Ka-Loh Li1, Ibrahim Djoukhadar1, Sha Zhao1, Natale Quartuccio1, Amy Watkins1, Xiaoping Zhu1, and Alan Jackson1
1Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, United Kingdom
Synopsis
The relationship between three functional parameters
related to cell density, ADC, R1N, and ve, were examined in 12 patients with vestibular
schwannomas pre- and post- anti-angiogenic therapy. 3D maps of R1N
obtained with variable flip angle images, and ve derived from DCE-MRI were compared to
3D maps of ADC. The tumor mean values of ADC,
R1N and ve
showed correlation to each other before bevacizumab treatment. This correlation was lost after three-months of
treatment. Both R1N and ADC
displayed power in prediction of treatment. R1N showed more sensitive to anti-angiogenic
therapy induced changes in VS than ADC or ve.
Purpose
The apparent diffusion coefficient (ADC), the
native longitudinal relaxation rate (R1N), and the extravascular
extracellular volume fraction (ve)
are three related parameters, which are affected by tumor cell
density and water content in the tissue.1,2 Investigating
their relationship and treatment-induced changes in their relationship will
lead to better understanding the three parameters as imaging biomarkers for cancer treatment response. In this study, we
compare the three parameters for patients with vestibular schwannomas
(VS) treated with bevacizumab.Methods
12 patients
with type 2 neurofibromatosis
(NF2) related VS
were imaged on a 1.5-T Philips
Achieva
scanner. Patients were treated with the anti-vascular endothelial growth factor
antibody, bevacizumab,
5 mg/kg every 2 weeks. The patients
received scans before and three-month after treatment. Dynamic contrast-enhanced
(DCE) MRI
was performed
using a low dose (0.02 mmol/kg) high temporal resolution (LDHT) technique.3 Data were analyzed
with the extended Tofts model to allow measurement of contrast transfer coefficient
(Ktrans),
blood plasma
fraction
(vp), and
extravascular extracellular
space fraction (ve). R1N was measured using a variable
flip angle technique. ADC was calculated from diffusion-weighted imaging. Longitudinal co-registration
was performed for all scans for each participant. The ADC volume maps, 3D-VFA series and images
from the LDHT-DCE 4D dynamic series from each visit were co-registered to one pre-contrast
high spatial resolution DCE 3D data set acquired on day zero. VSs were segmented
using a semiautomatic segmentation program (SX plugin for Osirix, Segmentix, Fr).
The results of segmentation were reviewed and, where necessary, edited by an experienced
neuroradiologist (A.J.). Average values were then derived from the 3D region of
interest (ROI). The changes in the tumor mean values in ADC, R1N,
and ve over the course of bevacizumab treatment were
compared. The 20 VSs were divided into two groups: responders (Res.) and
nonresponders (Non.). Response was defined as a volume reduction exceeding 0.125
cm3 or a relative volume decrease exceeding 5%.Results
20 VSs from the 12
patients were analyzed. Fig. 1 demonstrates linear regression analysis of the
relationship between each pair of the ADC, R1N and ve mean tumor values pre- and post-therapy. The results
from the linear regression analysis (R2 and P-value) are listed in Table 1. Pre-treatment
mean ADC and R1N
showed a strong correlation (R2 = 0.648, P < 0.0001)
between the 2 parameters. ADC and ve, and R1N and ve showed a weak correlation respectively. However, these correlations were lost following
bevacizumab therapy. The
difference in mean parameter values pre- and three month post-therapy was
tested with the paired t-test
(Table 2). Only R1N showed significant
difference pre- and post-therapy in the responder group.Discussion
The tumor mean values of ADC, R1N and ve showed correlation to each
other before bevacizumab treatment. The correlation lost three-month after treatment. Both R1N and ADC
displayed power in prediction of treatment.3 R1N showed more sensitive to anti-angiogenic
therapy induced changes in VS than ADC and ve.Conclusion
This study may provide useful information for better understanding of R1N, ve and ADC as imaging biomarkers
for cancer treatment response in vestibular schwannomas over the course of bevacizumab treatment.Acknowledgements
No acknowledgement found.References
1. Anderson A, Xie J, Pizzonia J, et al. Effects
of cell volume fraction changes on apparent diffusion in human cells. MRI. 2000; 18:689-695.
2. Fung B. Correlation of relaxation
time with water content in muscle and brain tissues. Biochim Biophys Acta.1977;
497:317-322.
3. Li K, Djoukhadar I, Zhu X, et al. Vascular biomarkers
derived from dynamic contrast-enhanced MRI predict response of vestibular
schwannoma to antiangiogenic therapy in type 2 neurofibromatosis. Neuro
Oncol. 2015; 0:1-8.