Yukihisa Takayama1, Akihiro Nishie2, Yoshiki Asayama2, Kousei Ishigami2, Yasuhiro Ushijima2, Daisuke Okamoto2, Nobuhiro Fujita2, Masami Yoneyama3, and Hiroshi Honda2
1Department of Radiology Informatics and Network, Kyushu University, Graduate School of Medical Sciences, Fukuoka, Japan, 2Department of Clinical Radiology, Kyushu University, Graduate School of Medical Sciences, Fukuoka, Japan, 3Philips Electronics Japan, Tokyo, Japan
Synopsis
A non-balanced spin-echo steady-state free
precession (SSFP) sequence is a variant of the gradient echo (GRE) sequence. It
provides T2-weighted contrast because it generates the spin echo. It also has
high sensitivity to contrast agents’ T1-shortening effects. After the
optimization of MR parameter settings, the non-balanced spin-echo SSFP sequence
in the hepatobiliary phase (HBP) of Gd-EOB-MRI is useful for differential
diagnoses of liver hemangiomas and metastatic liver tumors, based on the
interpretation of the lesion signal intensity. Here we assessed the diagnostic
performance of the non-balanced spin-echo SSFP sequence in the HBP of Gd-EOB-MRI.Introduction
A non-balanced spin-echo steady-state free
precession (SSFP) sequence (T2FFE) is a variant of the gradient echo (GRE)
sequence [1]. After the optimization of magnetic resonance imaging (MRI)
parameter settings, T2FFE imaging in the hepatobiliary phase (HBP) of
gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced
MRI (Gd-EOB-MRI) enables the depiction of liver hemangiomas as high signal intensity
(SI) lesions and metastatic liver tumors as iso- or low SI lesions [2,3]. The
T2FFE sequence may thus be useful for the differential diagnosis of liver
hemangiomas and metastatic liver tumors by an interpretation of lesion SIs, but
the diagnostic performance of this sequence has not been evaluated. In this
study, we evaluated the diagnostic performance of T2FFE imaging in the HBP of Gd-EOB-MRI
for the differential diagnosis of liver hemangiomas and metastatic liver
tumors.
Materials and Methods
A total of 63 patients (females:males = 27:36,
mean age 62 yrs) with 133 liver lesions, including 37 hemangiomas and 96
metastatic tumors, were scanned by Gd-EOB-MRI on a 1.5T MR system (Achieva 1.5T
Nova Dual, Philips Healthcare, Best, the Netherlands) using a 16-channel
torso/cardiac coil. In addition to conventional MRI such as dynamic
contrast-enhanced MRI with a 3D fat-suppressed gradient-echo T1WI sequence
(T1FFE), T2FFE imaging was scanned in the HBP at 20 min after the intravenous
administration of a total amount of Gd-EOB-DTPA based on body weight (0.1
mL/kg). The MR sequence parameters of the T2FFE imaging for the acquisition of
whole-liver 3D black-blood images in a breath-holding scan were optimized
referring to previous studies [2,3]. The MR sequence parameters of the T2FFE
imaging were TR/TE = 9.1/4.6 msec, flip angle = 50°, field of view = 350 × 288 mm
2, matrix = 224 × 180, slice thickness = 3 mm, number of slices =
60, number of excitations = 1, respiratory control = breath-hold, and total
scan time = 18.6 sec. The analyzed liver lesions were confirmed by
characteristic imaging findings of computed tomography (CT) and/or MRI,
follow-up CT and/or MRI examinations, or pathological results after surgical
resections. The diagnostic performance of the T2FFE imaging in the HBP of the
Gd-EOB-MRI was independently analyzed by two experienced readers in an
interpretation of lesion SIs compared with the liver parenchyma SI. Based on
the degree of the lesions’ SI values, the two readers evaluated all liver
lesions using a four-point scale, with 1 point for bright SI lesions, 2 points
for lesions that showed high SI in ≥ 50% of the lesion’s area, 3 points for lesions
that showed high SI in < 50% of the area, and 4 points for iso- or low
SI lesions. We considered liver lesions with 1 or 2 points liver hemangiomas
and those with 3 or 4 points metastatic liver tumors. We conducted a receiver
operating characteristic analysis to calculate the sensitivity, specificity and
area under the curve (AUC) for the differentiation of the liver hemangiomas
from metastatic liver tumors. We analyzed the inter-reader agreement using the
weighted kappa statistic. The kappa values were interpreted as follows:
0.00–0.20, slight agreement; 0.21–0.40, fair agreement; 0.41–0.60, moderate
agreement; 0.61–0.80, substantial agreement; and 0.81–1.00, almost perfect
agreement. P-values <0.05 were considered significant.
Results
The two readers’
evaluations of the lesions’ SI points are shown in Figure 1. The sensitivity,
specificity, and AUC for the differentiation of the hemangiomas from the
metastatic tumors were as follows: reader 1, 92.7%, 78.4%, and 0.86; reader 2,
90.6%, 83.8%, and 0.87, respectively. The kappa value was 0.926 (p<0.05),
which indicated almost perfect agreement between the two readers. Example
images of a liver hemangioma and a metastatic liver tumor on T2FFE and T1FFE
images in the HBP of Gd-EOB-MRI are provided in Figures 2 and 3, respectively.
Discussion and Conclusion
On the T2FFE imaging in the HBP of the Gd-EOB-MRI,
the liver hemangiomas showed positive contrast (high SI), whereas the
metastatic liver tumors showed negative contrast (iso- or low SI). We
speculated that an increase in the liver parenchyma SI due to the uptake of
Gd-EOB-DTPA unexpectedly became a reference point of the signal level on the
T2FFE images [3-5]. In addition, the T2FFE sequence could clearly show the slight
differences of T2 relaxation times or T1/T2 relaxation ratios between the liver
hemangiomas and metastatic liver tumors [3,4]. In conclusion, the non-balanced
spin-echo SSFP (T2FFE) sequence in the HBP of Gd-EOB-MRI could provide useful
information for the differential diagnosis of liver hemangiomas and metastatic
liver tumors.
Acknowledgements
No acknowledgement found.References
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