Elizabeth D Phillips1, Llewellyn E Jalbert1, Yan Li1, Marisa M Lafontaine1, and Sarah J Nelson1
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
Synopsis
While
the feasibility of utilizing 2HG as a magnetic resonance biomarker has been
established ex vivo, several
different approaches to obtaining in vivo
data have been presented. This project aims to
assess the concordance of 2HG detection using asymmetric echo PRESS MRSI with IDH1R132H mutation as
identified via antibody staining in patients with LGG, and to investigate the
relationship of other metabolites detected with this sequence to IDH status.
Further
research is required before routine clinical implementation of these methods is
recommended.Introduction
The recent discovery of point mutations in
isocitrate dehydrogenase 1 & 2 (
IDH1/2) oncogenes and subsequent gain-of-function production
of 2-hydroxyglutarate (2HG) has permanently altered the clinical landscape
for patients with low-grade glioma (LGG). While the feasibility of utilizing
2HG as a magnetic resonance biomarker has been established
ex vivo [1], several different approaches to obtaining
in vivo data have been presented [2,3,4,5].
The asymmetric echo technique proposed by Choi et al [2] holds significant
promise due to its ease of implementation and use of J-modulation to highlight the
2HG signal.
Purpose
This project aims to
assess the concordance of 2HG detection using asymmetric echo PRESS MRSI with
IDH1R132H mutation as
identified via antibody staining in patients with LGG and to investigate the
relationship of other metabolites detected with this sequence to
IDH status.
Methods
A total of 26 patients with
newly-diagnosed (n=16) or recurrent (n=10) LGG were included in this IRB-approved
study. MR imaging
exams were either performed immediately prior to neurosurgery (n = 16) or as
part of a serial imaging study (n = 10) at our institution.
Scans were conducted on
a 3T EXCITE GE scanner (GE Healthcare) using an eight-channel phased-array head
coil. Data was acquired using a 3D 1H MRS asymmetric PRESS (TE =
97ms) with very selective saturation
(VSS) pulses for lipid signal suppression (excited
volume 80×100×40 mm3 or larger, overpress factor 1.2), TR/TE1/TE2 = 1140/32/65
ms, FOV = 16×16×16 cm3 (1×1×1 cm3 voxels) flyback
echo-planar readout gradient in the SI direction, 712 dwell points and 988 Hz sweep width.
Immunohistochemistry
(IHC) was performed to determine IDH1
mutation status.
Because the IDH1R132H
antibody is specific for histidine variants of IDH-enzymes, samples with other
IDH1 and IDH2 mutations, if present, would not have been detected.
MRSI data were
reconstructed using in-house software [6]. T2 hyperintense lesions were defined
on the axial FLAIR images. Spectra from voxels that were overlapping by ≥50% with
the region of T2 hyperintensity were phase- and frequency-corrected, and then averaged
to increase the SNR and improve the detection of 2HG (Figure 1). Metabolites in
these averaged spectra were quantified via fitting to a simulated data set with
21 metabolites, using the LCModel software package [7]. The metabolite levels that
are reported were normalized relative to total creatine (PCr+Cr), in order to
improve the quality of comparison between different scans and patients. The
detection of 2HG was defined by a positive nonzero linear combination fit with
Cramér-Rao Lower Bounds(CRLB)≤20% of the total estimate. For all other
metabolites, those with CRLB lower than 20% were involved in analysis.
Preliminary Results
The antibody staining
technique was positive for the IDHR132H enzyme in tissue samples
from 19 patients and negative in 7 patients.
An example of 3D MRSI
and averaged spectra from patient with IDH1+
oligodendroglioma is shown in Figure 1. The averaged number of T2 voxels from all
the patients was 34, and the number of T2 voxels for IDH1- and IDH1+ groups is
illustrated in Figure 2. The detection
of 2HG associated with IDH1-mutation
status as determined by IHC are presented in Table 1. There was a positive
agreement of 2HG detection with IDH1
mutation of 32% (6/19 IDH1+ samples
showed a statistically significant 2HG fit) and a negative agreement of 100% (7/7
IDH1− did not show any 2HG fit). This
resulted in an overall concordance of 50%. Figure 3 illustrates 2HG/tCr for
each subject. Comparisons between other metabolites demonstrated a
statistically significant difference between groups in levels of 2HG and
glutathione (GSH) (Figure 4).
Discussion
The non-invasive
detection of
IDH mutation has the potential to add highly valuable information
that will improve the clinical standard-of-care for patients with LGG. The results
of this study show that the sensitivity for detecting quantifiable levels of
2HG was low, which is in agreement with another recent preliminary report [8]. Further
research is required before routine clinical implementation of these methods is
recommended. Correlations between 2HG detection and tumor size, grade, and type
are being be explored and it is expected that IHC results for an additional 28
acquired scans will become available in the coming months. The observed
elevation of GSH in the
IDH1+
population was consistent with previous studies [9][10], and may reflect
elevated oxidative stress in this type of LGG[11].
Acknowledgements
Thank you to Adam Elkhaled for sharing knowledge and advice, Andrew Leynes for coding advice and troubleshooting, and Evan Neill for help with LC Model.References
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