- Open Access
Nonenhanced hybridized arterial spin labeled magnetic resonance angiography of the extracranial carotid arteries using a fast low angle shot readout at 3 Tesla
Journal of Cardiovascular Magnetic Resonance volume 18, Article number: 18 (2016)
To evaluate ungated nonenhanced hybridized arterial spin labeling (hASL) magnetic resonance angiography (MRA) of the extracranial carotid arteries using a fast low angle shot (FLASH) readout at 3 Tesla.
In this retrospective, institutional review board-approved and HIPAA-compliant study, we evaluated the image quality (4-point scale) of nonenhanced hASL MRA using a FLASH readout with respect to contrast-enhanced MRA (CEMRA) in 37 patients presenting with neurologic symptoms. Two certified neuroradiologists independently evaluated 407 arterial segments (11 per patient) for image quality. The presence of vascular pathology was determined by consensus reading. Gwet’s AC1 was used to assess inter-rater agreement in image quality scores, and image quality scores were correlated with age and body mass index. Objective measurements of arterial lumen area and sharpness in the carotid arteries were compared to values obtained with CEMRA. Comparisons were also made with conventional nonenhanced 2D time-of-flight (TOF) MRA.
CEMRA provided the best image quality, while nonenhanced hASL FLASH MRA provided image quality that exceeded 2D TOF at the carotid bifurcation and in the internal and external carotid arteries. All nine vascular abnormalities of the carotid and intracranial arteries detected by CEMRA were depicted with hASL MRA, with no false positives. Inter-rater agreement of image quality scores was highest for CEMRA (AC1 = 0.87), followed by hASL (AC1 = 0.61) and TOF (AC1 = 0.43) (P < 0.001, all comparisons). With respect to CEMRA, agreement in cross-sectional lumen area was significantly better with hASL than TOF in the common carotid artery (intraclass correlation (ICC) = 0.90 versus 0.66; P < 0.05) and at the carotid bifurcation (ICC = 0.87 versus 0.54; P < 0.05). Nonenhanced hASL MRA provided superior arterial sharpness with respect to CEMRA and 2D TOF (P < 0.001).
Although inferior to CEMRA in terms of image quality and inter-rater agreement, hASL FLASH MRA offers an alternative to 2D TOF for the nonenhanced evaluation of the extracranial carotid arteries at 3 Tesla. Compared with 2D TOF, nonenhanced hASL FLASH MRA provides improved quantification of arterial cross-sectional area, vessel sharpness, inter-rater agreement and image quality.
Disorders of the extracranial carotid arteries including stenoses, dissections and aneurysms are frequently evaluated using contrast-enhanced magnetic resonance angiography (CEMRA). However, CEMRA is contraindicated in patients with moderate to severe renal insufficiency, which can be present in over 25 % of patients with stroke [1–4]. Furthermore, in patients with suspected stroke, contrast agents may be reserved for the assessment of cerebral perfusion .
Nonenhanced MRA may address the above drawbacks of CEMRA. Time-of-flight (TOF) magnetic resonance angiography (MRA) is a well-established and easy-to-use method for diagnosing disorders of the extracranial carotid arteries without the use of contrast agents [6–10]. Although it is often used in clinical practice, TOF has well-known drawbacks including artifacts from saturation and dephasing of flowing spins, as well as limited vascular coverage with respect to CEMRA . To address the shortcomings of TOF, as well as to potentially better serve patients with renal insufficiency, alternate nonenhanced MRA techniques have been reported, including inversion-recovery fast spin-echo or balanced steady-state free precession (bSSFP) angiography [12–14], and quiescent-interval slice-selective (QISS) angiography using a fast low-angle shot (FLASH) readout . Raoult and colleagues  postulated that better suppression of static background tissue would likely improve the clinical utility of nonenhanced MRA of the extracranial carotid arteries, and mentioned that arterial spin labeling (ASL) methods, initially described long ago [16, 17], might achieve this.
Recent work has reported the potential of advanced ASL-based MRA for imaging arteries of the head and neck with complete suppression of static background signal [18–20]. In particular, a hybrid of pseudo-continuous and pulsed ASL (hASL) has been shown to efficiently portray long lengths of the extracranial carotid arteries at 1.5 Tesla without the need for cardiac gating , with a FLASH variant providing the most accurate portrayal of stenoses in vitro . On the basis of these reports, our department incorporated an ungated 3D FLASH variant of hASL MRA into the standard-of-care neck MRA exam at 3 Tesla to serve as a pre-contrast scout for clinical purposes only. The purpose of this retrospective study was to evaluate the image quality of this clinical scout protocol for portraying the extracranial carotid arteries at 3 Tesla in patients undergoing 2D TOF and CEMRA protocols.
In this retrospective, Health Insurance Portability and Accountability Act-compliant study, a waiver of the requirement for patient consent was approved by the institutional review board of NorthShore University HealthSystem. Nonenhanced 3D hASL MRA was acquired as a clinical scout scan prior to injection of contrast media in consecutive patients who were referred for neck MRA with and without contrast material.
Study inclusion criteria were age ≥18 years and referral based on the clinical suspicion of stenosis or stroke and evaluation with TOF, hASL MRA, and CEMRA. Study exclusion criteria included the following: contraindications to cardiovascular magnetic resonance (CMR), renal impairment that precluded CEMRA (defined by glomerular filtration rate lower than 30 mL/min/1.73 m2), inability to complete or non-diagnostic image quality on any of the three MRA acquisitions (hASL, TOF, CEMRA), and previous arterial revascularization including stent placement. No scans were re-acquired in the case of non-diagnostic image quality.
Imaging system and protocols
Imaging was performed on a 3 Tesla CMR system (MAGNETOM Skyra, Siemens Healthcare, Erlangen, Germany) having a maximum gradient strength of 45mT/m and a maximum slew rate of 200mT/m/ms. The CMR signal was received by a 20-channel head and neck coil (Head/Neck 20, Siemens Healthcare, Erlangen, Germany). Imaging was performed with 2D TOF MRA, 3D hASL MRA, and 3D CEMRA. TOF and CEMRA were acquired using institutional standard-of-care protocols. CEMRA was performed using 0.1 mmol/kg of gadobutrol (Gadavist, Bayer HealthCare, Whippany, NJ) injected in an antecubital vein at 2 mL/s. Imaging parameters for all protocols are listed in Table 1.
hASL MRA consisted of a prototype ungated 3D coronal FLASH readout (Fig. 1) that was preceded by pseudo-continuous  and pulsed  radiofrequency (RF) labeling; the timing of the sequence was similar to that of a prior report  with minor differences to account for the use of a FLASH readout (see Fig. 1 caption for details). Locations of RF labeling planes were transparent to the CMR operator; the operator positioned the coronal slab over the carotid arteries (centering at the approximate level of the carotid bifurcations) and executed the scan.
After data acquisition, image processing was performed on a workstation (Leonardo; Siemens Healthcare, Erlangen, Germany) by a CMR scientist (I.K.) who did not participate in image scoring. After non-vascular background tissue was cropped using a 3D volume visualization and editing tool, rotating maximum intensity projection (MIP) image sets (72 projections separated by 5°) were created from each MR angiographic volume. These image sets were anonymized, randomized and then independently reviewed by two certified neuroradiologists (M.W. and J.M.). The neuroradiologists were blinded to the patient name, the clinical history of the patient, and the results of other diagnostic procedures.
Image quality was scored for the following 11 locations: 1 and 2 - bilateral common carotid arteries; 3 and 4 - bilateral carotid bulb and proximal internal carotid arteries; 5 and 6 - bilateral mid-cervical internal carotid arteries; 7 and 8 - bilateral petrous internal carotid arteries; 9 and 10 - bilateral external carotid arteries; and 11 - intracranial arteries. The following 4-point scoring system was used: 1 = non-diagnostic, barely visible lumen rendering the segment non-diagnostic; 2 = fair, ill-defined vessel borders with suboptimal image quality for diagnosis; 3 = good, with some minor inhomogeneities not influencing vessel delineation; and 4 = excellent, sharply defined arterial borders with excellent image quality for highly confident diagnosis.
The presence of arterial pathology was noted independently by both reviewers; discrepancies were settled by consensus review.
In each patient, measurements of arterial cross-sectional area and arterial sharpness were obtained in one randomly selected artery per subject, similar to the approach of Kramer et al. . Source images were loaded into 3D image analysis software (Leonardo, Siemens Healthcare, Erlangen, Germany) where axial source reformations were created at three locations (Fig. 2a): location 1 - at the level of the flow divider of the carotid bifurcation, location 2 - common carotid artery two centimeters below location 1, and location 3 - two centimeters above location 1 through the proximal internal carotid artery. Cross-sectional measurements of arterial lumen area for hASL and TOF were compared to CEMRA, which served as the reference standard. Arterial lumen area measurements were obtained in an objective manner by computing the area enclosed by the full-width-at-half-maximum signal points of 60 radial spokes emanating from the center of the vessel (Fig. 2b) . Arterial sharpness at the carotid bifurcation (location 1) was measured as the inverse of the distance between the 20th and 80th percentile points in the 60 spokes ; the median sharpness value across the 60 spokes was used.
Statistical analysis of data
Statistical analysis was performed using R software (version 3.2.1, The R Foundation for Statistical Computing, Vienna, Austria). In handling missing scoring data which occurred if an arterial location was outside the imaged field of view, list-wise deletion was used for comparisons involving three groups while pair-wise deletion was used for comparisons involving two groups.
Due to the inability to conduct the quantitative and diagnostic analyses above, and because no attempts were made to re-acquire scans with non-diagnostic image quality, patients with at least one imaging scan having non-diagnostic image quality (as assessed by median image quality of <2 across 11 segments by at least one reviewer) were excluded from further analysis. Excluded cases were reviewed by a CMR scientist (I.K.) to determine the cause of artifact. In the remaining data, differences in image quality scores between techniques were identified using non-parametric Friedman tests and post-hoc Wilcoxon signed-rank tests. Inter-rater agreement was computed using Gwet’s AC1, which is more reliable than Cohen’s κ when there is a high level of agreement . AC1 was interpreted as follows: 0.01–0.20, slight agreement; 0.21–0.40, fair agreement, 0.41–0.60, moderate agreement; 0.61–0.80, substantial agreement; and 0.81–0.99, almost perfect agreement . The spearman rank correlation coefficient (ρ) was used to evaluate whether image quality (as summarized by the median image quality score across 11 arterial locations and both reviewers) was correlated with age and body mass index (BMI). Agreement of quantitative cross-sectional arterial area measurements was assessed by intraclass correlation coefficient (ICC) and Bland-Altman analysis . Differences in arterial sharpness between techniques were determined using repeated measures analysis of variance with post-hoc Tukey testing. Differences in proportions of diagnostic scans were assessed using a 3-sample test for equality of proportions. P-values less than 0.05 indicated statistical significance.
Between October 2014 and January 2015, 45 patients underwent MRA of their carotid arteries using hASL, TOF and CEMRA in the same scan session. Eight patients were excluded from analysis due to non-diagnostic studies (median image quality of <2) on either hASL (n = 5) and TOF (n = 3) exams, leaving data from 37 patients (13 men, 24 women; mean age, 67.5 ± 15.7 years) which were included in our analysis. The percentage of scans with diagnostic image quality (i.e. median image quality scores of ≥2 by both reviewers) was 88.9 % (40/45) for hASL, 93.3 % (42/45) for TOF, and 100 % (45/45) for CEMRA (P = NS between techniques). All eight non-diagnostic scans were attributed to motion artifact. Indications for imaging in the remaining 37 patients included dysphasia (n = 8), dizziness (n = 6), weakness (n = 4), transient ischemic attack (n = 3), headaches (n = 2), visual field deficit (n = 2), amnesia (n = 2), confusion (n = 2), diplopia (n = 2), pulsatile tinnitus (n = 2), suspected carotid dissection (n = 1), aneurysm (n = 1), infarct (n = 1) and vertigo (n = 1).
Qualitative analysis: summary and segmental analysis
A total of 407 arterial locations (37 subjects, 11 locations/subject) were analyzed. Excluding arterial locations outside the field of view (3 of 407 for CEMRA, 14 of 407 for hASL MRA, and 89 of 407 for TOF MRA), a total of 318 locations were portrayed by all three techniques. Each of these 318 locations was interpreted by two reviewers, resulting in a total of 636 evaluations.
Representative angiograms obtained with hASL MRA at 3 Tesla are shown in Figs. 3 and 4. With hASL, the intracranial arteries were visualized if the field of view was sufficiently large in the head-foot direction (Fig. 5). Image quality scores and inter-rater agreement values for each technique with respect to location are summarized in Table 2. CEMRA provided significantly better image quality than the nonenhanced techniques across all arterial locations for both reviewers, except in the left and right carotid siphons (P < 0.05), where image quality between CEMRA and nonenhanced hASL MRA did not significantly differ for reviewer 2. When scores were aggregated across all locations, CEMRA provided the best image quality, with median scores of 4 for both reviewers (P < 0.001), followed by hASL MRA (median scores of 4 and 3 for reviewers 1 and 2) and 2D TOF (median scores of 3 and 2 for reviewers 1 and 2).
For both reviewers, hASL MRA provided better image quality than TOF in the following 8 locations of the extracranial carotid arteries: bilateral proximal internal carotid arteries (ICAs), bilateral mid-cervical ICAs, bilateral petrous ICAs, and bilateral external carotid arteries (P < 0.05). Reviewers 1 and 2 scored the left and right common carotid arteries better with hASL than with TOF, respectively. For the intracranial arteries (which were not assessable by 2D TOF because of limited axial coverage), image quality scores for non-contrast hASL MRA (median/mean values of 2.0/2.4 and 2.0/2.5 for reviewers 1 and 2, respectively) and CEMRA (median/mean values of 3.0/2.7 and 3.0/2.9) significantly differed (P < 0.05) for reviewer 2 but not reviewer 1.
Qualitative analysis: inter-rater agreement
Inter-rater agreement in the carotid arteries was substantial for hASL MRA (AC1 = 0.61, 95 % confidence interval (CI): 0.54–0.67; P < 0.001), moderate for TOF MRA (AC1 = 0.43, 95 % CI: 0.36–0.50; P < 0.001) and almost perfect for CEMRA (AC1 = 0.87, 95 % CI: 0.83–0.91; P < 0.001). In the intracranial arteries, inter-rater agreement was fair for both hASL MRA (AC1 = 0.60, P < 0.001) and CEMRA (AC1 = 0.55, P < 0.001).
Qualitative analysis: impact of age and body mass index
There were no significant correlations between image quality and age for hASL (ρ = 0.08, P = 0.62), TOF (ρ = -0.31, P = 0.07) and CEMRA (ρ = -0.09, P = 0.59). Similarly, there were no significant correlations between image quality and body mass index for hASL (ρ =−0.06, P = 0.73), TOF (ρ = 0.01, P = 0.96) and CEMRA (ρ =−0.01, P = 0.95).
Detection of arterial pathology
Using CEMRA as the reference standard, hASL MRA detected 5 of 5 instances of internal carotid arterial pathology (4 stenoses, 1 fibromuscular dysplasia) with no false positives, and 4 of 4 instances of intracranial arterial pathology (3 aneurysms, 1 middle cerebral artery stenosis) with no false positives. Due to limitations in image quality, only 2 of the 5 instances of carotid pathology (2 stenoses) were detected using TOF MRA; there were no false positive findings with TOF. Intracranial pathology was not evaluable by TOF due to insufficient coverage.
Measurements of cross-sectional lumen area are summarized in Fig. 6. Compared to CEMRA, better agreement of cross-sectional lumen area was obtained with hASL MRA than with TOF at the common carotid artery (ICC = 0.90 for hASL versus 0.66 for TOF, P < 0.05), carotid bifurcation (ICC = 0.87 versus 0.53, P < 0.05), and internal carotid artery (ICC = 0.65 versus 0.57). Results of the Bland-Altman analyses are shown in Table 3. hASL MRA had smaller absolute biases and smaller to comparable 95 % limits of agreement for cross-sectional lumen area as compared with TOF MRA. The three techniques differed in arterial sharpness (P < 0.001). Arterial sharpness was best with hASL MRA (0.74 ± 0.12 mm-1) (P < 0.001 versus TOF and CEMRA), followed by TOF (0.63 ± 0.13 mm-1) and CEMRA (0.57 ± 0.10 mm-1), which did not statistically differ.
In this retrospective study, we investigated whether ungated hASL MRA using a FLASH readout and Cartesian k-sampling trajectory could faithfully display the extracranial carotid arteries at 3 Tesla without the use of contrast agents. Our results indicate the affirmative. Although inferior to CEMRA, image quality obtained with hASL MRA was found to be superior to 2D TOF for displaying the carotid bifurcation, internal carotid arteries and external carotid arteries. In addition, inter-rater agreement was improved with hASL MRA as compared with TOF MRA. Furthermore, compared with values obtained with TOF, measurements of cross-sectional arterial area obtained with hASL better agreed with values obtained from first-pass CEMRA. Finally, arterial sharpness provided by hASL MRA was improved with respect to TOF and CEMRA.
Of the three techniques available for comparison in this study, CEMRA provided the best image quality and inter-rater agreement in the extracranial carotid arteries. This finding is not unexpected given that CEMRA is a fast, reliable and accurate technique for evaluating the extracranial carotid arteries at 1.5 and 3 Tesla [29–34]. For patients in whom Gd-based contrast is contraindicated or when it is useful to save contrast for other purposes (such as the assessment of cerebral perfusion in patients with suspected stroke), however, nonenhanced MRA remains an important diagnostic option. Nonenhanced MRA is also useful backup in circumstances when CEMRA is mistimed with respect to first-pass of contrast bolus and there is insufficient delineation of the carotid arteries due to an early acquisition, or considerable venous contamination due to a late acquisition. Also, given the growing concern of Gd accumulation in the brain following contrast-enhanced CMR studies with unknown long-term consequences [35, 36], review of high-quality nonenhanced MRA may afford one the option of skipping CEMRA.
Nonenhanced 2D TOF is routinely used for depicting the extracranial carotid arteries prior to CEMRA and in patients who cannot receive Gd-based contrast agents. In this study, hASL MRA provided better image quality than 2D TOF MRA at the carotid bulb and in the internal and external carotid arteries. The improved image quality of hASL for depicting the carotid arteries relative to 2D TOF is consistent with prior reports at 1.5 Tesla using bSSFP readouts [20, 21], and is ascribed to the method’s elimination of background signal, reduced sensitivity to saturation of the CMR signal from in-plane and recirculating blood flow, and higher spatial resolution in the head-foot direction. These results are also consistent with an in-vitro study that found that hASL FLASH MRA more accurately portrayed carotid arterial morphology than 2D and 3D TOF over a wide range of physiological flow rates . In this work, we did not compare hASL to 3D TOF, which more accurately displays stenoses of the carotid bifurcation than 2D TOF [10, 37]. Nevertheless, it would have been impractical to acquire 3D TOF spanning the entire length of the extracranial carotid arteries due to scan time considerations and respiratory motion in the upper chest.
To our knowledge, this is the first study reporting the feasibility of using ASL-based MRA for portraying the extracranial carotid arteries in consecutive patients imaged in a clinical environment. Prior works have reported the feasibility of ASL-based MRA for depicting the carotid arteries of non-consecutive patients imaged in a non-clinical research environment [16, 17, 20, 21]. The results of our study therefore indicate that hASL MRA of the extracranial carotid arteries is feasible and can be performed by CMR technologists without the need for special training or expertise.
Recent works have reported the following nonenhanced alternatives to TOF for the evaluation of the extracranial carotid arteries at 3 Tesla: inversion-recovery bSSFP [12, 13]; inversion-recovery fast spin-echo ; and QISS using a FLASH readout . Direct comparisons of hASL MRA with these recent methods were outside the scope of this retrospective study. Nonetheless, the following statements can be made after careful examination of the literature. Compared with hASL MRA, inversion-recovery bSSFP methods are expected to provide reduced scan times and motion sensitivity, due to the lack of signal subtraction. On the other hand, inversion-recovery protocols only partially suppress signal from background tissues such as muscle, fat and cerebrospinal fluid. This is in stark contrast to hASL MRA which eliminates background signal and therefore allows for the creation of rotating MIP images similar to what is done with CEMRA, without requiring one to first remove background signal prior to MIP generation (of note, background signal was removed for all image sets in this study to facilitate the fairest comparisons, but such processing was not necessary for hASL MRA). Furthermore, the FLASH readout used with hASL MRA is less sensitive than bSSFP imaging to B0 and B1 inhomogeneity, which are worsened at 3 Tesla . To date, cardiac-gated inversion-recovery fast spin-echo angiography has provided promising initial results in volunteers, but the approach has used larger voxel sizes of 3.5 mm3 (versus 1.0 mm3 voxels for hASL MRA) and has been unable to visualize intracranial arteries due to dephasing of the CMR signal at the skull base . In comparison, intracranial vessels were depicted with fair to good image quality with hASL MRA in the present study.
We did not evaluate the thoracic inlet in this study because of the lack of respiratory motion compensation. The recently described approach of cardiac-gated QISS FLASH MRA , which uses tilted overlapping thin slices, is expected to provide for better display the thoracic inlet and carotid origins than hASL MRA. Conversely, drawbacks of QISS FLASH MRA include the need for cardiac gating and the slice resolution constraints associated with 2D imaging. With respect to prior implementations of hASL MRA at 1.5 Tesla that have used radial sampling trajectories and bSSFP readouts [21, 22], the presented variant of hASL MRA (which applies a Cartesian sampling trajectory and a FLASH readout) is simpler to implement and is less sensitive to artifacts from gradient timing errors and main magnetic field inhomogeneity, especially at 3 Tesla, the preferred field strength for clinical neurovascular MRA [39–41]. Finally, compared with variants using bSSFP readouts, the use of a FLASH readout is expected to improve the display of turbulent flow near severe carotid stenoses .
This study had some limitations. One limitation is that there was a relatively low incidence of carotid arterial pathology in our cohort (13.5 %, 5 of 37 patients), reflecting the breadth of patients with neurologic symptoms undergoing carotid MRA. Nonetheless, nonenhanced hASL MRA detected all instances of carotid disease observed at CEMRA without any false positives; by comparison, limitations in image quality for 2D TOF resulted in 3 false negative findings. Another limitation is the exclusion of 8 of 45 patients because of non-diagnostic image quality caused by motion artifact. Even though the proportion of diagnostic scans between the three techniques (hASL, TOF, CEMRA) did not reach statistical significance, all non-diagnostic MRA scans were nonenhanced. In our experience, motion-corrupted nonenhanced MRA can often be salvaged by reminding the patient to hold still and re-acquiring the scan; of note, re-acquisition was not attempted for any scan included in this retrospective study.
In the display of intracranial vessels, subtractive arterial spin-labeled MRA has previously demonstrated the ability to depict flow alterations, collateral flow patterns and arterio-venous malformations within the brain [19, 42–47]. The display of intracranial arteries and CEMRA-confirmed intracranial aneurysms and stenoses in our study is in general agreement with these prior works and suggests that hASL MRA at 3 Tesla using a FLASH readout may have a role in the simultaneous evaluation of extracranial and intracranial arteries in a single nonenhanced acquisition.
hASL FLASH MRA offers an appealing alternative to 2D TOF MRA for nonenhanced MRA of the extracranial carotid arteries at 3 Tesla. The hASL FLASH MRA protocol may have utility as a pre-contrast scout, in the assessment of the carotid arteries in patients with renal insufficiency, and when it is desirable to save contrast agents for cerebral perfusion imaging.
Arterial spin labeling
balanced steady-state free precession
common carotid artery
contrast-enhanced magnetic resonance angiography
cardiovascular magnetic resonance
external carotid artery
fast low-angle shot
hybridized arterial spin labeling
internal carotid artery
magnetic resonance angiography
quiescent interval slice-selective
time of flight
Kuo PH, Kanal E, Abu-Alfa AK, Cowper SE. Gadolinium-based MR contrast agents and nephrogenic systemic fibrosis. Radiology. 2007;242(3):647–9.
Saeed F, Kousar N, Qureshi K, Laurence TN. A review of risk factors for stroke in patients with chronic kidney disease. J Vasc Interv Neurol. 2009;2(1):126–31.
Kidney Disease Statistics for the United States. 2012. http://www.niddk.nih.gov/health-information/health-statistics/Pages/kidney-disease-statistics-united-states.aspx. Accessed 15 Jan 2016.
Mozaffarian D, Benjamin EJ, Go AS, et al. Heart disease and stroke statistics-2015 update: a report from the american heart association. Circulation. 2015;131(4):e29–e322.
Jahng GH, Li KL, Ostergaard L, Calamante F. Perfusion magnetic resonance imaging: a comprehensive update on principles and techniques. Korean J Radiol. 2014;15(5):554–77.
Keller PJ, Drayer BP, Fram EK, Williams KD, Dumoulin CL, Souza SP. MR angiography with two-dimensional acquisition and three-dimensional display. Work in progress. Radiology. 1989;173(2):527–32.
Masaryk AM, Ross JS, DiCello MC, Modic MT, Paranandi L, Masaryk TJ. 3DFT MR angiography of the carotid bifurcation: potential and limitations as a screening examination. Radiology. 1991;179(3):797–804.
Blatter DD, Bahr AL, Parker DL, Robison RO, Kimball JA, Perry DM, Horn S. Cervical carotid MR angiography with multiple overlapping thin-slab acquisition: comparison with conventional angiography. AJR Am J Roentgenol. 1993;161(6):1269–77.
Huston 3rd J, Lewis BD, Wiebers DO, Meyer FB, Riederer SJ, Weaver AL. Carotid artery: prospective blinded comparison of two-dimensional time-of-flight MR angiography with conventional angiography and duplex US. Radiology. 1993;186(2):339–44.
De Marco JK, Nesbit GM, Wesbey GE, Richardson D. Prospective evaluation of extracranial carotid stenosis: MR angiography with maximum-intensity projections and multiplanar reformation compared with conventional angiography. AJR Am J Roentgenol. 1994;163(5):1205–12.
Yucel EK, Anderson CM, Edelman RR, Grist TM, Baum RA, Manning WJ, Culebras A, Pearce W. AHA scientific statement. Magnetic resonance angiography : update on applications for extracranial arteries. Circulation. 1999;100(22):2284–301.
Kramer H, Runge VM, Morelli JN, Williams KD, Naul LG, Nikolaou K, Reiser MF, Wintersperger BJ. Magnetic resonance angiography of the carotid arteries: comparison of unenhanced and contrast enhanced techniques. Eur Radiol. 2011;21(8):1667–76.
Raoult H, Gauvrit JY, Schmitt P, Le Couls V, Bannier E. Non-ECG-gated unenhanced MRA of the carotids: optimization and clinical feasibility. Eur Radiol. 2013;23(11):3020–8.
Takei N, Miyoshi M, Kabasawa H. Noncontrast MR angiography for supraaortic arteries using inflow enhanced inversion recovery fast spin echo imaging. J Magn Reson Imaging. 2012;35(4):957–62.
Koktzoglou I, Murphy IG, Giri S, Edelman RR. Quiescent interval low angle shot magnetic resonance angiography of the extracranial carotid arteries. Magn Reson Med 2015.
Nishimura DG, Macovski A, Pauly JM, Conolly SM. MR angiography by selective inversion recovery. Magn Reson Med. 1987;4(2):193–202.
Edelman RR, Siewert B, Adamis M, Gaa J, Laub G, Wielopolski P. Signal targeting with alternating radiofrequency (STAR) sequences: application to MR angiography. Magn Reson Med. 1994;31(2):233–8.
Robson PM, Dai W, Shankaranarayanan A, Rofsky NM, Alsop DC. Time-resolved vessel-selective digital subtraction MR angiography of the cerebral vasculature with arterial spin labeling. Radiology. 2010;257(2):507–15.
Yan L, Wang S, Zhuo Y, Wolf RL, Stiefel MF, An J, Ye Y, Zhang Q, Melhem ER, Wang DJ. Unenhanced dynamic MR angiography: high spatial and temporal resolution by using true FISP-based spin tagging with alternating radiofrequency. Radiology. 2010;256(1):270–9.
Koktzoglou I, Gupta N, Edelman RR. Nonenhanced extracranial carotid MR angiography using arterial spin labeling: improved performance with pseudocontinuous tagging. J Magn Reson Imaging. 2011;34(2):384–94.
Koktzoglou I, Meyer JR, Ankenbrandt WJ, Giri S, Piccini D, Zenge MO, lanagan O, Desai T, Gupta N, Edelman RR. Nonenhanced arterial spin labeled carotid MR angiography using three-dimensional radial balanced steady-state free precession imaging. J Magn Reson Imaging. 2015;41(4):1150–6.
Koktzoglou I, Giri S, Piccini D, Grodzki DM, Flanagan O, Murphy IG, Gupta N, Collins JD, Edelman RR. Arterial spin labeled carotid MR angiography: A phantom study examining the impact of technical and hemodynamic factors. Magn Reson Med. 2016;75(1):295-301.
Dai W, Garcia D, de Bazelaire C, Alsop DC. Continuous flow-driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields. Magn Reson Med. 2008;60(6):1488–97.
Merkx MA, Bescos JO, Geerts L, Bosboom EM, van de Vosse FN, Breeuwer M. Accuracy and precision of vessel area assessment: manual versus automatic lumen delineation based on full-width at half-maximum. J Magn Reson Imaging. 2012;36(5):1186–93.
Li D, Carr JC, Shea SM, Zheng J, Deshpande VS, Wielopolski PA, Finn JP. Coronary arteries: magnetization-prepared contrast-enhanced three-dimensional volume-targeted breath-hold MR angiography. Radiology. 2001;219(1):270–7.
Gwet KL. Computing inter-rater reliability and its variance in the presence of high agreement. Br J Math Stat Psychol. 2008;61(Pt 1):29–48.
Viera AJ, Garrett JM. Understanding interobserver agreement: the kappa statistic. Fam Med. 2005;37(5):360–3.
Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1(8476):307–10.
Phan T, Huston 3rd J, Bernstein MA, Riederer SJ, Brown Jr RD. Contrast-enhanced magnetic resonance angiography of the cervical vessels: experience with 422 patients. Stroke. 2001;32(10):2282–6.
Carr JC, Ma J, Desphande V, Pereles S, Laub G, Finn JP. High-resolution breath-hold contrast-enhanced MR angiography of the entire carotid circulation. AJR Am J Roentgenol. 2002;178(3):543–9.
Willinek WA, von Falkenhausen M, Born M, Gieseke J, Holler T, Klockgether T, extor HJ, Schild HH, Urbach H. Noninvasive detection of steno-occlusive disease of the supra-aortic arteries with three-dimensional contrast-enhanced magnetic resonance angiography: a prospective, intra-individual comparative analysis with digital subtraction angiography. Stroke. 2005;36(1):38–43.
Nael K, Villablanca JP, Pope WB, McNamara TO, Laub G, Finn JP. Supraaortic arteries: contrast-enhanced MR angiography at 3.0 T--highly accelerated parallel acquisition for improved spatial resolution over an extended field of view. Radiology. 2007;242(2):600–9.
Willinek WA, Bayer T, Gieseke J, von Falkenhausen M, Sommer T, Hoogeveen R, Wilhelm K, Urbach H, Schild HH. High spatial resolution contrast-enhanced MR angiography of the supraaortic arteries using the quadrature body coil at 3.0 T: a feasibility study. Eur Radiol. 2007;17(3):618–25.
Menke J. Diagnostic accuracy of contrast-enhanced MR angiography in severe carotid stenosis: meta-analysis with metaregression of different techniques. Eur Radiol. 2009;19(9):2204–16.
Kanda T, Ishii K, Kawaguchi H, Kitajima K, Takenaka D. High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology. 2014;270(3):834–41.
McDonald RJ, McDonald JS, Kallmes DF, Jentoft ME, Murray DL, Thielen KR, Williamson EE, Eckel LJ. Intracranial Gadolinium Deposition after Contrast-enhanced MR Imaging. Radiology. 2015;275(3):772–82.
Scarabino T, Carriero A, Magarelli N, Florio F, Giannatempo GM, Bonomo L, Salvolini U. MR angiography in carotid stenosis: a comparison of three techniques. Eur J Radiol. 1998;28(2):117–25.
Sekihara K. Steady-state magnetizations in rapid NMR imaging using small flip angles and short repetition intervals. IEEE Trans Med Imaging. 1987;6(2):157–64.
Bernstein MA, Huston 3rd J, Lin C, Gibbs GF, Felmlee JP. High-resolution intracranial and cervical MRA at 3.0 T: technical considerations and initial experience. Magn Reson Med. 2001;46(5):955–62.
Al-Kwifi O, Emery DJ, Wilman AH. Vessel contrast at three Tesla in time-of-flight magnetic resonance angiography of the intracranial and carotid arteries. Magn Reson Imaging. 2002;20(2):181–7.
Willinek WA, Born M, Simon B, Tschampa HJ, Krautmacher C, Gieseke J, Urbach H, Textor HJ, Schild HH. Time-of-flight MR angiography: comparison of 3.0-T imaging and 1.5-T imaging--initial experience. Radiology. 2003;229(3):913–20.
Essig M, Engenhart R, Knopp MV, Bock M, Scharf J, Debus J, Wenz F, Hawighorst H, Schad LR, van Kaick G. Cerebral arteriovenous malformations: improved nidus demarcation by means of dynamic tagging MR-angiography. Magn Reson Imaging. 1996;14(3):227–33.
Warmuth C, Ruping M, Forschler A, Koennecke HC, Valdueza JM, Kauert A, Schreiber SJ, Siekmann R, Zimmer C. Dynamic spin labeling angiography in extracranial carotid artery stenosis. AJNR Am J Neuroradiol. 2005;26(5):1035–43.
Xu J, Shi D, Chen C, Li Y, Wang M, Han X, Jin L, Bi X. Noncontrast-enhanced four-dimensional MR angiography for the evaluation of cerebral arteriovenous malformation: a preliminary trial. J Magn Reson Imaging. 2011;34(5):1199–205.
Lanzman RS, Kropil P, Schmitt P, et al. Nonenhanced ECG-gated time-resolved 4D steady-state free precession (SSFP) MR angiography (MRA) for assessment of cerebral collateral flow: comparison with digital subtraction angiography (DSA). Eur Radiol. 2011;21(6):1329–38.
Lanzman RS, Kropil P, Schmitt P, Wittsack HJ, Orzechowski D, Kuhlemann J, Buchbender C, Miese FR, Antoch G, Blondin D. Nonenhanced ECG-gated time-resolved 4D steady-state free precession (SSFP) MR angiography (MRA) of cerebral arteries: comparison at 1.5 T and 3 T. Eur J Radiol. 2012;81(4):e531–535.
Raoult H, Bannier E, Robert B, Barillot C, Schmitt P, Gauvrit JY. Time-resolved spin-labeled MR angiography for the depiction of cerebral arteriovenous malformations: a comparison of techniques. Radiology. 2014;271(2):524–33.
IK is an inventor on a patent application describing the hybridized arterial spin labeling CMR pulse sequence. No non-financial conflicts of interest exist for any of the authors.
IK conceived the study, developed the CMR pulse sequence, performed the statistical analyses, and drafted and revised the manuscript. MTW and JRM participated in image review and scoring of pathology and revised the manuscript. IGM performed quantitative measurements and drafted the manuscript. RRE conceived the study, participated in the overall design of the study, and drafted and revised the manuscript. All authors read and approved the final manuscript.
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Koktzoglou, I., Walker, M.T., Meyer, J.R. et al. Nonenhanced hybridized arterial spin labeled magnetic resonance angiography of the extracranial carotid arteries using a fast low angle shot readout at 3 Tesla. J Cardiovasc Magn Reson 18, 18 (2016). https://doi.org/10.1186/s12968-016-0238-1
- Magnetic resonance angiography
- Arterial spin labeling