Xiang Xiao1, Yikai Xu1, Yuankui Wu1, Yingjie Mei2, and Queenie Chan3
1Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, People's Republic of, 2Philips Healthcare, Guangzhou, China, People's Republic of, 3Philips Healthcare, HongKong, China, People's Republic of
Synopsis
Radiation
induced encephalopathy is one of the most serious complications of radiotherapy
(RT) for treatment of nasopharyngeal carcinoma (NPC). In order to detect early
radiation-induced changes in gray matter (GM) and white matter (WM) of NPC
patients after RT, we recruited NPC patients before RT and after RT with
normal-appearing brain for MR T1ρ examination. We found abnormal microstructure
changes of WM had already happened in NPC patients after RT even when routine
MRI findings are negative. MR T1ρ imaging can be used to detect early
radiation-induced changes of WM following RT for NPC patients.Target
audience
Clinicians
and radiologists interested in MR T1ρ imaging and nasopharyngeal
carcinoma.
Purpose
Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumors
affecting the population in southern China. The standard treatment for NPC is
radiotherapy (RT), which involves irradiation of the inferior part of the
temporal lobes. Radiation induced
encephalopathy is one of the most serious complications of RT for treatment of
NPC. However, most radiotherapy patients undergoing long-term clinical
follow-up exhibit little change in their temporal lobes according to
conventional MRI examination. T1ρ
presents the spin-lattice relaxation time constant in the rotating frame, which
has been found to be sensitive to the interaction between the marcomolecules
and bulk water. The changes of T1ρ values precede the morphological changes
dectected by routine MRI. The purpose of our study was to detect microstructural changes of
gray matter (GM) and white matter (WM) between patients with
NPC who had and had not received RT by using MR T1ρ imaging.
Methods
This prospective study was approved by the local ethics committee, and
written informed consent was obtained from each participants.
Subjects and data acquisition: 15 patients (Mean age 51.1± 9.8 yrs; age
range 35-67 yrs; 5F/10M) with NPC who had been diagnosed by histopathology and
treated with RT and 15 control patients (Mean age 47.1±13.1 yrs; age range 24-67yrs;
5F/10M) with NPC who had been newly diagnosed and previously untreated were recruited.
All MR scans were performed on a 3.0T MR scanner (Philips Achieva,
the Netherlands) with a 8 channel head
coil to receive the signal. T1ρ was performed using 3D Turbo Spin-Echo (TSE)
pulse sequence, scanning parameters were as follows: TR/TE= 4800ms/229ms, FOV =
250×250mm2, flip angle = 90°, matrix = 240×240, slice thickness = 1.8mm,
number of slices = 100, spin lock frequency = 500 Hz, spin lock time = 0, 20,
40, 60, 80, 100 ms respectively. The entire volume of each subject’s brain was
imaged in the sagittal plane using a T1-weighted 3D volumetric pulse sequence
with 150 continuous slices.
Data analysis: All
the DICOM images were converted to NIFTI format using MRIcron. Non-brain
tissues of T1ρ images
and 3D T1WI images were removed by FSL software respectively. For each subject,
T1-weighted images and T1ρ images
were first oriented in the same direction. Then T1-weighted images were
co-registered to the T1ρ images.
Next, the co-registered T1-weighted images were segmented into GM, WM and
cerebrospinal fluid images. Finally, the T1ρ
images
were normalized by the matrix of standard space (Figure 1). Regions of interest
for major white matter tracts were defined by an intersection of the individual
spatially normalized WM probability map thresholded at 50% with the JHU
ICBM-DTI-81 white matter labels atlas supplied with FSL. Cortical gray matter
regions were similarly defined by the intersections of the individual spatially
normalized GM and WM probability maps (respectively, each thresholded at 50%)
with the Harvard-Oxford cortical atlas. Quantification analyses of WM and GM in
the regions of interest were extracted by software based on MATLAB 2013a
programs.
Statistical analysis: Independent
sample T-test was performed on T1ρ value in GM and WM respectively between NPC
patients after RT and before RT by using SPSS software. We
used a statistical significance level of p<0.05.
Results
and Discussion
There were no significant differences in T1ρ
values on GM between NPC patients before RT and after RT (p>0.05). Compared
to NPC patients before RT, NPC patients after RT revealed higher T1ρ values in bilateral superior cerebellar peduncle and
right inferior cerebellar peduncle (Table 1, p<0.05).
This
is the first study, to our knowledge, to investigate microstructural changes of GM and WM in NPC patients after RT by means of MR
T1ρ imaging. We found that the NPC patients who had received RT with normal conventional
MRI findings exhibited RT-induced brain
damages in some regions of WM. However, the present study didn’t show early
radiation-induced changes in GM. It might be related to the insufficient number
of cases. We plan to recruit adequate number of
patients and have further investigation on the pathogenenesis of
radiation-induced structural damage in normal-appearing brain tissue in future.
Conclusion:
Abnormal
microstructure changes of white matter had already happened in NPC patients
after RT even when the routine MRI findings are negative or nonspecific. MR T1ρ
imaging can be used to detect early radiation-induced changes of white matter following
RT for NPC patients.
Acknowledgements
No acknowledgement found.References
No reference found.