Introduction

The accurate diagnosis of steno-occlusive disease of the internal carotid artery (ICA) is essential for determining the appropriate therapeutic intervention for primary and secondary stroke prevention [14]. In the multidisciplinary German–Austrian guideline of the diagnosis, treatment, and follow-up of extracranial carotid stenoses, Doppler and color-coded duplex sonography are considered the most important non-invasive imaging modalities. Computed tomography angiography (CTA) and magnetic resonance angiography (MRA) serve as complementary imaging modalities [5]. Invasive catheter angiography [digital subtraction angiography (DSA)] is only indicated in exceptional cases, e.g., significantly differing stenosis grade by two non-invasive techniques [58].

Multidetector CT angiography (MDCTA) is an accurate tool to determine the degree of carotid artery stenosis [917]. In a systematic review, Hollingworth et al. [18] reported on a sensitivity and specificity of CTA of 95 and 98 %, respectively. Excellent sensitivities (100–95 %) and specificities (93–98 %) or excellent agreement with DSA were also reported by various other authors [17, 1921]. Most recently, Anzidei et al. [22] compared MDCTA with colour Doppler ultrasonography and contrast-enhanced MRA (CE-MRA) using DSA as reference standard and found MDCTA the most accurate technique to evaluate carotid artery stenoses (accuracy, 97 %; sensitivity, 95 %; and specificity, 99.8 %).

Among the MRA techniques, CE-MRA and time-of-flight MRA (TOF-MRA) reliably determine the degree of carotid artery stenoses at 1.5 T [2330]. Although some studies have been published with regard to plaque imaging, no study compared TOF-MRA and CE-MRA at 3 T so far.

The aim of the present study was to compare the accuracy of CE-MRA and 3D TOF-MRA at 3 T for the detection of proximal high-grade ICA stenosis (70–99 %) using MDCTA as reference standard.

Subjects and Methods

Patients

This prospective study was approved by our institutional ethics committee, and informed consent was obtained before MRA and CTA imaging in all patients enrolled. We included 41 patients with different grades of proximal ICA stenosis detected on duplex ultrasonography before scheduled percutaneous transluminal coronary angioplasty.

Patients’ presentation included history of stroke (n = 11) and transient ischemic attack (n = 2). On duplex ultrasonography, 25 patients had a unilateral 50–100 % and 16 patients had bilateral 50–100 % stenosis of the ICA.

MR Imaging

MR imaging was performed on a 3-T whole-body MR imaging system (Magnetom Trio; Siemens Medical Solutions, Erlangen, Germany) with a fast gradient system (peak gradient amplitude, 40 mT/m; maximum slew rate, 200 mT/m/ms) using a head and neck array coil.

3D-TOF-MRA

The 3D volume was positioned in an axial orientation at the level of the carotid bifurcation with the following imaging parameters: repetition time (TR), 20 ms; echo time (TE), 3.69 ms; bandwidth, 250 Hz/pixel; flip angle, 25°; field of view, 149 × 199 mm2; matrix size, 384 × 288; slice thickness, 1 mm; and number of partitions, 52. Partial Fourier of 6/8 was applied in partition direction. Parallel image acquisition using GRAPPA (Generalized Autocalibrating Partially Parallel Acquisition) algorithm was applied with an acceleration factor of 2 and 24 reference k-space lines. We used two slabs to cover the carotid bifurcation and the extracranial ICA. Voxel dimensions were 0.8 × 0.5 × 1.0 mm, and the acquisition time was 3 min and 13 s.

CE-MRA

CE-MRA was performed in the coronal plane immediately after 3D TOF-MRA. Contrast material (Multihance, Bracco Imaging, Konstanz, Germany) was injected via the ante-cubital vein with a power injector (Spectris Solaris EP, MEDRAD Inc., Warrendale, PA) at a rate of 2.5 ml/s followed by a saline (0.9 %) bolus of 30 ml at 2.5 ml/s. Circulation time was measured with a test bolus of 3 ml. The contrast agent was given at a dose of 0.2 ml/kg bodyweight. The 3D volume was acquired with the following imaging parameters: TR, 3.1 ms; TE, 1.21 ms; bandwidth, 651 Hz/pixel; flip angle, 20°; field-of-view, 225 × 300 mm2; matrix size, 384 × 512; slice thickness, 0.8 mm; with 88 partitions, yielding in spatial resolution of 0.8 × 0.6 × 0.8 mm. Partial Fourier was applied at 6/8 in partition as well as in phase direction. Parallel image acquisition using the GRAPPA algorithm was applied with an acceleration factor of 2 and 24 reference k-space lines. The acquisition time was 20 s.

CTA

Having the high accuracy of MDCTA and the possible technical impairment of DSA in mind [31, 32] and knowing the stroke risk [3340] and the average applied radiation dose of DSA [4143], we decided not to expose our patients to any additional harm, and therefore use MDCTA instead of DSA as our reference standard. Furthermore, it would have been very difficult to obtain an approval by the ethics committee for a DSA study with our aforementioned patient population, as DSA is not generally indicated in patients with ICA stenoses.

MDCTA acquisition was performed on a 16-section multidetector CT scanner (Sensation 16, Siemens Medical Solutions, Erlangen, Germany). Contrast bolus tracking was performed after contrast administration of Solutrast 300 (Bracco Imaging, Konstanz, Germany), 95 ml at 5 ml/s, followed by a bolus of normal saline (0.9 %), 40 ml at 5 ml/s, via an intravenous 18-gauge needle. An ROI was placed in the ascending aorta, and scanning was initiated by a measured HU (Houndsfield Units) difference of 100 (delay, 3 s). The following parameters were used: 120 kV, 130 mAs (CARE Dose 4D protocol), 0.5-s rotation time, and 1-mm section thickness reconstructed at 0.7-mm intervals. Voxel size was 0.75 × 0.75 × 0.7 mm3. Images were obtained from the aortic arch (level of tracheal bifurcation) to the vertex through to the circle of Willis. Afterward, axial source images were reconstructed and sent to a Syngo 3D work station (Siemens Medical Solutions, Erlangen, Germany) to generate standardized 3D MIP (Maximum Intensity Projection) reformations (coronal and sagittal oblique on both carotid bifurcations).

Image Analysis

Image data were sent to a dedicated workstation (Impax, Agfa-Gevaert, Mortsel, Belgium). CE-MRA, 3D TOF-MRA, and MDCTA images were reviewed separately in different reading sessions by two independent readers (X.X. and X.Y., with 12 and 7 years of experience in neuroimaging, respectively). Vessel diameters were determined on multiplanar reconstructions in the axial plane perpendicular to the axis of the vessel. The degree of ICA stenosis was calculated according to the North American Symptomatic Carotid Endarterectomy Trial using the following equation: Degree of carotid stenosis in percentage = (1 − diameter of minimal residual lumen [mm]/diameter of distal ICA lumen [mm]). The degree of stenosis was categorized as 0–25 % (minimal), 25–50 % (mild), 50–69 % (moderate), 70–99 % (high grade), and 100 % (occlusion).

Statistical Analysis

Analyses were performed with SAS 9.2 (SAS Institute Inc., Cary, NC). Sensitivity and specificity were calculated considering MDCTA as a reference standard, and are presented with exact 95 % confidence intervals (CIs) derived from the binomial distribution. The level of intermodality agreement were determined with respect to the detection of complete occlusions and high-grade stenoses (70–99 %) by calculating the κ coefficient (κ < 0.20 indicated poor agreement; κ = 0.21–0.40, fair agreement; κ = 0.41–0.60, moderate agreement; κ = 0.61–0.80, good agreement; κ = 0.81–0.90, very good agreement; and κ > 0.90, excellent agreement).

Results

Demographics

The study group comprised 41 patients (14 females and 27 males) with a mean age of 72 [standard deviation (SD), ± 8; range, 50–88] years. In all patients, CE-MRA and 3D TOF-MRA were performed during the same imaging session. In 38 cases, MDCTA was performed before or on the same day of the MRA study; 3 patients received MDCTA 3, 5, and 8 days after MRA, respectively. On average, MDCTA was performed 3.2 (SD, ± 9.7; range, − 42 to 8) days before MRA. Two patients previously had unilateral ICA stenting for high-grade ICA stenosis. These vessels were excluded from analysis. Overall, we included 80 vessels of 41 patients in our study, of which 58 were suspicious of having at least a ≥ 50 % carotid stenosis on duplex sonography.

Stenosis Scores by Technique

Mean grade of stenoses on MDCTA, the reference standard of our study, was 44 % (SD, ± 921.7 %; range, 0–100 %). Mean grade of stenoses on 3D TOF-MRA was 43 % (SD, ± 22.3 %; range, 0–100 %). On CE-MRA, the mean grade of stenoses was 44 % (SD, ± 22.6 %; range, 0–100 %). The categorized grades of ICA stenoses and their distribution are displayed in Table 1. A sample carotid stenosis ≥ 70 % determined by 3D TOF-MRA, CE-MRA, and MDCTA is shown in Fig. 1.

Fig. 1
figure 1

Case example: 88-year-old female patient with a left-sided internal carotid artery (ICA) stenosis. The stenosis (arrow) of the left ICA was rated by the observers to be high grade (70–99 %) in all three imaging techniques: 3D time-of-flight magnetic resonance angiography (a), contrast-enhanced magnetic resonance angiography (b), and multidetector computed tomography angiography (c) in sagittal reconstructions. The arrowhead indicates calcifications within the stenotic plaque (c)

Table 1 Grading of stenosis (n = 80 ICAs)

Sensitivity and Specificity

The grades of ICA stenoses determined by MDCTA were considered the reference for the calculation of the sensitivity and specificity of 3D TOF-MRA and CE-MRA.

The sensitivity and specificity for the detection of ICA occlusions were 100 % (95 % CI, 0.646–1.000) and 98.7 % (95 % CI, 0.927–0.998 %) for 3D TOF-MRA and 100 % (95 % CI, 0.646–1.000) and 100 % (95 % CI, 0.951–1.000) for CE-MRA, respectively. All true occlusions have been detected by both MRA techniques. One high-grade stenosis was misclassified by 3D TOF-MRA as occlusion (Fig. 3).

The sensitivity and specificity for detection of high-grade ICA stenoses (70–99 %) in 80 vessels were 91.7 % (95 % CI, 0.646–0.985) and 98.5 % (95 % CI, 0.921–0.997), respectively, for both 3D TOF-MRA and CE-MRA. Case examples of incongruent findings are displayed in Figs. 2 and 3.

Fig. 2
figure 2

Case example: 79-year-old male patient with a right-sided internal carotid artery (ICA) stenosis. Sagittal reconstructions of the 3D time-of-flight magnetic resonance angiography (TOF-MRA; a), contrast-enhanced magnetic resonance angiography (CE-MRA; b), and multidetector computed tomography angiography (MDCTA; c) show the stenotic ICA (arrows). On 3D TOF-MRA and MDCTA, the stenosis was considered high grade (80 and 75 % according to the North American Symptomatic Carotid Endarterectomy Trial criteria, respectively). The degree of stenosis calculated on the basis of the CE-MRA was 62 %. Arrowhead indicates calcifications within the stenotic vessel segment

Fig. 3
figure 3

Case example: 74-year-old male patient with a right-sided internal carotid artery (ICA) stenosis. Sagittal reconstructions of the 3D time-of-flight magnetic resonance angiography (a) show an absence of flow signal along the course of the ICA. On contrast-enhanced magnetic resonance angiography (CE-MRA; b) and multidetector computed tomography angiography (MDCTA; c), the post-stenotic ICA is clearly shown (arrow). The degree of stenoses (North American Symptomatic Carotid Endarterectomy Trial) for CE-MRA and MDCTA were 76 and 74 %, respectively

Intermodality Agreement

Intermodality agreement for the detection of an ICA occlusion was excellent. For the agreement between 3D TOF-MRA and CE-MRA, κ-value was 0.926 (CI = 0.709–1.000); for 3D TOF-MRA and MDCTA, it was 0.926 (CI = 0.738–1.000); and for CE-MRA and MDCTA, it was 1.000 (CI = 1.000–1.000).

Intermodality agreement for detection of high-grade ICA stenoses (70–99 %) was excellent between 3D TOF-MRA and CE-MRA (κ = 0.902, 95 % CI = 0.769–1.000), 3D TOF-MRA and MDCTA (κ = 0.902, 95 % CI = 0.769–1.000), and CE-MRA and MDCTA (κ = 0.902, 95 % CI = 0.769–1.000).

Discussion

MRA at 3 T, no matter whether as 3D TOF-MRA or CE-MRA, is very sensitive and specific in detecting high-grade ICA stenoses (70–99 %) and occlusions when compared with MDCTA, serving as reference standard. However, on 3D TOF-MRA, pseudo-occlusions may be misinterpreted as occlusions.

There is ongoing discussion as to which MRA technique is more accurate in depicting proximal carotid artery stenoses. Willinek et al. [28] reported on a sensitivity of 100 % and a specificity of 99.3 % in detecting 70–90 % stenoses with 1.5-T CE-MRA. Fellner et al. [44] found a sensitivity of 100 % for both CE-MRA and TOF-MRA. Specificity of TOF-MRA was superior to CE-MRA (96.7 versus 80.6 %). Babiarz et al. compared 1.5-T CE-MRA and 2D TOF-MRA to detect ≥ 70 % ICA stenosis and found CE-MRA to be more sensitive (84 versus 80 % for 2D TOF-MRA). Specificity was high for both techniques (96 % for CE-MRA and 95 % for 2D TOF-MRA). They concluded that the administration of gadolinium did not offer a significant advantage in distinguishing surgically treatable ICA stenosis [30]. In their meta-analysis, Chapell et al. [45] found CE-MRA as the most accurate non-invasive imaging technique for the detection of 70–99 % stenosis, with a reported sensitivity and specificity of both 85 %. Anzidei et al. described a sensitivity of 88 % and specificity of 95 % for CE-MRA at 1.5 T. Higher accuracy values are likely related to the improvement of coils and imaging sequences, including intelligent k-space sampling. Only if operated as a steady-state CE-MRA with an increased spatial resolution (0.7 × 0.7 × 0.7 mm3), it was possible to achieve a very good sensitivity (93 %) and an almost perfect specificity 97 % [22].

With a higher signal-to-noise ratio (SNR) using an eight-channel head and neck coil at 3 T, even higher accuracy values for 3D TOF and CE-MRA seem reasonable. DeMarco et al. [46] already found 3-T TOF-MRA superior to 1.5-T TOF-MRA due to an increased SNR and contrast-to-noise ratio.

Our data suggest that 3D TOF-MRA and CE-MRA both reliably detect high-grade (70–99 %) ICA stenoses at 3 T. In our study, sensitivities and specificities were 91.7 and 98.5 %, respectively, for both 3D TOF-MRA and CE-MRA.

A well-known limitation of 3D TOF-MRA is the misclassification of pseudo-occlusions as occlusions. Obviously, this limitation exists also with higher field strengths diminishing the diagnostic value of 3D TOF- in comparison with CE-MRA.

For CE-MRA, we could not prove an obvious benefit in terms of sensitivity and specificity when performed at 3 T. However, total acquisition time decreased and anatomical coverage was larger compared with sequences at 1.5 T.

Coverage from the aortic arch up to the circle of Willis—an important feature when, e.g., planning for stenting of a high-grade ICA stenosis—has to be considered a major advantage of CE-MRA when compared with TOF-MRA. In addition, the shorter acquisition time of CE-MRA allows for a higher spatial resolution focused on the arterial phase of the passage of the contrast agent.

Further potential for improvement is found in the spatial resolution as was shown by Anzidei et al. [22], who increased the sensitivity and specificity of CE-MRA by approximately 5 % when performing a steady-state instead of a first-pass MRA.

For the detection of ICA occlusions, CE-MRA has proven excellent and completely agrees with MDCTA (100 % sensitive and 100 % specific). 3D TOF-MRA shows a sensitivity of 100 % but a lower specificity of 98.7 %. Compared with former studies at 1.5 T, CE-MRA confirmed its already very good diagnostic value for detecting ICA occlusions, while 3D TOF-MRA has even increased its accuracy [1, 23, 25, 28].

We acknowledge the following limitations of this study: first, it was conducted in a single centre. Second, we did not perform DSA but used MDCTA as reference standard. A former limitation of CTA—the existence of calcified plaques—has become less limiting due to the progress in CT hard- and software. That is why MDCTA is now regarded as being able to quantify carotid stenosis with a high accuracy [14, 22]. In addition, DSA alone may result in an underestimation of ICA stenoses compared with rotational angiography [47]. Third, our study population with hemodynamically relevant ICA stenoses was small, leading to wide 95 % CIs. This was due to patient selection, consisting only of patients who had a borderline high-grade ICA stenosis. Further studies with a larger population are needed to confirm the high quality of 3-T TOF-MRA and CE-MRA with a greater precision.

Conclusion

Both 3D TOF-MRA and CE-MRA at 3 T are reliable tools for detecting high-grade extracranial ICA stenoses (70–99 %). 3D TOF-MRA might misclassify pseudo-occlusions as complete occlusions. If there are no contraindications for CE-MRA, it is recommended as primary MR imaging modality.