Updates

CSF seminar delivered to neurosurgeons in training

Professor Marek Czosnyka and Doctor Zofia Czosnyka recently delivered a training seminar on cerebrospinal fluid (CSF) dynamics. The virtual seminar was delivered to neurosurgical registrars and REVERT project partners. An overview of cerebrospinal fluid dynamics Prof. Czosnyka began the session with an overview of CSF dynamics. He explained that hydrocephalus is far more complex than […]

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Brest University Hospital to begin infusion tests and flow MRI

“Our neurosurgery team at Brest University Hospital are participating in the REVERT project to study intracranial pressure, which supports the diagnosis of hydrocephalus. This is a frequently discussed topic in neurosurgery consultations. We have already been developing a study protocol for the diagnosis of hydrocephalus in partnership with the Neurology Department for several years. This

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Amiens-Picardie University Hospital sets up multimodal diagnostic pathway for NPH

Dr Cyrille Capel (MD, PhD), neurosurgeon and Clinical Lead in France for the REVERT project “Here at the CHU Amiens-Picardie Neurosurgery Department (Prof. Peltier), we have set up a multimodal diagnostic pathway for hydrodynamic pathologies of the central nervous system, and more specifically for idiopathic normal pressure hydrocephalus (NPH). We admit patients to the hospital

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Infusion and MRI flow tests receive favourable Ethics Committee opinion in France

Dr Olivier Balédent, University Hospital of Amiens-Picardie & University of Picardie Jules Verne “This summer, we finally got the news we’ve been waiting for: “The Ethics Committee has given a favourable opinion for conducting the study combining infusion and MRI flow tests in patients with suspected normal pressure hydrocephalus.” In other good news, the REVERT team welcomed

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The University of Artois is using neural networks to identify relevant intracranial pressure and flow features

Dr Olivier Peltre (Post-Doctoral Researcher) and Dr Yaël Frégier (Senior Lecturer) “The team here at the University of Artois are using neural networks to identify relevant features in intracranial pressure (ICP) signals and flow signals (arterial and venous blood flow, and cerebrospinal fluid (CSF) flow). The first step is to collect, anonymise and prepare the

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