Yinxing Wang1, Guanzhong Gong1, Weiqiang Dou2, Weiyin Vivian Liu2, and Yong Yin1
1Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China, 2GE Healthcare, MR Research China, Beijing, China
Synopsis
Delayed
contrast extravasation MRI (DCEM) could could differentiate regions
of contrast agent clearance as an active tumor from regions of contrast agent
accumulation as non-tumor tissues. By comparing the
sub-volume of active tumor and non-tumor from DCEM with non-liquefaction necrosis and liquefaction from T2WI, our results showed that compared to liquefaction
necrosis regions of the T2WI, the DCEM has advantages in distinguishing liquefaction area and could clearly differentiate sub-volume of active tumor from non-liquefaction. The application of DCEM was thus feasibly to guide the delineation of sub-volume
target in brain tumor.
Introduction
The
failure of radiotherapy is caused by the uneven distribution of tumor cells
within a malignant brain tumor. Previous studies have
found that the analysis of contrast clearance difference could provide a reliable assessment of tumor burden; however, no studies
have applied it for radiation therapy. The
main goal of this study was thus to evaluate the feasibility of delayed contrast extravasation
MRI (DCEM) in differentiation of regions of
contrast agent clearance as an active tumor from regions of contrast agent
accumulation as non-tumor tissues so as to
delineate sub-volume target in brain tumor radiotherapy.Methods
Subjects:
Twenty-six patients (mean age: 57 ± 12 years old) with malignant brain
tumor were scanned with MRI. The first and second acquisitions of standard
T1-weighted images (T1WI) and T2-weighted images (T2WI) were respectively performed
at 5 minutes and 60 minutes after injection of contrast agent.
MRI experiments:
All MRI experiments were performed at 3T MR
system (Discovery 750w, GE Healthcare, USA) with brain coil.
For the
T1WI measurement, the scan parameters were applied as follows: TR = 8.47 ms, TE
= 3.25 ms, matrix = 256 × 256, FOV = 256 × 256 mm, slice thickness = 1 mm.
For the
T2WI measurement, the scan parameters were applied as follows: TR = 13312 ms, TE
= 113.5 ms, matrix = 416 × 416, FOV = 260 × 260 mm, slice thickness = 3 mm.
A standard single dose (0.1 mmol/kg) of gadolinium DOTA was injected intravenously, total
scan time was 12 mins10 seconds.
Data
analysis:
The first acquired T1WI images were subtracted
from the second ones for Contrast Clearance Analysis by using Brainlab
software. DCEM computed by Brainlab concludes regions of
contrast agent clearance which represent active tumor,and regions of contrast
accumulation which represent non-tumor tissues.
Based on T2WI images, 14 patients were divided into group A and
group B, with and without liquefaction necrosis, respectively. Then, gross
target volume (GTV) was delineated on T1WI images. Based on the GTV, active
tumor and non-tumor regions were delineated on T1WI-DCEM fusion images, while liquefaction necrosis and non-liquefaction
were delineated on T1-T2WI fusion images. Finally, the sub-volume of
active tumor and non-tumor were compared respectively with the sub-volume of non-liquefaction and liquefaction
necrosis on group A; the sub-volume of active tumor was
compared respectively with the sub-volume of non-tumor on
group B.
Paired t-tests was used to determine the difference of sub-volume
between DCEM and T2WI. Significance threshold was set as
p<0.05.Results
The mean value of GTV on enhanced T1WI
in 26 patients was 10.28 ± 17.25 cm3.
In group A, the mean value of GTVA
on enhanced T1WI was 21.38 ± 25.70 cm3 . The non-liquefaction and
liquefaction necrosis on T2WI were 13.65 ± 18.15cm3 and6.30 ± 7.57cm3, respectively. Active tumor area was 10.40 ± 13.52
cm3 while the non-tumor area was 9.55 ± 14.57 cm3, The non-liquefaction
necrosis volume increased by an average of 28.2%(p<0.05 ; Fig.1), compared to active
tumor area . While the non-tumor tissues increased by an average
of 46.3% (p<0.05), compared to the liquefaction
necrosis tissues .
In group B, the mean value of GTVB
on enhanced T1WI was 4.39 ± 3.75 cm3. Active tumor area was 3.02 ± 2.78cm3 while the non-tumor area was 1.37 ± 1.42 cm3,The non-tumor tissues volume reduced by an average of 50.3% (p<0.05) , compared to the tumor activity
area.Discussion
Heterogeneous
distribution of tumor cells in GTV is a significant factor of radiotherapy
failure,1 suggesting that sub-volume region of tumor
activity may influence a radiotherapy plan. Consistent with
previous studies,2,3 DCEM showed that
morphologically active tumor could clearly differentiate tumor from non-tumor
tissues. It could detect the liquefaction necrosis area and the incomplete liquefaction
necrosis areas that were not able to be found on T2WI images. Physicians can
follow DCEM to delineate the sub-volume of the target regions, and precisely give a higher
dose in contrast agent clearance region marked as blue (Fig.2) in order to reduce the risk of radiotherapy failure in brain tumor, and consequently lower
the recurrence rate.Conclusion
In conclusion, compared to T2WI, the DCEM
has advantages in identifying the liquefaction area and
could clearly
differentiate sub-volume of active tumor from non-liquefaction
necrosis. Therefore, DCEM is meaningful in guiding the delineation of sub-volume
in primary
and metastatic brain tumors.Acknowledgements
This research was supported by the National Key Research and Development Program of China (2017YFC0113202) References
1. Grosu
AL,Souvatzoglou M,Röper B,et al. Hypoxia imaging with FAZA-PET and theoretical
considerations with regard to dose painting for individualization of
radiotherapy in patients with headand
neck cancer. Int J Radiat Oncol Biol Phys 2007;69:541-551.
2. Zach L,Guez D,Last D,et al. Delayed contrast
extravasation MRI for depicting tumor and non-tumoral tissues in primary and
metastatic brain tumors. PLoS One 2012;7:e52008.
3. Zach
L,Guez D,Last D,et al. Delayed contrast extravasation MRI: a new paradigm in
neuro-oncology. Neuro Oncol 2015;17:457-465.