysis. The purpose of this study is to further investigate the
feasibility of using the ACE-MRI method for evaluation of tumor treatment
response in a mouse model of breast cancer. The results of the ACE-MRI method
were compared with conventional DCE-MRI data analysis with separately measured
T1 maps.Methods
4T1 breast cancer tumor cells were injected
into the flank of six-eight week old BALB/c mice (n=6, female) under
anesthesia. Each mouse was scanned twice; first at post injection day 10~13 for
pre-treatment and second scan 2 days after treatment. For the treatment group
(n=3), pre-treatment MRI was followed by bevacizumab (10mg/kg) on the first day,
5FU (80mg/kg) on the second day, and post-treatment MRI on the third day. The
control group (n=3) was treated with sodium chloride solution (0.01ml/g)
on the first day and the second day along with the two MRI scans at the same
time points as the treatment group. A 7T horizontal bore magnet with a volume
transmit and receive coil was used. General anesthesia was induced by 1.5%
isoflurane in air. The animals were mounted on a cradle with respiratory and
temperature monitoring probes.
Data Acquisition: A 3D FLASH sequence was used to minimize the flow effect
(TR/TE=12 and 3.83ms, image matrix = 100x66x9, resolution = 0.15x0.15x1 mm3).
This sequence was run to acquire 78 3D images for about 10 min with multiple
flip angles (10o, 20o, 5o, 10o, 30o,
2o, 10o, 80o(TR=100ms), 10o) and
different number of repetitions (40, 5, 5, 5, 5, 5, 5, 3, 5). Temporal
resolution was 5.4s for small flip angles and 45s for 80o flip
angle. A bolus of 10 mM Gd-DTPA in saline, corresponding to dose 0.1 mmol/kg,
was injected through a tail vein catheter, starting 1 min after the acquisition
of pre-contrast images. T1 was separately measured using RARE-VTR sequence
available on the Bruker system.
Data Processing: For ACE-MRI, B1
and pre-contrast T1 were estimated from the washout region of the
ACE-MRI curve as described in previous studies.1,2 Tofts model3
was used to estimate Ktrans and ve with the estimated T1/B1.
For conventional DCE-MRI analysis, the data collected with the baseline protocol
(flip angle 10o) were used, together with independently measured pre-contrast
T1 (B1 assumed to be 1). Arterial input function was
generated with a reference tissue approach4 with assumed muscle
parameters Ktrans=0.11 min-1
and ve=0.20. Results
Figure 1 shows a representative AIF function
and ACE-MRI time-intensity curve which shows step changes in the washout phase due
to active encoding of T1 and B1. Figure 2 shows tumor
treatment response in terms of initial area under the curve (IAUC) for the six
mice with the manually selected tumor ROI. Each tumor ROI was eroded by 4
pixels to generate a smaller ROI for the tumor core region. The regions in
between whole ROI and core ROI are assumed to be tumor rim. It is noticeable
that the treatment induced increase of IAUC in the core region for treated
group. Figure 3 shows comparison of the contrast kinetic parameters, Ktrans
and ve, between ACE-MRI and DCE-MRI. Overall, the kinetic parameters
estimated by ACE-MRI match well with those by DCE-MRI with separate T1
measurement. Figure 4 shows comparisons of the Ktrans values
measured by both methods. Signed rank tests showed no significant difference
between the kinetic model parameters measured by ACE-MRI and DCE-MRI.Discussion and Conclusion
Our
preliminary results demonstrate that the ACE-MRI method can be used to evaluate
tumor treatment response without the need to measure T1 and B1
separately. Future study is warranted to investigate the tumor treatment
evaluation using ACE-MRI for larger cohort animals along with histological
validation. Acknowledgements
NIH 1 R01 CA160620 / NIH P41 EB017183References
1.Zhang J,
Kim SG. Simultaneous measurement of pharmacokinetic model parameters and T1/B1 using
Active Contrast Encoding MRI. ISMRM 2014
2.Zhang J, Winters K, Kim SG. In vivo
cross-validation study of contrast kinetic model analysis with simultaneous B1/T1 estimation.
ISMRM 2015
3.Tofts PS, Brix G, Buckley
DL, et al. Estimating kinetic parameters from dynamic contrast-enhanced
T1-weighted MRI of a diffusable tracer: standardized quantities and symbols.
J Magn Reson Imaging 1999;10(3):223-232.4.
4.Kovar DA, Lewis M, Karczmar GS. A
new method for imaging perfusion and contrast extraction fraction: input
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1998;8(5):1126-1134.