Abstract
Purpose
To evaluate the SNR and CNR performance of 0.05 mmol/kg gadoxetic acid and 0.1 mmol/kg gadobenate dimeglumine for dynamic and hepatobiliary phase imaging. In addition, flip angles (FA) that maximize relative contrast-to-noise performance for hepatobiliary phase imaging were determined.
Materials and Methods
A cross-over study in ten volunteers was performed using each agent. Imaging was performed at 3T with a 32-channel phased-array coil using breath-held 3D spoiled gradient echo sequences for SNR and CNR analysis, and for FA optimization of hepatobiliary phase imaging.
Results
Gadobenate dimeglumine (0.1 mmol/kg) had superior SNR performance during the dynamic phase, statistically significant for portal vein and hepatic vein in the portal venous and venous phase (for all, p<0.05) despite twice the approved dose of gadoxetic acid (0.05 mmol/kg), while gadoxetic acid had superior SNR performance during the hepatobiliary phase. Optimal FA’s for hepatobiliary phase imaging using gadoxetic acid and gadobenate dimeglumine were 25–30° and 25–30° for relative contrast liver vs. muscle (surrogate for non-hepatocellular tissues), and 45° and 20° (relative contrast liver vs. biliary structures), respectively.
Conclusion
Gadobenate dimeglumine may be preferable for applications that require dynamic phase imaging only, while gadoxetic acid may be preferable when the hepatobiliary phase is clinically important. Hepatobiliary phase imaging with both agents benefits from flip angle optimization.
Keywords: Hepatobiliary imaging, gadoxetic acid, gadobenate dimeglumine, MR cholangiography
INTRODUCTION
In recent years there has been increasing interest in the use of gadolinium based contrast agents with hepatobiliary uptake and excretion for improved characterization of liver lesions, detection of metastases (1–5) and for functional biliary imaging (6). Hepatobiliary contrast agents differ from conventional extracellular gadolinium-based contrast agents (GBCA) due to their uptake into functioning hepatocytes and subsequent excretion into bile. Two GBCA’s with hepatobiliary uptake and excretion are currently approved in the U.S.A. and Europe: 1) gadoxetic acid (Eovist, Primovist; Gd-EOB-DTPA, Bayer Pharmaceuticals, Wayne, NJ, U.S.A.) and 2) gadobenate dimeglumine (MultiHance, Gd-BOPTA, Bracco Diagnostics, Princeton, U.S.A.). Both agents can be used for dynamic phase imaging (i.e.: have properties similar to conventional extracellular GBCA’s), but are also taken up into functioning hepatocytes and excreted into bile. Approximately 50% of gadoxetic acid is taken up in the liver, while approximately 5% of gadobenate dimeglumine is taken up into the liver. Further, liver enhancement increases until it reaches a plateau beginning at 15–25 min using gadoxetic acid, and at 60–90 min using gadobenate dimeglumine (7–9).
The specific enhancement pattern and time course by which gadobenate dimeglumine and gadoxetic acid are taken up by hepatocytes and are secreted into the bile has been the subject of past studies (10). Several reports have investigated the performance of these agents separately (3,8,11), but there is a relative paucity of literature comparing them directly (7,12). Brismar et al. compared the hepatic vessel enhancement of 0.025 mmol/kg gadoxetic acid with 0.1 mmol/kg gadobenate dimeglumine and concluded that 0.025 mmol/kg gadoxetic acid did not offer equivalent vessel enhancement (12). Further, a recent comparison of both agents at 0.1 mmol/kg of gadobenate dimeglumine and 0.025 mmol/kg of gadoxetic acid by Lee et al. showed inferior vessel enhancement using gadoxetic acid (6), although this study was limited by the lack of a cross-over design. Similarly, Motosugi and coworkers compared 0.025 mol/kg and 0.05 mmol/kg gadoxetic acid in cirrhotic patients showed improved performance using 0.05 mmol/kg in patients with more advanced liver disease (higher Child-Pugh class) (13). Anecdotally, a similar behavior has been observed at our institution, and as a result, a weight-based dose of 0.05 mmol/kg is used in all patients to ensure adequate dynamic phase enhancement.
There are even less data available comparing gadoxetic acid and gadobenate dimeglumine at 3T. The in-vitro relaxivities of both agents show a similar small decrease with increasing field strength: the r1 of gadobenate dimeglumine and gadoxetic acid are 6.9 L mmol−1 s−1 and 6.2 L mmol−1 s−1 at 1.5T, respectively, and 6.3 L mmol−1 s−1 and 5.5 L mmol−1 s−1 at 3T, respectively (14). Given these differences in relaxivity and large differences in pharmacokinetics, including weak binding of gadobenate dimeglumine to albumin, it may be difficult to extrapolate results at 1.5T to 3T, warranting additional comparisons at 3T.
Finally, sequence parameter optimization for hepatobiliary phase imaging using hepatobiliary gadolinium agents has drawn little attention, but has tremendous potential to improve image quality and better exploit the behavior of these agents. Although sequence optimization using GBCA’s at higher field strengths has generally been shown to be beneficial for several areas of the body (15–19), no comparable study exists for hepatobiliary imaging. In clinical routine liver imaging at 1.5T, flip angles on the order of 12–15° are typically used for dynamic phase imaging. For hepatobiliary phase imaging, data from Nagle et al. suggested increasing the flip angle to 30–40° for hepatobiliary phase imaging with 0.05 mmol/kg gadoxetic acid at 1.5T (20). These initial results were confirmed by feasibility results in liver lesions at 1.5T by Bashir et al. (21). To the best of our knowledge, no flip angle optimization using either gadobenate dimeglumine or gadoxetic acid has been performed for hepatobiliary phase imaging at 3T.
Therefore, the purpose of this work was twofold: a) to compare the SNR and CNR performance of these agents during dynamic and hepatobiliary phase imaging at 3T, and b) to determine the optimum flip angles to maximize relative CNR performance of gadoxetic acid and gadobenate dimeglumine at 3T.
MATERIALS AND METHODS
Human Subjects and Injection Protocol
This HIPAA-compliant study had received institutional review board (IRB) approval prior to recruitment of volunteers. Ten healthy subjects (5: 5 male: female) aged 24.5 ± 3.7 years (21–33 years) weighing 67.6 ± 14.0 kg (52.2–92.9 kg) were recruited from an IRB-approved database of potential MRI scan volunteers at our institution. Informed written consent was obtained from each volunteer. Volunteers were asked to fast five hours before each scheduled examination per institutional routine for clinical MRCP and liver imaging.
Between October and December 2009, each volunteer was scanned on two separate days, once with gadobenate dimeglumine (0.1 mmol/kg) and once with gadoxetic acid (0.05 mmol/kg), in a random order for each volunteer. Injections were performed using a power injector (Spectris Solaris, MedRad Inc., Warendale, PA, USA) at 2 ml/s via a 20G antecubital intravenous catheter. The time interval between scans in each volunteer was 21.8 ± 12.3 days (6–47 days) to avoid the possibility of residual contrast within the biliary tract. Six volunteers received gadoxetic acid during their first scan, while four volunteers received gadobenate dimeglumine first.
MR Imaging
Imaging was performed on a 3T MR scanner (Discovery MR 750, GE Healthcare, Waukesha, WI, USA) using the 20 most superior elements of a 32-channel phased-array receive-only coil (NeoCoil, Pewaukee, WI, USA) centered on the upper abdomen of each subject in supine position. Two pulse sequence protocols were used 1) to assess SNR and CNR performance during the time course of enhancement, and 2) for flip angle optimization during the hepatobiliary phase. Acquisition parameters are summarized in Table 1, and sequences were acquired as follows (see also Figure 1):
Table 1.
Sequence 1 | Sequence 2 | |
---|---|---|
Parallel Imaging? | no | yes |
Type of parallel imaging [acceleration factor] | n/a | ARC (25) [R=3.56] |
main purpose | dynamic phase & time course imaging | flip angle optimization high resolution imaging |
parameters to evaluate | SNR, CNR | CNRrel relative contrast-to-noise |
sequence type | 3D SPGR (LAVA) | 3D SPGR (LAVA) |
fat saturation | periodic spectrally-selective partial inversion | periodic spectrally-selective partial inversion |
excitation | axial slab excitation | axial slab excitation |
FA | 15° | 5° steps from 10°–45° |
TR | 4.1 ms | 5.4–5.5 ms |
TE | 1.8 ms | 2.1 ms |
matrix | 256 × 192 | 288 × 224 |
FOV | 400 × 320 | 400 × 320 |
BW | ±62.5 kHz | ±62.5 kHz |
slices | 80 | 192 |
slice thickness | 5 mm | 2 mm |
true spatial resolution | 1.6 × 2.1 × 5 mm3 | 1.4 × 1.8 × 2.0 mm3 |
interpolated spatial resolution | 0.8 × 0.8 × 2.5 mm3 | 0.8 × 0.8 × 1.0 mm3 |
Sequence 1 was acquired during the dynamic phase and the extended time course in order to measure SNR and CNR. Comparison of the SNR and CNR performance between the two contrast agents requires that absolute values of SNR and CNR be acquired. Therefore, it was necessary to avoid the use of parallel imaging, which would corrupt our ability to measure absolute SNR/CNR performance (22–23). Bolus timing for the arterial phase was performed using SmartPrep, a fluoroscopically triggered method for automatic bolus detection in the abdominal aorta (24). SmartPrep is the vendor-specific adaptation of this principle with low (<1 sec) delay from bolus detection to automated scan start. This was followed by imaging 50 seconds after the arterial phase for portal venous phase imaging, and at 2 min after injection for a venous phase. Imaging with sequence 1 was also repeated every 5 minutes starting at 10 minutes after the injection.
Sequence 2 was used for flip angle optimization. Parallel imaging using Autocalibrating Reconstruction for Cartesian imaging (ARC) (25) was used in sequence 2 in order to achieve high-resolution images and complete liver coverage within a single breath hold. High spatial resolution was necessary to ensure visualization of biliary structures without partial volume effects. Sequential acquisitions varying the flip angle by 5° increments from 15–45° were performed in all volunteers. A10° flip angle acquisition was added for six of the volunteers after preliminary data analysis indicated that an acquisition with 10° would improve the dynamic range of the flip angle optimization. The timing of the studies for flip angle optimization was adapted to previously reported values of optimal contrast enhancement in the biliary: at 25–35 min after injection for gadoxetic acid (7–8) and 75–85 min for gadobenate dimeglumine (7,9).
Data Analysis – ROI Placement
Data analysis was performed offline using an Advantage Windows Workstation (GE Healthcare, Waukesha, WI, USA) by drawing regions of interest (ROI) in specific tissues of interest, copying the ROI to identical positions in images obtained at different time points or with different flip angles. Slight manual corrections were made to ensure proper alignment with the relevant anatomy in the cases where misregistration occurred from variability in breath-hold position.
For evaluation of flip angle optimization (sequence 2), ROIs were placed in liver tissue (3 ROIs), muscle, right hepatic vein (HV), pre-hepatic portal vein (PV), common hepatic bile duct (CHD), the base of the gall bladder (GB), and in an artifact-free area outside the body (air). Muscle was used as a surrogate tissue for non-hepatocellular liver tumors (26). In order to compensate for possible signal variations due to coil sensitivity variation in larger volunteers, the average SNR of the three liver ROIs was used in all subjects. For dynamic phase and time course image analysis (sequence 1), an additional ROI was placed in the aorta (Ao) to account for arterial contrast enhancement.
Data Analysis – Calculation of SNR, CNR, and Relative CNR
Absolute SNR measurements were made for the time course evaluation data (sequence 1). SNR was calculated as
(Eq. 1) |
where S is the average sum-of-squares magnitude signal intensity in tissues of interest and σmag equals the standard deviation of the background signal measured in areas outside the body not compromised by artifacts. The correction factor of 0.7049 was used to account for differences in the behavior of the noise variance in the background region in magnitude images acquired with multi-channel coils (27–28). CNR calculations were performed in order to compare the contrast of tissues to the liver parenchyma, which is of higher clinical importance than SNR in most typical diagnostic tasks in liver MRI, using the equation
(Eq. 2) |
For optimization of flip angle (sequence 2, with parallel imaging), relative contrast-to-noise referenced to non-enhanced liver tissue, rather than absolute SNR and CNR measurements, was calculated because spatially varying noise in parallel imaging compromises absolute SNR and CNR measurements (22–23). For hepatobiliary phase imaging, the flip angle should be optimized to maximize relative contrast between three pairs of tissue: liver and bile ducts, liver and non-enhancing tumors (using muscle as a surrogate), and liver and blood vessels.
Therefore, relative CNR (CNRrel) was calculated as
(Eq. 3) |
where SItissue|post is the signal intensity of the tissue of interest in the hepatobiliary phase, SIliver|post is the signal intensity of liver in the hepatobiliary phase, and SIliver|pre is the signal intensity of liver tissue before contrast injection.
Determination of the optimal flip angle for hepatobiliary phase imaging from the overall group of subjects was performed as follows: for each volunteer, CNRrel was plotted against flip angle for each tissue measured, and the flip angle that maximizes CNRrel was determined. Data from all subjects were then pooled, binning by the optimal flip angle, and finally plotted as a histogram, each bar representing the number of subjects with the particular optimum flip angle. Optimal flip angles for comparable structures (hepatic vein and portal vein; gallbladder and common hepatic duct) were pooled.
Statistical Evaluation
Age and body weight of the subjects are reported as mean ± standard deviation over all subjects. In order to express the variability of the mean of measurements, SNR and CNR measurements are presented as mean ± 95% confidence interval if not stated otherwise. Statistical comparison of CNRrel, SNR, and CNR was performed using paired two-sided Student t-tests using p=0.05 as the threshold for significance.
RESULTS
SNR and CNR Analysis
During the dynamic phases (arterial[during maximum arterial enhancement], portal venous [50 sec after maximum enhancement], and venous [2 min after maximum enhancement], gadobenate dimeglumine images showed higher SNR than gadoxetic acid images in liver, muscle and all vascular regions (Table 2), with the exception of the liver during the portal venous phase. However, these differences were not statistically significant except for in the portal and hepatic veins during the portal venous phase (hepatic vein: 104.3 ± 14.7 vs. 76.6 ± 15.2 [p=0.015] in the portal venous phase and 91.3 ± 14.3 vs. 62.4 ± 12.7 [p=0.006] in the venous phase; portal vein: 117.4 ± 10.4 vs. 94.5 ± 15.2 [p=0.013] in the portal venous phase and 106.5 ± 12.5 vs. 78.9 ± 16.3 [p=0.01] in the venous phase). Differences in the aorta in the portal venous phase did not quite reach significance at the p<0.05 level (81.1 ± 14.0 vs. 60.1 ± 15.4, p=0.053) (Table 2, Figure 2). Biliary signal and contrast in the dynamic phase are meaningless since there is no contrast in the bile ducts and were therefore excluded from Table 2.
Tab. 2 .
SNR | Imaging Phase | ||||||||
---|---|---|---|---|---|---|---|---|---|
pre | arterial | portal venous | venous | ||||||
mean ± CI | p | mean ± CI | p | mean ± CI | p | mean ± CI | p | ||
Liver | gadoxetic acid | 45.8 ± 7.6 | 60.4 ± 12.2 | 133.7 ± 61.4 | 103.7 ± 15.1 | ||||
| |||||||||
gadobenate dimeglumine | 53.2 ± 7.0 | 0.104 | 69 ± 14.4 | 0.305 | 119.3 ± 18.8 | 0.654 | 106.5 ± 14.9 | 0.800 | |
| |||||||||
Ao | gadoxetic acid | 15.7 ± 4.9 | 66 ± 15.9 | 60.1 ± 15.4 | 50.8 ± 15.5 | ||||
| |||||||||
gadobenate dimeglumine | 14.6 ± 2.1 | 0.682 | 91.8 ± 24.5 | 0.180 | 81.1 ± 14.0 | 0.053 | 73.9 ± 15.9 | 0.072 | |
| |||||||||
PV | gadoxetic acid | 20.1 ± 3.4 | 106.9 ± 20.5 | 94.5 ± 15.2 | 78.9 ± 16.3 | ||||
| |||||||||
gadobenate dimeglumine | 21.8 ± 2.4 | 0.190 | 109.1 ± 28.8 | 0.911 | 117.4 ± 10.4 | 0.013 | 106.5 ± 12.5 | 0.010 | |
| |||||||||
HV | gadoxetic acid | 16.4 ± 3.0 | 29.3 ± 11.3 | 76.6 ± 13.9 | 62.4 ± 12.7 | ||||
| |||||||||
gadobenate dimeglumine | 17.6 ± 2.5 | 0.445 | 34.8 ± 13.4 | 0.620 | 104.3 ± 14.7 | 0.015 | 91.3 ± 14.3 | 0.006 | |
| |||||||||
Muscle | gadoxetic acid | 44.4 ± 11.0 | 50.3 ± 14.0 | 58.5 ± 19.4 | 57.6 ± 19.7 | ||||
| |||||||||
gadobenate dimeglumine | 56.9 ± 8.6 | 0.139 | 59 ± 11.1 | 0.445 | 73.0 ± 12.9 | 0.319 | 74.9 ± 12.8 | 0.261 | |
| |||||||||
CNR | |||||||||
| |||||||||
Ao | gadoxetic acid | 30.1 ± 8.5 | 5.5 ± 14.0 | 73.6 ± 63.9 | 53.0± 17.3 | ||||
| |||||||||
gadobenate dimeglumine | 38.6 ± 6.7 | 0.202 | 22.8 ± 26.8 | 0.313 | 38.2 ± 21.5 | 0.148 | 32.6 ± 19.5 | 0.050 | |
| |||||||||
PV | gadoxetic acid | 25.7 ± 5.8 | 46.5 ± 9.8 | 39.2 ± 60.4 | 24.8 ± 11.7 | ||||
| |||||||||
gadobenate dimeglumine | 31.4 ± 6.5 | 0.376 | 40 ± 26.4 | 0.491 | 1.9 ± 19.2 | 0.112 | 0.04 ± 18.9 | 0.031 | |
| |||||||||
HV | gadoxetic acid | 29.4 ± 6.5 | 31.1 ± 13.0 | 57.2 ± 66.1 | 41.4 ± 10.4 | ||||
| |||||||||
gadobenate dimeglumine | 35.5 ± 7.2 | 0.405 | 34.2 ± 21.7 | 0.687 | 15.0 ± 16.7 | 0.026 | 15.1 ± 16.1 | 0.009 | |
| |||||||||
Muscle | gadoxetic acid | 1.4 ± 11.1 | 10.2 ± 16.4 | 75.2 ± 66.4 | 46.1 ± 16.7 | ||||
| |||||||||
gadobenate dimeglumine | 3.8 ± 14.2 | 0.449 | 10.1 ± 17.7 | 0.718 | 46.3 ± 24.6 | 0.377 | 31.6 ± 21.5 | 0.181 |
Ao = aorta, PV = portal vein, HV = hepatic vein. Bold type indicates statistical significance in comparison to the other contrast agent with p<0.05.
In contrast to SNR, CNR of dynamic phase images performed with gadoxetic acid were slightly higher during venous and portal venous phase than the CNR achieved with gadobenate dimeglumine while they were similar or decreased in the arterial phase. Statistically significant CNR differences, were observed in the portal venous phase for the hepatic vein vs. liver (57.2 ± 66.1 vs. 15.0 ± 16.7 [p=0.026]) and in the venous phase for all three vascular territories: hepatic vein vs. liver (41.4 ± 10.4 vs. 15.1 ± 16.1 [p=0.009]), portal vein vs. liver (24.8 ± 11.7 vs. 0.04 ± 18.8 [p=0.031]), and aorta vs. liver (53.0 ± 17.3 vs. 32.6 ± 19.5 [p=0.050]).
For the extended time course, differences in SNR and CNR between the two agents were more pronounced. The time course of SNR and CNR for all evaluated ROIs are provided in Figures 3, 4, and 5. Gadoxetic acid-based liver enhancement was superior to gadobenate dimeglumine during all acquired time points in the extended time course (see Figure 3). SNR measured in muscle showed similar values for both agents with a tendency toward higher performance with gadobenate dimeglumine although this was not statistically significant. The CNR of muscle (as a surrogate for non-hepatocellular tumor tissue) vs. liver, however, was significantly higher for gadoxetic acid due to the higher liver SNR.
Results for the aorta (Ao), portal vein (PV), and hepatic vein (HV) during the extended time course showed similar results. The lower SNR observed with gadoxetic acid enhanced imaging of these structures, combined with the higher liver SNR, led to statistically significant higher CNR of vessels vs. liver when using gadoxetic acid (Figure 4a–c).
With respect to biliary imaging, contrast arrived earlier in the common hepatic duct and gallbladder when using gadoxetic acid resulting in an early, statistically significant increase of SNR that was superior to gadobenate dimeglumine and persisted throughout the extended time course (Figure 5). Although the SNR performance of gadoxetic acid was superior, the CNR between liver and biliary system was similar for both agents. While CNR values appeared slightly higher in the gallbladder between 25 and 55 minutes when using gadoxetic acid and in the biliary tree after 35 minutes when using gadobenate dimeglumine, these apparent differences were not statistically significant.
Flip Angle Optimization
Figure 6 shows the typical variation in image signal and contrast across a range of flip angles for the two contrast agents in the same volunteer. There were differences in the flip angle behavior for different tissues and different subjects. Figure 7a (upper left) shows a typical optimization plot in a single volunteer, showing how the optimum flip angles were determined for one subject using gadoxetic acid. This procedure was performed for all subjects and the results were binned, as described in the methods section, and displayed in Figure 7b–d. Relative vessel to liver contrast was highest at 25° and 30° for gadoxetic acid and at 15° for gadobenate dimeglumine (Figure 7b). Relative muscle to liver contrast (simulating contrast between non-hepatocellular tumor and liver) was best at 25–30° for gadoxetic acid and 25–30° for gadobenate dimeglumine (Figure 7c). The biliary tree had the best CNRrel relative to liver when using a 45° flip angle with gadoxetic acid and using a 20° flip angle with gadobenate dimeglumine (Figure 7d).
DISCUSSION
There were two goals of this study. First, the SNR and CNR performance of gadoxetic acid and gadobenate dimeglumine was compared at 3T using a cross-over (intra-individual) study design. Overall, from both an SNR and CNR performance perspective, both agents provide adequate enhancement for dynamic phase liver imaging. During the dynamic phase, the SNR and CNR performance of 0.1 mmol/kg of gadobenate dimeglumine was similar to or slightly better than 0.05 mmol/kg of gadoxetic acid in most tested territories and time points, despite the fact that both agents show similar relaxivities and the dose of gadoxetic acid is twice the approved package insert dose. Only the CNR vs. liver tissue vs. PV in the portal venous phase and all three vascular territories in the venous phase showed superiority of gadoxetic acid. These results confirm our anecdotal experience, as well as the experience of other recent investigators (6,12–13) that 0.05 mmol/kg of gadoxetic acid may be necessary to obtain adequate enhancement during the dynamic phase.
During hepatobiliary phase imaging, gadoxetic acid enhanced imaging demonstrated superior SNR performance, although CNR of biliary structures vs. liver was similar between the two agents. Further, the earlier enhancement seen with gadoxetic acid and its higher SNR performance in the biliary phase may make this agent more advantageous for evaluation of bile ducts and characterization of liver lesions during the delayed hepatobiliary phase. Therefore, we conclude that gadoxetic acid is the preferred agent when delayed hepatobiliary phase imaging is the primary indication for imaging, and that gadobenate dimeglumine is the preferred agent when dynamic phase and vascular imaging is the primary indication for imaging.
Second, this study demonstrates that high-resolution contrast-enhanced hepatobiliary MRI at 3T can benefit tremendously from the use of optimized flip angles, which depends on the contrast agent used and the tissue of interest. Significant relative CNR improvement was achieved by simply increasing the flip angle to the appropriate level. Our findings suggest that during the delayed phase, parameters should be adapted to the structures of interest and the contrast agent used. For example, for biliary imaging, flip angles of 45° and 20° were optimal for gadoxetic acid and gadobenate dimeglumine, respectively. Previous studies that studied these agents during the hepatobiliary phase used a variety of gradient echo pulse sequences using either GRE with high flip angles (8–9,11,29–31), low flip angles of 10–15° at 1.5T (2,32–35), or did not report flip angles at all (7,12,26). Similarly, protocols designed for higher spatial resolution, e.g., using navigator-gated approaches to compensate for breathing motion, did not employ optimized flip angles (36).
A dose of 0.05 mmol/kg gadoxetic acid (twice the approved package insert dose) was used for comparison with 0.1 mmol/kg of gadobenate dimeglumine in this study. It is important to note that gadoxetic acid was approved for use at the minimum effective dose for detection and characterization of liver lesions in the delayed hepatobiliary phase (0.025 mmol/kg) with lesser regard to its performance for dynamic phase imaging. Based on our anecdotal experience and a growing body of literature (6,12–13), a dose of 0.025 mmol/kg may provide inferior enhancement during the dynamic phase, compared to other agents. The results of this study support our clinical observations as well as the literature, i.e., that 0.05 mmol/kg of gadoxetic acid may be a more appropriate dose for dynamic phase imaging, comparable to other agents. Further, it should be noted that the use of gadobenate dimeglumine (at any dose) is off-label for hepatobiliary imaging in the United States, although liver imaging at 0.1 mmol/kg of gadobenate dimeglumine is approved in Europe.
A weakness of this study is that only healthy subjects were included in the analysis. We expect that different liver diseases may result in different optimal scan parameters, especially in the setting of liver failure when there is compromised hepatic uptake and biliary excretion. However, the use of standard protocols, optimized to normal hepatic uptake and biliary excretion can be very helpful in identifying abnormalities in uptake and excretion in the presence of disease (e.g., in primary sclerosing cholangitis (37)). Also, the presence of cholestasis and drugs that interfere with biliary uptake and excretion could potentially alter the enhancement patterns seen with both gadobenate dimeglumine and gadoxetic acid (38). Although such changes may contain important diagnostic information, future work will ne needed to extend this analysis into the setting of liver disease.
Further, a direct SNR and CNR comparison, optimally would have been compared after the optimization of flip angles. This would require a second study with an additional group of subjects and contrast, which was impractical due to limited resources. However, it is well known that the signal intensity of spoiled gradient echo imaging methods increases monotonically as gadolinium concentration increases in tissue. Using optimized and/or fixed flip angles to compare the two agents would not change the relative performance of one agent over another, but simply change the size of that difference. Furthermore, it is not possible or practical to ascertain the optimum flip angle at all different phases of contrast. Therefore, the use of a fixed 15° flip angle to compare the SNR and CNR performance of gadoxetic acid and gadobenate dimeglumine is valid, and can be used to determine equivalency or superiority of an agent. Finally, our study did not investigate the use of flip angles greater than 45°, which was the maximum possible flip angle due to technical constraints. It therefore remains unclear, whether image quality would benefit from a further increase of the flip angle, especially when using gadoxetic acid.
In conclusion, this is, to the best of our knowledge, the first study comparing the performance of 0.05 mmol/kg of gadoxetic acid and 0.1 mmol/kg of gadobenate dimeglumine in the liver at 3T. The SNR and CNR performance of gadobenate dimeglumine and gadoxetic acid during the dynamic phase demonstrated a small SNR-advantage using gadobenate dimeglumine despite the use of 0.05 mmol/kg of gadoxetic acid. During the extended time course, gadoxetic acid demonstrated equal or superior SNR-performance in the liver and biliary tract while the SNR of gadobenate dimeglumine was equal or superior in vessels. Based on these findings we conclude that while 0.1 mmol/kg of gadobenate dimeglumine is superior for dynamic phase imaging, 0.05 mmol/kg of gadoxetic acid is probably adequate. The results further confirm that in extended time course imaging, gadoxetic acid provides earlier and superior hepatic and biliary enhancement relative to gadobenate dimeglumine. Finally, the use of optimized flip angles can provide markedly improved relative CNR performance in the delayed hepatobiliary phase at 3T.
Acknowledgments
Grant support: The authors gratefully acknowledge support from NIH (R01 DK083380, R01 DK088925 and RC1 EB010384), the Coulter Foundation, Bracco Diagnostics, and GE Healthcare.
The authors would like to thank Kelli Hellenbrand and Sara Pladziewicz for their assistance. The authors gratefully acknowledge support from Bracco Diagnostics, GE Healthcare, NIH, and the Coulter Foundation.
Footnotes
Disclosures: S.K.N., S.D’S., and K.K.V. have no disclosures. A.F. received an educational stipend from Bracco Diagnostics. S.B.R. previously served on the Medical Advisory Board for Bayer. The University of Wisconsin – Madison receives research support from Bracco and GE Healthcare.
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