Dita Wagnerová
Academy of Sciences of the Czech Republic
12 Papers
48 Citations
Dita Wagnerová is an academic researcher from Academy of Sciences of the Czech Republic. The author has contributed to research in topics: Diffusion MRI & Liver transplantation. The author has an hindex of 7, co-authored 12 publications.
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Papers
Changes in the brain during long-term follow-up after liver transplantation.
TL;DR: To examine changes in the brain before liver transplantation caused by the accumulation of paramagnetic ion deposits and to investigate recovery after liver transplation over a long‐term horizon.
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Quantitative MR imaging and spectroscopy of brain tumours: a step forward?
Dita Wagnerová,Vít Herynek,Alberto Malucelli,Monika Dezortova,Josef Vymazal,Dušan Urgošík,Martin Syrucek,Filip Jiru,Antonin Skoch,Robert Bartoš,Martin Sameš,Milan Hájek +11 more
TL;DR: A combination of different MR parameters on a pixel-by-pixel basis in individual patients enables better identification of the tumour type, direction of proliferation and assessment of the malignant tumour extension.
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The correlation between 1H MRS choline concentrations and MR diffusion trace values in human brain tumors.
TL;DR: The analysis of the correlation between Cho concentrations and TrADC values on a pixel-by-pixel basis should help the regional identification of the pathological state of a tissue in patients with a glioblastoma.
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Alterations in the basal ganglia in patients with brain tumours may be due to excessive iron deposition
TL;DR: It is proposed that increased iron deposition is a consequence of a higher risk of oxidative stress caused by an increased iron concentration in the plasma or cerebrospinal fluid.
The relationships between quantitative MR parameters in hippocampus in healthy subjects and patients with temporal lobe epilepsy.
Dita Wagnerová,Vít Herynek,Monika Dezortova,Petr Marusic,P. Kršek,J. Zámečník,F. Jírů,Antonin Skoch,Milan Hájek +8 more
TL;DR: Quantitative MR analysis non-invasively provides a detailed description of hippocampal pathology and may represent complementary tool to the standard clinical protocol, however, the automated processing should be carefully monitored in order to avoid possible errors caused by MR artifacts.
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