Simran Kukran1,2, Joely Smith3,4, Luke Dixon1,3, Ben Statton5, Sarah Cardona3, Lillie Pakzad-Shahabi6,7, Matthew Williams6,8, Dow-Mu Koh2,9, Rebecca Quest3,4, Matthew Orton2, and Matthew Grech-Sollars1,3
1Department of Surgery and Cancer, Imperial College London, London, United Kingdom, 2Department of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom, 3Department of Imaging, Imperial College Healthcare NHS Trust, London, United Kingdom, 4Department of Bioengineering, Imperial College London, London, United Kingdom, 5Medical Research Council, London Institute of Medical Sciences, Imperial College London, London, United Kingdom, 6Computational Oncology group, Institute for Global Health Innovation, Imperial College London, London, United Kingdom, 7John Fulcher Neuro-oncology Laboratory, Department of Brain Sciences, Imperial College London, London, United Kingdom, 8Radiotherapy Department, Charing Cross Hospital, London, United Kingdom, 9Department of Radiology, Royal Marsden Hospital, London, United Kingdom
Synopsis
MR Fingerprinting
(MRF) was found to give highly repeatable T1 and T2 measurements in glioma and normal
appearing contralateral brain tissue. Validity was investigated via comparison to
standard mapping techniques: variable flip angle for T1 and multi-echo spin echo for T2. Biases were found between MRF and standard relaxometry methods, as in previous healthy volunteer studies. Statistically significant strong and
moderate correlations were found between the MRF and standard mapping methods
for T1 and T2 respectively, indicating MRF is comparably sensitive to changes in T1 and T2 as
established mapping techniques in both cancerous and normal appearing
contralateral brain tissue.
Introduction
In conventional T1 and T2 weighted
MR images, the absolute signal intensity depends on multiple relaxation
mechanisms and cannot be used quantitatively for diagnosis. Quantitative
relaxometry could improve tissue classification and clinical assessment of
brain tumours. However, long acquisition times mean quantitative relaxometry is
currently clinically infeasible[1]. Magnetic Resonance Fingerprinting (MRF) is a rapid
quantitative imaging framework, and has been shown to give reliable and
reproducible quantities in phantom[2] and healthy volunteer[3] studies. In this study, we assess the validity and repeatability of relaxation maps from an MRF prototype sequence in tumour regions and normal appearing contralateral
(NAC) grey matter (GM) and white matter (WM).Methods
11 patients (6 female, 5
male, 28-75 years, mean 57 years) with a radiological primary brain tumour
diagnosis (6 low grade glioma, 5 high grade glioma) were recruited to this
study following ethical approval and informed consent. MRI scans were performed pre-treatment on a 3T
MAGNETOM Prisma (Siemens Healthcare, Germany). The protocol included: 3D MPRAGE
(1x1x1mm3), 2D multi-echo spin echo (MESE: TR 3520ms, TE: 24, 48,
72, 96, 120, 144 and 168ms, 1x1x5mm3 voxels), 3D VIBE with variable
flip angles (VFA: TR 10ms, TE 1.43ms, six FA: 2°, 8°,12°,15°, 20° and 26°,
1x1x5mm3 voxels), two repeats of a 2D spiral FISP MRF prototype
sequence with 1500 repetition periods and 1x1x5 mm3 voxels[4] generating T1, T2 and M0 maps. T1 and T2 maps were
also produced by fitting standard equations[5,6] to VFA and
MESE images respectively.
Brain extraction and contralateral
tissue segmentation was performed on the high resolution MRPAGE in FreeSurfer
using the Desikan-Killiany brain atlas. MRF, VFA and MESE relaxometry maps were
registered to the segmented MPRAGE using FSL. T1 and T2 values in 11 of the normal
appearing brain regions contralateral to each tumour were extracted. Tumour
regions were outlined from hyperintense FLAIR signal by a neuroradiologist. ROI
pixels not surrounded by other ROI pixels in each dimension were eroded, and analysis
was carried out in Python and MATLAB. An example segmentation is shown in Figure 1. MRF data per
voxel were compared to the established methods and the repeatability of MRF
assessed using Bland-Altman (BA) statistics.Results
Median relaxation times in the NAC brain regions across all 11 patients are shown in Table 1. Violin plots for NAC GM and WM, as well as tumour regions are shown in Figure 2. In all ROIs, T1 and T2 values measured by MRF were lower than those obtained from established mapping techniques. Violin plots for repeat MRF measurements were mostly indistinguishable. Spearman’s Rho correlation testing of median values for each patient showed a strong and significant positive correlation between repeated MRF measurements, and a significant strong-to-moderate correlation between established mapping techniques and MRF (Table 2). Repeatability coefficients and biases were smaller for MRF repeats than MRF/VFA and MRF/MESE comparisons (Table 2). BA plots for tumour regions are shown in Figure 3. Discussion
Median MRF T1 and T2 values
in NAC tissue were in agreement with those measured for healthy volunteers[3]. As expected, the range of values in cancerous regions seen in
Figure 2 were highly varied across patients due to intra- and
inter-tumour heterogeneity. There was a high-to-moderate significant positive
correlation between T1 and T2 values from standard and MRF methods (T1: ρ=0.9703,
p<0.001, T2: ρ=0.6706, p<0.001), and between MRF repeats (T1: ρ=0.9943,
p<0.001, T2: ρ=0.9962, p<0.001), similar to a previous healthy volunteer
study[3]. The
bias was <2% for repeat MRF T1 and T2 measurements (Table 2). The variability
between patients in this study were greater than that of healthy volunteers[3]. This could be due to the older age of the brain
tumour patient cohort compared to the healthy volunteers, or tumours affecting
contralateral tissue properties.
Pixelwise
BA comparison between VFA and MRF T1 values in NAC GM and WM showed T1 MRF
values were lower than T1 VFA values with biases of 12.7% and 19.5% respectively (Table 2). This is broadly consistent with findings from phantom[2] and healthy volunteer
studies[3]. A similar bias was found in tumour regions
(18.6%) indicating consistency in measurement validity in cancerous regions.
Pixelwise BA comparison
between MESE and MRF T2 values in NAC GM and WM showed T2 MRF values were lower
than T2 MESE values with biases of 51.7% and 52.6% respectively, broadly consistent
with findings from phantom[2] and healthy volunteer[3] studies. A similar bias was
found in tumour regions (51.1%) indicating consistency in measurement validity
in cancerous regions.
Limitations
included some T2 violins (Figure 2) truncated at a threshold, indicating mapping had
failed below this value. Due to the high
intra-tumour heterogeneity, tumour subregions need to be analysed separately
and this will be included in future work. Analysis of normal appearing lateral tissue and peritumoural regions is also ongoing. Only one scanner was used, in future
a cross-site MRF study is required to assess inter-site and inter-scanner reproducibility. Conclusion
MRF was shown to be highly repeatable,
and significantly correlated with standard quantitative mapping techniques in both
overall tumour regions and NAC brain tissue regions. Acknowledgements
The authors would like to thank the volunteers
who participated in the study; Funding from the Imperial CRUK Centre and the Imperial NHS
Imaging Department; the Imperial NHS ImRes Group; the Imperial MRI Physics Collective; Iulius Dragonu and Mathias Nittka, Siemens Healthineers, UK and Germany.References
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