Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ludger Feyen"'
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 54, Iss 1, Pp 1-8 (2023)
Abstract Background Various endovascular techniques for the recanalization of large vessel occlusion in patients with acute ischemic stroke have been established. In this series a combined distal and proximal aspiration technique was used as a novel
Externí odkaz:
https://doaj.org/article/3a70105cf7994b3c810b8d7e2002a5a1
Publikováno v:
Neurology International, Vol 15, Iss 1, Pp 405-414 (2023)
Background: Intravenous immunoglobulin (IVIg) is efficient and one of very few treatment options for patients with chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). However, finding the optimal dose of IVIg for individual CIDP patient
Externí odkaz:
https://doaj.org/article/3db6808aa6944b53b17c2382b864b0d0
Autor:
Ludger Feyen, Patrick Haage, Patrick Freyhardt, Peter Schott, Marcus Katoh, Christian Blockhaus, Katharina Melber
Publikováno v:
Journal of the Belgian Society of Radiology, Vol 106, Iss 1 (2022)
Purpose: To evaluate the detection rate of intracranial aneurysms on reconstructed thin slice non enhanced CT (NECT) scans. Methods: NECT scans from 34 patients with 35 aneurysms and 35 individuals without aneurysms were collected. Thin slice maximum
Externí odkaz:
https://doaj.org/article/d20afeab28c54e74bb91f7a80c6f80f8
Autor:
Christian Blockhaus, Jan-Erik Guelker, Ludger Feyen, Alexander Bufe, Melchior Seyfarth, Dong-In Shin
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 9, Iss 6, p 175 (2022)
Background: Wearable cardioverter-defibrillators (WCDs) are a well-established tool to bridge the recovery time of left ventricular ejection fraction (LVEF) until the implantation of an implantable cardioverter defibrillator (ICD), as recommended by
Externí odkaz:
https://doaj.org/article/b56d4cf1988c4bbdaecec528f5bde626
Autor:
Ludger Feyen, Peter Minko, Nina Franke, Martin Völker, Patrick Haage, Philipp Paprottka, Jonathan Nadjiri, Marcus Katoh
Publikováno v:
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 195:514-520
Purpose To test the feasibility of an online, simulator-based comprehensive interventional radiology (IR) training curriculum in times of COVID-19-induced travel restrictions. Materials and Methods A network of six VIST simulators (Mentice, Gothenbur
Autor:
Ludger Feyen, Marcus Katoh, Patrick Haage, Nico Münnich, Martin Weinzierl, Christian Blockhaus, Stefan Rohde, Helge C. Kniep
Publikováno v:
Clinical Neuroradiology.
Purpose Whether patients presenting with mild stroke (NIHSS at admission Methods A total of 761 patients with mild stroke enrolled between 1 January 2020 and 31 December 2020 in the Quality Registry of the German Society for Neuroradiology were analy
Publikováno v:
Neuroradiol J
Purpose Clinical outcomes vary considerably among individuals with vessel occlusion of the posterior circulation. In the present study we evaluated machine learning algorithms in their ability to discriminate between favourable and unfavourable outco
Autor:
Ludger Feyen, Helge Kniep, Christian Blockhaus, Martin Weinzierl, Marcus Katoh, Patrick Haage, Stefan Rohde, Nico Münnich
Publikováno v:
Journal of Stroke and Cerebrovascular Diseases. 32:107104
Autor:
Christian Blockhaus, Jan-Erik Guelker, Ludger Feyen, Alexander Bufe, Melchior Seyfarth, Dong-In Shin
Publikováno v:
Journal of Interventional Cardiac Electrophysiology.
Pulsed field ablation (PFA) is a new, non-thermal technology in the treatment of atrial fibrillation (AF). Early investigations have shown a promising safety profile with durable pulmonary vein isolation (PVI) and large antral lesions. However, clini
Autor:
Ludger Feyen, Stefan Rohde, Martin weinzierl, Marcus Katoh, Patrick Haage, Nico Münnich, Helge Kniep
Publikováno v:
Interventional Neuroradiology. :159101992311681
Purpose Various studies have identified prognostic factors for a favorable outcome of endovascular treatment in posterior circulation. We evaluated various machine learning algorithms in their ability to classify between patients with favorable (defi