Multiple sclerosis (MS) is a CNS autoimmune disease of unknown etiology. Prior MS studies have characterized an inflammatory process involving the perivascular spaces (PVSs) of a central vein, but have reported conflicting results regarding which aspects of PVS anatomy correlate to clinical aspects of the disease. This preliminary study compared percentages of manually marked perivenular and non-perivenular PVSs in relapsing-remitting MS patients and healthy controls, and detected a higher rate of vein-coincident PVSs in the former group. We posit that perivenular PVSs have potential as a candidate imaging marker for MS diagnosis, disease activity, and treatment efficacy.
40,389 PVSs were manually marked across all six subjects, including 14,928 (36.96%) PVSs in RRMS patients and 25,461 (63.04%) in HCs. The average number of PVSs detected in RRMS and HCs were 4,976 and 8,487, respectively. 4,919 pPVSs were marked, 46.87% of which resided in the white matter of RRMS patients. On average, 15.19% of PVSs coincided with veins in RRMS patients, while only 10.26% of PVSs were perivenular in HCs. All RRMS patients individually exhibited a higher percentage of pPVSs than did those in the healthy control group (P=0.014; see Table 2 for more details).
To the authors’ knowledge, the present study is the first to demonstrate an increase in the proportion of detectable pPVSs in RRMS patients when compared to HCs. While all vessels are bordered by perivascular spaces, an abundance of PVSs remain indiscernible on MRI unless distended as a consequence of inflammatory activity.10,15 Our findings suggest that pPVSs are expanded in RRMS patients, a process which may precede the onset of lesion formation around a central vein.13,16 Perivenular PVSs hold potential as a novel candidate imaging marker for MS diagnosis, disease activity, treatment efficacy, and perhaps even progressive disease. These differences were detected in a preliminary set of three patients and three controls, and we intend to apply an automated PVS detection algorithm to a larger cohort in order to fully validate this novel candidate biomarker. Although clinical applications of 7T ultra-high-field imaging are expanding, the translation of this technique to 3T as a low-field biomarker is an area of active investigation within our group.
NIH R00 NS070821, NIH R01 MH109544, Icahn School of Medicine Capital Campaign, and the Translational and Molecular Imaging Institute.
1. Hersh CF, RJ. Multiple Sclerosis. Disease Management 2018; http://www.clevelandclinicmeded.com/medicalpubs/diseasemanagement/neurology/multiple_sclerosis/ - bib5. Accessed 10/31/2018, 2018.
2. Dutta R, Trapp BD. Mechanisms of neuronal dysfunction and degeneration in multiple sclerosis. Prog Neurobiol. 2011;93(1):1-12.
3. Magnetic Resonance Imaging. 2018; https://www.nationalmssociety.org/Symptoms-Diagnosis/Diagnosing-Tools/MRI - section-5, 2018.
4. Frischer JM, Weigand SD, Guo Y, et al. Clinical and pathological insights into the dynamic nature of the white matter multiple sclerosis plaque. Ann Neurol. 2015;78(5):710-721.
5. Reich DS, Lucchinetti CF, Calabresi PA. Multiple Sclerosis. N Engl J Med. 2018;378(2):169-180.
6. Song J, Wu C, Korpos E, et al. Focal MMP-2 and MMP-9 activity at the blood-brain barrier promotes chemokine-induced leukocyte migration. Cell Rep. 2015;10(7):1040-1054.
7. Agrawal S, Anderson P, Durbeej M, et al. Dystroglycan is selectively cleaved at the parenchymal basement membrane at sites of leukocyte extravasation in experimental autoimmune encephalomyelitis. J Exp Med. 2006;203(4):1007-1019.
8. Cavallari M, Egorova S, Healy BC, et al. Evaluating the Association between Enlarged Perivascular Spaces and Disease Worsening in Multiple Sclerosis. J Neuroimaging. 2018;28(3):273-277.
9. Etemadifar M, Hekmatnia A, Tayari N, et al. Features of Virchow-Robin spaces in newly diagnosed multiple sclerosis patients. Eur J Radiol. 2011;80(2):e104-108.
10. Wuerfel J, Haertle M, Waiczies H, et al. Perivascular spaces--MRI marker of inflammatory activity in the brain? Brain.2008;131(Pt 9):2332-2340.
11. Conforti R, Cirillo M, Sardaro A, et al. Dilated perivascular spaces and fatigue: is there a link? Magnetic resonance retrospective 3Tesla study. Neuroradiology. 2016;58(9):859-866.
12. Conforti R, Cirillo M, Saturnino PP, et al. Dilated Virchow-Robin spaces and multiple sclerosis: 3 T magnetic resonance study. Radiol Med. 2014;119(6):408-414.
13. Ge Y, Law M, Herbert J, Grossman RI. Prominent perivenular spaces in multiple sclerosis as a sign of perivascular inflammation in primary demyelination. AJNR Am J Neuroradiol. 2005;26(9):2316-2319.
14. Feldman RR, AL; Marcuse, LV; Rutland, JW; Fields, MC; Delman, BN; Balchandani, P. Quanti. International Society for Magnetic Resonance in Medicine 2018 Annual Meeting. 2018.
15. Ding J, Sigurethsson S, Jonsson PV, et al. Large Perivascular Spaces Visible on Magnetic Resonance Imaging, Cerebral Small Vessel Disease Progression, and Risk of Dementia: The Age, Gene/Environment Susceptibility-Reykjavik Study. JAMA Neurol. 2017;74(9):1105-1112.
16. Sati P, Oh J, Constable RT, et al. The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple Sclerosis Cooperative. Nat Rev Neurol. 2016;12(12):714-722.