Ching Chung Ko1,2, Yu Chang Lee3, Ming Hong Tai2, Tai Yuan Chen1, Yu Ting Kuo1, and Jeon Hor Chen3,4
1Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan, 2Institute of Biomedical Science, National Sun Yat-Sen University, Kaohsiung, Taiwan, 3Department of Radiology, I-Shou University and Eda Hospital, Kaohsiung, Taiwan, 4Center for Functional Onco-Imaging, University of California, Irvine, CA, United States
Synopsis
Atypical glioblastoma
multiformes (GBMs) with solid enhancing tumor and without visible necrosis may
mimic primary cerebral lymphomas (PCLs), and atypical PCLs with visible
necrosis may mimic GBMs. This study aimed to
differentiate these two brain tumors using qualitative DWI signals and quantitative
ADC values acquired in tumoral necrosis, the most enhanced tumor area, and the
peritumoral edema. The results showed GBMs tended to have significantly higher
ADC in the enhanced tumor area, and lower ADC in the peritumoral edema area than
PCLs.Background
and Purpose:
Differentiation of
glioblastoma multiforme (GBM) and primary cerebral lymphoma (PCL) is important
because the treatment strategies are substantially different. In patients with
GBM, wide surgical resection followed by radiation therapy and chemotherapy
with temozolomide is the choice of treatment, whereas patients with PCL usually
need to receive high-dose methotrexate-based chemotherapy with or without
radiation after stereotactic biopsy. Conventional MR imaging allows
differentiation between these two entities because GBM usually exhibits a
ring-shaped contrast-enhanced mass lesion with a hypointense central necrosis on
contrast enhanced T1-weighted MR imaging, but PCL usually presents as a solid
mass lesion with homogeneous contrast enhancement in immune-competent patients.
However, in some cases atypical, solid enhancing GBM without visible necrosis
may mimic PCL, and atypical PCL with visible necrosis may mimic GBM. Although some studies have shown statistically
significant differences in apparent diffusion coefficient (ADC) values between
the GBM and PCL,
1-4 others have reported that ADC might not be
helpful due to substantial overlap in values for these two entities.
5,6
Further, it is noted that peritumoral edema plays an important role in differentiation
of brain tumors.
7,8 The purpose of this study was to describe the MR
imaging characteristics of GBMs and PCLs with emphasis on the difference of DWI
signals and ADC values in tumoral necrosis, the most enhanced tumor area, and
the peritumoral edema.
Materials
and Methods:
This retrospective cohort study collected 124 patients
in two years period, with 104 patients (58 men, 46 women, age range 8-87 years,
median age 59 years) diagnosed with GBMs (WHO grade IV) by biopsy, and 20 immune-competent
patients (8 men, 12 women, aged 38-77 years, mean age 62 years) with PCLs (diffuse
large B cell lymphoma). All these patients had pretreatment MR (DWI/ADC)
imaging. The MRI images were
acquired using a 1.5T MR scanner. All of the patients
underwent axial T1-weighted spin-echo (T1WI), T2-weighted imaging (T2WI) (fast
spin-echo), fluid attenuated inversion recovery (FLAIR), T2*-weighted gradient-recalled echo (GRE),
and post-contrast enhanced T1W images in axial and coronal sections with fat
saturation. The DWI was performed by applying three sequential gradients in the
x, y, and z directions with b =1000 sec/mm2.
ADC maps were obtained from these imaging data. For DWI rating, each lesion was
rated as predominantly hyperintense, isointense, or hypointense relative to the
white matter. For ADC measurement, circular
region of interest (ROI) with area range from 30 to 76mm
2 was placed
within the necrotic area, the most enhanced area (tumor), and the
peritumoral edema in all GBMs and PCLs (Figure 1). Receiver operating characteristic (ROC) analysis with optimal cut-off
values and area-under-theROC curve (AUC) values were performed for each
parameter to discriminate between GBM and PCL.
Results:
For ratings of DWI signals, there was statistically
significant difference (P<0.05) in the necrosis and peritumoral edema
between these two different tumors. For ADC values, the median ADC values of
GBMs were higher than PCLs in the necrosis and the most enhanced tumor, but
lower than PCLs in the peritumoral edema (Figures
2). There was statistically significant difference (P<0.05) in the most
enhanced tumor and the peritumoral edema between GBMs and PCLs. The optimal
cutoff values of ADC for differentiating GBMs from PCLs were 1.85x10
-3 mm
2/s
in the necrosis, 0.765x10
-3 mm
2/s in the most enhanced
area, and 1.805x10
-3 mm
2/s in the peritumoral edema (Figure 3). The discriminative ability
of ADC values to differentiate these two entities, in decreasing order of AUC
values, were ADC values in the most enhanced area (AUC, 0.76), the peritumoral
edema (AUC, 0.75), and the necrosis (AUC, 0.65) (Figure 3).
Conclusions:
The results from this
study showed that quantitative DWI parameters were able to show significant
difference between GBMs and PCLs, with GBMs tended to have significantly higher
ADC in the enhanced tumor area, and lower ADC in the peritumoral edema area than
PCLs. It is postulated
that lower ADC observed in PCLs may be due to higher degree of cellularity than
GBMs. Whereas, GBMs tend to have peritumoral infiltration which leads to the
lower ADC in the peritumoral edema area. Quantitative ADC values
measured in these two areas thus can be used to improve diagnostic accuracy for
these two brain tumor types. The histological underpinning of the ADC
difference between these two tumors deserves further investigation.
Acknowledgements
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