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Laurèl Rauschenbach

Researcher at University of Duisburg-Essen

Publications -  71
Citations -  491

Laurèl Rauschenbach is an academic researcher from University of Duisburg-Essen. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 8, co-authored 39 publications receiving 218 citations. Previous affiliations of Laurèl Rauschenbach include University of Bonn & German Cancer Research Center.

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Functional impact of multiple bleeding events in patients with conservatively treated spinal cavernous malformations.

TL;DR: In this paper , the functional outcome in spinal cavernous malformation (SCM) patients with single or multiple intramedullary hemorrhagic events was investigated, and the functional status was assessed using the modified McCormick Scale score at diagnosis, before and after each bleeding event, and at the last followup.
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Giant Cavernous Malformation Mimicking an Infiltrative Intracranial Neoplasm in Children - Case Report and Systematic Review of the Literature.

TL;DR: Giant cavernous malformations (GCM) are rare and poorly characterized neurovascular lesions in adults or children and often misclassified as discussed by the authors , which is why the existence of GCM should be considered preoperatively.
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Cerebral Taenia crassiceps larvae infection in a 71-year-old immunocompetent male

TL;DR: In this article , the authors reported a rare case of a cerebral infection with Taenia crassiceps tapeworm larvae in an immunocompetent 71-year-old German male.
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The value of ventricular measurements in the prediction of shunt dependency after aneurysmal subarachnoid hemorrhage

TL;DR: In this paper , the value of ventricle measurements for prediction of the need for shunt placement in chronic hydrocephalus patients was analyzed, and the combined prediction model containing the CHESS score and Huckman's index showed remarkable diagnostic accuracy regarding identification of aneurysmal subarachnoid hemorrhage (SAH) individuals.
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Parkinson’s disease may disrupt overlapping subthalamic nucleus and pallidal motor networks

TL;DR: In this paper , structural covariance maps of overlapping subthalamic and globus pallidus pars interna (GPi) networks were used as correlates of motor network disruption.