Interstudy reproducibility of dark blood high-resolution MRI in evaluating basilar atherosclerotic plaque at 3 Tesla.
Several luminal angiography techniques, such as digital subtraction angiography, computed tomography angiography and magnetic resonance angiography, have been employed to evaluate intracranial atherosclerotic stenosis, but these methods fail to delineate the vessel wall morphology properties and plaque components (4). Advanced magnetic resonance imaging technology, especially at 3 Tesla (T) field strength, provides better signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and image quality than those at 1.5 T (8, 9). Dark blood high-resolution magnetic resonance imaging (HR-MRI) has emerged in the last few years as a powerful technique for assessing plaque in the intracranial arteries (10-13). The following techniques have been used to enhance the dark blood effect and to have a better visualization of lumen and vessel wall of the arteries: saturation band (14), double inversion recovery (DIR) (15), quadruple inversion recovery (QIR) (16), motion-sensitized driven-equilibrium (MSDE) (17), and delay alternating with nutation for tailored excitation (DANTE) (18), each method with its merits and shortcomings. Compared with conventional angiography, HR-MRI has some merits in delineating the vessel wall characterization because of its noninvasive and radiation-free properties (4) and is more accurate in delineating basilar artery stenosis and detecting plaque (19). HR-MRI can be employed to discriminate between dissection and vasculitis (20), predict the progressive motor deficits after pontine infarction (21), investigate plaque enhancement (5, 22), and access the plaque distribution features and growth patterns of basilar artery (4, 6, 23-27). In addition, it has been used as an underlying guide for interventional treatment of intracranial atherosclerotic disease (28). Moreover, HR-MRI has been used for evaluating intraobserver and interobserver variability of intracranial arterial atherosclerotic plaques, such as carotid artery, middle cerebral artery and basilar artery (29-32). But above all, for the longitudinal study of atherosclerosis, the repeated HR-MRI scans can be used to monitor variations in vessel wall and may reflect the treatment response (9, 32, 33). We hypothesized that the interscan reproducibility of basilar artery plaque imaging was excellent using HR-MRI at 3 T. However, to the best of our knowledge, little has been reported on the scan and rescan reproducibility of quantitative in vivo measurements of basilar artery plaque using two-dimensional (2D) T2-weighted protocol.
Therefore, the purpose of the current study was to evaluate the interscan, intraobserver and interobserver reproducibility of basilar artery plaque employing dark blood HR-MRI at 3 T.
Sixteen consecutive patients (14 males and 2 females; age, 54-67 years; mean age, 61.9[+ or -]3.9 years) with basilar artery atherosclerosis were prospectively recruited from February 2014 to July 2014. Both symptomatic and asymptomatic subjects with >30% stenosis of basilar artery as identified by conventional contrast-enhanced magnetic resonance angiography were included in the current study, the degree of stenosis was assessed using Warfarin-Aspirin Symptomatic Intracranial Disease (WASID) method by a radiologist who has an experience of >20 years in the diagnostic neuroradiology (34). Patients were deemed to be symptomatic if they had ischemic stroke or TIA in the basilar artery territory during the last 4 weeks; however, if they did not have a history of cerebrovascular events or if an ischemic event occurred in a vascular distribution beyond the stenotic basilar artery, they were regarded as asymptomatic patients (31). Ten patients were symptomatic, and the others were asymptomatic. The following criteria were used to exclude patients: 1) normal or <30% stenotic arteries at the site of the basilar artery; 2) nonatherosclerotic vasculopathy; 3) arteritis; 4) claustrophobia; and 5) poor image quality for interpretation. Two patients were excluded from the final inclusion because of poor image quality (scores, [less than or equal to]2) and uncooperative examination. Therefore, fourteen patients were included in the final analysis. The study was approved by our local institutional review board, and each patient gave written informed consent.
Magnetic resonance imaging
All imaging was performed using a 3 T whole-body MRI system (Skyra, Siemens medical solution, Germany), with a peak gradient strength of 45 mT/m and a slew rate of 200 mT[m.sup.-1][ms.sup.-1]. The integrated body coil was employed for radiofrequency transmission, and a standard 20-channel head/neck coil was used for magnetic resonance signal reception. All patients were examined in the supine position with eyes positioned at the center of the magnet. In addition, two soft cushions were inserted between the head and coil to help the subject's head immobile. Two protocols were used: three-dimensional (3D) time-of-flight images were obtained using repetition time/echo time (TR/TE) 21/3.4 ms, field of view (FOV) 180x200 [mm.sup.2], matrix 330x384, thickness 0.7 mm, and average 1; 2D T2-weighted turbo spin-echo (TSE) images were obtained using TR/TE 2890/46 ms, FOV 100X100 [mm.sup.2], matrix 256X320, thickness 2 mm, Gap 0.5 mm, Slices 12, turbo factor 20, and averages 2. Fat saturation was applied to suppress signal from adjacent fatty tissues and improve identification of vessel wall boundaries. The dark blood technique with a regional saturation pulse of 60 mm thickness was used to saturate the inflow arterial signal. All patients underwent two repeated scans of the basilar artery vessel wall during two different scan sessions. After the first scan (Scan 1), the coil was removed, the patient was allowed to have a short rest outside the scanner, following which he/she was repositioned for the second scan (Scan 2). The total time of two scan sessions and scan interval was approximately 30 minutes.
Cross-sectional images were used to perform image analysis and quantitative analysis, with a total of 58 data points from 14 patients. The images of all subjects were transferred to an advanced workstation for analysis. The vessel wall images of basilar artery acquired using T2-weighted TSE protocol at the two different scan sessions were evaluated and scored for image quality by an observer with 4 years of experience in neuroradiology, who was blinded to the subject identity and scan session of each patient. The grade of image quality was based on the following four criteria: overall image quality, vessel wall delineation, flow suppression, and artifacts (35), each scored on a 5-point scale (1= poor; 5= excellent). If all scores were [greater than or equal to]3, the image qualified for further evaluation.
Area measurements were performed by two independent observers on the cross-sectional T2-weighted images of both scan series. Images of repeated scans of each patient were analyzed in a randomized order to avoid any potential bias. The vessel and lumen boundaries were manually outlined for each image and area measurements were performed employing a dedicated display software (CMRTools, Cardiovascular Imaging Solutions; Fig. 1). Wall area was determined by subtracting the lumen area from the vessel area. To assess intraobserver variability, the first observer reevaluated the cross-sectional T2-weighted images of the first scan. Area measurements were performed twice during the two sessions which were separated by a 4-week interval and presented in a different order to avoid any recall bias.
All analyses were performed using the SPSS software for windows (version 16.0, SPSS Inc.). Quantitative data were described as means [+ or -] standard deviation. The coefficient of variation (CV) was determined by the standard deviation (SD) of the two matched measurements of T2-weighted images divided the mean of those measurements (CV = SD/mean X 100%). Intraclass correlation coefficient (ICC) was calculated using two-way mixed model and single consistency type to assess the agreement between repeated measurements, and values were graded according to the method proposed by Shout and Fleiss (36): <0.4, poor agreement; 0.4-0.75, good agreement; >0.75, excellent agreement. In addition, Bland-Altman plots (37) were also used to determine the interscan, intraobserver and interobserver agreement of area measurements, which illustrated the level of agreement by plotting the differences between the two area measurements against the mean of the two area measurements. A type-I error level of 5% was used for making statistical inferences.
The results for scan and rescan reproducibility are presented in Table 1. The areas for the two examinations were 27.37[+ or -]7.24 [mm.sup.2] and 27.51[+ or -]7.14 [mm.sup.2] for vessel measurements, 4.54[+ or -]3.25 [mm.sup.2] and 4.39[+ or -]3.04 [mm.sup.2] for lumen measurements, as well as 22.82[+ or -]8.62 [mm.sup.2] and 23.12[+ or -]8.65 [mm.sup.2] for wall measurements, respectively, which showed no clinically significant difference between these measurements. The interscan reproducibility was excellent and the ICCs and CVs for vessel, lumen, and wall area measurements were 0.973 and 4.31%, 0.979 and 10.35%, and 0.981 and 5.26%, respectively. Excellent agreement was also observed for scan and rescan reproducibility employing Bland-Altman plots (Fig. 2).
The statistical results for the intraobserver reproducibility are presented in Table 2. The areas for the intraobserver measurement were 27.37[+ or -]7.24 [mm.sup.2] and 27.27[+ or -]7.18 [mm.sup.2] for vessels, 4.54[+ or -]3.25 [mm.sup.2] and 4.49[+ or -]3.20 [mm.sup.2] for lumens, as well as 22.82[+ or -]8.62 [mm.sup.2] and 22.78[+ or -]8.60 [mm.sup.2] for walls, respectively, which showed no clinically significant difference between these measurements. The intraobserver reproducibility was excellent and the ICCs and CVs for vessel, lumen and wall area measurements were 0.997 and 1.41%, 0.996 and 4.62%, and 0.997 and 1.95%, respectively. Excellent agreement was also observed for intraobserver reproducibility employing Bland-Altman plots (Fig. 3).
The statistical results for the interobserver reproducibility are presented in Table 3. The areas for the interobserver measurement were 27.37[+ or -]7.24 [mm.sup.2] and 27.48[+ or -]7.21 [mm.sup.2] for vessels, 4.54[+ or -]3.25 [mm.sup.2] and 4.63[+ or -]3.10 [mm.sup.2] for lumens, as well as 22.82[+ or -]8.62 [mm.sup.2] and 22.85[+ or -]8.69 [mm.sup.2] for walls, respectively, with no clinically significant difference between these measurements. The interobserver reproducibility was excellent and the ICCs and CVs for vessel, lumen, and wall area measurements were 0.979 and 3.79%, 0.985 and 8.46%, and 0.985 and 4.66%, respectively. Excellent agreement was also observed for interobserver reproducibility employing Bland-Altman plots (Fig. 4).
Our study shows that vessel, lumen and wall area measurements of basilar artery plaques using dark blood HR-MRI had excellent reproducibility for interscan, interobserver, and intraobserver measurements, respectively (32).
The present study showed that the ICCs of interscan and interobserver variability were excellent for vessel, lumen, and wall area measurements (ICC range: 0.973-0.981, 0.979-0.985, respectively). Moreover, the CVs of these measurements ranged from 4.31% to 10.35% and 3.79% to 8.46% for interscan and interobserver variability, respectively. Yet the lumen measurements had the largest CV in evaluating interscan variability. As expected, intraobserver reproducibility was superior to interscan and interobserver reproducibility. Compared with the interscan and interobserver variability, intraobserver measurements had larger ICCs (range, 0.996-0.997) for assessing vessel, lumen and wall areas, and all CVs were <5.00%. Ma et al. (29) reported the interobserver and intraobserver reproducibility of basilar atherosclerotic plaque at the level of the trigeminal ganglion; their images were acquired at one scan session and they only assessed wall area measurement. They found intraobserver reproducibility was excellent for wall measurement with an ICC of 0.973, which is consistent with our result. To the best of our knowledge, no study had evaluated the interscan reproducibility of basilar plaque before. Li et al. (38) found that there was high reliability for carotid morphology measurements using HR-MRI in a scan and rescan study. In another study, Zhang et al. (33) reported scan-rescan reproducibility for middle cerebral artery plaque morphology measurements using HR-MRI at 3 T. They found excellent reproducibility for area measurements with CV ranging from 6.1% to 11.8%; in addition, their results showed a larger CV for lumen area measurements than other morphologic parameters, which is similar to our results. We speculated three possible reasons: First, it was very hard for the technologist to keep the same slice positioning for each patient during the two scan sessions, and quantitative measurement of lumen area was more sensitive to positioning error than that of wall and vessel areas. Second, due to the different diameters of lumens and vessels, the relative error of lumen area measurement was larger than that of vessel area when performing multiple measurements. Third, the spatial resolution may also play an important role in quantifying area measurements. In our study, we used a highly nonisotropic spatial resolution of 0.31 mm X 0.39 mm X 2.00 mm for imaging basilar atherosclerotic plaque, and the slice thickness was much larger than the in-plane resolution, which was likely to result in image misregistration (38). In addition, Bland-Altman plots showed an excellent agreement for interscan, intraobserver, and interobserver measurements; however, compared with the interscan and interobserver measurements, narrow intervals of the scatterplots were observed for the intraobserver measurements (Figs. 2 and 3).
A previous study of carotid atherosclerosis reported that the SNR and CNR of the images acquired at 3 T were significantly better in comparison with the images acquired at 1.5 T in terms of interscan reproducibility (9). Their conclusion was in agreement with another study by Yarnykh et al. (8), where 3 T MRI was shown to have a number of benefits for carotid plaque imaging including increased SNR, higher spatial resolution, and a reduction of examination time (8). Therefore, in the present study we employed 3 T HR-MRI for assessing morphology measurement of basilar atherosclerotic plaque. Zhu et al. (39) found that high-resolution intracranial vessel wall imaging at 7 T is superior to 3 T in terms of improved image quality and diagnostic performance using 3D T1-weighted fast spin-echo (39). However, 7 T MRI system has not been widely approved to use in clinical settings, and 3 T MRI is commonly used to explore in vivo atherosclerotic plaque (10, 12, 28). Several techniques have been used to improve dark blood effect, such as saturation band (14), DIR (15), QIR (16), MSDE (17), and DANTE (18). Due to the inherent flow void effect of turbo spin-echo, in the present study we used saturation band to saturate the inflow blood signal when imaging basilar plaque because of its simplicity and low specific absorption ratio properties.
Recently, several studies have evaluated the intracranial vessel wall using 3D HR-MRI which offers larger imaging coverage, higher spatial resolution and improved SNR. However, those studies focused mainly on T1-weighted or proton-density-weighted vessel wall imaging (26, 40, 41). In our study, dark blood high-resolution T2-weighted images were chosen for quantitative measurement, since contrast levels between the lumen and plaque, the vessel wall and cerebrospinal fluid were higher than those seen in other scanning protocols (31). Moreover, flow compensation in the slice direction was also used to decrease pulsation artifacts (31). To minimize errors caused by slice positioning during the repeated examinations, 3D scanning protocols with isotropic spatial resolution, high SNR and large coverage may be used; however, 3D technique needs long acquisition time and is vulnerable to motion artifacts. Therefore, fast imaging techniques are required to cut down the scan time. In the present study, excellent reproducibility was observed for repeated HR-MRI examinations of basilar artery plaque, which is vitally important for assessing the progression of basilar atherosclerosis and monitoring the treatment response on basilar atherosclerotic disease. In addition, reliable assessment of serial scans is paramount to identify the composition of basilar atherosclerotic plaque in clinical practice.
There are several limitations to the present study. First, the sample size is relatively small. Due to poor image quality in 3 patients, 14 patients were involved to the final analysis. A larger sample size is needed to validate the present findings in future studies. Second, we manually traced the vessel wall and lumen boundaries on the T2-weighted images to assess the variability of the repeated measurements. However, an automated vessel wall analysis tool is needed and may reduce errors between the interscan and intraobserver measurements. Finally, there was a short scan session interval between the repeated examinations, which took approximately 10 minutes.
In conclusion, basilar atherosclerotic plaque imaging demonstrates excellent reproducibility at 3 T. Our study suggests that dark blood HR-MRI may serve as a reliable tool for clinical studies focused on the progression and treatment response of basilar atherosclerosis.
This work was supported by the National Natural Science Foundation of China (Grant Number 31470910).
Conflict of interest disclosure
The authors declared no conflicts of interest.
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Luguang Chen [iD]
Qi Liu [iD]
Zhang Shi [iD]
Xia Tian [iD]
Wenjia Peng [iD]
Jianping Lu [iD]
From the Department of Radiology (J.L. H cjr. Iujianping@vip.163.com), Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, China.
Received 20 September 2017; revision requested 23 October 2017; last revision received 21 February 2018; accepted 24 February 2018.
Published online 7 June 2018.
* The repeated high-resolution MRI scans are very important and can be used to monitor variations in vessel wall.
* No clinically significant difference was observed for interscan, intraobserver, and interobserver measurements.
* Basilar atherosclerotic plaque imaging demonstrates excellent reproducibility at 3 T.
Table 1. Interscan reproducibility for basilar artery Scan 1 Scan 2 (mean[+ or -]SD) (mean[+ or -]SD) Vessel area ([mm.sup.2]) 27.37[+ or -]7.24 27.51[+ or -]7.14 Lumen area ([mm.sup.2]) 4.54[+ or -]3.25 4.39[+ or -]3.04 Wall area ([mm.sup.2]) 22.82[+ or -]8.62 23.12[+ or -]8.65 ICC (95% CI) CV (%) Vessel area ([mm.sup.2]) 0.973 (0.954-0.984) 4.31 Lumen area ([mm.sup.2]) 0.979 (0.965-0.988) 10.35 Wall area ([mm.sup.2]) 0.981 (0.968-0.989) 5.26 SD, standard deviation of mean; ICC, intraclass correlation coefficient; CI, confidence interval; CV, coefficient of variation. Table 2. Intraobserver reproducibility for basilar artery Measurement 1 Measurement 2 (mean[+ or -]SD) (mean[+ or -]SD) Vessel area ([mm.sup.2]) 27.37[+ or -]7.24 27.27[+ or -]7.18 Lumen area ([mm.sup.2]) 4.54[+ or -]3.25 4.49[+ or -]3.20 Wall area ([mm.sup.2]) 22.82[+ or -]8.62 22.78[+ or -]8.60 ICC (95% CI) CV (%) Vessel area ([mm.sup.2]) 0.997 (0.995-0.998) 1.41 Lumen area ([mm.sup.2]) 0.996 (0.993-0.998) 4.62 Wall area ([mm.sup.2]) 0.997 (0.995-0.998) 1.95 SD, standard deviation of mean; CI, confidence interval; ICC, intraclass correlation coefficient; CV, coefficient of variation. Table 3. Interobserver reproducibility for basilar artery Observer 1 Observer 2 (mean[+ or -]SD) (mean[+ or -]SD) Vessel area ([mm.sup.2]) 27.37[+ or -]7.24 27.48[+ or -]7.21 Lumen area ([mm.sup.2]) 4.54[+ or -]3.25 4.63[+ or -]3.10 Wall area ([mm.sup.2]) 22.82[+ or -]8.62 22.85[+ or -]8.69 ICC (95% CI) CV (%) Vessel area ([mm.sup.2]) 0.979 (0.965-0.988) 3.79 Lumen area ([mm.sup.2]) 0.985 (0.975-0.991) 8.46 Wall area ([mm.sup.2]) 0.985 (0.974-0.991) 4.66 SD, standard deviation of the mean; ICC, intraclass correlation coefficient; CI, confidence interval; CV, coefficient of variation.
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|Title Annotation:||ORIGINAL ARTICLE|
|Author:||Chen, Luguang; Liu, Qi; Shi, Zhang; Tian, Xia; Peng, Wenjia; Lu, Jianping|
|Publication:||Diagnostic and Interventional Radiology|
|Date:||Jul 1, 2018|
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