Misaki Nakazawa1, Akifumi Hagiwara1,2, Christina Andica1, Masaaki Hori1, Moeko Horita1,3, Koji Kamagata1, Haruyoshi Houshito1, and Shigeki Aoki1
1Department of Radiology, Juntendo University School of Medicine School of Medicine School of Medicine, Tokyo, Japan, 2Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, 3Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
Synopsis
Signal
intensity measured on T1-weighted image is not proportional to the gadolinium concentration
in vivo after administration of contrast agent. Thus, some calculations are
required to estimate gadolinium concentration using quantitative values before and after
gadolinium administration. We created gadolinium concentration maps that directly
show the amount of contrast agent using quantitative maps calculated using synthetic
MRI. The gadolinium concentration map we created using phantoms showed high
accuracy and precision. The gadolinium concentration map could reliably measure
the concentration of gadolinium in metastatic brain tumors.
Background and Purpose
Signal intensity on T1-weighted image is not proportional
to the gadolinium concentration in vivo after administration of contrast agent(1). Thus,
some calculations are required to estimate gadolinium concentration using
quantitative values. In contrast to signal intensity, the absolute
concentration could be reliably used for diagnosis or follow-up of brain
diseases. In this study, we created gadolinium concentration maps using quantitative
values acquired by synthetic MRI, which enables quantification of T1 and T2
values from one quantitative scan(2,3). The
gadolinium concentration map can directly show the concentration of contrast
agent in vivo. The aim of this study was to assess the accuracy and precision
of gadolinium concentration maps created using synthetic MRI, and to evaluate
the applicability of gadolinium concentration maps to brain metastases.Materials and Methods
The phantoms of water and 9 kinds of diluted
gadolinium solutions (0.021–1.00 mmol/L) were scanned by synthetic MRI on a
3.0-T MRI system (Discovery MR750w, GE Healthcare, Milwaukee, USA), and
quantitative maps were created on SyMRI software (SyntheticMR AB, Linköping,
Sweden). Two types of gadolinium concentration maps (T1-Gd map and T2-Gd map)
were created using T1 and T2 quantification maps each from water and diluted
gadolinium solutions, respectively (Fig.1). We performed region-of-interest
(ROI) analysis on each phantom on these two maps and recorded mean values and
standard deviations (SDs). To assess the accuracy of the gadolinium
concentration maps, we compared measured gadolinium concentrations to the known
values. To assess the precision, we compared SDs between T1-Gd and T2-Gd maps. For
statistical analysis, we used the Wilcoxon signed rank test. P values less than
0.025 (corrected with Bonferroni method) and 0.05 were considered to be
significant for accuracy and precision assessment, respectively.
Ten patients with metastatic brain tumors (8 men and 2 women; mean age, 64.8 years; age range, 44-75 years, 152 lesions) were scanned by synthetic
MRI. Contrast agent used was Prohance (Gadoteridol :Eisai Co., Ltd.). We
created gadolinium concentration map as described previously. ROI analysis was
performed on these tumors and maximum values were recorded.
Results
For the phantom study, measured and known
values showed linear proportionality on Gadolinium concentration maps, with slopes
on regression analysis to be 1.00 and 1.01 for T1-Gd and T2-Gd maps,
respectively (Fig. 2). The results of accuracy assessment showed no significant
difference between measured values on each Gd map and known values (P = 0.027
and 0.25 for Gd-T1 and Gd-T2 maps, respectively). On assessment of precision,
SDs of T1-Gd map was significantly smaller than those of T2-Gd map (P = 0.0039).
Based on the results of the phantom experiment, we decided
that T1-Gd map had better quality than T2-Gd map. Thus, we adopted T1-Gd map
for evaluation of gadolinium concentration maps with application to brain
metastases. Out of 152 metastases identified on conventional contrast-enhanced
T1-weighted images, 7 lesions could not be identified on T1-Gd map, thus, 145 lesions
were measured on the T1-Gd map. The maximum value of measured values was in the
range of 0.049–0.96 [mmol/L], which was within the range of values evaluated in
the previous phantom study (Fig.3).Discussion
In the phantom study, linear proportionality
between measured values and known values were shown for T1-Gd and T2-Gd maps, and
no significant difference between measured and known values were detected for
these Gd maps, validating the high accuracy of these Gd maps. On the other
hand, SDs of T2-Gd map were significantly larger than those of T1-Gd map. This
means that precision of T1-Gd map was better than T2-Gd map. Because B1 inhomogeneity
can affect calculation of T1 value(4), on synthetic MRI, B1 maps are acquired
to correct B1 inhomogeneity(2,3). Synthetic MRI was performed by using fast
spin-echo pulse sequence. In fast
spin-echo, effects of eddy currents are variable in each echo, which can result
in unevenness and artifacts of images(5). On synthetic MRI, T2 values were
calculated based on 2 different echoes without correction of eddy currents, which
may have resulted in higher SDs for T2 Gd-map.
The reason why 7 lesions could not be identified on
Gd-maps was mainly because of the misregistration between pre- and post-gadolinium
images due to 2D acquisition method. Realization of 3D acquisition is still
awaited for solving this problem.Conclusion
This
study showed the high accuracy and precision of gadolinium concentration maps
created using synthetic MRI. T1-Gd map showed comparable accuracy and higher precision
compared with T2-Gd map. The maximal gadolinium concentration in the metastatic
tumors was within the range of the values evaluated in the phantom study,
showing the validity of gadolinium concentration maps in use of clinical
settings.Acknowledgements
This work was funded by ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan).References
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