Prativa Sahoo1, Caroline Köhler2, Irini Gkalimani1, Paul Kunte2, Peter Dechent3, Gunter Helms4, Sean Deoni5, Hagen H Kitzler2, and Steffi Dreha Kulaczewski1
1Department of Pediatrics and Adolescent Medicine, University Medical Center Göttingen, Göttingen, Germany, 2Department of Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus Dresden, Dresden, Germany, 3Department of Cognitive Neurology, University Medical Center Göttingen, Göttingen, Germany, 4Lund University, Lund, Sweden, 5Bill and Medlinda Gates Foundation, Seattle, WA, United States
Synopsis
Keywords: Neuro, White Matter, DTI , MTI
X-linked
Pelizaeus Merzbacher disease is characterized by failure of myelin formation
and subsequent axonal damage. Severity of disease courses varies depending on
the underlying gene mutation. Eight male patients were recruited for the study.
MR-imaging protocol included MTI, MWI for evaluation of myelin related
parameters and DTI for assessment of axonal integrity. Decreased values in
quantitative MTI and MWI parameter maps and ROI analyses indicated severe
myelin deficit in all patients. However, FA reflected various degrees of axonal
involvement among patients with deferent genotypes. Multimodal MRI
can facilitate assessment of simultaneous disease processes in childhood
hypomyelinating leukodystrophies.
Introduction
Pelizaeus Merzbacher Disease (PMD) is a X-linked
childhood leukodystrophy (LD) characterized by failure of myelin formation.
Several mutations in the proteolipid protein (PLP) gene have been identified as
underlying causes. They give raise to different disease courses of varying
severity, i.e. a duplication lead to classical forms with onset in infancy and
symptoms like nystagmus, pronounced muscular hypotonia and developmental delay1.
All phenotypes share extensive signal hyperintens white matter (WM) on
T2-weighted MRI. Over time, all patients also develop spasticity as the
myelin deficit inevitably provokes axonal damage.
Following the recommendations for hypomyelinating LD our MRI protocol included diffusion
tensor imaging (DTI), magnetization transfer imaging (MTI) and multi-component
relaxation derived from mcDESPOT 2. Aims of this
longitudinal quantitative MRI study were to investigate, i) if myelin pathology
and axonal damage can be distinguished and assessed separately as two
distinct pathogenetic processes, ii) if severity of disease courses is
reflected in quantitative MRI parametersMethods
A
total of 8 male patients (age 2.5 – 37 yrs) with genetically confirmed PMD were
included in this study. Disease course and gene mutations are displayed in
Table 1. All patients underwent MRI
studies using a 3 T scanner (Siemens Healthcare, Magnetom
Tim Trio or Prisma Fit). Imaging protocol encompassed conventional T1- and
T2-weighted sequences as well as DTI, MTI and multi-component relaxation
derived from mcDESPOT with parameter settings as described before
3,4.
After
correction for eddy current effects, fractional anisotropy (FA) maps were
obtained from DTI images using the ‘dtifit’
function from FSL. Myelin water fraction (MWF) and MT
saturation (MTsat) maps were quantified from mcDESPOT and MT images
respectively by using inhouse developed Linux based tools3,4. For
each patient FA, MTsat and MWF maps were registered to the respective
T1-weighted image. Regions of interest (ROI) were placed manually on the FA
maps in the splenium (SPL) and then superimposed to the coregistered MTsat and MWF
maps. Mean FA, MTsat and MWF of the ROI were compared with
control data.
Control
data were selected from our local data base of neurologically asymptomatic
children. The control group consisted of 34 subjects for MTI measurements and
of 49 subjects for DTI studies with age range 0.2 – 18 years. Control values
for MWF were taken from literature published by Deoni et al.
5.
Table 1: Clinical data of the PMD patients |
Pat Nr. | Pat-1 | Pat-2 | Pat-3 | Pat-4 | Pat-5 | Pat-6 | Pat-7 | Pat-8 |
mutation | dupl. | point mut. | point mut. | point mut. | null mut. | dupl. | dupl. | point mut. |
disease course | classic | intermediate-classic | intermediate-classic | severe connatal | mild PLP null syndrome | classic | classic | classic |
no. of sessions | 5 | 1 | 2 | 1 | 1 | 1 | 1 | 1 |
dupl.: duplication; mut.: mutation; no.: number |
Results
Control data depicted normal myelination processes which slow down and level off at around 2.5 yrs of
age as reflected in both myelin related parameters obtained from SPL MTsat and
quantitative MWF (Figure 1). MTsat
values (obtained in 8) and MWF values (available from 5) patients were
significantly decreased. Pat-1 monitored over 8 yrs showed a mild
increase of both values over time. FA values of Pat-1, 2, 3, 6 were in lower normal ranges or slightly decreased. Lowest
FA in childhood was detected in Pat-4 with the most severe clinical course
(connatal, Table 1). Interestingly, Pat-5 with the mildest phenotype (Table 1) also showed a distinctly decreased FA. Figure 2 displays hyperintense
WM in the T2-weighted images of representative Pat-1 and 3 and in parallel the
global myelin deficit reflected by low values in the MTsat and MWF maps
compared to the control (bottom row). Discussion
The uniformly lower value of myelin related
parameters MTsat and MWF maps point to global hypomyelination in all
patients characteristic for PMD and in line with the literature6. ROIs
analyses were carried out in the highly parallel fibers of the SPL. The lowest
FA values in the pediatric patients could be found in Pat-2 with the most
severe conatal course which might reflect early involvement of axonal
structures. Interestingly, also Pat-5 demonstrated particularly low FA although
his mild clinical course being at the other end of a possible spectrum. However, in PLP
null syndrome axonal damage including loss and degeneration has been described
as the predominant pathology7.Conclusion
In conclusion, FA, the DTI parameter
analyzed, might reflect the extent of axonal involvement in the
different clinical phenotypes facilitating the assessment of parallel disease
processes in PMD. These phenotypes may be of utmost importance for potential therapeutic interventions. Subsequently, management of patients may need to be adjusted
accordingly. In this ongoing study other DTI parameter will be included as well
as brain volume measures and longitudinal data. Acknowledgements
No acknowledgement found.References
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