Longitudinal Observation of Individual Multiple Sclerosis White Matter Lesions Using Quantitative Myelin Imaging
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 tissue2 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_FVTW028

References

[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

Figures

Segmented FLAIR lesions and corresponding labeled lesions in time-series (top row). False color corresponding quantitative VFM maps of the mcDESPOT data-fitting algorithm allowing observation of myelin content change.

Examples of three different lesions types (A, B, and, C; stable lesions (D) not shown) and theire change in VFM over time.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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