Yasushi Ogasawara1, Kuniaki Ogasawara1, Yuiko Sato1, Shinsuke Narumi2, Makoto Sasaki3, Masakazu Kobayashi1, Shunrou Fujiwara1, Kenji Yoshida1, Yasuo Terayama2, and Akira Ogawa1
1Department of Neurosurgery, Iwate Medical University, Morioka, Japan, 2Department of Neurology and Gerontology, Iwate Medical University, Morioka, Japan, 3Institute for Biomedical Sciences, Iwate Medical University, Morioka, Japan
Synopsis
Preoperative 2D MR carotid plaque imaging can assess plaque vulnerability. It may allow improved risk stratification for patients considered for CEA and may be associated with development of
MES during CEA. On the other hand, it is unclear
what position of high signal intensity in the plaque, especially at the position showing maximum
stenosis or maximum signal intensity, is deeply associated with MES, and it is difficult to validate it by the 2D plaque imaging. The aim of the present study was to determine where in the plaque is deeply associated with development of MES
on TCD during CEA in carotid artery stenosis, using 3D-FSE T1W plaque
imaging.Purpose
Intraplaque
characteristics assessed by preoperative 2D magnetic resonance (MR) carotid
plaque imaging may be associated with development of microembolic signals (MES)
1 during carotid dissection in carotid
endarterectomy (CEA). On the other hand, it is unclear what position of the
plaque, especially at the position showing maximum stenosis or maximum signal
intensity, is deeply associated with development of MES, however, it is
difficult to validate it by 2D plaque imaging. The aim of the present study was to determine what
position of the plaque signal intensity identified by preoperative 3D fast spin echo (3D-FSE) T1-weighted (T1W) plaque imaging
2
in carotid artery stenosis is deeply associated with development of MES on
transcranial Doppler (TCD) during exposure procedure of the carotid arteries in
CEA.
Methods
Sixty patients with intracranial artery (ICA)
stenosis (≧70%) underwent preoperative sagittal 3D-FSE
T1WI of the affected carotid bifurcation within 1 week prior to CEA using a
1.5T MR imaging scanner (Signa HDxt; GE Healthcare, Milwaukee, Wisconsin) and
an 8-channel neurovascular coil. The pulse sequence parameters were as follows:
flow-sensitized 3D-FSE with variable flip angles; TR/TE, 500/18.3 ms;
echo-train length, 24; b-value of the flow-sensitized gradients along 3 axes,
2.2 s/mm
2; FOV, 25 × 19 cm
2; matrix size, 512 × 512
(after zero-fill interpolation); section interval, 0.5 mm (after zero- fill interpolation); partitions, 248; voxel size,
0.5 × 0.5 × 0.5 mm
3; parallel imaging factor, 2; NEX, 1; fat
suppression, chemical shift selective suppression; and acquisition time, 3
minutes 54 seconds. Motion-sensitized gradients of 2.2 s/mm
2 were
used as the black-blood technique. Data of 3D-FSE T1W plaque imaging were
processed by using a free software package (OsiriX, Pixmeo, Geneva,
Switzerland) as follows (
Fig.1):
curved planar reformation (CPR) image was automatically generated along the
carotid artery by carefully placing reference points in the center of the
vessel on each axial source image. And then, new axial images perpendicular to
the center line, connecting reference points in the center of the vessel, were
reformatted with 1.0 mm thickness. In each patient, a reformatted axial image
with the maximal plaque size and that with maximal plaque intensity were identified.
In these two images, contrast ratio (CR) of the carotid plaque was calculated
by dividing plaque signal intensity by sternocleidomastoid muscle signal
intensity. Then CEA under TCD monitoring of MES in the ipsilateral middle
cerebral artery (MCA). TCD was performed using a PIONEER TC2020 system (EME,
Uberlingen, Germany; software version 2.50, 2-MHz probe; diameter, 1.5 cm;
insonation depth, 40-66 mm; scale, -100 and +150 cm/s; sample volume, 2 mm;
64-point fast Fourier transform; fast Fourier transform length, 2 mm, fast
Fourier transform overlap, 60%; high-pass filter, 100 Hz; detection threshold,
9 dB; minimum increase time, 10 ms) for insonation of the MCA ipsilateral to
the carotid artery undergoing CEA. TCD data were stored on a hard disk using a
coding system and were later analyzed manually by a clinical neurophysiologist
who was blinded to patient information. MES were identified during exposure of
the carotid arteries (from skin incision until ICA clamping).
Results
CR
max_size and CR
max_intensity were significantly
higher in 16 patients with MES than in 44 patients without MES (p<0.0001).
For all patients, the area under the receiver operating characteristic curve (AUC) to discriminate between
presence and absence of MES was significantly greater with CR
max_intensity
(0.929) than with CR
max_size (0.879) (p=0.0246). For 27 patients
with identification of the image with the maximal plaque size and that with the
maximal plaque intensity, AUCs for CR
max_size and CR
max_intensity were 1.000. For 33 patients without this identification, the
AUC was significantly greater for CR
max_intensity (0.866) than for
CR
max_size (0.787) (p=0.0110).
Discussion and
conclusion
Consequently,
preoperative 3D-FSE T1W plaque imaging for cervical carotid artery stenosis
could demonstrate the deference in the ability for development of MES on TCD during
exposure procedure of the carotid arteries in CEA between the highest signal
intensity in the plaque and the signal intensity at the position with showing
the highest degree of stenosis. It may be important for assessment for the
plaque vulnerability in cervical carotid artery stenosis to carefully choose the
position to measure the signal intensity of the plaque, not only the position
with showing the maximum stenosis but also that with showing the highest signal
intensity.
Acknowledgements
This
work was partly supported by Grant-in-Aid for Strategic Medical Science
Research (S1491001, 2014-2018) from the Ministry of Education, Culture, Sports,
Science and Technology of Japan; Grant-in-Aid for Scientific Research (15K10313)
from Japan Society for the Promotion of Science.References
1) Spencer
MP. Transcranial Doppler monitoring and causes of stroke from carotid
endarterectomy. Stroke 1997;28:685-691.
2) Narumi
S, Sasaki M, Natori T, Yamaguchi Oura M, Ogasawara K, Kobayashi M, Sato Y,
Ogasawara Y, Hitomi J, Terayama Y. Carotid plaque characterization using 3D
T1-weighted MR imaging with histopathologic validation: a comparison with 2D
technique. AJNR Am J Neuroradiol. 2015;36:751-6.