Hagen H Kitzler1, Köhler Caroline1, Wahl Hannes1, Eisele C Judith2, Sean C Deoni3, Brian K Rutt4, Tjalf Ziemssen2, and Jennifer Linn1
1Neuroradiology, Technische Universität Dresden, Dresden, Germany, 2Neurology, Technische Universität Dresden, Dresden, Germany, 3Children's Hospital, Colorado, University of Colorado Medical School, Denver, CO, United States, 4Radiology, Stanford University, Stanford, CA, United States
Synopsis
Myelin Imaging is a potential tool to study demyelination
and remyelination in inflammatory central nervous system diseases. This work
presents a specific approach of tracking the individual myelination in single Multiple
Sclerosis lesions and their pattern in Clinically Isolated Syndrome and early MS.
Within n = 137 lesions of n = 15 patients we found 25% constant myelin loss, 14% permanent myelin regain, 56% fluctuating
myelin content, and, 5% stable myelin reduction. These findings
demonstrate an in vivo measurable highly dynamic individual lesion myelination status in
inflammatory early disease. This method may facilitate to observe damage and reparative
mechanism distribution in individual patients.Purpose
Multi-component Driven Equilibrium Single Pulse
Observation of T1 and T2 (mcDESPOT) is a
whole-brain magnetic resonance relaxation method that allows the evaluation of
white matter (WM) myelination by means of measuring the volume fraction of
myelin (VFM)
1. Besides providing the prospect to quantify the hidden
demyelinating burden of disease in normal appearing tissue
2 the mean
VFM within lesional WM pathology revealed to be the greatest risk factor for
the conversion of CIS to clinical definite MS in recent work3. The
aim of this work was to observe lesion myelination within the first year of
CIS and early MS.
Methods
A 1.5 T MR scanner (Sonata, Siemens Healthcare, Germany) and an 8-channel
head RF coil were used to derive multi-component T1 and T2 information from
sets of Fast Low Angle SHot (FLASH)
and True Fast Imaging with Steady State
Precession (TrueFISP) data acquired over a range of flip angles at constant
TR1. FOV=22cm, matrix=128^2, 1.7mm^3, acquisition
time ~13min; FLASH: TE/TR=2.0/5.7ms, α={5,6,7,8,9,11,13,18}°; FISP: TE/TR=1.71/3.42ms, α={9,14,19,24,28,34,41,51,60}°.
Common data post processing involving brain extraction and
co-registration of scans were used (SPM/FSL)2. VFM maps were
calculated from FLASH and TrueFISP data for each subject and time-point using
the mcDESPOT theory and processing method1. A semi-automatic method
was used to generate binary masks of MS lesions, focal areas of elevated signal
intensity in FLAIR data2.
In four steps the new algorithm
Automatic
Follow-up of Individual Lesion (AFIL)
found corresponding lesions in time-series. (1) The function bwlabeln (MATLAB Image Processing
Toolbox) found related lesion in the masks and labeled them (
Fig.1), (2) determined intersections in
space with lesions of prior time points. (3) distinguished new lesions without
intersections with a previous time-point. (4) obtained a global label to be
observed in a time-series. Lesion volumes and mean VFM were quantified. The
threshold of the lesion mean VFM change ≤ ± 0,01
was used to define single lesion categories as [A]
dynamic, [B]
demyelinating,
[C]
remyelinating
(>+0,01), and, [D]
stable. The normal WM mean VFM was
obtained from healthy controls.
Results
In total n=137 lesions were
evaluated longitudinally. A dynamic in decrease and increase in VFM was found
in 56% of the lesions. Progressive demyelination was found in 25% and
remyelination in 14%. A minor number of lesions (5%) showed stable myelination
over all time-points. In contrast to FLAIR, the myelin-sensitive VFM revealed
different prospects in lesion development (
Fig.2).
Demyelinating lesions had 10% median loss, (IQR=13%) and dynamic lesions -4%
(IQR=17%) of VFM whereas remyelinating lesion revealed a regain of 27% (IQR=25%) in VFM.
Discussion & Conclusion
Our
findings demonstrate an
in vivo
measurable highly dynamic individual lesion myelination status in CIS and
subsequent early MS. The new method facilitates to quantify lesion formation
and to observe damage and reparative mechanism distribution in individual
patients. This may allow depicting phenotypes of the extent of myelin loss and
its dynamic features to select patients for individualized therapeutic
approaches and to monitor their treatment response.
Acknowledgements
This work was supported by Novartis
Pharma GmbH research grant: MFTY720A_FVTW028References
[1] Doni et al., Magn Reson Med. 2008;6;1372-87
[2] Kitzler et al., NeuroImage. 2012;59(3):2670-7
[3] Kitzler
et al. Proc. Intl. Soc. MR Med. 23; 2015: 4372