Yue Qin1, Xin Li1, Yinhu Zhu1, Dayong Jin1, Yifan Qian1, Juan Tian1, Liyao Liu1, Yanqiang Qiao1, and Shaoyu Wang2
1XIAN DAXING HOSPITAL, Xi'an, China, 2MR Scientific Marketing, Siemens Healthineers, Xi'an, China
Synopsis
Magnetic resonance angiography (MRA) is increasingly used as a
non-invasive method to assess carotid arteries. TOF-MRA, because it is
dependent on the flow of magnetized blood into the volume being imaged, is
highly susceptible to conditions that disrupt laminar flow. Depiction of the carotid region using Silent imaging was often superior to
that obtained with conventional techniques, where the ultrashort TE
minimized flow-related signal dropout. This study aimed to evaluate the feasibility
of PETRA-MRA in imaging the vascular structures of the extracranial carotid
arteries. We found that
PETRA-MRA showed significantly higher image quality and better visualized
extracranial carotid arteries.
Introduction
Atherosclerosis
affecting the cervical internal carotid artery (ICA) is an important cause of
cerebral infarction, being responsible for 10% to 20% of cases of ischemic
stroke[1].
TOF-MRA is a nonenhanced
MRA technique which relies on the movement of magnetized blood through the
volume being imaged. TOF-MRA is susceptible to degradation by turbulence and
slow flow, which disrupt the smooth linear flow of blood through the vessel
itself. Pointwise encoding time
reduction with radial acquisition (PETRA)-MRA is a silent imaging method which
using ultrashort TE
technique, has good signal homogeneity , good signal to noise ratio (SNR),
fewer susceptibility artifacts, and less acoustic noise[2-3]. Based
on those intrinsic principles of PETRA sequence, our study aimed to evaluate
and compare the imaging ability about extracranial
carotid arteries
vascular structure using PETRA-MRA and TOF-MRA.Subjects and methods
Twenty-six
healthy participants (13 male, 13 female; mean age, 37 years; age range, 24–51
years) were recruited in this study. All the subjects underwent 3D-TOF-MRA and PETRA-MRA
examination on a 3 T MR scanner (Magnetom Prisma, Siemens Healthcare, Erlangen,
Germany) with a 64ch head-neck coil . 3D-TOF-MRA
was performed in an axial orientation with the following parameters: repetition
time (TR)/echo time (TE) = 20.00/3.60ms, flip angle = 18°,field of view (FOV) =
189 × 320 mm2, bandwidth = 279Hz/Px, slice thickness = 0.75 mm,
slabs = 9, slices per slab = 44,acquired voxel size = 0.78 × 0.63 × 1.50 mm3
and acquisition time (TA) = 5 min 52 s, flow compensation was applied. PETRA-MRA
was performed in the coronary orientation with the parameters as follows: TR/TE =
5.00/0.07ms, flip angle = 6°, FOV = 320 × 320 mm2, bandwidth = 395 Hz/Px,
slice thickness = 0.91mm, slab = 1, slices per slab = 352, acquired voxel size
= 0.91 × 0.91 × 0.91mm3 and radial views number = 66,000. As
PETRA-MRA was subtracted from two imaging datasets with and without the
slice-selective saturation slab, scanning time for PETRA-MRA was 5 min 51 s about
data without the saturation band and 8 min 30 s about data with the saturation
band, which was placed at the bottom of the imaging volume.
Statistical
analysis was performed using SPSS software (version 19.0, IBM Corp.,
Armonk, NY, USA). The measurement data were expressed as mean ± standard
deviation (SD). The statistical differences in the subjective image
quality scores between PETRA-MRA and 3D-TOF-MRA were analyzed and compared
using the Wilcoxon signed rank test. The paired t-test was applied to analyze differences
in SNR and CNR. P < 0.05 was considered statistically significant.
Interobserver agreement was assessed by calculating the Cohen kappa statistic.
The
original source images and MIP images were all reviewed by two radiologists who
assessed image quality affected by flow dephasing artifacts in the extracranial
carotid arteries segments by using a 4-point scale[4]: 1, no signal
loss; 2, mild signal loss; 3, moderate signal loss that could meet diagnostic
demand; and 4, severe signal loss that could not meet the diagnostic
requirement. Meanwhile signal-to-noise ratio (SNR,
SNR=SIArtery/SDAir) and
contrast-to-noise-ratio (CNR, CNR= (SIArtery/SITissue)/SDAir)
were also calculated. Inter-observer agreement between the two radiologists was
assessed.Results
The image quality was higher in PETRA-MRA compared with 3D-TOF-MRA with
significant difference (the mean scores for PETRA-MRA of
readers 1, 2 were 4.82±0.44, 4.86±0.35, respectively; for 3D-TOF-MRA were 4.61±0.53, 4.51±0.58, respectively) (P < 0.01).
The paired t-test showed significant variance results between 3D-TOF-MRA
and PETRA-MRA. The SNRs of right CCA comparison were: (12.3±5.2) of TOF-MRA and (27.6±7.9) of PETRA-MRA (P < 0.001). The SNRs of right ICA comparison were: (26.5±
5.9) of TOF-MRA and (38±9.5) of PETRA-MRA (P < 0.001). The SNRs of right ECA comparison were: (18.9±
7.2) of TOF-MRA and (40.9±8.6) of PETRA-MRA (P < 0.001). The CNRs of right CCA comparison were: (10±4.5) of TOF-MRA
and (26.8±7.3) of PETRA-MRA (P < 0.001). The CNRs of right ICA comparison were: (22.2± 7.6) of TOF-MRA and (41.7±11.5)
of PETRA-MRA (P < 0.001). The CNRs of right
ECA comparison were: (15.8± 6.2) of TOF-MRA and (40.3±12.6) of PETRA-MRA (P
< 0.001).
The SNR and CNR of both side of extracranial carotid arteries showed
significantly higher in PETRA-MRA than TOF-MRA.Discussion and Conclusion
In this study we investigated the clinical feasibility of PETRA-MRA by
evaluating image quality and compared that with routine 3D-TOF-MRA. We
found that PETRA-MRA showed significantly higher image quality and better
visualized extracranial carotid arteries.
Atherosclerotic plaque formation at the carotid bifurcation can be greatly
attributed to hemodynamic forces. Our study showed that the image quality of PETRA-MRA
was preferable than those of TOF-MRA. From our results, PETRA-MRA techniques also can reduce the flow dephasing
artifacts in the blood vessel.
In conclusion, extracranial carotid arteries MRA using PETRA technique
could be clinically valuable for improving the image quality with higher diagnostic performance compared with TOF-MRA.
PETRA MRA is a feasible protocol in extracranial MRA imaging .Acknowledgements
We thank Shaoyu Wang of Siemens Healthcare, Ltd., Xi’an, China, for technical support.References
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