Maxime Parent1, John J. Walsh2, Lucas C. Adam1, Daniel Coman1, and D.S. Fahmeed Hyder1,2
1Radiology & Biomedical Imaging, Yale University, New Haven, CT, United States, 2Biomedical Engineering, Yale University, New Haven, CT, United States
Synopsis
The
malignant form of human glioblastoma multiforme (GBM) is linked to intratumoral
necrosis. Since novel immunotherapies are being sought to treat these patients,
non-invasively characterizing intratumoral necrosis in gliomas is clinically
important. Here, we describe a multi-modal MRI study of acidity, cellularity, and
vascularity in two glioma models that feature comparable necrosis and
proliferation, but differ in vascular markers. The intratumoral necrotic core
(INC) and intratumoral surrounding tissue (IST) had distinct slow and
fast Gd-enhanced profiles, respectively. Despite immunohistochemical/histopathological
differences, these GBM models show similar profiles of INC-IST gradients for acidity
and cellularity, but not for vascularity.
Background
Glioblastoma multiforme (GBM) is the most common primary tumor in the central
nervous system, and is characterized by a very poor prognosis for patients. In
particular, the malignant form of GBM has been associated with intratumoral
necrosis, where novel immunotherapies are being sought to treat these vulnerable
patients [1]. Therefore, to non-invasively characterize the intratumoral
necrotic core (INC) from the intratumoral surrounding tissue (IST) in gliomas
is crucial. For this purpose, MRI is a likely method for clinical translation
given its wide availability, minimal invasiveness, and lack of ionizing radiation.
Advanced MRI methods are now available for selective imaging of acidity,
cellularity, and vascularity in cancer. Tissue cellularity is reflected by the
apparent diffusion coefficient (ADC) measured by diffusion-weighted MRI [2]. Various vascular parameters (e.g.,
permeability-surface area or PS, plasma volume fraction or vp) can be measured from MRI profiles of dynamic contrast
enhancement (DCE) with Gd3+-agents [3]. Similarly, extracellular acidosis (pHe)
is imaged with Biosensor Imaging of Redundant Deviation in Shifts (BIRDS) using
Tm3+-agents [4]. We used multi-modal
MRI measures of acidity, cellularity, and vascularity to investigate the profiles
of INC-IST gradients. We used two human-derived cell lines - U87 and U251 - that
feature comparable intratumoral necrosis (H&E) and tumor proliferation (Ki-67), but different angiogenesis
localization (core: U87 > U251; peripheral: U251 > U87), tumor
suppression (mutated p53: U251 > U87), and hypoxia induction factor (HIF-1α:
U251 > U87) [5].Methods
A
total of 14 female athymic rats were imaged between 14 and 45 days after
intraparenchymal inoculation of either U251 (n = 6) or U87 (n = 8) tumor
cells. Images were acquired using a
11.74T spectrometer with Bruker console, while animals were anesthetized using
1.5% isoflurane in oxygen and their body temperature maintained at 35-37ºC
using a flowing warm water pad. First,
tumor cellularity was measured using DWI with b-values of 0, 300, 700, 1000,
2000 and 3000 s/mm2, with the ADC fitted and used as outcome
measure. DCE-MRI consisted of a spoiled-gradient echo acquisition (with flip
angle of 15º, TR of 39ms and 2.5/5ms dual-echo for T2* correction) every 5
seconds, starting 2 minutes before a bolus i.v. injection of 0.25mmol/kg gadobutrol
and lasting for a total of 22 minutes. Dynamic concentration curves were
calibrated using intrinsic T1 (from pre-injection RARE variable-TR sequence), r1 relaxivity of gadobutrol
previously measured in vitro, and T2*
correction from the second echo acquisition.
Pharmacokinetic modelling of concentration curves was performed using
the sagittal sinus as input function, with both a two-compartment exchange
model (assuming bilateral contrast exchange between plasma and tissue) and a
tissue-uptake model (assuming a mostly irreversible exchange from plasma to
tissue) [6]. Outcome measures of permeability and vascularity
were used from the model with the best fit. Lastly, acidosis was assessed using
BIRDS: following i.v. infusion of probenecid (to inhibit renal clearance) and
TmDOTP5-. Voxel-level chemical shifts of TmDOTP5- H2, H3
and H6 protons were used to estimate pHe [7].Results
A subset of tumors from both U251 and U87 lines exhibited a significant
heterogeneity in Gd3+ enhancement profiles. Clusters were defined
for INC (slow and irreversible uptake) and IST (faster reversible uptake; see
Figure 1) and used as regions of interest for further analyses. Representative
example of U251 and U87 multimodal parametric maps are shown in Figure 2.
Globally, both cell lines showed lower intratumoral (INC and IST) ADC compared
to the surrounding brain tissue. Similarly, intratumoral pHe was
globally lower compared to the extratumoral tissue although some larger tumors
had abnormal acidosis extending beyond the tumor boundary (see Figure 2c). U251
vascular permeability was highly heterogeneous in IST, and was higher in INC.
Conversely, U87 vascular permeability was more homogeneous, with the exception
of INC, which had lower contrast agent uptake. Lastly, vp measurements showed higher vascularization
in U251 compared to U87, with the exception of the INC which had little to no
vascularization for both cell lines. Figure 3 details the group-level
differences for all parameters.Discussion
Tumor vascularization gradient was notably cell line-dependent, and
differed in necrotic areas. DCE-driven segmenting of INC and IST shows that despite
cellular/molecular differences between U87 and U251, these GBM models show
similar INC-IST gradients for acidity and cellularity. These preliminary
results suggest that multi-parametric measurements of acidity, cellularity, and
vascularity can provide reproducible INC-IST gradients for these gliomas, with
comparable necrotic core in relation to its surrounding tissue.Acknowledgements
Supported by NIH
(R01EB-011968, R01CA-140102, P30NS-052519) and FRQS.
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