Periventricular venous density in multiple sclerosis is inversely associated with T2 lesion count: a 7 Tesla MRI study (Q44208203)

30 November 2017

title

Periventricular venous density in multiple sclerosis is inversely associated with T2 lesion count: a 7 Tesla MRI study (English)

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30 November 2017

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6

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30 November 2017

Friedemann Paul

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author name string

Tim Sinnecker

1

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30 November 2017

Ivan Bozin

2

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30 November 2017

Jan Dörr

3

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30 November 2017

Caspar F Pfueller

4

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30 November 2017

Lutz Harms

5

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30 November 2017

Alexander U Brandt

7

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30 November 2017

Jens Wuerfel

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30 November 2017

publication date

26 June 2012

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Multiple Sclerosis Journal

30 November 2017

published in

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30 November 2017

volume

19

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30 November 2017

issue

3

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30 November 2017

page(s)

316-325

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https://api.crossref.org/works/10.1177%2F1352458512451941

30 November 2017

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Decreased brain venous vasculature visibility on susceptibility-weighted imaging venography in patients with multiple sclerosis is related to chronic cerebrospinal venous insufficiency

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Hypoperfusion of brain parenchyma is associated with the severity of chronic cerebrospinal venous insufficiency in patients with multiple sclerosis: a cross-sectional preliminary report

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Evidence for widespread axonal damage at the earliest clinical stage of multiple sclerosis.

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Axonal injury in early multiple sclerosis is irreversible and independent of the short-term disease evolution

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Pronounced focal and diffuse brain damage predicts short-term disease evolution in patients with clinically isolated syndrome suggestive of multiple sclerosis.

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Relationships between gray matter metabolic abnormalities and white matter inflammation in patients at the very early stage of MS : a MRSI study.

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Functional magnetic resonance imaging correlates of cognitive performance in patients with a clinically isolated syndrome suggestive of multiple sclerosis at presentation: an activation and connectivity study.

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Venous drainage in multiple sclerosis: a combined MRI and ultrasound study.

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21 January 2018

Identifiers

DOI

10.1177/1352458512451941

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30 November 2017

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