Phillip Zhe Sun1, Yingkun Guo1,2, Iris Yuwen Zhou1, Suk-Tak Chan1, Yu Wang3, Emiri Mandeville4, Eng H Lo4, and Xunming Ji3
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China, People's Republic of, 3Cerebrovascular Diseases Research Institute, Xuanwu Hospital of Capital Medical University, Beijing, China, People's Republic of, 4Neuroprotection Research Laboratory, Department of Radiology and Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
Synopsis
Amide proton transfer (APT) MRI probes amide protons
from endogenous proteins/peptides, which has shown promising results in
defining tissue acidosis. pH MRI complements perfusion and diffusion MRI for
enhanced stratification of heterogeneous ischemic tissue injury. However, the
endogenous APT effect depends not only on pH but also on tissue water content,
MRI relaxation rates, and experimental conditions. There are also concomitant
RF irradiation effects including direct RF saturation, magnetization transfer
and nuclear overhauser effects (NOE). Our study evaluated magnetization
transfer and relaxation-normalized APT (MRAPT) MRI in an animal model of acute
ischemic stroke that enabled semiautomatic segmentation of graded ischemic tissue
injury.Purpose
Amide proton transfer (APT) MRI probes amide protons
from endogenous proteins/peptides, which has shown promising results in
defining acidosis, a surrogate metabolic biomarker during acute stroke
1,2.
Indeed, pH complements the widely-used perfusion and diffusion images for
enhanced stratification of heterogeneous ischemic tissue injury
3,4.
However, the endogenous APT effect depends not only on pH but also on tissue
water content, relaxation rates, and experimental conditions. Particularly, there
are concomitant RF irradiation effects including direct RF saturation,
magnetization transfer and nuclear overhauser effects (NOE)
5-7. Hence,
conventional in vivo APT analysis provides pH-weighted contrast, limiting its
specificity to tissue acidification. Our study evaluated Magnetization transfer
and water Relaxation-normalized APT (MRAPT) MRI in an animal model of acute
stroke for semiautomatic lesion segmentation.
Methods
Ten normal and ten
stroke rats were imaged (intraluminal MCAO model) at 4.7 Tesla. MRI (5 slices,
slice thickness/gap=1.8/0.2 mm, FOV=20x20 mm
2, image matrix=48x48)
was acquired with EPI. Briefly, diffusion MRI was obtained using isotropic DWI
(b= 250 and 1000 s/mm
2, TR/TE=3250/54ms). For pH-weighted APT MRI,
we set the recovery time to 5000 ms (TS1/TS2=4500/500 ms) for an RF irradiation
amplitude of 0.75 μT applied at ±3.5ppm and perfusion was quantified with ASL
MRI (TR/TE=6500/15 ms, NSA=32, TS=3250 ms, B1=4.7 μT). T1-weighted
images were acquired using inversion recovery EPI, with inversion delays
ranging from 250 to 3,000 ms (TR/TE=6500/15 ms, NSA=4); T2-weigthed
images were obtained with TE of 30 and 100 ms (TR=3250 ms, NSA=16).
Results
Fig. 1 shows the
association between R
1w, R
2w and mean MTR (MMTR) with pH-weighted
MTR
asym, per pixel. There was significant correlation between R
1w*MTR
asym
and R
1w (Fig. 1a), R2w (Fig. 1b) and MMTR (Fig. 1c). We
also evaluated multivariate regression to enhance the prediction of MTR
asym.
Notably, R
2w was no longer a significant predicator. We had R
1w*MTR
asym=-12.7%
+25.5%*R1w +51.6% *MMTR -112.1%*MMTR*R1w (Fig. 1d, R2=0.83,
P<0.001). When analyzed for all normal animals, R2 was found to
be 0.80 ± 0.07. Fig. 2 demonstrates minimization of intrinsic heterogeneity in
APT MRI with MRAPT algorithm. Fig. 2a shows conventional R
1w*MTR
asym
while Fig. 2b shows R
1w*MTR
asym estimated from MMTR and R
1w.
Fig. 2c shows the difference between experimentally measured and predicted R
1w*MTR
asym
map (ΔMRAPTR), which displays little heterogeneity between brain WM and GM. Indeed,
we calculated the CNR between striatum and cortex and found CNR for the
proposed ΔMRAPTR MRI was 0.43±0.51, substantially smaller than that of commonly
used R
1w*MTR
asym map, being 3.07±0.71 (P<0.01, paired
t-test). Fig. 3 evaluates the proposed MRAPT MRI in acute ischemic stroke rats.
Figs. 3a and 3b show T
1w and T
2w maps, respectively. CBF
map (Fig. 3c) and diffusion MRI (Fig. 3d) shows noticeable PWI/DWI
mismatch. Ischemic lesions were
determined with a threshold-based algorithm. Whereas the threshold-based
algorithm could not faithfully detect the ischemic lesion in MTR
asym
map due to the confounding intrinsic heterogeneity (Fig. 3e), the ΔMRAPTR map showed
improved lesion segmentation (Fig. 3f). Importantly, the lesion size decreased
in an order from PWI (297 mm3), pH or ΔMRAPTR (205 mm3) to
ADC lesions (157 mm
3). Moreover, MRAPT shows significant different
acidosis among PWI/pH mismatch, pH/DWI mismatch and ADC lesions, indicating
heterogeneous acidification within the ischemic lesion.
Discussion
Multivariate regression
analysis enables substantial reduction of intrinsic non-pH heterogeneity in pH-weighted
APT MRI. The MRAPT approach enables semiautomatic lesion segmentation,
demonstrating graded tissue acidification in the acute stroke setting for
refined tissue classification.
Acknowledgements
The study was supported by grant
from NIH/1R01NS083654.References
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