F
Franz Fazekas
Researcher at Medical University of Graz
Publications - 634
Citations - 59050
Franz Fazekas is an academic researcher from Medical University of Graz. The author has contributed to research in topics: Hyperintensity & Stroke. The author has an hindex of 101, co-authored 629 publications receiving 49775 citations. Previous affiliations of Franz Fazekas include Hospital of the University of Pennsylvania & University of Graz.
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Predicting the severity of relapsing-remitting MS: The contribution of cross-sectional and short-term follow-up MRI data:
Christian Enzinger,S Fuchs,Alexander Pichler,M Wallner-Blazek,Michael Khalil,Christian Langkammer,Stefan Ropele,Franz Fazekas +7 more
TL;DR: The results failed to confirm a clear independent contribution of cross-sectional and short-term follow-up MRI data for the prediction of the long-term clinical course of MS, and the MSSS is not a stable indicator of disease severity but may increase in converters to SPMS.
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Troyer syndrome: a combination of central brain abnormality and motor neuron disease?
Michaela Auer-Grumbach,Franz Fazekas,Herbert Radner,Andreas Irmler,S. Strasser-Fuchs,Hans-Peter Hartung +5 more
TL;DR: The Troyer syndrome is characterized as a disorder of the first and second motor neuron with additional damage in the brain and morphological features observed in this family may contribute to the grouping and subsequent understanding of complicated forms of hereditary spastic paraplegia.
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Primary leptomeningeal lymphoma of the cauda equina: a rare cause of radiculopathy.
Markus Beitzke,Christian Enzinger,Dietrich Beitzke,Daniel Neureiter,Gunther Ladurner,Franz Fazekas +5 more
TL;DR: A 69-year-old immunocompetent man complained about increasing low back pain and moderate weakness of the left leg, which had slowly developed over 1 year, and underwent an extensive laboratory and image work-up to rule out malignant, autoimmune, or infectious disease.
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Measuring Gray Matter and White Matter Damage in MS: Why This is Not Enough
Christian Enzinger,Franz Fazekas +1 more
TL;DR: It is suggested that it is unlikely to ever achieve a satisfactory level of explanation and prediction of an individual patient’s condition-based solely on morphologic information, although such insights might be better suited to define disease progression than clinical assessment.
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Improved perfusion and tracer kinetic imaging using parallel imaging.
Rudolf Stollberger,Franz Fazekas +1 more
TL;DR: The basic principles of kinetic analysis, the contrast mechanisms used and the scan techniques applied are addressed to give a better understanding of the influence of parallel imaging on dynamic contrast enhanced MRI.