Yan Xie1 and Wenzhen Zhu1
1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Synopsis
Keywords: Multiple Sclerosis, Multiple Sclerosis
Motivation: Multiple sclerosis (MS) lesions with different pathologic conditions could be distinguished by MRI. There may be differences in oxygen metabolism in different types of lesions.
Goal(s): To explore the oxygen metabolism of different types of lesions in MS patients by oxygen extraction fraction (OEF) both cross-sectionally and longitudinally.
Approach: The OEF map was reconstructed from a 3D multi-echo gradient echo scan. White matter lesions were classified into four types based on contrast-enhanced T1WI and quantitative susceptibility mapping.
Results: There were differences in OEF among different types of MS lesions. The OEF in the lesion and the lesion type may change as time progresses.
Impact: This study
revealed tissue damage and oxygen metabolism level in different types of MS
lesions. The OEF may contribute to further understanding of the pathological
mechanisms in MS lesion evolution.
Introduction
Based on the different pathological conditions, multiple
sclerosis (MS) lesions could be
classified into active lesions, chronic active lesions, chronic inactive
lesions and completely remyelinated lesions, and could be identified separately
by MRI[1; 2]. Active lesions which are known as enhancement
lesions (ELs) show enhancement on contrast-enhanced T1-weighted images (T1WI)[3]. Chronic active lesions were surrounded by activated
macrophages and iron-rich microglia,
appearing as paramagnetic rim
lesions (PRLs) on magnetic susceptibility sequences[4-6]. A new pathology/MRI study has demonstrated that fully remyelinated
lesions showed hypo-/iso-intense on quantitative susceptibility mapping (QSM)
whereas the hyperintense lesions on QSM represent chronic inactive lesions[7]. Although the basic characteristics of MS
lesions have been characterized and relatively consistent classification
criteria have been obtained, the clinical relevance and potential pathogenic
mechanisms of different types of lesions still need to be explored. Therefore, we
applied two quantitative MRI techniques, QSM and oxygen extraction fraction
(OEF), to reflect pathologic injury in different types of MS lesions in white
matter.Methods
Forty-six
RRMS patients had undergone MR examination that included T1WI
before and after gadolinium contrast agent injection, T2WI and 3D multi-echo
gradient echo (mGRE). Forty-one age- and gender-matched healthy controls
(HC) were included in the study. Eleven of the RRMS patients underwent a
follow-up MRI with a mean interval of 1.50±1.17
years. The QSM
was reconstructed from the mGRE sequence[8].The
OEF map was reconstructed using a integrated model of QSM and quantitative blood oxygenation
level dependent magnitude (QSM+qBOLD)[9]. Two neuroradiologists jointly divided MS lesions
into four subgroups based on contrast-enhanced T1WI and QSM, including ELs,
PRLs, hyperintense lesions and non-hyperintense lesions on QSM maps. The volume
on T2WI (T2VL), susceptibility and OEF of each lesion were recorded. The Kruskal-Wallis test and the Wilcoxon
signed-rank test was used to compare the differences in MRI metrics cross-sectionally and longitudinally. The Bonferroni method
was used for multiple comparisons correction.Results
Forty-seven ELs,
146 PRLs, 327 hyperintense lesions and 146 non-hyperintense lesions were included
in cross-sectional
study (Figure 1). The susceptibility of PRLs was significantly higher than that
of the remaining five white matter tissues (Figure 2). The hyperintense lesions
had higher susceptibility than ELs, non-hyperintense lesions, normal appear
white matter in RRMS and white matter in HC. The PRLs had lower OEF than ELs,
hyperintense lesions and non-hyperintense lesions. The
OEF of hyperintense lesions was significantly lower than that of
non-hyperintense lesions.
There were 55 PRLs, 67 hyperintense
lesions and 33 non-hyperintense lesions included in longitudinal analysis. The
T2VL and susceptibility of PRL at follow-up were significantly increased
compared with that at baseline (P=0.001, P=0.001, Figure 3). The OEF of PRL and hyperintense lesion
at follow-up was significantly decreased (P<0.001, P=0.011). During the follow-up period, 9
hyperintense lesions
converted to PRLs, 13 hyperintense
lesions converted to non-hyperintense
lesions and the remaining 133 lesions remained unchanged lesion type.
Therefore, hyperintense
lesions were categorized into three groups (Figure 4). In longitudinal analysis,
hyperintense lesions that
converted to PRLs had significantly increased T2LV and decreased OEF, hyperintense lesions with
unchanged subtype had significantly decreased OEF, and hyperintense lesions that converted to non-hyperintense lesions had
significantly decreased T2VL and susceptibility, and increased OEF (P=0.013)
(Figure 5).Discussion
MS patients may develop global cerebral
hypoperfusion due to decreased axonal activity, reduced energy metabolism in
astrocytes, and increased endothelin-1 concentrations in the blood[10]. However, the increased energy demand of impulse
conduction along excitable demyelinated axons and reduced axonal ATP
production, leaves demyelinated axons chronically hypoxic[11]. Chronic necrosis of axons and mitochondrial
dysfunction are therefore manifested as a decrease in focal OEF. PRLs have been
a topic of great interest in MS research in recent years. In longitudinal
analysis, we found that PRLs had greater volume, higher susceptibility, and lower OEF at follow-up. The above results
demonstrate PRLs are more likely to cause progressive tissue damage and may be a key
factor in MS disease progression.
Notably,
we found the conversion of lesion type in the hyperintense lesions, which may
become an important indicator to evaluate the effect of treatment.
Calvi et al.
found more slowly expanding MS lesions could be identified than PRLs, and some
MS lesions without paramagnetic rims also expanded over time[12]. This may be related to the
conversion of chronic inactive lesions to chronic active lesions, and more
histologic studies are needed to understand the pathological relevance.Conclusion
The
OEF could indirectly reflect the severity of tissue damage and distinguish
different types of MS lesion in white matter by monitoring tissue oxygen
extraction efficiency in a noninvasive quantitative manner.Acknowledgements
This work
was supported by the National Natural Science Foundation of China [grant
numbers U22A20354 and 81730049].References
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