Manoj Mathew1, Zhitao Li2, Ali B Syed3, Shreyas S Vasanawala1, and Ryan L Brunsing1
1Department of Radiology, Stanford University, Palo Alto, CA, United States, 2Department of Radiology and Electrical Engineering, Stanford University, Palo Alto, CA, United States, 3Stanford University, Palo Alto, CA, United States
Synopsis
Radial Dual-Echo Inversion Recovery SPGR T1 mapping is a technique
that yields water and fat separated parametric maps for the evaluation
of T1 values in the liver parenchyma. This novel method can serve as an alternative
to SMART1 and MOLLI mapping techniques. From a cohort of
56 patients, we show the rIR-T1 outperforms MOLLI in the
differentiation of patients with cirrhosis. We also show
that the technique may be advantageous in the evaluation of patients with hepatic
steatosis because of the ability to create composite and water-only images that
yield T1 values that can better correlate to liver fibrosis.
INTRODUCTION
T1 mapping is a promising quantitative biomarker for differentiating
stages of liver fibrosis1. Commercially available techniques such as the
Modified Look-Locker sequence (MOLLI) and saturation method using adaptive
recovery time (SMART1) are time consuming and use Cartesian sampling which is
prone to motion artifact. MOLLI and similar sequences yield an apparent T1
value due to using a balanced steady-state readout, which underestimates the
true T12. Estimated T1 values can be further confounded by
the presence of intrahepatic fat or iron3. Here we compare a radial dual-echo inversion
recovery (IR) Spoiled Gradient Echo technique4 (rIR-T1) with MOLLI and SMART1 in the evaluation of liver
parenchyma. The radial sampling pattern is time efficient - allowing multi-slice
acquisitions in a single breath hold, and motion robust. The dual echo
technique allows reconstruction of water-only images, which may help mitigate the
T1 effects of hepatic steatosis. We hypothesize that it can be used to
differentiate patients with and without cirrhosis.METHODS
This IRB approved prospective study evaluated patients undergoing liver MRI on one
of six 3T
MRI scanners (GE
Healthcare, Waukesha WI). Informed
consent was obtained. Breath held T1 maps from
rIR-T1, Fast Imaging Employing Steady-state Acquisition (FIESTA)-based MOLLI, and
SMART1 pulse sequences were acquired (Figure 1). Multiparametric radial
composite (RADc) and water (RADw) T1 maps were reconstructed. ROIs in T1 maps were drawn by two
readers in consensus in the right lobe of the liver away from vessels, the hepatic
capsule, artifact, treatment zones, and hepatic lesions. IDEAL proton
density fat fraction (PDFF) and R2* maps were obtained and ROIs drawn in the
right hepatic lobe. The presence or absence of cirrhosis was determined by
chart review and imaging features.
T1 values were compared using one-way ANOVA,
and if significant, with post-hoc Tukey’s test. Pearson’s correlation coefficients
(r) were used to compare T1 values between techniques, and PDFF versus measured
T1 shift between RADc and RADw. T1 values between patients with and without
cirrhosis were compared using Wilcoxon rank sum test. Correlation
coefficients were scored with r < 0.30 interpreted as no correlation,
0.30-0.59 as mild correlation, 0.60-0.89 as moderate correlation, and 0.90 or
greater as high correlation. A p-value of < 0.05
was considered statistically significant.RESULTS
56 patients (32 female, mean age 60, mean BMI 29) were included in the study. Of
these, 10 had cirrhosis. The T1 values produced by MOLLI (846.57 ms, ± 172.46) and
SMART1 (1,148.86 ms, ± 67.07) were significantly different from both RADc (947.89 ms, ± 88.23) and RADw (959.00 ms, ± 81.13) (Figure 2), but all showed
mild positive correlation (Figure 3). T1
values were significantly higher in patients with cirrhosis compared to those
without for RADc (p=0.011), RADw (p=0.001), and SMART1 (p=0.040). MOLLI trended
toward increased T1 values in patients with cirrhosis, however the difference
was not significant (p=0.058). There was a moderate correlation (r=0.65) between
PDFF and the measured T1 shift between RADc and RADw (Figure 4 and 5).DISCUSSION
We
showed that hepatic parenchymal T1 estimates differ between MOLLI, SMART1, and rIR-T1. The T1 values obtained by the rIR-T1 were
significantly higher than those obtained with MOLLI, which
is known to underestimate true T1 values2. However, both rIR-T1 and
MOLLI were still significantly lower than those obtained using SMART1. This
suggests the rIR-T1 may more accurately reflect T1 values than a MOLLI-based approach, though
perhaps still underestimate true T1 values in the liver.
We also demonstrate that T1 mapping can differentiate
patients with cirrhosis from those without , as seen previously1. Both SMART1 and
rIR-T1, outperformed
MOLLI, showing significantly higher T1 values in patients
with cirrhosis, whereas the trend on MOLLI did not reach statistical
significance.
There was a positive correlation between PDFF and the measured T1 shift between RADc and RADw, showing that fat can
confound T1 values, which
has been previously reported5. Thus, the ability to reconstruct water-only images may
improve correlation between measured T1 values in the hepatic parenchyma and
the degree of fibrosis (Figure 5).
While we did not assess it explicitly, rIR-T1 occasionally
performed poorly in the left lobe, which maybe be related to cardiac motion artifact.
Additionally, while rIR-T1 is inherently more motion
insensitive, there were instances when respiratory motion related to suboptimal
breath holding compromised image quality.
There are several limitations to this study. T1
measurements were made in consensus, and the differences in image
reconstruction made blinding impossible, potentially introducing confirmation
bias. Consensus
reviewing also raises questions about the application of these findings in the
clinical setting. The small patient number may have resulted in a type 2 error in
determining whether FIESTA-MOLLI can differentiate between cirrhosis and
not-cirrhosis, which run counter to prior studies3.CONCLUSION
The radial T1 map generated by the dual echo IR SPGR
sequence may be considered as an alternative
technique for T1 mapping in the liver.Acknowledgements
No acknowledgement found.References
1. Li Z,
Sun J, Hu X, et al. Assessment of liver fibrosis by variable flip angle T1
mapping at 3.0T. J Magn Reson Imaging JMRI. 2016;43(3):698-703.
doi:10.1002/jmri.25030
2. Slavin GS, Stainsby JA. True T1 mapping
with SMART1Map (saturation method using adaptive recovery times for cardiac T1
mapping): a comparison with MOLLI. J Cardiovasc Magn Reson.
2013;15(Suppl 1):P3. doi:10.1186/1532-429X-15-S1-P3
3. Mozes FE, Tunnicliffe EM, Moolla A, et
al. Mapping tissue water T1 in the liver using the MOLLI T1 method in the
presence of fat, iron and B0 inhomogeneity. NMR Biomed.
2019;32(2):e4030. doi:10.1002/nbm.4030
4. Li Z, Bilgin A, Johnson K, et al. Rapid
high-resolution T1 mapping using a highly accelerated radial steady-state
free-precession technique. J Magn Reson Imaging. 2019;49(1):239-252.
doi:https://doi.org/10.1002/jmri.26170
5. Larmour S, Chow K,
Kellman P, Thompson RB. Characterization of T1 bias in skeletal muscle from fat
in MOLLI and SASHA pulse sequences: Quantitative fat-fraction imaging with T1
mapping. Magn Reson Med. 2017;77(1):237-249. doi:10.1002/mrm.26113