myelin and more: mcdespot applied to post mortem ......myelin and more: mcdespot applied to post...

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Myelin and More: mcDESPOT Applied to Post Mortem Multiple Sclerosis Spinal Cord Amy R. McDowell 1 , Tobias C. Wood 2 , Natalia Petrova 1 , Daniele Carassiti 1 , Marc Miquel 3 , David Thomas 4 , Gareth J. Barker 2 , and Klaus Schmierer 5,6 1 Blizard Institute, Queen Marys University of London, London, United Kingdom, 2 Neuroimaging, King's College London, London, United Kingdom, 3 Clinical Physics, Barts Health NHS Trust, London, United Kingdom, 4 UCL Institute of Neurology, London, United Kingdom, 5 Barts and The London School of Medicine & Dentistry, Blizard Institute, London, Greater London, United Kingdom, 6 Neurology, Barts Health NHS Trust, London, Greater London, United Kingdom Target Audience This study is of relevance to MR physicists and clinicians with an interest in Multiple Sclerosis (MS) and spinal cord imaging. Purpose Quantitative MRI has potential to improve contrast, inter- and intra-site repeatability and easier interpretation compared to qualitative MRI. Steady- state methods allow time efficient quantification of the fundamental relaxation time constants T1 and T2 via the Variable Flip Angle or DESPOT1/2 method. By combining T1 and T2 information, separate water pools can be detected with short, medium and long T2 values, thought to correspond to myelin water fraction (MWF), intra/extra-cellular water fraction (IEWF), and free water fraction (FWF). Demyelination and axonal loss of the spinal cord are fundamental causes of disability affecting people with MS (pwMS), with spinal cord pathology remaining difficult to assess in-vivo. To validate quantitative MR indices derived from multi-component (mc)DESPOT 1 we applied this technique to post-mortem MS spinal cord samples subsequently processed for histology to explore the distribution of myelin. Methods Complete formalin-fixed spinal cords of 3 pwMS (1 male, 2 female; age 67-87 years; disease duration 8-44 years; duration of fixation 1127-1441 days) were placed on a Perspex frame, inserted in glass tubes and immersed in perfluoropolyether. The whole cords were first imaged on a Philips Achieva 3T scanner using a 15 element SENSE Spine coil, allowing nine areas of interest to be identified (on PD-weighted images). These areas were then scanned using a 7T pre- clinical scanner (Agilent Technologies DDR) and standard quadrature RF coil (Rapid GmbH). SPGR and SSFP (with 2 RF phase-cycles) scans were acquired with parameters given in Table 1, along with an AFI scan for B1 correction 2 . The images were resampled at 150x150x300μm 3 for improved SNR. T1, T2 & PD maps were processed from all flip-angles. Due to the fixation process, shorter T1 and T2 ranges than in-vivo were required to produce MWF, IEWF & FWF maps (Table 2). MR maps were matched with histology by comparing positional information from the 3T whole cord scans and 7T scans. ROIs were outlined on PD maps (Figure 1) produced from DESPOT2 and transferred using MIPAV (http://mipav.cit.nih.gov/) to all other maps. Cords were dissected throughout into blocks of 5mm thickness, processed for embedding in paraffin, and sections stained for Haematoxylin & Eosin (H&E) and Myelin Basic Protein (MBP). Focal areas of complete myelin loss were identified as demyelinated lesions in the white (WML) and grey matter (GML). Cellularity was determined by counting the number of cells in four square ROIs (size: 120×120μm 2 ) cast onto WML and non-lesional white matter (NLWM) on H&E stained sections, and expressed as cells/mm 2 . Table 1 and 2: Imaging and processing parameters Results and Discussion Figure 1 shows matched histology and quantitative MR index maps of one MS spinal cord. Excellent visual match was achieved between histology and PD maps. T1 maps show reasonable contrast. The contrast on T2 maps was reduced due to shortening of relaxation times by tissue fixation. Given the MWF is derived from the short T2 component, we were concerned the MWF map would also show poor contrast. However, as illustrated in Figure 1, MWF maps revealed good separation of white, grey and lesional tissue compartments within the spinal cord (high myelination in the NLWM and very low myelination in lesions). We hypothesise there may be an influence of a short T1 component on the derived MWF. Reduced exchange of magnetisation between proton pools in fixed tissue during T1 recovery would enable separate T1 components to be observed, which could explain why this technique reveals such good tissue contrast despite shortened relaxation times. Figure 1: Histological sections stained for MBP and H&E, and corresponding quantitative MR maps of cervical (top row) and thoracic (rows 2-4) MS post mor- tem spinal cord. The circle in the FWF map corresponds to severe hypocellularity on H&E staining. The graphs in Figure 2 show the distribution of values in each of the 3 samples, while Table 3 gives the average values of all indices across all spinal cords. Figure 2: Graphs showing the distribution of values for T1, T2, MWF, IEWF and FWF in the 3 spinal cord samples Some of the lesions show a significant FWF component (see, for example, circled area in Figure 1), which was investigated using the H&E stained sections. High FWF corresponds to areas of low cellulari- ty (Table 4) which is biologically plausible and should be explored further as a potential marker of inflammation and/or gliosis. Conclusion mcDESPOT was successfully applied to fixed post- mortem MS spinal cord. Good correspondence was detected be- tween MWF and the myelination status in NLWM, grey matter, GML and WML. FWF maps may be useful to estimate cellularity. Further evaluation of these findings in a larger sample is underway. References 1. Deoni SC, Rutt BK, Arun T, Pierpaoli C, Jones DK. Gleaning multicomponent T1 and T2 information from steady-state imaging data. Magn Reson Med 2008;60:1372- 1387. 2. Yarnykh VL. Actual flip-angle imaging in the pulsed steady state: a method for rapid three-dimensional mapping of the transmitted radiofrequency field. Magn Reson Med 2007;57:192-200. Pool MWF IEW FWF T1 (ms) 50-200 250-600 650-2000 T2 (ms) 1-12 15-30 50-500 Sequence TE/TR (ms) Flip-Angles Voxel Size ( m 3 ) Matrix Size SPGR 11.3/25 6,8,10,15,20,25,35,45 100x125x200 160x160x160 SSFP 2/4 14,17,20,25,35,50,65 100x125x200 160x160x160 AFI 2.62/7.5 55 250x250x500 64x64x64 NLWM Grey mat- ter WML GML T1 (ms) 473±88 571±97 604±72 641±42 T2 (ms) 16±2 18±2 18±2 17±1 MWF % 10±9 9±6 2±1 3±2 IEF % 85±10 86±18 82±16 80±18 FWF % 4±2 10±18 15±16 17±18 ROI Lesion (cells/mm2) NLWM (cells/mm2) 1 174 186 2 146 255 3 189 194 4 276 278 5 122 161 6 123 139 7 217 214 Tables 3 and 4: Average values of T1, T2, MWF, IEWF and FWF across all spinal cords and density of cells found in lesions and NLWM. Proc. Intl. Soc. Mag. Reson. Med. 23 (2015) 3277.

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Page 1: Myelin and More: mcDESPOT Applied to Post Mortem ......Myelin and More: mcDESPOT Applied to Post Mortem Multiple Sclerosis Spinal Cord Amy R. McDowell 1, Tobias C. Wood2, Natalia Petrova

Myelin and More: mcDESPOT Applied to Post Mortem Multiple Sclerosis Spinal Cord Amy R. McDowell1, Tobias C. Wood2, Natalia Petrova1, Daniele Carassiti1, Marc Miquel3, David Thomas4, Gareth J. Barker2, and Klaus Schmierer5,6

1Blizard Institute, Queen Marys University of London, London, United Kingdom, 2Neuroimaging, King's College London, London, United Kingdom, 3Clinical Physics, Barts Health NHS Trust, London, United Kingdom, 4UCL Institute of Neurology, London, United Kingdom, 5Barts and The London School of Medicine &

Dentistry, Blizard Institute, London, Greater London, United Kingdom, 6Neurology, Barts Health NHS Trust, London, Greater London, United Kingdom

Target Audience This study is of relevance to MR physicists and clinicians with an interest in Multiple Sclerosis (MS) and spinal cord imaging. Purpose Quantitative MRI has potential to improve contrast, inter- and intra-site repeatability and easier interpretation compared to qualitative MRI. Steady-state methods allow time efficient quantification of the fundamental relaxation time constants T1 and T2 via the Variable Flip Angle or DESPOT1/2 method. By combining T1 and T2 information, separate water pools can be detected with short, medium and long T2 values, thought to correspond to myelin water fraction (MWF), intra/extra-cellular water fraction (IEWF), and free water fraction (FWF). Demyelination and axonal loss of the spinal cord are fundamental causes of disability affecting people with MS (pwMS), with spinal cord pathology remaining difficult to assess in-vivo. To validate quantitative MR indices derived from multi-component (mc)DESPOT1 we applied this technique to post-mortem MS spinal cord samples subsequently processed for histology to explore the distribution of myelin. Methods Complete formalin-fixed spinal cords of 3 pwMS (1 male, 2 female; age 67-87 years; disease duration 8-44 years; duration of fixation 1127-1441 days) were placed on a Perspex frame, inserted in glass tubes and immersed in perfluoropolyether. The whole cords were first imaged on a Philips Achieva 3T scanner using a 15 element SENSE Spine coil, allowing nine areas of interest to be identified (on PD-weighted images). These areas were then scanned using a 7T pre-clinical scanner (Agilent Technologies DDR) and standard quadrature RF coil (Rapid GmbH). SPGR and SSFP (with 2 RF phase-cycles) scans were acquired with parameters given in Table 1, along with an AFI scan for B1 correction2. The images were resampled at 150x150x300μm3 for improved SNR. T1, T2 & PD maps were processed from all flip-angles. Due to the fixation process, shorter T1 and T2 ranges than in-vivo were required to produce MWF, IEWF & FWF maps (Table 2). MR maps were matched with histology by comparing positional information from the 3T whole cord scans and 7T scans. ROIs were outlined on PD maps (Figure 1) produced from DESPOT2 and transferred using MIPAV (http://mipav.cit.nih.gov/) to all other maps. Cords were dissected throughout into blocks of 5mm thickness, processed for embedding in paraffin, and sections stained for Haematoxylin & Eosin (H&E) and Myelin Basic Protein (MBP). Focal areas of complete myelin loss were identified as demyelinated lesions in the white (WML) and grey matter (GML). Cellularity was determined by counting the number of cells in four square ROIs (size: 120×120μm2) cast onto WML and non-lesional white matter (NLWM) on H&E stained sections, and expressed as cells/mm2. Table 1 and 2: Imaging and processing parameters

Results and Discussion Figure 1 shows matched histology and quantitative MR index maps of one MS spinal cord. Excellent visual match was achieved between histology and PD maps. T1 maps show reasonable contrast. The contrast on T2 maps was reduced due to shortening of relaxation times by tissue fixation. Given the MWF is derived from the short T2 component, we were concerned the MWF map would also show poor contrast. However, as illustrated in Figure 1, MWF maps revealed good separation of white, grey and lesional tissue compartments within the spinal cord (high myelination in the NLWM and very low myelination in lesions). We hypothesise there may be an influence of a short T1 component on the derived MWF. Reduced exchange of magnetisation between proton pools in fixed tissue during T1 recovery would enable separate T1 components to be observed, which could explain why this technique reveals such good tissue contrast despite shortened relaxation times.

Figure 1: Histological sections stained for MBP and H&E, and corresponding quantitative MR maps of cervical (top row) and thoracic (rows 2-4) MS post mor-tem spinal cord. The circle in the FWF map corresponds to severe hypocellularity on H&E staining. The graphs in Figure 2 show the distribution of values in each of the 3 samples, while Table 3 gives the average values of all indices across all spinal cords.

Figure 2: Graphs showing the distribution of values for T1, T2, MWF, IEWF and FWF in the 3 spinal cord samples

Some of the lesions show a significant FWF component (see, for example, circled area in Figure 1), which was investigated using the H&E stained sections. High FWF corresponds to areas of low cellulari-ty (Table 4) which is biologically plausible and should be explored further as a potential marker of inflammation and/or gliosis. Conclusion mcDESPOT was successfully applied to fixed post-mortem MS spinal cord. Good correspondence was detected be-tween MWF and the myelination status in NLWM, grey matter, GML and WML. FWF maps may be useful to estimate cellularity. Further evaluation of these findings in a larger sample is underway.

References 1. Deoni SC, Rutt BK, Arun T, Pierpaoli C, Jones DK. Gleaning multicomponent T1 and T2 information from steady-state imaging data. Magn Reson Med 2008;60:1372-1387. 2. Yarnykh VL. Actual flip-angle imaging in the pulsed steady state: a method for rapid three-dimensional mapping of the transmitted radiofrequency field. Magn Reson Med 2007;57:192-200.

Pool MWF IEW FWF T1 (ms) 50-200 250-600 650-2000T2 (ms) 1-12 15-30 50-500

Sequence TE/TR (ms) Flip-Angles Voxel Size (μm3) Matrix Size SPGR 11.3/25 6,8,10,15,20,25,35,45 100x125x200 160x160x160 SSFP 2/4 14,17,20,25,35,50,65 100x125x200 160x160x160 AFI 2.62/7.5 55 250x250x500 64x64x64

NLWM Grey mat-ter WML GML

T1 (ms) 473±88 571±97 604±72 641±42 T2 (ms) 16±2 18±2 18±2 17±1 MWF % 10±9 9±6 2±1 3±2

IEF % 85±10 86±18 82±16 80±18 FWF % 4±2 10±18 15±16 17±18

ROI Lesion (cells/mm2)

NLWM (cells/mm2)

1 174 1862 146 2553 189 1944 276 2785 122 1616 123 1397 217 214

Tables 3 and 4: Average values of T1, T2, MWF, IEWF and FWF across all spinal cords and density of cells found in lesions and NLWM.

Proc. Intl. Soc. Mag. Reson. Med. 23 (2015) 3277.