- Open Access
3D whole-brain vessel wall cardiovascular magnetic resonance imaging: a study on the reliability in the quantification of intracranial vessel dimensions
Journal of Cardiovascular Magnetic Resonance volume 20, Article number: 39 (2018)
One of the potentially important applications of three-dimensional (3D) intracranial vessel wall (IVW) cardiovascular magnetic resonance (CMR) is to monitor disease progression and regression via quantitative measurement of IVW morphology during medical management or drug development. However, a prerequisite for this application is to validate that IVW morphologic measurements based on the modality are reliable. In this study we performed comprehensive reliability analysis for the recently proposed whole-brain IVW CMR technique.
Thirty-four healthy subjects and 10 patients with known intracranial atherosclerotic disease underwent repeat whole-brain IVW CMR scans. In 19 of the 34 subjects, two-dimensional (2D) turbo spin-echo (TSE) scan was performed to serve as a reference for the assessment of vessel dimensions. Lumen and wall volume, normalized wall index, mean and maximum wall thickness were measured in both 3D and 2D IVW CMR images. Scan-rescan, intra-observer, and inter-observer reproducibility of 3D IVW CMR in the quantification of IVW or plaque dimensions were respectively assessed in volunteers and patients as well as for different healthy subjectsub-groups (i.e. < 50 and ≥ 50 years). The agreement in vessel wall and lumen measurements between the 3D technique and the 2D TSE method was also investigated. In addition, the sample size required for future longitudinal clinical studies was calculated.
The intra-class correlation coefficient (ICC) and Bland-Altman plots indicated excellent reproducibility and inter-method agreement for all morphologic measurements (All ICCs > 0.75). In addition, all ICCs of patients were equal to or higher than that of healthy subjects except maximum wall thickness. In volunteers, all ICCs of the age group of ≥50 years were equal to or higher than that of the age group of < 50 years. Normalized wall index and mean and maximum wall thickness were significantly larger in the age group of ≥50 years. To detect 5% - 20% difference between placebo and treatment groups, normalized wall index requires the smallest sample size while lumen volume requires the highest sample size.
Whole-brain 3D IVW CMR is a reliable imaging method for the quantification of intracranial vessel dimensions and could potentially be useful for monitoring plaque progression and regression.
Intracranial atherosclerotic disease (ICAD) is one of the major causes for cerebrovascular events such as stroke and transient ischemic attack [1, 2]. Luminography imaging, routinely used in the diagnostic workup of ICAD, is restricted to the detection of luminal stenosis, which is, however, not a specific marker for confirming and risk-stratifying atherosclerotic plaques . In contrast, high-resolution black-blood cardiovascular magnetic resonance (CMR) can directly visualize the intracranial vessel wall (IVW) and has demonstrated the potential to characterize plaque features that are intimately associated with clinical events [4,5,6,7,8].
Three-dimensional (3D) turbo spin-echo (TSE) with variable refocusing flip angles, as a black-blood CMR technique, has recently gained growing interest among the IVW imaging research community [9,10,11,12,13,14,15]. Compared with a conventionally used two-dimensional (2D) TSE method, the 3D approach provides larger spatial coverage, higher spatial resolution and signal-to-noise ratio (SNR), and the flexibility in image visualization, which are all desirable for visualizing small, tortuous, and deep-seated intracranial arteries. Continued technical improvements are being introduced to the technique, primarily in signal suppression of the cerebrospinal fluid (CSF) [16,17,18,19] and arterial blood , spatial coverage [16, 18], and scan efficiency . Notably, a whole-brain IVW CMR imaging method was recently developed by incorporating non-selective excitation and a trailing magnetization flip-down module with a commercially available 3D TSE sequence - Sampling Perfection with Application-optimized Contrast using different flip angle Evolutions (SPACE) . Remarkable CSF signal attenuation and enhanced image SNR and T1 contrast weighting make the technique well suited for evaluating vessel wall morphology and revealing plaque features with a characteristic hyper-intense appearance such as intra-plaque hemorrhage and post-contrast wall enhancement. With additional optimization at 3 Tesla, a 3D scan with a whole-brain spatial coverage and isotropic 0.5-mm spatial resolution can be completed within 7–8 min . Such improved imaging efficiency further strengthens its applicability for clinical settings.
One of the potentially important applications of 3D IVW CMR is to monitor ICAD progression and regression via quantitative measurement of vessel wall morphology during medical management or drug development. Demonstrated in extracranial vascular beds, several plaque morphologic measures derived by high-resolution black-blood CMR, such as mean wall thickness, plaque burden, and wall remodeling ratio, may serve as imaging surrogates for therapeutic responses [21,22,23,24]. A key prerequisite for 3D IVW CMR to become an imaging tool for longitudinal ICAD assessment is the reliability of the technique in vessel wall and lumen dimension quantification. However, there is a paucity of data reported on the aspect [9, 25].
The purpose of this study was to perform comprehensive reliability analysis for 3D IVW CMR, particularly the recently proposed whole-brain IVW CMR imaging technique . Scan-rescan, intra-observer, and inter-observer reproducibility in the quantification of intracranial vessel dimensions were respectively assessed for healthy subjects and patients with ICAD as well as for different sub-groups (i.e. age < 50 and ≥ 50 years). The agreement in vessel wall and lumen measurements between the 3D technique and the conventionally used 2D TSE method was also investigated in a subgroup of the subjects. In addition, the sample size required for future longitudinal clinical studies was calculated. The findings from this study are expected to indicate the performance of the method in general populations and to provide insights into planning future studies on clinical patients.
The prospective study was approved by the local institutional review board. Thirty-four healthy subjects (24 males; 14 aged 31–49 years and 20 aged 50–66 years) without known cerebrovascular diseases and 10 patients (7 males; 42–69 years, mean 51.2 years) with known ICAD were recruited. Written informed consent was obtained from all subjects.
All CMR examinations were performed on a 3-Tesla whole-body system (MAGNETOM Verio, Siemens Healthineers, Erlangen, Germany) with a 32-channel head coil. Subjects were scanned in a supine position with a foam padding to minimize head movement. Two repeated 3D IVW CMR scans were performed with an off-table break for healthy subjects and 7 to 11-day intervals for patients [18, 20]. When any of the two scans exhibited motion-related image blurring at the discretion of the CMR technologist, reacquisition was attempted only once to simulate real clinical settings. Relevant imaging parameters were as follows: sagittal imaging orientation, repetition time (TR) /echo time (TE) = 900/15 ms, receiver bandwidth = 488 Hz/pixel, field of view = 170 × 170 × (110–127) mm3, matrix size = 320 × 320 × (208–240) with 7.7–6.7% partition oversampling, spatial resolution = 0.53 × 0.53 × 0.53 mm3 (without zero-filled interpolation), turbo factor = 52, echo train duration = 271 ms, 6/8 partial Fourier in the partition-encoding direction, parallel imaging (GRAPPA) acceleration rate = 2 in the phase-encoding direction, scan time = 7 min 10 s – 8 min 10 s depending on the head size.
In 19 out of the 34 healthy subjects, T1-weighted 2D TSE was also performed during the rescan session to provide an CMR imaging reference for assessing the inter-method agreement. Due to its relatively poor scan efficiency, the acquisition was prescribed only for three arterial segments that often present with ICAD in patients, including the distal basilar artery (BA), distal internal carotid artery (ICA) supraclinoid segment (C4), and proximal middle cerebral artery (MCA) M1 segment. Immediately after the 3D IVW CMR rescan, 3D images were reconstructed into three contiguous 2-mm-thick cross-sections at each of the three segments by an experienced CMR technologist using the multiplanar reconstruction (MPR) functionality available on the imaging console. A 2D TSE image was then acquired for each of these cross-sections with following imaging parameters: TR/TE = 800/12 ms, receiver bandwidth = 411 Hz/pixel, field of view = 170 × 170 mm3, matrix size = 320 × 320, spatial resolution = 0.53 × 0.53 mm2, slice thickness = 2 mm, turbo factor = 9, signal averages = 4, scan time per slice = 1 min 37 s.
All images were transferred to a workstation (Syngo MultiModality Workplace, Siemens Healthineers). The scan and rescan 3D IVW CMR image sets were first co-registered using an image fusion functionality to account for head repositioning. At the same locations on both image sets, 5 following vessel segments were analyzed for each healthy subject: the distal BA, the distal vertebral artery (VA; V4), the distal ICA C4, the proximal MCA M1, and the proximal anterior cerebral artery (ACA) A1. Three contiguous cross-sections of 2-mm thickness were generated via MPR for each segment. For each patient, 3 contiguous cross-sections of 2-mm thickness centered at the thickest location of the most stenotic plaque were also generated via MPR.
All these reconstructed cross-sectional images and corresponding 2D TSE images underwent vessel wall and lumen dimension quantification using commercial software (VesselMass, Leiden University Medical Center, Leiden, the Netherlands). Each image was magnified 4–6 times with bilinear interpolation. Lumen and outer wall boundaries were traced manually along the interfaces between the lumen and wall and between the wall and surrounding tissue respectively, generating two contours (Fig. 1). When part of a boundary was invisible, the contour was completed to maintain the continuity of the vessel’s curvature . The entire vessel wall region encased by the two contours were automatically divided into ten evenly spaced segments. The software generated the following measurements: the average and maximum wall thickness (i.e. the mean and maximum value of the ten distances between contours), the lumen area (i.e. the area inside the luminal contour), and the wall area (i.e. subtracting the inner contour area from the outer contour area). Additionally, normalized wall index was calculated as the ratio of the wall area to the outer contour area. Contouring and determination of the above wall and lumen dimensions for any 3 consecutive slices required a processing time of approximately 2.5 min per scan. For each vessel segment or plaque, the measured normalized wall index and mean/maximum wall thickness were, respectively, averaged over the three slices; lumen volume and wall volume were obtained by summing the area measurements of the three slices and multiplying by 2 mm.
Two readers (with 6-year and more than 10-year experience in vascular CMR imaging, respectively) independently performed above vessel wall and lumen measurements on the images from the first 3D IVW CMR scan. After two weeks, one of the readers performed a second-round measurement on the same data, and the other performed measurement on the images from the second scan followed by measurement another 2 weeks later for the 2D TSE scan when available.
All statistical analyses were performed using SPSS (version 19.0, International Business Machines, Armonk, New York, USA) and R (version 3.4.1). Intra-class correlation coefficient (ICC) was obtained from a two-way random model with two raters for inter-rater reproducibility and a two-way mixed model with two raters for intra-rater and scan-rescan reproducibility. Confidence intervals for the overall ICC were calculated by bootstrap taking in account the correlation between segments in the same patient. An ICC value of less than 0.4 was considered poor agreement, a value of 0.4–0.75 was considered good agreement, and a value of 0.75 or greater was considered excellent agreement . Bland-Altman analysis was also used to determine the scan-rescan, intra-, and inter-observer reproducibility of 3D IVW CMR as well as inter-method agreement between 3D IVW CMR and 2D TSE in quantifying vessel dimensions for volunteers.
In addition, the healthy cohort was further categorized by age into two groups, i.e. < 50 years and ≥50 years. All above reproducibility were determined for each group. Morphologic measurements averaged over the two readers were used to determine the differences between the two groups based on independent t-test. A two-tailed P value of 0.05 or less was considered to indicate a significant difference.
Based on the scan-rescan data analysis, the sample size required for each of dimension measurements to compare placebo and treatment group in a clinical trial with 80% of power at 5% significance level was calculated using a t-test with equal variances. It was assumed that the mean of the placebo group would be equal to the mean from the healthy subjects in our study and that the mean of the treatment group would be 5, 10, 15, and 20% different. The standard deviations for placebo and treatment groups were assumed to be equal and given by the subject variance estimated from a linear mixed model with subject as fixed effect and scan as random effect.
Motion-related vessel wall blurring was observed by the CMR technologist in either of the two 3D IVW CMR scans in 6 healthy subjects and 2 patients. Reacquisitions in these subjects were performed and yielded acceptable image quality in all but 2 healthy subjects (51 and 49 years) and 1 patient (61 years) who were excluded from image analysis. Hence, a total of 160 paired arterial segments from 32 healthy subjects (13: age < 50 years and 19: age ≥ 50 years) and 9 plaques (5 on MCA, 2 on BA, and 2 on VA) were available for reproducibility analysis; a total of 54 paired arterial segments from 18 healthy subjects were available for inter-method agreement analysis.
3D IVW CMR provided visually consistent delineation of the vessel wall (Fig. 2) and plaques (Fig. 3) in both scans. In some plaques, high signal-intensity features were observed (Fig. 3 case A). For healthy subjects, morphologic measurements and corresponding ICC values, when combining all assessed segments, are summarized in Table 1 (Segment-based results are summarized in Additional file 1: Table S1). Each of the assessed morphologic indices had all ICCs greater than 0.75, indicating excellent reproducibility. More specifically, for the intra-observer reproducibility, all ICCs were equal to or greater than 0.93. For the scan-rescan and inter-observer reproducibility, all ICCs except for that for the inter-observer reproducibility on normalized wall index were equal to or greater than 0.83. For patients, vessel wall and lumen measurements at the most stenotic plaque and corresponding ICC values are summarized in Table 2. All ICCs except for that for the inter-observer reproducibility on maximum wall thickness (ICC = 0.87) were equal to or greater than 0.91, indicating excellent reproducibility.
The Bland-Altman plots for all arterial segments of healthy subjects are shown in Fig. 4 for lumen volume, normalized wall index, and mean wall thickness, respectively. Random error scattering patterns and independence of the difference on the mean value were observed.
All ICCs of the healthy subgroup age ≥ 50 years were equal to or higher than that of the < 50 years subgroups, but in most cases, were lower than that of patients (Fig. 5). As shown in Table 3, there were no significant difference in lumen or wall volume between the two age groups. However, normalized wall index and mean and maximum wall thickness were significantly larger in the age group of ≥50 years (P ≤ 0.05).
Figure 6 shows representative 3D IVW images and reformatted vessel wall cross-sections as well as slice thickness- and location-matched 2D TSE images for three arterial segments. The two acquisition methods provided visually comparable vessel wall delineation. When all three segments were evaluated together, all paired morphologic measurements exhibited an excellent agreement as indicated by an ICC with 95% CI of 0.98 (0.95–0.99), 0.96 (0.84–0.98), 0.96 (0.92–0.97), 0.92 (0.82–0.96), and 0.88 (0.32–0.96) for lumen volume, wall volume, normalized wall index, mean wall thickness, and maximum wall thickness, respectively. Segment-based morphologic measurements and corresponding ICC values for 3D and 2D IVW CMR are summarized in Additional file 1: Table S2. The differences between 3D and 2D IVW CMR and the mean values with limits of agreement for all segments are illustrated in Bland-Altman plots (Fig. 7). The mean differences between 3D and 2D IVW CMR were 2.4 mm3 for lumen volume, 3.0 mm3 for vessel wall volume, 0.002 for normalized wall index, 0.02 mm for mean wall thickness, and 0.04 mm for maximum wall thickness. Bland-Altman analysis demonstrated good agreement with small bias between the two techniques.
Table 4 shows sample size required to compare placebo and treatment group for all measures means considering MCA segment with 80% of power at 5% significance level using a t-test for two independent samples with equal variance. The sample sizes required for the measures in other segments are also presented in Additional file 1: Table S3. Normalized wall index requires the smallest sample size while lumen volume requires the highest sample size to compare two groups. The large-sized segments (ICA, VA, and BA) requires the smaller sample size than small-sized segments (MCA and ACA).
A non-invasive imaging method for reliably quantifying longitudinal morphologic changes in ICAD is potentially useful in medical management or drug development. High-resolution black-blood 2D CMR, traditionally used for ICAD imaging, has been shown to be a morphology-probing tool with good intra- and inter-observer agreement  as well as low scan-rescan variability . With aforementioned technical advantages that are more relevant to vessel wall morphologic assessments, 3D IVW CMR has increasingly been advocated as a non-invasive imaging modality for ICAD research [9,10,11,12,13,14,15]. However, its applicability in longitudinal imaging evaluations has yet to be established. Thus, the present study sought to conduct a comprehensive investigation on its reliability in the quantification of intracranial vessel dimensions.
Scan-rescan reproducibility is a paramount requirement for an imaging modality to be used for serial examinations. Our results showed excellent scan-rescan reproducibility in measuring the dimensions of major intracranial arterial segments for healthy subjects and plaques for patients with all ICCs ≥0.87 and 0.91, respectively. A previous study on using 2D IVW CMR for evaluating MCA lumen and plaque area/volume showed better ICCs (0.97 or higher) . This is likely because the 3D technique is more susceptible to any errors caused by, for example, image registration, reformation, and vessel wall contouring, particularly in healthy subjects where the vessel wall is thinner. A more recent population-based study has reported considerably lower reproducibility in wall volume, normalized wall index, and mean wall thickness for a 3D IVW CMR sequence . One of major possible reasons for the better performance of the whole-brain IVW CMR sequence in our study is that two repeat scans were in the same imaging session in healthy volunteers or days apart in patients.. Clearly this same-session investigation strategy for healthy subjects only reveals the scan-rescan repeatability instead of the true longitudinal repeatability of a technique, but has commonly been used in many previous studies [26, 28, 29]. Nevertheless, our findings suggest the possibility for reliable serial examination of IVW using the 3D whole-brain IVW CMR technique as previous carotid studies did [26, 29, 30].
Our study also revealed excellent intra- and inter-observer reproducibility in quantifying intracranial vessel dimensions. In general, all ICCs were better than those reported by the recent population-based study whereby a slab-selective 3D IVW CMR sequence was used . Our evaluations were focused on a recently developed whole-brain vessel wall CMR imaging method because of its several technical advantages over other existing slab-selective 3D IVW imaging techniques . A noteworthy feature is its more superior delineation of the outer vessel wall boundary due to an improved signal suppression in surrounding CSF . Additionally, relatively short echo time due to the use of a non-selective excitation radio-frequency pulse may contribute to better overall image SNR. Hence, quantification of vessel area, wall area, and wall thickness would potentially be more accurate.
As part of reliability analysis, the present study investigated the inter-method agreement between 3D IVW CMR and conventionally used 2D TSE. The lumen and vessel wall volume and normalized wall index measured from 3D IVW CMR showed excellent accordance with those measured from conventional 2D TSE (ICC > 0.96) despite potential registration errors. This corroborates the findings reported in the previous study . The ICCs of mean and maximum wall thickness, particularly the latter, were slightly lower, which could be explained by the fact that these measurements are more prone to outliers . Nevertheless, they generally showed excellent agreement between the two techniques. While the accuracy of the 3D technique is questionable due to the lack of histology validation, our finding suggests that this technique is at least comparable to the 2D technique and can be utilized as a more time-efficient ICAD imaging method. Given the much higher and isotropic spatial resolution and flexibility in image reformation with 3D imaging, the geometry of small lesions from the tortuous intracranial arteries would, in theory, be quantified more accurately.
In general, relatively large-sized segments exhibited higher reproducibility and smaller sample size required than small-sized segments, and the age group of ≥50 years demonstrated equal or higher reproducibility than the younger group. Additionally, the patient group demonstrated an even better reproducibility than the age group of ≥50. This is perhaps explained by the thicker vessel wall in large-sized segments and in older subjects or patients that is favorable for morphologic quantification. Our results did show that normalized wall index and mean and maximum wall thickness were significantly larger in the age group of ≥50 years versus the younger group and in the patient group versus the healthy group. The limit in spatial resolution and associated errors in image registration and contouring are thought of as major factors influencing the measurement consistency. It is noteworthy that in clinical patients who have ICAD lesions or dramatically thickened vessel wall, such an effect might be alleviated. Additionally, 0.5 mm spatial resolution provided by the whole-brain IVW CMR technique is currently the best choice given the trade-off between imaging time and diagnostic quality as recommended .
With such high reproducibility of vessel dimension measurements, whole-brain IVW CMR imaging can potentially be translated into research and clinical applications for monitoring disease progression and therapeutic response. More importantly, higher inter-scan reproducibility promises fewer participants for therapeutic trial enrollment and reduced cost. Sample sizes for MCA segment presented are higher than Zhang et al.  because they based their calculations on the standard deviation between scans while we used standard deviations resulting from the total variance decreased by the variance between scans as Mihai et al. .
There are limitations with this work. First, we focused reliability analyses on healthy subjects and only 9 patients were included. Despite relatively large vessel wall dimension in ICAD patients which favors morphologic measurement, reproducibility could be compromised by, for example, reduced image quality due to motion. Reproducibility studies based on healthy subjects have commonly been investigated in the field of vessel wall CMR imaging [9, 26, 29, 33]. The results from this type of study may provide indication of the technical performance in general populations as well as insights into planning future studies on clinical patients. Second, the 3D technique is still susceptible to motion artifacts which occurred in 6 out of 34 healthy subjects and in 1 out of 10 patients. Four of the 6 healthy subjects were still eligible for analysis as reacquisition was of acceptable image quality. Hence, our conclusion holds valid when only considering cases with acceptable diagnostic quality. Further improvement in motion resistance is clearly necessary to foster the technique’s clinical reliability. Third, the scan and rescan were performed on the same CMR scanner with the same CMR technologist. Thus, we could not estimate any variation caused by imaging scanners or between MR technologists.
In conclusion, whole-brain 3D IVW CMR is a reliable CMR imaging method for the quantification of intracranial vessel dimensions and could potentially be useful for monitoring plaque progression and regression.
Anterior cerebral artery
Distal ICA supraclinoid segment
Cardiovascular magnetic resonance
Internal carotid artery
Intracranial atherosclerotic disease
Intra-class correlation coefficient
Intracranial vessel wall
Proximal middle cerebral artery
Middle cerebral artery
Sampling Perfection with Application-optimized Contrast using different flip angle Evolutions
Distal vertebral artery
Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, Dai S, Ford ES, Fox CS, Franco S, et al. Heart disease and stroke statistics--2014 update: a report from the American Heart Association. Circulation. 2014;129(3):e28-e292.
Wong LK. Global burden of intracranial atherosclerosis. Int J Stroke. 2006;1(3):158–9.
Alexander MD, Yuan C, Rutman A, Tirschwell DL, Palagallo G, Gandhi D, Sekhar LN, Mossa-Basha M. High-resolution intracranial vessel wall imaging: imaging beyond the lumen. J Neurol Neurosurg Psychiatry. 2016;87(6):589–97.
Chung GH, Kwak HS, Hwang SB, Jin GY. High resolution MR imaging in patients with symptomatic middle cerebral artery stenosis. Eur J Radiol. 2012;81(12):4069–74.
Niizuma K, Shimizu H, Takada S, Tominaga T. Middle cerebral artery plaque imaging using 3-tesla high-resolution MRI. J Clin Neurosci. 2008;15(10):1137–41.
Xu WH, Li ML, Gao S, Ni J, Zhou LX, Yao M, Peng B, Feng F, Jin ZY, Cui LY. In vivo high-resolution MR imaging of symptomatic and asymptomatic middle cerebral artery atherosclerotic stenosis. Atherosclerosis. 2010;212(2):507–11.
Skarpathiotakis M, Mandell DM, Swartz RH, Tomlinson G, Mikulis DJ. Intracranial atherosclerotic plaque enhancement in patients with ischemic stroke. AJNR Am J Neuroradiol. 2013;34(2):299–304.
Klein IF, Lavallee PC, Mazighi M, Schouman-Claeys E, Labreuche J, Amarenco P. Basilar artery atherosclerotic plaques in paramedian and lacunar pontine infarctions: a high-resolution MRI study. Stroke. 2010;41(7):1405–9.
Qiao Y, Steinman DA, Qin Q, Etesami M, Schar M, Astor BC, Wasserman BA. Intracranial arterial wall imaging using three-dimensional high isotropic resolution black blood MRI at 3.0 tesla. J Magn Reson Imaging. 2011;34(1):22–30.
Qiao Y, Zeiler SR, Mirbagheri S, Leigh R, Urrutia V, Wityk R, Wasserman BA. Intracranial plaque enhancement in patients with cerebrovascular events on high-spatial-resolution MR images. Radiology. 2014;271(2):534–42.
Ryoo S, Cha J, Kim SJ, Choi JW, Ki CS, Kim KH, Jeon P, Kim JS, Hong SC, Bang OY. High-resolution magnetic resonance wall imaging findings of Moyamoya disease. Stroke. 2014;45(8):2457–60.
Natori T, Sasaki M, Miyoshi M, Ohba H, Katsura N, Yamaguchi M, Narumi S, Kabasawa H, Kudo K, Ito K, et al. Evaluating middle cerebral artery atherosclerotic lesions in acute ischemic stroke using magnetic resonance T1-weighted 3-dimensional vessel wall imaging. J Stroke Cerebrovasc Dis. 2014;23(4):706–11.
Sakurai K, Miura T, Sagisaka T, Hattori M, Matsukawa N, Mase M, Kasai H, Arai N, Kawai T, Shimohira M, et al. Evaluation of luminal and vessel wall abnormalities in subacute and other stages of intracranial vertebrobasilar artery dissections using the volume isotropic turbo-spin-echo acquisition (VISTA) sequence: a preliminary study. J Neuroradiol. 2013;40(1):19–28.
van der Kolk AG, Zwanenburg JJ, Brundel M, Biessels GJ, Visser F, Luijten PR, Hendrikse J. Intracranial vessel wall imaging at 7.0-T MRI. Stroke. 2011;42(9):2478–84.
Dieleman N, Yang W, Abrigo JM, Chu WC, van der Kolk AG, Siero JC, Wong KS, Hendrikse J, Chen XY. Magnetic resonance imaging of plaque morphology, burden, and distribution in patients with symptomatic middle cerebral artery stenosis. Stroke. 2016;47(7):1797–802.
van der Kolk AG, Hendrikse J, Brundel M, Biessels GJ, Smit EJ, Visser F, Luijten PR, Zwanenburg JJ. Multi-sequence whole-brain intracranial vessel wall imaging at 7.0 tesla. Eur Radiol. 2013;23(11):2996–3004.
Wang J, Helle M, Zhou Z, Bornert P, Hatsukami TS, Yuan C. Joint blood and cerebrospinal fluid suppression for intracranial vessel wall MRI. Magn Reson Med. 2016;75(2):831–8.
Fan Z, Yang Q, Deng Z, Li Y, Bi X, Song S, Li D. Whole-brain intracranial vessel wall imaging at 3 tesla using cerebrospinal fluid-attenuated T1-weighted 3D turbo spin echo. Magn Reson Med. 2017;77(3):1142–50.
Yang H, Zhang X, Qin Q, Liu L, Wasserman BA, Qiao Y. Improved cerebrospinal fluid suppression for intracranial vessel wall MRI. J Magn Reson Imaging. 2016;44(3):665–72.
Yang Q, Deng Z, Bi X, Song SS, Schlick KH, Gonzalez NR, Li D, Fan Z. Whole-brain vessel wall MRI: a parameter tune-up solution to improve the scan efficiency of three-dimensional variable flip-angle turbo spin-echo. J Magn Reson Imaging. 2017;46(3):751–7.
Zhao XQ, Dong L, Hatsukami T, Phan BA, Chu B, Moore A, Lane T, Neradilek MB, Polissar N, Monick D, et al. MR imaging of carotid plaque composition during lipid-lowering therapy a prospective assessment of effect and time course. JACC Cardiovasc Imaging. 2011;4(9):977–86.
Underhill HR, Yuan C, Zhao XQ, Kraiss LW, Parker DL, Saam T, Chu B, Takaya N, Liu F, Polissar NL, et al. Effect of rosuvastatin therapy on carotid plaque morphology and composition in moderately hypercholesterolemic patients: a high-resolution magnetic resonance imaging trial. Am Heart J. 2008;155(3):584. e581–588
Corti R, Fuster V, Fayad ZA, Worthley SG, Helft G, Chaplin WF, Muntwyler J, Viles-Gonzalez JF, Weinberger J, Smith DA, et al. Effects of aggressive versus conventional lipid-lowering therapy by simvastatin on human atherosclerotic lesions: a prospective, randomized, double-blind trial with high-resolution magnetic resonance imaging. J Am Coll Cardiol. 2005;46(1):106–12.
Fernandes JL, Serrano CV Jr, Blotta MH, Coelho OR, Nicolau JC, Avila LF, Rochitte CE, Parga Filho JR. Regression of coronary artery outward remodeling in patients with non-ST-segment acute coronary syndromes: a longitudinal study using noninvasive magnetic resonance imaging. Am Heart J. 2006;152(6):1123–32.
Qiao Y, Guallar E, Suri FK, Liu L, Zhang Y, Anwar Z, Mirbagheri S, Xie YJ, Nezami N, Intrapiromkul J, et al. MR imaging measures of intracranial atherosclerosis in a population-based study. Radiology. 2016;280(3):860–8.
Kroner ES, Westenberg JJ, van der Geest RJ, Brouwer NJ, Doornbos J, Kooi ME, van der Wall EE, Lamb HJ, Siebelink HJ. High field carotid vessel wall imaging: a study on reproducibility. Eur J Radiol. 2013;82(4):680–5.
Yang WQ, Huang B, Liu XT, Liu HJ, Li PJ, Zhu WZ. Reproducibility of high-resolution MRI for the middle cerebral artery plaque at 3T. Eur J Radiol. 2014;83(1):e49–55.
Zhang X, Zhu C, Peng W, Tian B, Chen L, Teng Z, Lu J, Sadat U, Saloner D, Liu Q. Scan-rescan reproducibility of high resolution magnetic resonance imaging of atherosclerotic plaque in the middle cerebral artery. PLoS One. 2015;10(8):e0134913.
Alizadeh Dehnavi R, Doornbos J, Tamsma JT, Stuber M, Putter H, van der Geest RJ, Lamb HJ, de Roos A. Assessment of the carotid artery by MRI at 3T: a study on reproducibility. J Magn Reson Imaging. 2007;25(5):1035–43.
Li F, Yarnykh VL, Hatsukami TS, Chu B, Balu N, Wang J, Underhill HR, Zhao X, Smith R, Yuan C. Scan-rescan reproducibility of carotid atherosclerotic plaque morphology and tissue composition measurements using multicontrast MRI at 3T. J Magn Reson Imaging. 2010;31(1):168–76.
Mandell DM, Mossa-Basha M, Qiao Y, Hess CP, Hui F, Matouk C, Johnson MH, Daemen MJ, Vossough A, Edjlali M, et al. Intracranial Vessel Wall MRI: principles and expert consensus recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol. 2017;38(2):218–29.
Mihai G, Varghese J, Lu B, Zhu H, Simonetti OP, Rajagopalan S. Reproducibility of thoracic and abdominal aortic wall measurements with three-dimensional, variable flip angle (SPACE) MRI. J magn reson Imaging. 2015;41(1):202–12.
Eikendal AL, Blomberg BA, Haaring C, Saam T, van der Geest RJ, Visser F, Bots ML, den Ruijter HM, Hoefer IE, Leiner T. 3D black blood VISTA vessel wall cardiovascular magnetic resonance of the thoracic aorta wall in young, healthy adults: reproducibility and implications for efficacy trial sample sizes: a cross-sectional study. J cardiovasc Magn Reson. 2016;18:20.
The authors thank Laura G. Smith and Gill Edward for their help in conducting the imaging experiments.
This work was supported in part by American Heart Association (15SDG25710441), National Institutes of Health (NHLBI 2R01HL096119), National Natural Science Foundation of China (81301216 and 81327801), National Key R&D Program of China (2016YFC0100100), Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province (2014B030301013), Shenzhen Science and Technology Program (JCYJ20170413161350892).
Availability of data and materials
All data generated or analysed during this study are included in this published article and its supplementary information files.
Ethics approval and consent to participate
This study was approved by the local institutional review board at Cedars-Sinai Medical Center (IRB 25881).
Consent for publication
Written informed consent for the publication was obtained from all subjects.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Table S1. Segment-based vessel wall and lumen measurements and corresponding ICC values of inter-scan, intra-observer, and inter-observer reproducibility of 3D intracranial vessel wall CMR in healthy subjects. Table S2. Agreement between 3D and 2D intracranial vessel wall CMR in the quantification of vessel dimensions. All vessel wall and lumen measurements are presented as means ± standard deviations. Table S3. Sample Sizes per Group for differences of 5%, 10%, 15%, and 20% from placebo group mean estimated based on the inter-scan analysis. (DOCX 27 kb)
About this article
Cite this article
Zhang, N., Zhang, F., Deng, Z. et al. 3D whole-brain vessel wall cardiovascular magnetic resonance imaging: a study on the reliability in the quantification of intracranial vessel dimensions. J Cardiovasc Magn Reson 20, 39 (2018). https://doi.org/10.1186/s12968-018-0453-z
- Intracranial vessel wall morphology
- Vessel wall imaging
- Magnetic resonance imaging
- Intracranial atherosclerotic disease