Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Alvaro García-Tornel"'
Autor:
Marc Rodrigo-Gisbert, Alvaro García-Tornel, Manuel Requena, Isabel Vielba-Gómez, Saima Bashir, Marta Rubiera, Marta De Dios Lascuevas, Marta Olivé-Gadea, Carlos Piñana, Federica Rizzo, Marian Muchada, Noelia Rodriguez-Villatoro, David Rodríguez-Luna, Jesus Juega, Jorge Pagola, David Hernández, Carlos A. Molina, Mikel Terceño, Alejandro Tomasello, Marc Ribo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The identification of large vessel occlusion with underlying intracranial atherosclerotic disease (ICAS-LVO) before endovascular treatment (EVT) continues to be a challenge. We aimed to analyze baseline clinical-radiological features associa
Externí odkaz:
https://doaj.org/article/354f1828e9f04aa6ada1dbe135979108
Autor:
Jorge Pagola, Jesus Juega, Jaume Francisco-Pascual, Maite Rodriguez, Laura Dorado, Raquel Martinez, Mercedes De Lera-Alfonso, Juan F. Arenillas, Juan Antonio Cabezas, Francisco Moniche, Reyes de Torres, Joan Montaner, Marian Muchada, Sandra Boned, Manuel Requena, Alvaro García-Tornel, Noelia Rodríguez-Villatoro, David Rodríguez-Luna, Matías Deck, Marta Olivé, Marta Rubiera, Marc Ribó, Jose Alvarez-Sabin, Carlos A. Molina
Publikováno v:
Heart and Vessels
r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol
instname
r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol
instname
We aimed to demonstrate the feasibility of 90-day cardiac monitoring with an external Holter device and to find a target population able to benefit from such a technique. Cryptogenic stroke patients were continuously monitored for 90 days with a text
Autor:
Alan Flores, Alvaro García-Tornel, Laia Seró, Xavier Ustrell, Anna Pellise, Gislaine Castilho, Sonia Abilleira, Natalia Perez De La Ossa, Marc Ribo
Publikováno v:
Stroke. 53
Background: Although recommended, impact of vascular imaging performed to determine a large vessel occlusion (LVO) at local stroke centers on functional outcome in the drip and ship model is uncertain. Our aim was to compare functional outcomes in pa
Autor:
Marta Olive-Gadea, Alvaro García- Tornel, Manuel Requena, Marta De Dios Lascuevas, Sandra Boned, Marta Rubiera, Carlos A Molina, alejandro tomasello, David Hernandez, Carlos Piñana, Cristian Marti, Cristina Granés, Alba Garcia, Diaz Facundo, Marc Ribo
Publikováno v:
Stroke. 53
Artificial Intelligence (AI) can assist in vessel occlusion (VO) identification in acute stroke patients. We aim to investigate the impact of using an AI-based software for automated VO detection on non-contrast CT (AI-VO) as compared to CT-Aangiogra
Akademický článek
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Akademický článek
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Autor:
Marta Olive‐Gadea, Marc Rodrigo‐Gisbert, Alvaro Garcia‐Tornel, Salvatore Rudilosso, Alejandro Rodríguez, Antonio Doncel‐Moriano, Mariano Facundo Werner, Arturo Renú, Marian Muchada, Manuel Requena, Federica Rizzo, Natalia Pérez de la Ossa, Sònia Abilleira, Marc Ribo, Xabier Urra
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 4, Iss 3 (2024)
Background The optimal strategy for transferring patients to specialized acute stroke care remains controversial. This substudy of the Effect of Direct Transportation to Thrombectomy‐Capable Center vs Local Stroke Center on Neurological Outcomes in
Externí odkaz:
https://doaj.org/article/27cd372694ca41c49fe6893512d0c7e6
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Autor:
Pere Canals, Manuel Requena, Álvaro García‐Tornel, Marc Molina, Alejandro Tomasello, Jiahui Li, Simone Balocco, Oliver Díaz, Marc Ribó
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 3, Iss S2 (2023)
Introduction Difficult or impossible femoral access remains a significant burden for mechanical thrombectomy (MT) in stroke, affecting between 4.4% (impossible) to ∼10% of cases (time to first angiography [T1A] > 30 min) [1]. Visualization of CT an
Externí odkaz:
https://doaj.org/article/111bb9ad0e2d4d40867cb384c2f6770d
Autor:
Magda Jablonska, João André Sousa, Marc Molina, Pere Canals, Alvaro Garcia‐Tornel, Marc Rodrigo‐Gisbert, Federica Rizzo, Marta Olivé‐Gadea, Manuel Requena, David Rodriguez‐Luna, Noelia Rodriguez‐Villatoro, Jesús M. Juega, Marián Muchada, Jorge Pagola, Marta Rubiera, Alejandro Tomasello, Carlos A. Molina, Leonardo Tanzi, Victor Salvia, Cristian Marti, Marc Ribo
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 3, Iss S2 (2023)
Introduction In stroke patients, accurate infarct volume assessment at 24 hours typically requires manual segmentation of lesions that often are not well defined. We aimed to validate an automated machine learning algorithm (MethinksFIV) specifically
Externí odkaz:
https://doaj.org/article/e29d6ea02a7e490fafc6d62f95e122cb