Luguang Chen1, Qi Liu1, Qian Zhan1, Xuefeng Zhang1, and Jianping Lu1
1Radiology, Changhai Hospital of Shanghai, Shanghai, People's Republic of China
Synopsis
Evaluation of
morphologic characterization of BA plaque (such as plaque area, stenosis rate
and percent plaque burden) is significant and may guide treatment decisions in
clinical setting. In this study, we employed the maximal lumen narrowing sites
as the referenced sites to calculate morphologic parameters. This study aims to
compare the Referenced and Self-referenced measurement method methods in
assessing basilar atherosclerotic plaque employing dark blood HRMRI at 3 Tesla.
The present study found Self-referenced method is more convenient and even
better for evaluating BA plaque.
Purpose
An atherosclerotic
plaque at the basilar artery (BA) is frequently observed in patients with
ischemic strokes and TIA of the posterior cerebral circulation [1]. The state-of-art
MRI technology, especially at 3T field strength, offers significant improvement
in signal-to-noise, vessel wall to lumen contrast-to-noise ratio and image
quality compared to imaging at 1.5T [2]. High-Resolution magnetic resonance
imaging (HRMRI) has emerged in recent years as an effective tool for assessing
plaque in the intracranial arteries. Evaluation of morphologic characterization
of BA plaque (such as plaque area (PA),
stenosis rate (SR) and percent plaque burden (PPB)) is significant and may
guide treatment decisions in clinical setting. Previous studies used the
nearest plaque-free or minimally diseased segments proximal and distal to the
maximal lumen narrowing (MLN) sites as referenced sites to calculate morphologic
parameters (here referred to Referenced measurement method) [3,4]. In
this study, we employed the MLN sites as the referenced sites to calculate
morphologic parameters (here referred to Self-referenced
measurement method). We hypothesized that Self-referenced
measurement method is better than Referenced measurement method in evaluating
plaque morphologic characterization. To the best of our knowledge, no such
study has reported at present. Therefore, the goal of this study is to compare
the above two methods in assessing basilar atherosclerotic plaque employing
dark blood HRMRI at 3 Tesla.Materials and methods
Subjects Thirty-seven
patients (28 males and 9 females, 47-79 years old, mean age = 62 years) with >20%
stenosis as identified by conventional MRA were recruited. The present study
was approved by the local institutional review board and written informed
consent was obtained from each patient. MRI protocol Cross-sectional
imaging was performed on a 3T MRI system (Skyra, Siemens medical solution,
Germany) using a standard 20-channel phased-array head/neck coil. 3D time of
flight (TOF) images were used for HRMRI image positioning and obtained with
TR/TE = 21/3.4 ms, FOV = 180×200 mm2, matrix
= 330×384, thickness = 0.7 mm, and average = 1;
parameters for 2D T2 weighted turbo spin echo (T2W TSE) were TR/TE = 2890/46
ms, FOV = 100×100 mm2, matrix
= 256×256, thickness =2 mm, ETL = 20, and averages = 2.
Image
analysis The images were reviewed by an experienced observer, who
was blinded to the clinical information of each patient. Outer wall areas, inner
wall areas and lumen areas of proximal sites, MLN sites and distal sites
were traced manually by the observer (Figure 1). The calculation of PA, SR and PPB
using Referenced measurement method were referred to a previous study [4]. For
Self-referenced measurement method, PA= inner wall area - lumen area, SR = 1-
plaque area/ inner wall area, PPB = plaque area/outer wall area. To test the
intraobserver variability, the observer measured BA plaque twice during two
different time points that were separated by a 2-week interval to avoid any
recall bias. Statistical analysis Significant difference between
Self-referenced and Referenced measurement methods for repeated measurements of
PA, SR and PPB were assessed by using two-tailed paired t-test. Agreement
between repeated measurements was quantified through intraclass correlation
coefficient (ICC), coefficient of variation (CV) and Bland-Altman plots.Results
There were no significant
difference in PA, SR and PPB between the two measurement methods (all P values
>0.05). The ICCs and CVs of two measurement methods were summarized in table
1. Both methods have an excellent agreement in evaluation of BA plaque, but the
CVs of Self-referenced is lower than Referenced measurement method. Moreover, Bland-Altman
plots also showed that Self-referenced method has a narrower interval and less
variability than Referenced measurement method (Figure 2).Discussion and Conclusion
This study found that
an excellent reproducibility for quantifying PA, SR and PPB of basilar
atherosclerotic plaque using both methods and had no significant difference
between two methods, which is important for quantifying morphologic parameters
of plaque and further studies. However, Self-referenced method is more
convenient and better for evaluating BA plaque. Self-referenced method may
serve as a promising method for evaluating basilar atherosclerotic plaque.Acknowledgements
This work was supported by
the National Natural Science Foundation of China (Grant Number 31470910) and
the Shanghai Shenkang Porject of Shanghai, China (Grant Number SHDC12013110).References
1. Mamatha
H, D'Souza AS, Pallavi, Suhani S. Human cadaveric study of the morphology of
the basilar artery. Singapore Med J. 2012;53(11):760-763.
2. Vidal
A, Bureau Y, Wade T, Spence JD, Rutt BK, Fenster A, Parraga G. Scan-rescan and intra-observer
variability of magnetic resonance imaging of carotid atherosclerosis at 1.5 T
and 3.0 T. Phys Med Biol. 2008;53(23):6821-6835.
3. Feng
C, Xu Y, Bai X, Hua T, Li Q, Tang GY, Chen YJ, Liu XY, Huang J. Basilar artery
atherosclerosis and hypertensive small vessel disease in isolated pontine
infarctions a study based on high-resolution MRI. Eur Neurol.
2013;70(1-2):16-21.
4. Zhu
XJ, Du B, Lou X, Hui FK, Ma L, Zheng BW, Jin M, Wang CX, Jiang WJ. Morphologic
Characteristics of Atherosclerotic Middle Cerebral Arteries on 3T
High-Resolution MRI. AJNR Am J Neuroradiol. 2013;34(9):1717-1722.