Caroline Guglielmetti1, Tanguy Boucneau2, Peng Cao2, Annemie Van der Linden3, Peder Larson2, and Myriam M Chaumeil1
1University of California San Francisco, San Francisco, CA, United States, 2Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 3University of Antwerp, Antwerp, Belgium
Synopsis
Many advances in
neuroimaging have improved diagnosis and care of Multiple Sclerosis (MS) patients.
However, current clinical methods fail to detect the majority of cortical lesions.
In this work, we used the well characterized cuprizone mouse model for brain
demyelination to evaluate the
sensitivity of in vivo ultra-short
echo time (UTE) measurements for the non-invasive detection of grey and white
matter alterations. We showed that UTE enabled the detection of cortical lesions
and the assessment of myelin integrity in the white matter following demyelination
and spontaneous remyelination.Introduction
Grey matter demyelination is an important facet of multiple
sclerosis (MS) physiopathology, which has been associated with cognitive
disabilities1. Although MRI is the gold standard for the diagnosis
and monitoring of MS, the vast majority of cortical alterations present in MS
patients still fail to be detected. Development of ultra-short echo time (UTE) has
enabled the detection of myelin sheats2 and thus hold great
potential for the non-invasive detection of demyelinating lesions in both white
and grey matter.
The cuprizone (CPZ) mouse model is a well-established model
of central nervous system (CNS) toxic demyelination and spontaneous
remyelination3. CPZ administration results in variable spatial and temporal
patterns of demyelination in white and grey matter within the CNS, specifically
the corpus callosum (CC). This model allows the study of several degree of
demyelination and associated neuroinflammation within the same animal.
In the present work, we examined the temporal changes of UTE
measures following acute CPZ-induced inflammation/demyelination and evaluated
the sensitivity of in vivo UTE
measurements for the detection of cortical grey matter and white matter
alterations. Importantly, we compared the sensitivity of UTE with that of conventional
T2-weighted (T2w) imaging on a clinical 7T system. We performed longitudinal UTE and T2w MRI at key time
points of white matter inflammation/demyelination, cortical demyelination and subsequent
remyelination. We showed that UTE was more specific to myelin integrity than
conventional T2w imaging, thus demonstrating its potential clinical value for
diagnosis and monitoring of MS patients.
Methods
Animals: C57BL/6J mice (n=19) received a 0.2% CPZ diet
for 6 weeks to induce demyelination and neuroinflammation. Animals were
returned to a standard rodent chow to allow for remyelination. A total of six mice were imaged
longitudinally prior (W0) and after 4 and 6 weeks of CPZ (W4, W6) and after 6
weeks after returning to a normal diet (W6+6), (Fig.1A).
MR acquisitions: 2D multi-slice T2w images were acquired on a GE
7T system (GE Healthcare, Waukesha, WI) using the following parameters: TR = 2
s, TE = 13.6 ms , NA = 3, Voxel size = 250*250µm2 , slice thickness = 1 cm. 3D
UTE with off-resonance saturation contrast (OSC) images were acquired using: TR
= 20ms , TE=,76µs NA = 4, Voxel sixe = 200*200*500µm3, saturation
pulse = 90 degrees; -1800 Hz off-resonance.
Data
analysis: UTE
off-resonance saturation ratio (OSR) images were reconstructed using the
following formula: MUTE-OSR = (|Mno sat| - |Msat|)
/ |Mnosat|. Regions
of interest (ROI) were manually delineated with AMIRA software (Mercury Computer
systems, San Diego, USA) on T2w images. Regional average signal was normalized
to the mean cerebral spinal fluid signal of the third ventricle. In a similar
manner, ROIs were delineated on UTE-OSR images. White matter regions include
the splenium and the genu of the CC and grey matter regions the somatosensory
cortices and caudate-putamen (Fig.1B).
Results are presented as mean signal intensity ±SD and statistical significance
between time points was evaluated using repeated measures (IBM SPSS Statistics
v.23, *p<0.05, **p<0.01, ***p<0.005).
Immunofluorescence (IF): IF analyses were performed for myelin interity
(MBP).
Results and conclusion
Both mean UTE-OSR and T2w signal intensity were
able to detect demyelination induced by CPZ after 4 and 6 weeks of CPZ
administration at the level of the splenium (Fig.2A-B). However, only UTE-OSR could distinguish the spontaneous
remyelination that occurs between W4 and W6 of CPZ (p=0.0207).
Additionally,
UTE-OSR was sensitive to long-lasting impairment of myelination after
remyelination has occurred (p=0.044).
In the somatosensory cortices, maximal
demyelination usually occurs after 6W of CPZ, and is followed by spontaneous
remyelination once CPZ is withdrawn from the diet. While T2w imaging failed to
detect any cortical alterations (Fig.2C),
it is interesting to note that UTE-OSR was able to determine long lasting
effects related to a demyelinating event, and therefore suggests that UTE-OSR
may also be indicative of additional processes linked to tissue remodelling.
Similarly, UTE-OSR detected demyelination and
long-lasting changes in the caudate putamen (Fig.3A) and the genu of the CC, a region mildly affect by CPZ diet
(Fig.3B).
Further IF analyses are currently ongoing to evaluate myelin
integrity at each time points and associated neuroinflammatory events including
microgliosis and astrogliosis.
In conclusion, our results demonstrate that UTE-OSR shows higher
sensitivity to myelin integrity in grey and white matter as compared to
conventional T2w imaging. This method could thus improve the diagnosis and
monitoring of MS patients on clinical 7T MR systems.
Acknowledgements
IWT-Vlaanderen PhD grant; NMSS_PP3395;
Cal-BRAIN349087; UCSF_RAP7500634; UCSF Department of Radiology seed grants
#14-04 & #14-05; NIH-funded Hyperpolarized MRI Technology Resource Center
#P41EB013598; NIH-NCRR UCSF-CTSI (Grant Number UL1 RR024131); National Multiple
Sclerosis Society Pilot Grant (PP3360).References
[1] Lucchinetti, NEJM
(2011)
[2] Wilhelm, PNAS (2012)
[3] Praet, Bio Beha. Rev (2014)
[4] Guglielmetti, NeuroImage (2015)