Search

Your search keyword '"Bracard, S"' showing total 753 results
Start Over Author "Bracard, S"
753 results on '"Bracard, S"'

3. Penumbral imaging and functional outcome in patients with anterior circulation ischaemic stroke treated with endovascular thrombectomy versus medical therapy: a meta-analysis of individual patient-level data

Author

Berkhemer, Olvert A, Fransen, Puck SS, Beumer, Debbie, van den Berg, Lucie A, Lingsma, Hester F, Yoo, Albert J, Schonewille, Wouter J, Vos, Jan Albert, Nederkoorn, Paul J, Wermer, Marieke JH, van Walderveen, Marianne AA, Staals, Julie, Hofmeijer, Jeannette, van Oostayen, Jacques A., Lycklama à Nijeholt, Geert J., Boiten, Jelis, Brouwer, Patrick A., Emmer, Bart J., de Bruijn, Sebastiaan F., van Dijk, Lukas C., Kappelle, Jaap, Lo, Rob H, van Dijk, Ewoud J., de Vries, Joost, de Kort, Paul L.M., van Rooij, Willem Jan J., van den Berg, Jan S.P., van Hasselt, Boudewijn A.A.M., Aerden, Leo A.M., Dallinga, René J., Visser, Marieke C., Bot, Joseph C.J., Vroomen, Patrick C., Eshghi, Omid, Schreuder, Tobien H.C.M.L., Heijboer, Roel J.J., Keizer, Koos, Tielbeek, Alexander V., den Hertog, Heleen M., Gerrits, Dick G., van den Berg-Vos, Renske M., Karas, Giorgos B., Steyerberg, Ewout W., Flach, Zwenneke, Marquering, Henk A., Sprengers, Marieke E.S., Jenniskens, Sjoerd F.M., Beenen, Ludo F.M., van den Berg, René, Koudstaal, Peter J., van Zwam, Wim H., Roos, Yvo B.W.E.M., van der Lugt, Aad, van Oostenbrugge, Robert J., Majoie, Charles B.L.M., Dippel, Diederik W.J., Brown, Martin M., Liebig, Thomas, Stijnen, Theo, Andersson, Tommy, Mattle, Heinrich, Wahlgren, Nils, van der Heijden, Esther, Ghannouti, Naziha, Fleitour, Nadine, Hooijenga, Imke, Puppels, Corina, Pellikaan, Wilma, Geerling, Annet, Lindl-Velema, Annemieke, van Vemde, Gina, de Ridder, Ans, Greebe, Paut, de Bont-Stikkelbroeck, José, de Meris, Joke, Janssen, Kirsten, Struijk, Willy, Licher, Silvan, Boodt, Nikki, Ros, Adriaan, Venema, Esmee, Slokkers, Ilse, Ganpat, Raymie-Jayce, Mulder, Maxim, Saiedie, Nawid, Heshmatollah, Alis, Schipperen, Stefanie, Vinken, Stefan, van Boxtel, Tiemen, Koets, Jeroen, Boers, Merel, Santos, Emilie, Borst, Jordi, Jansen, Ivo, Kappelhof, Manon, Lucas, Marit, Geuskens, Ralph, Barros, Renan Sales, Dobbe, Roeland, Csizmadia, Marloes, Hill, MD, Goyal, M, Demchuk, AM, Menon, BK, Eesa, M, Ryckborst, KJ, Wright, MR, Kamal, NR, Andersen, L, Randhawa, PA, Stewart, T, Patil, S, Minhas, P, Almekhlafi, M, Mishra, S, Clement, F, Sajobi, T, Shuaib, A, Montanera, WJ, Roy, D, Silver, FL, Jovin, TG, Frei, DF, Sapkota, B, Rempel, JL, Thornton, J, Williams, D, Tampieri, D, Poppe, AY, Dowlatshahi, D, Wong, JH, Mitha, AP, Subramaniam, S, Hull, G, Lowerison, MW, Salluzzi, M, Maxwell, M, Lacusta, S, Drupals, E, Armitage, K, Barber, PA, Smith, EE, Morrish, WF, Coutts, SB, Derdeyn, C, Demaerschalk, B, Yavagal, D, Martin, R, Brant, R, Yu, Y, Willinsky, RA, Weill, A, Kenney, C, Aram, H, Stys, PK, Watson, TW, Klein, G, Pearson, D, Couillard, P, Trivedi, A, Singh, D, Klourfeld, E, Imoukhuede, O, Nikneshan, D, Blayney, S, Reddy, R, Choi, P, Horton, M, Musuka, T, Dubuc, V, Field, TS, Desai, J, Adatia, S, Alseraya, A, Nambiar, V, van Dijk, R, Newcommon, NJ, Schwindt, B, Butcher, KS, Jeerakathil, T, Buck, B, Khan, K, Naik, SS, Emery, DJ, Owen, RJ, Kotylak, TB, Ashforth, RA, Yeo, TA, McNally, D, Siddiqui, M, Saqqur, M, Hussain, D, Kalashyan, H, Manosalva, A, Kate, M, Gioia, L, Hasan, S, Mohammad, A, Muratoglu, M, Cullen, A, Brennan, P, O'Hare, A, Looby, S, Hyland, D, Duff, S, McCusker, M, Hallinan, B, Lee, S, McCormack, J, Moore, A, O'Connor, M, Donegan, C, Brewer, L, Martin, A, Murphy, S, O'Rourke, K, Smyth, S, Kelly, P, Lynch, T, Daly, T, O'Brien, P, O'Driscoll, A, Martin, M, Collins, R, Coughlan, T, McCabe, D, O'Neill, D, Mulroy, M, Lynch, O, Walsh, T, O'Donnell, M, Galvin, T, Harbison, J, McElwaine, P, Mulpeter, K, McLoughlin, C, Reardon, M, Harkin, E, Dolan, E, Watts, M, Cunningham, N, Fallon, C, Gallagher, S, Cotter, P, Crowe, M, Doyle, R, Noone, I, Lapierre, M, Coté, VA, Lanthier, S, Odier, C, Durocher, A, Raymond, J, Daneault, N, Deschaintre, Y, Jankowitz, B, Baxendell, L, Massaro, L, Jackson-Graves, C, Decesare, S, Porter, P, Armbruster, K, Adams, A, Billigan, J, Oakley, J, Ducruet, A, Jadhav, A, Giurgiutiu, D-V, Aghaebrahim, A, Reddy, V, Hammer, M, Starr, M, Totoraitis, V, Wechsler, L, Streib, S, Rangaraju, S, Campbell, D, Rocha, M, Gulati, D, Krings, T, Kalman, L, Cayley, A, Williams, J, Wiegner, R, Casaubon, LK, Jaigobin, C, del Campo, JM, Elamin, E, Schaafsma, JD, Agid, R, Farb, R, ter Brugge, K, Sapkoda, BL, Baxter, BW, Barton, K, Knox, A, Porter, A, Sirelkhatim, A, Devlin, T, Dellinger, C, Pitiyanuvath, N, Patterson, J, Nichols, J, Quarfordt, S, Calvert, J, Hawk, H, Fanale, C, Bitner, A, Novak, A, Huddle, D, Bellon, R, Loy, D, Wagner, J, Chang, I, Lampe, E, Spencer, B, Pratt, R, Bartt, R, Shine, S, Dooley, G, Nguyen, T, Whaley, M, McCarthy, K, Teitelbaum, J, Poon, W, Campbell, N, Cortes, M, Lum, C, Shamloul, R, Robert, S, Stotts, G, Shamy, M, Steffenhagen, N, Blacquiere, D, Hogan, M, AlHazzaa, M, Basir, G, Lesiuk, H, Iancu, D, Santos, M, Choe, H, Weisman, DC, Jonczak, K, Blue-Schaller, A, Shah, Q, MacKenzie, L, Klein, B, Kulandaivel, K, Kozak, O, Gzesh, DJ, Harris, LJ, Khoury, JS, Mandzia, J, Pelz, D, Crann, S, Fleming, L, Hesser, K, Beauchamp, B, Amato-Marzialli, B, Boulton, M, Lopez- Ojeda, P, Sharma, M, Lownie, S, Chan, R, Swartz, R, Howard, P, Golob, D, Gladstone, D, Boyle, K, Boulos, M, Hopyan, J, Yang, V, Da Costa, L, Holmstedt, CA, Turk, AS, Navarro, R, Jauch, E, Ozark, S, Turner, R, Phillips, S, Shankar, J, Jarrett, J, Gubitz, G, Maloney, W, Vandorpe, R, Schmidt, M, Heidenreich, J, Hunter, G, Kelly, M, Whelan, R, Peeling, L, Burns, PA, Hunter, A, Wiggam, I, Kerr, E, Watt, M, Fulton, A, Gordon, P, Rennie, I, Flynn, P, Smyth, G, O'Leary, S, Gentile, N, Linares, G, McNelis, P, Erkmen, K, Katz, P, Azizi, A, Weaver, M, Jungreis, C, Faro, S, Shah, P, Reimer, H, Kalugdan, V, Saposnik, G, Bharatha, A, Li, Y, Kostyrko, P, Marotta, T, Montanera, W, Sarma, D, Selchen, D, Spears, J, Heo, JH, Jeong, K, Kim, DJ, Kim, BM, Kim, YD, Song, D, Lee, K-J, Yoo, J, Bang, OY, Rho, S, Lee, J, Jeon, P, Kim, KH, Cha, J, Kim, SJ, Ryoo, S, Lee, MJ, Sohn, S-I, Kim, C-H, Ryu, H-G, Hong, J-H, Chang, H-W, Lee, C-Y, Rha, J, Davis, Stephen M, Donnan, Geoffrey A, Campbell, Bruce CV, Mitchell, Peter J, Churilov, Leonid, Yan, Bernard, Dowling, Richard, Yassi, Nawaf, Oxley, Thomas J, Wu, Teddy Y, Silver, Gabriel, McDonald, Amy, McCoy, Rachael, Kleinig, Timothy J, Scroop, Rebecca, Dewey, Helen M, Simpson, Marion, Brooks, Mark, Coulton, Bronwyn, Krause, Martin, Harrington, Timothy J, Steinfort, Brendan, Faulder, Kenneth, Priglinger, Miriam, Day, Susan, Phan, Thanh, Chong, Winston, Holt, Michael, Chandra, Ronil V, Ma, Henry, Young, Dennis, Wong, Kitty, Wijeratne, Tissa, Tu, Hans, Mackay, Elizabeth, Celestino, Sherisse, Bladin, Christopher F, Loh, Poh Sien, Gilligan, Amanda, Ross, Zofia, Coote, Skye, Frost, Tanya, Parsons, Mark W, Miteff, Ferdinand, Levi, Christopher R, Ang, Timothy, Spratt, Neil, Kaauwai, Lara, Badve, Monica, Rice, Henry, de Villiers, Laetitia, Barber, P. Alan, McGuinness, Ben, Hope, Ayton, Moriarty, Maurice, Bennett, Patricia, Wong, Andrew, Coulthard, Alan, Lee, Andrew, Jannes, Jim, Field, Deborah, Sharma, Gagan, Salinas, Simon, Cowley, Elise, Snow, Barry, Kolbe, John, Stark, Richard, King, John, Macdonnell, Richard, Attia, John, D'Este, Cate, Saver, Jeffrey L, Goyal, Mayank, Diener, Hans-Christoph, Levy, Elad I., Bonafé, Alain, Mendes Pereira, Vitor, Jahan, Reza, Albers, Gregory W., Cognard, Christophe, Cohen, David J., Hacke, Werner, Jansen, Olav, Jovin, Tudor G., Mattle, Heinrich P., Nogueira, Raul G., Siddiqui, Adnan H., Yavagal, Dileep R., von Kummer, Rüdiger, Smith, Wade, Turjman, Francis, Hamilton, Scott, Chiacchierini, Richard, Amar, Arun, Sanossian, Nerses, Loh, Yince, Baxter, B, Reddy, VK, Horev, A, Star, M, Siddiqui, A, Hopkins, LN, Snyder, K, Sawyer, R, Hall, S, Costalat, V, Riquelme, C, Machi, P, Omer, E, Arquizan, C, Mourand, I, Charif, M, Ayrignac, X, Menjot de Champfleur, N, Leboucq, N, Gascou, G, Moynier, M, du Mesnil de Rochemont, R, Singer, O, Berkefeld, J, Foerch, C, Lorenz, M, Pfeilschifer, W, Hattingen, E, Wagner, M, You, SJ, Lescher, S, Braun, H, Dehkharghani, S, Belagaje, SR, Anderson, A, Lima, A, Obideen, M, Haussen, D, Dharia, R, Frankel, M, Patel, V, Owada, K, Saad, A, Amerson, L, Horn, C, Doppelheuer, S, Schindler, K, Lopes, DK, Chen, M, Moftakhar, R, Anton, C, Smreczak, M, Carpenter, JS, Boo, S, Rai, A, Roberts, T, Tarabishy, A, Gutmann, L, Brooks, C, Brick, J, Domico, J, Reimann, G, Hinrichs, K, Becker, M, Heiss, E, Selle, C, Witteler, A, Al-Boutros, S, Danch, M-J, Ranft, A, Rohde, S, Burg, K, Weimar, C, Zegarac, V, Hartmann, C, Schlamann, M, Göricke, S, Ringlestein, A, Wanke, I, Mönninghoff, C, Dietzold, M, Budzik, R, Davis, T, Eubank, G, Hicks, WJ, Pema, P, Vora, N, Mejilla, J, Taylor, M, Clark, W, Rontal, A, Fields, J, Peterson, B, Nesbit, G, Lutsep, H, Bozorgchami, H, Priest, R, Ologuntoye, O, Barnwell, S, Dogan, A, Herrick, K, Takahasi, C, Beadell, N, Brown, B, Jamieson, S, Hussain, MS, Russman, A, Hui, F, Wisco, D, Uchino, K, Khawaja, Z, Katzan, I, Toth, G, Cheng-Ching, E, Bain, M, Man, S, Farrag, A, George, P, John, S, Shankar, L, Drofa, A, Dahlgren, R, Bauer, A, Itreat, A, Taqui, A, Cerejo, R, Richmond, A, Ringleb, P, Bendszus, M, Möhlenbruch, M, Reiff, T, Amiri, H, Purrucker, J, Herweh, C, Pham, M, Menn, O, Ludwig, I, Acosta, I, Villar, C, Morgan, W, Sombutmai, C, Hellinger, F, Allen, E, Bellew, M, Gandhi, R, Bonwit, E, Aly, J, Ecker, RD, Seder, D, Morris, J, Skaletsky, M, Belden, J, Baker, C, Connolly, LS, Papanagiotou, P, Roth, C, Kastrup, A, Politi, M, Brunner, F, Alexandrou, M, Merdivan, H, Ramsey, C, Given II, C, Renfrow, S, Deshmukh, V, Sasadeusz, K, Vincent, F, Thiesing, JT, Putnam, J, Bhatt, A, Kansara, A, Caceves, D, Lowenkopf, T, Yanase, L, Zurasky, J, Dancer, S, Freeman, B, Scheibe-Mirek, T, Robison, J, Roll, J, Clark, D, Rodriguez, M, Fitzsimmons, B-FM, Zaidat, O, Lynch, JR, Lazzaro, M, Larson, T, Padmore, L, Das, E, Farrow-Schmidt, A, Hassan, A, Tekle, W, Cate, C, Jansen, O, Cnyrim, C, Wodarg, F, Wiese, C, Binder, A, Riedel, C, Rohr, A, Lang, N, Laufs, H, Krieter, S, Remonda, L, Diepers, M, Añon, J, Nedeltchev, K, Kahles, T, Biethahn, S, Lindner, M, Chang, V, Gächter, C, Esperon, C, Guglielmetti, M, Arenillas Lara, JF, Martínez Galdámez, M, Calleja Sanz, AI, Cortijo Garcia, E, Garcia Bermejo, P, Perez, S, Mulero Carrillo, P, Crespo Vallejo, E, Ruiz Piñero, M, Lopez Mesonero, L, Reyes Muñoz, FJ, Brekenfeld, C, Buhk, J-H, Krützelmann, A, Thomalla, G, Cheng, B, Beck, C, Hoppe, J, Goebell, E, Holst, B, Grzyska, U, Wortmann, G, Starkman, S, Duckwiler, G, Jahan, R, Rao, N, Sheth, S, Ng, K, Noorian, A, Szeder, V, Nour, M, McManus, M, Huang, J, Tarpley, J, Tateshima, S, Gonzalez, N, Ali, L, Liebeskind, D, Hinman, J, Calderon-Arnulphi, M, Liang, C, Guzy, J, Koch, S, DeSousa, K, Gordon-Perue, G, Elhammady, M, Peterson, E, Pandey, V, Dharmadhikari, S, Khandelwal, P, Malik, A, Pafford, R, Gonzalez, P, Ramdas, K, Andersen, G, Damgaard, D, Von Weitzel-Mudersbach, P, Simonsen, C, Ruiz de Morales Ayudarte, N, Poulsen, M, Sørensen, L, Karabegovich, S, Hjørringgaard, M, Hjort, N, Harbo, T, Sørensen, K, Deshaies, E, Padalino, D, Swarnkar, A, Latorre, JG, Elnour, E, El-Zammar, Z, Villwock, M, Farid, H, Balgude, A, Cross, L, Hansen, K, Holtmannspötter, M, Kondziella, D, Hoejgaard, J, Taudorf, S, Soendergaard, H, Wagner, A, Cronquist, M, Stavngaard, T, Cortsen, M, Krarup, LH, Hyldal, T, Haring, H-P, Guggenberger, S, Hamberger, M, Trenkler, J, Sonnberger, M, Nussbaumer, K, Dominger, C, Bach, E, Jagadeesan, BD, Taylor, R, Kim, J, Shea, K, Tummala, R, Zacharatos, H, Sandhu, D, Ezzeddine, M, Grande, A, Hildebrandt, D, Miller, K, Scherber, J, Hendrickson, A, Jumaa, M, Zaidi, S, Hendrickson, T, Snyder, V, Killer-Oberpfalzer, M, Mutzenbach, J, Weymayr, F, Broussalis, E, Stadler, K, Jedlitschka, A, Malek, A, Mueller-Kronast, N, Beck, P, Martin, C, Summers, D, Day, J, Bettinger, I, Holloway, W, Olds, K, Arkin, S, Akhtar, N, Boutwell, C, Crandall, S, Schwartzman, M, Weinstein, C, Brion, B, Prothmann, S, Kleine, J, Kreiser, K, Boeckh-Behrens, T, Poppert, H, Wunderlich, S, Koch, ML, Biberacher, V, Huberle, A, Gora-Stahlberg, G, Knier, B, Meindl, T, Utpadel-Fischler, D, Zech, M, Kowarik, M, Seifert, C, Schwaiger, B, Puri, A, Hou, S, Wakhloo, A, Moonis, M, Henninger, N, Goddeau, R, Massari, F, Minaeian, A, Lozano, JD, Ramzan, M, Stout, C, Patel, A, Tunguturi, A, Onteddu, S, Carandang, R, Howk, M, Ribó, M, Sanjuan, E, Rubiera, M, Pagola, J, Flores, A, Muchada, M, Meler, P, Huerga, E, Gelabert, S, Coscojuela, P, Tomasello, A, Rodriguez, D, Santamarina, E, Maisterra, O, Boned, S, Seró, L, Rovira, A, Molina, CA, Millán, M, Muñoz, L, Pérez de la Ossa, N, Gomis, M, Dorado, L, López-Cancio, E, Palomeras, E, Munuera, J, García Bermejo, P, Remollo, S, Castaño, C, García-Sort, R, Cuadras, P, Puyalto, P, Hernández-Pérez, M, Jiménez, M, Martínez-Piñeiro, A, Lucente, G, Dávalos, A, Chamorro, A, Urra, X, Obach, V, Cervera, A, Amaro, S, Llull, L, Codas, J, Balasa, M, Navarro, J, Ariño, H, Aceituno, A, Rudilosso, S, Renu, A, Macho, JM, San Roman, L, Blasco, J, López, A, Macías, N, Cardona, P, Quesada, H, Rubio, F, Cano, L, Lara, B, de Miquel, MA, Aja, L, Serena, J, Cobo, E, Albers, Gregory W, Lees, Kennedy R, Arenillas, J, Roberts, R, Al-Ajlan, F, Zimmel, L, Patel, S, Martí-Fàbregas, J, Salvat-Plana, M, Bracard, S, Ducrocq, Xavier, Anxionnat, René, Baillot, Pierre-Alexandre, Barbier, Charlotte, Derelle, Anne-Laure, Lacour, Jean-Christophe, Richard, Sébastien, Samson, Yves, Sourour, Nader, Baronnet-Chauvet, Flore, Clarencon, Frédéric, Crozier, Sophie, Deltour, Sandrine, Di Maria, Federico, Le Bouc, Raphael, Leger, Anne, Mutlu, Gurkan, Rosso, Charlotte, Szatmary, Zoltan, Yger, Marion, Zavanone, Chiara, Bakchine, Serge, Pierot, Laurent, Caucheteux, Nathalie, Estrade, Laurent, Kadziolka, Krzysztof, Leautaud, Alexandre, Renkes, Céline, Serre, Isabelle, Desal, Hubert, Guillon, Benoît, Boutoleau-Bretonniere, Claire, Daumas-Duport, Benjamin, De Gaalon, Solène, Derkinderen, Pascal, Evain, Sarah, Herisson, Fanny, Laplaud, David-Axel, Lebouvier, Thibaud, Lintia-Gaultier, Alina, Pouclet-Courtemanche, Hélène, Rouaud, Tiphaine, Rouaud Jaffrenou, Violaine, Schunck, Aurélia, Sevin-Allouet, Mathieu, Toulgoat, Frederique, Wiertlewski, Sandrine, Gauvrit, Jean-Yves, Ronziere, Thomas, Cahagne, Vincent, Ferre, Jean-Christophe, Pinel, Jean-François, Raoult, Hélène, Mas, Jean-Louis, Meder, Jean-François, Al Najjar-Carpentier, Amen-Adam, Birchenall, Julia, Bodiguel, Eric, Calvet, David, Domigo, Valérie, Godon-Hardy, Sylvie, Guiraud, Vincent, Lamy, Catherine, Majhadi, Loubna, Morin, Ludovic, Naggara, Olivier, Trystram, Denis, Turc, Guillaume, Berge, Jérôme, Sibon, Igor, Menegon, Patrice, Barreau, Xavier, Rouanet, François, Debruxelles, Sabrina, Kazadi, Annabelle, Renou, Pauline, Fleury, Olivier, Pasco-Papon, Anne, Dubas, Frédéric, Caroff, Jildaz, Godard Ducceschi, Sophie, Hamon, Marie-Aurélie, Lecluse, Alderic, Marc, Guillaume, Giroud, Maurice, Ricolfi, Frédéric, Bejot, Yannick, Chavent, Adrien, Gentil, Arnaud, Kazemi, Apolline, Osseby, Guy-Victor, Voguet, Charlotte, Mahagne, Marie-Hélène, Sedat, Jacques, Chau, Yves, Suissa, Laurent, Lachaud, Sylvain, Houdart, Emmanuel, Stapf, Christian, Buffon Porcher, Frédérique, Chabriat, Hugues, Guedin, Pierre, Herve, Dominique, Jouvent, Eric, Mawet, Jérôme, Saint-Maurice, Jean-Pierre, Schneble, Hans-Martin, Nighoghossian, Norbert, Berhoune, Nadia-Nawel, Bouhour, Françoise, Cho, Tae-Hee, Derex, Laurent, Felix, Sandra, Gervais-Bernard, Hélène, Gory, Benjamin, Manera, Luis, Mechtouff, Laura, Ritzenthaler, Thomas, Riva, Roberto, Salaris Silvio, Fabrizio, Tilikete, Caroline, Blanc, Raphael, Obadia, Michaël, Bartolini, Mario Bruno, Gueguen, Antoine, Piotin, Michel, Pistocchi, Silvia, Redjem, Hocine, Drouineau, Jacques, Neau, Jean-Philippe, Godeneche, Gaelle, Lamy, Matthias, Marsac, Emilia, Velasco, Stephane, Clavelou, Pierre, Chabert, Emmanuel, Bourgois, Nathalie, Cornut-Chauvinc, Catherine, Ferrier, Anna, Gabrillargues, Jean, Jean, Betty, Marques, Anna-Raquel, Vitello, Nicolas, Detante, Olivier, Barbieux, Marianne, Boubagra, Kamel, Favre Wiki, Isabelle, Garambois, Katia, Tahon, Florence, Ashok, Vasdev, Coskun, Oguzhan, Rodesch, Georges, Lapergue, Bertrand, Bourdain, Frédéric, Evrard, Serge, Graveleau, Philippe, Decroix, Jean Pierre, Wang, Adrien, Sellal, François, Ahle, Guido, Carelli, Gabriela, Dugay, Marie-Hélène, Gaultier, Claude, Lebedinsky, Ariel Pablo, Lita, Lavinia, Musacchio, Raul Mariano, Renglewicz-Destuynder, Catherine, Tournade, Alain, Vuillemet, Françis, Montoro, Francisco Macian, Mounayer, Charbel, Faugeras, Frederic, Gimenez, Laetitia, Labach, Catherine, Lautrette, Géraldine, Denier, Christian, Saliou, Guillaume, Chassin, Olivier, Dussaule, Claire, Melki, Elsa, Ozanne, Augustin, Puccinelli, Francesco, Sachet, Marina, Sarov, Mariana, Bonneville, Jean-François, Moulin, Thierry, Biondi, Alessandra, De Bustos Medeiros, Elisabeth, Vuillier, Fabrice, Courtheoux, Patrick, Viader, Fausto, Apoil-Brissard, Marion, Bataille, Mathieu, Bonnet, Anne-Laure, Cogez, Julien, Touze, Emmanuel, Leclerc, Xavier, Leys, Didier, Aggour, Mohamed, Aguettaz, Pierre, Bodenant, Marie, Cordonnier, Charlotte, Deplanque, Dominique, Girot, Marie, Henon, Hilde, Kalsoum, Erwah, Lucas, Christian, Pruvo, Jean-Pierre, Zuniga, Paolo, Arquizan, Caroline, Costalat, Vincent, Machi, Paolo, Mourand, Isabelle, Riquelme, Carlos, Bounolleau, Pierre, Arteaga, Charles, Faivre, Anthony, Bintner, Marc, Tournebize, Patrice, Charlin, Cyril, Darcel, Françoise, Gauthier-Lasalarie, Pascale, Jeremenko, Marcia, Mouton, Servane, Zerlauth, Jean-Baptiste, Lamy, Chantal, Hervé, Deramond, Hassan, Hosseini, Gaston, André, Barral, Francis-Guy, Garnier, Pierre, Beaujeux, Rémy, Wolff, Valérie, Herbreteau, Denis, Debiais, Séverine, Murray, Alicia, Ford, Gary, Muir, Keith W, White, Philip, Clifton, Andy, Freeman, Janet, Ford, Ian, Markus, Hugh, Wardlaw, Joanna, Molyneux, Andy, Robinson, Thompson, Lewis, Steff, Norrie, John, Robertson, Fergus, Perry, Richard, Dixit, Anand, Cloud, Geoffrey, Clifton, Andrew, Madigan, Jeremy, Roffe, Christine, Nayak, Sanjeev, Lobotesis, Kyriakos, Smith, Craig, Herwadkar, Amit, Kandasamy, Naga, Goddard, Tony, Bamford, John, Subramanian, Ganesh, Lenthall, Rob, Littleton, Edward, Lamin, Sal, Storey, Kelley, Ghatala, Rita, Banaras, Azra, Aeron-Thomas, John, Hazel, Bath, Maguire, Holly, Veraque, Emelda, Harrison, Louise, Keshvara, Rekha, Cunningham, James, Campbell, Bruce C V, Majoie, Charles B L M, Menon, Bijoy K, van Zwam, Wim H, van Oostenbrugge, Robert J, Demchuk, Andrew M, Guillemin, Francis, Dávalos, Antoni, Butcher, Kenneth S, Cherifi, Aboubaker, Marquering, Henk A, Macho Fernández, Juan M, Oppenheim, Catherine, Roos, Yvo B W E M, Shankar, Jai, Lingsma, Hester, Hernández-Pérez, María, Bharatha, Aditya, Levy, Elad I, Soudant, Marc, Aja, Lucia, Krings, Timo, Tisserand, Marie, San Román, Luis, Tomasello, Alejandro, Brown, Scott, Liebeskind, David S, Bracard, Serge, Dippel, Diederik W J, Jovin, Tudor G, and Hill, Michael D

Published
2019
Full Text
View/download PDF

4. A randomized controlled study assessing outcome, cognition, autonomy and quality of life in over 70-year-old patients after aneurysmal subarachnoid hemorrhage

Author

Proust, F., Bracard, S., Lejeune, J.-P., Thines, L., Leclerc, X., Penchet, G., Bergé, J., Morandi, X., Gauvrit, J.-Y., Mourier, K., Ricolfi, F., Lonjon, M., Sedat, J., Bataille, B., Droineau, J., Civit, T., Magro, E., Pelissou-Guyotat, I., Cebula, H., Lallouche, K., David, P., Emery, E., Courthéoux, P., Vignes, J.-R., Bénichou, J., Aghakani, N., Roche, P.-H., Gay, E., Bessou, P., Guabrillargues, J., and Irthum, B.

Published
2018
Full Text
View/download PDF

5. Imaging features and safety and efficacy of endovascular stroke treatment: a meta-analysis of individual patient-level data

Author

Berkhemer, Olvert A, Fransen, Puck SS, Beumer, Debbie, van den Berg, Lucie A, Lingsma, Hester F, Yoo, Albert J, Schonewille, Wouter J, Vos, Jan Albert, Nederkoorn, Paul J, Wermer, Marieke JH, van Walderveen, Marianne AA, Staals, Julie, Hofmeijer, Jeannette, van Oostayen, Jacques A., Lycklama à Nijeholt, Geert J., Boiten, Jelis, Brouwer, Patrick A., Emmer, Bart J., de Bruijn, Sebastiaan F., van Dijk, Lukas C., Kappelle, Jaap, Lo, Rob H, van Dijk, Ewoud J., de Vries, Joost, de Kort, Paul L.M., van Rooij, Willem Jan J., van den Berg, Jan S.P., van Hasselt, Boudewijn A.A.M., Aerden, Leo A.M., Dallinga, René J., Visser, Marieke C., Bot, Joseph C.J., Vroomen, Patrick C., Eshghi, Omid, Schreuder, Tobien H.C.M.L., Heijboer, Roel J.J., Keizer, Koos, Tielbeek, Alexander V., den Hertog, Heleen M., Gerrits, Dick G., van den Berg-Vos, Renske M., Karas, Giorgos B., Steyerberg, Ewout W., Flach, Zwenneke, Marquering, Henk A., Sprengers, Marieke E.S., Jenniskens, Sjoerd F.M., Beenen, Ludo F.M., van den Berg, René, Koudstaal, Peter J., van Zwam, Wim H., Roos, Yvo B.W.E.M., van der Lugt, Aad, van Oostenbrugge, Robert J., Majoie, Charles B.L.M., Dippel, Diederik W.J., Brown, Martin M., Liebig, Thomas, Stijnen, Theo, Andersson, Tommy, Mattle, Heinrich, Wahlgren, Nils, van der Heijden, Esther, Ghannouti, Naziha, Fleitour, Nadine, Hooijenga, Imke, Puppels, Corina, Pellikaan, Wilma, Geerling, Annet, Lindl-Velema, Annemieke, van Vemde, Gina, de Ridder, Ans, Greebe, Paut, de Bont-Stikkelbroeck, José, de Meris, Joke, Janssen, Kirsten, Struijk, Willy, Licher, Silvan, Boodt, Nikki, Ros, Adriaan, Venema, Esmee, Slokkers, Ilse, Ganpat, Raymie-Jayce, Mulder, Maxim, Saiedie, Nawid, Heshmatollah, Alis, Schipperen, Stefanie, Vinken, Stefan, van Boxtel, Tiemen, Koets, Jeroen, Boers, Merel, Santos, Emilie, Borst, Jordi, Jansen, Ivo, Kappelhof, Manon, Lucas, Marit, Geuskens, Ralph, Barros, Renan Sales, Dobbe, Roeland, Csizmadia, Marloes, Hill, MD, Goyal, M, Demchuk, AM, Menon, BK, Eesa, M, Ryckborst, KJ, Wright, MR, Kamal, NR, Andersen, L, Randhawa, PA, Stewart, T, Patil, S, Minhas, P, Almekhlafi, M, Mishra, S, Clement, F, Sajobi, T, Shuaib, A, Montanera, WJ, Roy, D, Silver, FL, Jovin, TG, Frei, DF, Sapkota, B, Rempel, JL, Thornton, J, Williams, D, Tampieri, D, Poppe, AY, Dowlatshahi, D, Wong, JH, Mitha, AP, Subramaniam, S, Hull, G, Lowerison, MW, Salluzzi, M, Maxwell, M, Lacusta, S, Drupals, E, Armitage, K, Barber, PA, Smith, EE, Morrish, WF, Coutts, SB, Derdeyn, C, Demaerschalk, B, Yavagal, D, Martin, R, Brant, R, Yu, Y, Willinsky, RA, Weill, A, Kenney, C, Aram, H, Stys, PK, Watson, TW, Klein, G, Pearson, D, Couillard, P, Trivedi, A, Singh, D, Klourfeld, E, Imoukhuede, O, Nikneshan, D, Blayney, S, Reddy, R, Choi, P, Horton, M, Musuka, T, Dubuc, V, Field, TS, Desai, J, Adatia, S, Alseraya, A, Nambiar, V, van Dijk, R, Newcommon, NJ, Schwindt, B, Butcher, KS, Jeerakathil, T, Buck, B, Khan, K, Naik, SS, Emery, DJ, Owen, RJ, Kotylak, TB, Ashforth, RA, Yeo, TA, McNally, D, Siddiqui, M, Saqqur, M, Hussain, D, Kalashyan, H, Manosalva, A, Kate, M, Gioia, L, Hasan, S, Mohammad, A, Muratoglu, M, Cullen, A, Brennan, P, O'Hare, A, Looby, S, Hyland, D, Duff, S, McCusker, M, Hallinan, B, Lee, S, McCormack, J, Moore, A, O'Connor, M, Donegan, C, Brewer, L, Martin, A, Murphy, S, O'Rourke, K, Smyth, S, Kelly, P, Lynch, T, Daly, T, O'Brien, P, O'Driscoll, A, Martin, M, Collins, R, Coughlan, T, McCabe, D, O'Neill, D, Mulroy, M, Lynch, O, Walsh, T, O'Donnell, M, Galvin, T, Harbison, J, McElwaine, P, Mulpeter, K, McLoughlin, C, Reardon, M, Harkin, E, Dolan, E, Watts, M, Cunningham, N, Fallon, C, Gallagher, S, Cotter, P, Crowe, M, Doyle, R, Noone, I, Lapierre, M, Coté, VA, Lanthier, S, Odier, C, Durocher, A, Raymond, J, Daneault, N, Deschaintre, Y, Jankowitz, B, Baxendell, L, Massaro, L, Jackson-Graves, C, Decesare, S, Porter, P, Armbruster, K, Adams, A, Billigan, J, Oakley, J, Ducruet, A, Jadhav, A, Giurgiutiu, D-V, Aghaebrahim, A, Reddy, V, Hammer, M, Starr, M, Totoraitis, V, Wechsler, L, Streib, S, Rangaraju, S, Campbell, D, Rocha, M, Gulati, D, Krings, T, Kalman, L, Cayley, A, Williams, J, Wiegner, R, Casaubon, LK, Jaigobin, C, del Campo, JM, Elamin, E, Schaafsma, JD, Agid, R, Farb, R, ter Brugge, K, Sapkoda, BL, Baxter, BW, Barton, K, Knox, A, Porter, A, Sirelkhatim, A, Devlin, T, Dellinger, C, Pitiyanuvath, N, Patterson, J, Nichols, J, Quarfordt, S, Calvert, J, Hawk, H, Fanale, C, Bitner, A, Novak, A, Huddle, D, Bellon, R, Loy, D, Wagner, J, Chang, I, Lampe, E, Spencer, B, Pratt, R, Bartt, R, Shine, S, Dooley, G, Nguyen, T, Whaley, M, McCarthy, K, Teitelbaum, J, Poon, W, Campbell, N, Cortes, M, Lum, C, Shamloul, R, Robert, S, Stotts, G, Shamy, M, Steffenhagen, N, Blacquiere, D, Hogan, M, AlHazzaa, M, Basir, G, Lesiuk, H, Iancu, D, Santos, M, Choe, H, Weisman, DC, Jonczak, K, Blue-Schaller, A, Shah, Q, MacKenzie, L, Klein, B, Kulandaivel, K, Kozak, O, Gzesh, DJ, Harris, LJ, Khoury, JS, Mandzia, J, Pelz, D, Crann, S, Fleming, L, Hesser, K, Beauchamp, B, Amato-Marzialli, B, Boulton, M, Lopez-Ojeda, P, Sharma, M, Lownie, S, Chan, R, Swartz, R, Howard, P, Golob, D, Gladstone, D, Boyle, K, Boulos, M, Hopyan, J, Yang, V, Da Costa, L, Holmstedt, CA, Turk, AS, Navarro, R, Jauch, E, Ozark, S, Turner, R, Phillips, S, Shankar, J, Jarrett, J, Gubitz, G, Maloney, W, Vandorpe, R, Schmidt, M, Heidenreich, J, Hunter, G, Kelly, M, Whelan, R, Peeling, L, Burns, PA, Hunter, A, Wiggam, I, Kerr, E, Watt, M, Fulton, A, Gordon, P, Rennie, I, Flynn, P, Smyth, G, O'Leary, S, Gentile, N, Linares, G, McNelis, P, Erkmen, K, Katz, P, Azizi, A, Weaver, M, Jungreis, C, Faro, S, Shah, P, Reimer, H, Kalugdan, V, Saposnik, G, Bharatha, A, Li, Y, Kostyrko, P, Marotta, T, Montanera, W, Sarma, D, Selchen, D, Spears, J, Heo, JH, Jeong, K, Kim, DJ, Kim, BM, Kim, YD, Song, D, Lee, K-J, Yoo, J, Bang, OY, Rho, S, Lee, J, Jeon, P, Kim, KH, Cha, J, Kim, SJ, Ryoo, S, Lee, MJ, Sohn, S-I, Kim, C-H, Ryu, H-G, Hong, J-H, Chang, H-W, Lee, C-Y, Rha, J, Davis, Stephen M, Donnan, Geoffrey A, Campbell, Bruce CV, Mitchell, Peter J, Churilov, Leonid, Yan, Bernard, Dowling, Richard, Yassi, Nawaf, Oxley, Thomas J, Wu, Teddy Y, Silver, Gabriel, McDonald, Amy, McCoy, Rachael, Kleinig, Timothy J, Scroop, Rebecca, Dewey, Helen M, Simpson, Marion, Brooks, Mark, Coulton, Bronwyn, Krause, Martin, Harrington, Timothy J, Steinfort, Brendan, Faulder, Kenneth, Priglinger, Miriam, Day, Susan, Phan, Thanh, Chong, Winston, Holt, Michael, Chandra, Ronil V, Ma, Henry, Young, Dennis, Wong, Kitty, Wijeratne, Tissa, Tu, Hans, Mackay, Elizabeth, Celestino, Sherisse, Bladin, Christopher F, Loh, Poh Sien, Gilligan, Amanda, Ross, Zofia, Coote, Skye, Frost, Tanya, Parsons, Mark W, Miteff, Ferdinand, Levi, Christopher R, Ang, Timothy, Spratt, Neil, Kaauwai, Lara, Badve, Monica, Rice, Henry, de Villiers, Laetitia, Barber, P. Alan, McGuinness, Ben, Hope, Ayton, Moriarty, Maurice, Bennett, Patricia, Wong, Andrew, Coulthard, Alan, Lee, Andrew, Jannes, Jim, Field, Deborah, Sharma, Gagan, Salinas, Simon, Cowley, Elise, Snow, Barry, Kolbe, John, Stark, Richard, King, John, Macdonnell, Richard, Attia, John, D'Este, Cate, Saver, Jeffrey L, Goyal, Mayank, Diener, Hans-Christoph, Levy, Elad I., Bonafé, Alain, Mendes Pereira, Vitor, Jahan, Reza, Albers, Gregory W., Cognard, Christophe, Cohen, David J., Hacke, Werner, Jansen, Olav, Jovin, Tudor G., Mattle, Heinrich P., Nogueira, Raul G., Siddiqui, Adnan H., Yavagal, Dileep R., von Kummer, Rüdiger, Smith, Wade, Turjman, Francis, Hamilton, Scott, Chiacchierini, Richard, Amar, Arun, Sanossian, Nerses, Loh, Yince, Baxter, B, Reddy, VK, Horev, A, Star, M, Siddiqui, A, Hopkins, LN, Snyder, K, Sawyer, R, Hall, S, Costalat, V, Riquelme, C, Machi, P, Omer, E, Arquizan, C, Mourand, I, Charif, M, Ayrignac, X, Menjot de Champfleur, N, Leboucq, N, Gascou, G, Moynier, M, du Mesnil de Rochemont, R, Singer, O, Berkefeld, J, Foerch, C, Lorenz, M, Pfeilschifer, W, Hattingen, E, Wagner, M, You, SJ, Lescher, S, Braun, H, Dehkharghani, S, Belagaje, SR, Anderson, A, Lima, A, Obideen, M, Haussen, D, Dharia, R, Frankel, M, Patel, V, Owada, K, Saad, A, Amerson, L, Horn, C, Doppelheuer, S, Schindler, K, Lopes, DK, Chen, M, Moftakhar, R, Anton, C, Smreczak, M, Carpenter, JS, Boo, S, Rai, A, Roberts, T, Tarabishy, A, Gutmann, L, Brooks, C, Brick, J, Domico, J, Reimann, G, Hinrichs, K, Becker, M, Heiss, E, Selle, C, Witteler, A, Al-Boutros, S, Danch, M-J, Ranft, A, Rohde, S, Burg, K, Weimar, C, Zegarac, V, Hartmann, C, Schlamann, M, Göricke, S, Ringlestein, A, Wanke, I, Mönninghoff, C, Dietzold, M, Budzik, R, Davis, T, Eubank, G, Hicks, WJ, Pema, P, Vora, N, Mejilla, J, Taylor, M, Clark, W, Rontal, A, Fields, J, Peterson, B, Nesbit, G, Lutsep, H, Bozorgchami, H, Priest, R, Ologuntoye, O, Barnwell, S, Dogan, A, Herrick, K, Takahasi, C, Beadell, N, Brown, B, Jamieson, S, Hussain, MS, Russman, A, Hui, F, Wisco, D, Uchino, K, Khawaja, Z, Katzan, I, Toth, G, Cheng-Ching, E, Bain, M, Man, S, Farrag, A, George, P, John, S, Shankar, L, Drofa, A, Dahlgren, R, Bauer, A, Itreat, A, Taqui, A, Cerejo, R, Richmond, A, Ringleb, P, Bendszus, M, Möhlenbruch, M, Reiff, T, Amiri, H, Purrucker, J, Herweh, C, Pham, M, Menn, O, Ludwig, I, Acosta, I, Villar, C, Morgan, W, Sombutmai, C, Hellinger, F, Allen, E, Bellew, M, Gandhi, R, Bonwit, E, Aly, J, Ecker, RD, Seder, D, Morris, J, Skaletsky, M, Belden, J, Baker, C, Connolly, LS, Papanagiotou, P, Roth, C, Kastrup, A, Politi, M, Brunner, F, Alexandrou, M, Merdivan, H, Ramsey, C, Given II, C, Renfrow, S, Deshmukh, V, Sasadeusz, K, Vincent, F, Thiesing, JT, Putnam, J, Bhatt, A, Kansara, A, Caceves, D, Lowenkopf, T, Yanase, L, Zurasky, J, Dancer, S, Freeman, B, Scheibe-Mirek, T, Robison, J, Roll, J, Clark, D, Rodriguez, M, Fitzsimmons, B-FM, Zaidat, O, Lynch, JR, Lazzaro, M, Larson, T, Padmore, L, Das, E, Farrow-Schmidt, A, Hassan, A, Tekle, W, Cate, C, Jansen, O, Cnyrim, C, Wodarg, F, Wiese, C, Binder, A, Riedel, C, Rohr, A, Lang, N, Laufs, H, Krieter, S, Remonda, L, Diepers, M, Añon, J, Nedeltchev, K, Kahles, T, Biethahn, S, Lindner, M, Chang, V, Gächter, C, Esperon, C, Guglielmetti, M, Arenillas Lara, JF, Martínez Galdámez, M, Calleja Sanz, AI, Cortijo Garcia, E, Garcia Bermejo, P, Perez, S, Mulero Carrillo, P, Crespo Vallejo, E, Ruiz Piñero, M, Lopez Mesonero, L, Reyes Muñoz, FJ, Brekenfeld, C, Buhk, J-H, Krützelmann, A, Thomalla, G, Cheng, B, Beck, C, Hoppe, J, Goebell, E, Holst, B, Grzyska, U, Wortmann, G, Starkman, S, Duckwiler, G, Jahan, R, Rao, N, Sheth, S, Ng, K, Noorian, A, Szeder, V, Nour, M, McManus, M, Huang, J, Tarpley, J, Tateshima, S, Gonzalez, N, Ali, L, Liebeskind, D, Hinman, J, Calderon-Arnulphi, M, Liang, C, Guzy, J, Koch, S, DeSousa, K, Gordon-Perue, G, Elhammady, M, Peterson, E, Pandey, V, Dharmadhikari, S, Khandelwal, P, Malik, A, Pafford, R, Gonzalez, P, Ramdas, K, Andersen, G, Damgaard, D, Von Weitzel-Mudersbach, P, Simonsen, C, Ruiz de Morales Ayudarte, N, Poulsen, M, Sørensen, L, Karabegovich, S, Hjørringgaard, M, Hjort, N, Harbo, T, Sørensen, K, Deshaies, E, Padalino, D, Swarnkar, A, Latorre, JG, Elnour, E, El-Zammar, Z, Villwock, M, Farid, H, Balgude, A, Cross, L, Hansen, K, Holtmannspötter, M, Kondziella, D, Hoejgaard, J, Taudorf, S, Soendergaard, H, Wagner, A, Cronquist, M, Stavngaard, T, Cortsen, M, Krarup, LH, Hyldal, T, Haring, H-P, Guggenberger, S, Hamberger, M, Trenkler, J, Sonnberger, M, Nussbaumer, K, Dominger, C, Bach, E, Jagadeesan, BD, Taylor, R, Kim, J, Shea, K, Tummala, R, Zacharatos, H, Sandhu, D, Ezzeddine, M, Grande, A, Hildebrandt, D, Miller, K, Scherber, J, Hendrickson, A, Jumaa, M, Zaidi, S, Hendrickson, T, Snyder, V, Killer-Oberpfalzer, M, Mutzenbach, J, Weymayr, F, Broussalis, E, Stadler, K, Jedlitschka, A, Malek, A, Mueller-Kronast, N, Beck, P, Martin, C, Summers, D, Day, J, Bettinger, I, Holloway, W, Olds, K, Arkin, S, Akhtar, N, Boutwell, C, Crandall, S, Schwartzman, M, Weinstein, C, Brion, B, Prothmann, S, Kleine, J, Kreiser, K, Boeckh-Behrens, T, Poppert, H, Wunderlich, S, Koch, ML, Biberacher, V, Huberle, A, Gora-Stahlberg, G, Knier, B, Meindl, T, Utpadel-Fischler, D, Zech, M, Kowarik, M, Seifert, C, Schwaiger, B, Puri, A, Hou, S, Wakhloo, A, Moonis, M, Henniger, N, Goddeau, R, Massari, F, Minaeian, A, Lozano, JD, Ramzan, M, Stout, C, Patel, A, Tunguturi, A, Onteddu, S, Carandang, R, Howk, M, Ribó, M, Sanjuan, E, Rubiera, M, Pagola, J, Flores, A, Muchada, M, Meler, P, Huerga, E, Gelabert, S, Coscojuela, P, Tomasello, A, Rodriguez, D, Santamarina, E, Maisterra, O, Boned, S, Seró, L, Rovira, A, Molina, CA, Millán, M, Muñoz, L, Pérez de la Ossa, N, Gomis, M, Dorado, L, López-Cancio, E, Palomeras, E, Munuera, J, García Bermejo, P, Remollo, S, Castaño, C, García-Sort, R, Cuadras, P, Puyalto, P, Hernández-Pérez, M, Jiménez, M, Martínez-Piñeiro, A, Lucente, G, Dávalos, A, Chamorro, A, Urra, X, Obach, V, Cervera, A, Amaro, S, Llull, L, Codas, J, Balasa, M, Navarro, J, Ariño, H, Aceituno, A, Rudilosso, S, Renu, A, Macho, JM, San Roman, L, Blasco, J, López, A, Macías, N, Cardona, P, Quesada, H, Rubio, F, Cano, L, Lara, B, de Miquel, MA, Aja, L, Serena, J, Cobo, E, Albers, Gregory W, Lees, Kennedy R, Arenillas, J, Roberts, R, Al-Ajlan, F, Zimmel, L, Patel, S, Martí-Fàbregas, J, Salvat-Plana, M, Bracard, S, Ducrocq, Xavier, Anxionnat, René, Baillot, Pierre-Alexandre, Barbier, Charlotte, Derelle, Anne-Laure, Lacour, Jean-Christophe, Richard, Sébastien, Samson, Yves, Sourour, Nader, Baronnet-Chauvet, Flore, Clarencon, Frédéric, Crozier, Sophie, Deltour, Sandrine, Di Maria, Federico, Le Bouc, Raphael, Leger, Anne, Mutlu, Gurkan, Rosso, Charlotte, Szatmary, Zoltan, Yger, Marion, Zavanone, Chiara, Bakchine, Serge, Pierot, Laurent, Caucheteux, Nathalie, Estrade, Laurent, Kadziolka, Krzysztof, Leautaud, Alexandre, Renkes, Céline, Serre, Isabelle, Desal, Hubert, Guillon, Benoît, Boutoleau-Bretonniere, Claire, Daumas-Duport, Benjamin, De Gaalon, Solène, Derkinderen, Pascal, Evain, Sarah, Herisson, Fanny, Laplaud, David-Axel, Lebouvier, Thibaud, Lintia-Gaultier, Alina, Pouclet-Courtemanche, Hélène, Rouaud, Tiphaine, Rouaud Jaffrenou, Violaine, Schunck, Aurélia, Sevin-Allouet, Mathieu, Toulgoat, Frederique, Wiertlewski, Sandrine, Gauvrit, Jean-Yves, Ronziere, Thomas, Cahagne, Vincent, Ferre, Jean-Christophe, Pinel, Jean-François, Raoult, Hélène, Mas, Jean-Louis, Meder, Jean-François, Al Najjar-Carpentier, Amen-Adam, Birchenall, Julia, Bodiguel, Eric, Calvet, David, Domigo, Valérie, Godon-Hardy, Sylvie, Guiraud, Vincent, Lamy, Catherine, Majhadi, Loubna, Morin, Ludovic, Naggara, Olivier, Trystram, Denis, Turc, Guillaume, Berge, Jérôme, Sibon, Igor, Menegon, Patrice, Barreau, Xavier, Rouanet, François, Debruxelles, Sabrina, Kazadi, Annabelle, Renou, Pauline, Fleury, Olivier, Pasco-Papon, Anne, Dubas, Frédéric, Caroff, Jildaz, Godard Ducceschi, Sophie, Hamon, Marie-Aurélie, Lecluse, Alderic, Marc, Guillaume, Giroud, Maurice, Ricolfi, Frédéric, Bejot, Yannick, Chavent, Adrien, Gentil, Arnaud, Kazemi, Apolline, Osseby, Guy-Victor, Voguet, Charlotte, Mahagne, Marie-Hélène, Sedat, Jacques, Chau, Yves, Suissa, Laurent, Lachaud, Sylvain, Houdart, Emmanuel, Stapf, Christian, Buffon Porcher, Frédérique, Chabriat, Hugues, Guedin, Pierre, Herve, Dominique, Jouvent, Eric, Mawet, Jérôme, Saint-Maurice, Jean-Pierre, Schneble, Hans-Martin, Nighoghossian, Norbert, Berhoune, Nadia-Nawel, Bouhour, Françoise, Cho, Tae-Hee, Derex, Laurent, Felix, Sandra, Gervais-Bernard, Hélène, Gory, Benjamin, Manera, Luis, Mechtouff, Laura, Ritzenthaler, Thomas, Riva, Roberto, Salaris Silvio, Fabrizio, Tilikete, Caroline, Blanc, Raphael, Obadia, Michaël, Bartolini, Mario Bruno, Gueguen, Antoine, Piotin, Michel, Pistocchi, Silvia, Redjem, Hocine, Drouineau, Jacques, Neau, Jean-Philippe, Godeneche, Gaelle, Lamy, Matthias, Marsac, Emilia, Velasco, Stephane, Clavelou, Pierre, Chabert, Emmanuel, Bourgois, Nathalie, Cornut-Chauvinc, Catherine, Ferrier, Anna, Gabrillargues, Jean, Jean, Betty, Marques, Anna-Raquel, Vitello, Nicolas, Detante, Olivier, Barbieux, Marianne, Boubagra, Kamel, Favre Wiki, Isabelle, Garambois, Katia, Tahon, Florence, Ashok, Vasdev, Coskun, Oguzhan, Rodesch, Georges, Lapergue, Bertrand, Bourdain, Frédéric, Evrard, Serge, Graveleau, Philippe, Decroix, Jean Pierre, Wang, Adrien, Sellal, François, Ahle, Guido, Carelli, Gabriela, Dugay, Marie-Hélène, Gaultier, Claude, Lebedinsky, Ariel Pablo, Lita, Lavinia, Musacchio, Raul Mariano, Renglewicz-Destuynder, Catherine, Tournade, Alain, Vuillemet, Françis, Montoro, Francisco Macian, Mounayer, Charbel, Faugeras, Frederic, Gimenez, Laetitia, Labach, Catherine, Lautrette, Géraldine, Denier, Christian, Saliou, Guillaume, Chassin, Olivier, Dussaule, Claire, Melki, Elsa, Ozanne, Augustin, Puccinelli, Francesco, Sachet, Marina, Sarov, Mariana, Bonneville, Jean-François, Moulin, Thierry, Biondi, Alessandra, De Bustos Medeiros, Elisabeth, Vuillier, Fabrice, Courtheoux, Patrick, Viader, Fausto, Apoil-Brissard, Marion, Bataille, Mathieu, Bonnet, Anne-Laure, Cogez, Julien, Touze, Emmanuel, Leclerc, Xavier, Leys, Didier, Aggour, Mohamed, Aguettaz, Pierre, Bodenant, Marie, Cordonnier, Charlotte, Deplanque, Dominique, Girot, Marie, Henon, Hilde, Kalsoum, Erwah, Lucas, Christian, Pruvo, Jean-Pierre, Zuniga, Paolo, Arquizan, Caroline, Costalat, Vincent, Machi, Paolo, Mourand, Isabelle, Riquelme, Carlos, Bounolleau, Pierre, Arteaga, Charles, Faivre, Anthony, Bintner, Marc, Tournebize, Patrice, Charlin, Cyril, Darcel, Françoise, Gauthier-Lasalarie, Pascale, Jeremenko, Marcia, Mouton, Servane, Zerlauth, Jean-Baptiste, Lamy, Chantal, Hervé, Deramond, Hassan, Hosseini, Gaston, André, Barral, Francis-Guy, Garnier, Pierre, Beaujeux, Rémy, Wolff, Valérie, Herbreteau, Denis, Debiais, Séverine, Murray, Alicia, Ford, Gary, Muir, Keith W, White, Philip, Brown, Martin M, Clifton, Andy, Freeman, Janet, Ford, Ian, Markus, Hugh, Wardlaw, Joanna, Molyneux, Andy, Robinson, Thompson, Lewis, Steff, Norrie, John, Robertson, Fergus, Perry, Richard, Dixit, Anand, Cloud, Geoffrey, Clifton, Andrew, Madigan, Jeremy, Roffe, Christine, Nayak, Sanjeev, Lobotesis, Kyriakos, Smith, Craig, Herwadkar, Amit, Kandasamy, Naga, Goddard, Tony, Bamford, John, Subramanian, Ganesh, Lenthall, Rob, Littleton, Edward, Lamin, Sal, Storey, Kelley, Ghatala, Rita, Banaras, Azra, Aeron-Thomas, John, Hazel, Bath, Maguire, Holly, Veraque, Emelda, Harrison, Louise, Keshvara, Rekha, Cunningham, James, Román, Luis San, Menon, Bijoy K, Blasco, Jordi, Hernández-Pérez, María, Dávalos, Antoni, Majoie, Charles B L M, Campbell, Bruce C V, Guillemin, Francis, Lingsma, Hester, Epstein, Jonathan, Marquering, Henk, Wong, John H, Lopes, Demetrius, Reimann, Gernot, Dippel, Diederik W J, Coutts, Shelagh, du Mesnil de Rochemont, Richard, Yavagal, Dileep, Ferre, Jean Christophe, Roos, Yvo B W E M, Liebeskind, David S, Lenthall, Robert, Molina, Carlos, Al Ajlan, Fahad S, Reddy, Vivek, Dowlatshahi, Dar, Sourour, Nader-Antoine, Oppenheim, Catherine, Mitha, Alim P, Weimar, Christian, van Oostenbrugge, Robert J, Cobo, Erik, Demchuk, Andrew M, Boers, Anna M M, Ford, Gary A, Brown, B Scott, Jovin, Tudor, van Zwam, Wim H, Hill, Michael D, White, Phil, and Bracard, Serge

Published
2018
Full Text
View/download PDF

6. Effect of general anaesthesia on functional outcome in patients with anterior circulation ischaemic stroke having endovascular thrombectomy versus standard care: a meta-analysis of individual patient data

Author

Berkhemer, Olvert A, Fransen, Puck SS, Beumer, Debbie, van den Berg, Lucie A, Lingsma, Hester F, Yoo, Albert J, Schonewille, Wouter J, Vos, Jan Albert, Nederkoorn, Paul J, Wermer, Marieke JH, van Walderveen, Marianne AA, Staals, Julie, Hofmeijer, Jeannette, van Oostayen, Jacques A., Lycklama à Nijeholt, Geert J., Boiten, Jelis, Brouwer, Patrick A., Emmer, Bart J., de Bruijn, Sebastiaan F., van Dijk, Lukas C., Kappelle, Jaap, Lo, Rob H, van Dijk, Ewoud J., de Vries, Joost, de Kort, Paul L.M., van Rooij, Willem Jan J., van den Berg, Jan S.P., van Hasselt, Boudewijn A.A.M., Aerden, Leo A.M., Dallinga, René J., Visser, Marieke C., Bot, Joseph C.J., Vroomen, Patrick C., Eshghi, Omid, Schreuder, Tobien H.C.M.L., Heijboer, Roel J.J., Keizer, Koos, Tielbeek, Alexander V., den Hertog, Heleen M., Gerrits, Dick G., van den Berg-Vos, Renske M., Karas, Giorgos B., Steyerberg, Ewout W., Flach, Zwenneke, Marquering, Henk A., Sprengers, Marieke E.S., Jenniskens, Sjoerd F.M., Beenen, Ludo F.M., van den Berg, René, Koudstaal, Peter J., van Zwam, Wim H., Roos, Yvo B.W.E.M., van der Lugt, Aad, van Oostenbrugge, Robert J., Majoie, Charles B.L.M., Dippel, Diederik W.J., Brown, Martin M., Liebig, Thomas, Stijnen, Theo, Andersson, Tommy, Mattle, Heinrich, Wahlgren, Nils, van der Heijden, Esther, Ghannouti, Naziha, Fleitour, Nadine, Hooijenga, Imke, Puppels, Corina, Pellikaan, Wilma, Geerling, Annet, Lindl-Velema, Annemieke, van Vemde, Gina, de Ridder, Ans, Greebe, Paut, de Bont-Stikkelbroeck, José, de Meris, Joke, Janssen, Kirsten, Struijk, Willy, Licher, Silvan, Boodt, Nikki, Ros, Adriaan, Venema, Esmee, Slokkers, Ilse, Ganpat, Raymie-Jayce, Mulder, Maxim, Saiedie, Nawid, Heshmatollah, Alis, Schipperen, Stefanie, Vinken, Stefan, van Boxtel, Tiemen, Koets, Jeroen, Boers, Merel, Santos, Emilie, Borst, Jordi, Jansen, Ivo, Kappelhof, Manon, Lucas, Marit, Geuskens, Ralph, Barros, Renan Sales, Dobbe, Roeland, Csizmadia, Marloes, Hill, MD, Goyal, M, Demchuk, AM, Menon, BK, Eesa, M, Ryckborst, KJ, Wright, MR, Kamal, NR, Andersen, L, Randhawa, PA, Stewart, T, Patil, S, Minhas, P, Almekhlafi, M, Mishra, S, Clement, F, Sajobi, T, Shuaib, A, Montanera, WJ, Roy, D, Silver, FL, Jovin, TG, Frei, DF, Sapkota, B, Rempel, JL, Thornton, J, Williams, D, Tampieri, D, Poppe, AY, Dowlatshahi, D, Wong, JH, Mitha, AP, Subramaniam, S, Hull, G, Lowerison, MW, Salluzzi, M, Maxwell, M, Lacusta, S, Drupals, E, Armitage, K, Barber, PA, Smith, EE, Morrish, WF, Coutts, SB, Derdeyn, C, Demaerschalk, B, Yavagal, D, Martin, R, Brant, R, Yu, Y, Willinsky, RA, Weill, A, Kenney, C, Aram, H, Stys, PK, Watson, TW, Klein, G, Pearson, D, Couillard, P, Trivedi, A, Singh, D, Klourfeld, E, Imoukhuede, O, Nikneshan, D, Blayney, S, Reddy, R, Choi, P, Horton, M, Musuka, T, Dubuc, V, Field, TS, Desai, J, Adatia, S, Alseraya, A, Nambiar, V, van Dijk, R, Newcommon, NJ, Schwindt, B, Butcher, KS, Jeerakathil, T, Buck, B, Khan, K, Naik, SS, Emery, DJ, Owen, RJ, Kotylak, TB, Ashforth, RA, Yeo, TA, McNally, D, Siddiqui, M, Saqqur, M, Hussain, D, Kalashyan, H, Manosalva, A, Kate, M, Gioia, L, Hasan, S, Mohammad, A, Muratoglu, M, Cullen, A, Brennan, P, O'Hare, A, Looby, S, Hyland, D, Duff, S, McCusker, M, Hallinan, B, Lee, S, McCormack, J, Moore, A, O'Connor, M, Donegan, C, Brewer, L, Martin, A, Murphy, S, O'Rourke, K, Smyth, S, Kelly, P, Lynch, T, Daly, T, O'Brien, P, O'Driscoll, A, Martin, M, Collins, R, Coughlan, T, McCabe, D, O'Neill, D, Mulroy, M, Lynch, O, Walsh, T, O'Donnell, M, Galvin, T, Harbison, J, McElwaine, P, Mulpeter, K, McLoughlin, C, Reardon, M, Harkin, E, Dolan, E, Watts, M, Cunningham, N, Fallon, C, Gallagher, S, Cotter, P, Crowe, M, Doyle, R, Noone, I, Lapierre, M, Coté, VA, Lanthier, S, Odier, C, Durocher, A, Raymond, J, Daneault, N, Deschaintre, Y, Jankowitz, B, Baxendell, L, Massaro, L, Jackson-Graves, C, Decesare, S, Porter, P, Armbruster, K, Adams, A, Billigan, J, Oakley, J, Ducruet, A, Jadhav, A, Giurgiutiu, D-V, Aghaebrahim, A, Reddy, V, Hammer, M, Starr, M, Totoraitis, V, Wechsler, L, Streib, S, Rangaraju, S, Campbell, D, Rocha, M, Gulati, D, Krings, T, Kalman, L, Cayley, A, Williams, J, Wiegner, R, Casaubon, LK, Jaigobin, C, del Campo, JM, Elamin, E, Schaafsma, JD, Agid, R, Farb, R, ter Brugge, K, Sapkoda, BL, Baxter, BW, Barton, K, Knox, A, Porter, A, Sirelkhatim, A, Devlin, T, Dellinger, C, Pitiyanuvath, N, Patterson, J, Nichols, J, Quarfordt, S, Calvert, J, Hawk, H, Fanale, C, Bitner, A, Novak, A, Huddle, D, Bellon, R, Loy, D, Wagner, J, Chang, I, Lampe, E, Spencer, B, Pratt, R, Bartt, R, Shine, S, Dooley, G, Nguyen, T, Whaley, M, McCarthy, K, Teitelbaum, J, Poon, W, Campbell, N, Cortes, M, Lum, C, Shamloul, R, Robert, S, Stotts, G, Shamy, M, Steffenhagen, N, Blacquiere, D, Hogan, M, AlHazzaa, M, Basir, G, Lesiuk, H, Iancu, D, Santos, M, Choe, H, Weisman, DC, Jonczak, K, Blue-Schaller, A, Shah, Q, MacKenzie, L, Klein, B, Kulandaivel, K, Kozak, O, Gzesh, DJ, Harris, LJ, Khoury, JS, Mandzia, J, Pelz, D, Crann, S, Fleming, L, Hesser, K, Beauchamp, B, Amato-Marzialli, B, Boulton, M, Lopez- Ojeda, P, Sharma, M, Lownie, S, Chan, R, Swartz, R, Howard, P, Golob, D, Gladstone, D, Boyle, K, Boulos, M, Hopyan, J, Yang, V, Da Costa, L, Holmstedt, CA, Turk, AS, Navarro, R, Jauch, E, Ozark, S, Turner, R, Phillips, S, Shankar, J, Jarrett, J, Gubitz, G, Maloney, W, Vandorpe, R, Schmidt, M, Heidenreich, J, Hunter, G, Kelly, M, Whelan, R, Peeling, L, Burns, PA, Hunter, A, Wiggam, I, Kerr, E, Watt, M, Fulton, A, Gordon, P, Rennie, I, Flynn, P, Smyth, G, O'Leary, S, Gentile, N, Linares, G, McNelis, P, Erkmen, K, Katz, P, Azizi, A, Weaver, M, Jungreis, C, Faro, S, Shah, P, Reimer, H, Kalugdan, V, Saposnik, G, Bharatha, A, Li, Y, Kostyrko, P, Marotta, T, Montanera, W, Sarma, D, Selchen, D, Spears, J, Heo, JH, Jeong, K, Kim, DJ, Kim, BM, Kim, YD, Song, D, Lee, K-J, Yoo, J, Bang, OY, Rho, S, Lee, J, Jeon, P, Kim, KH, Cha, J, Kim, SJ, Ryoo, S, Lee, MJ, Sohn, S-I, Kim, C-H, Ryu, H-G, Hong, J-H, Chang, H-W, Lee, C-Y, Rha, J, Davis, Stephen M, Donnan, Geoffrey A, Campbell, Bruce CV, Mitchell, Peter J, Churilov, Leonid, Yan, Bernard, Dowling, Richard, Yassi, Nawaf, Oxley, Thomas J, Wu, Teddy Y, Silver, Gabriel, McDonald, Amy, McCoy, Rachael, Kleinig, Timothy J, Scroop, Rebecca, Dewey, Helen M, Simpson, Marion, Brooks, Mark, Coulton, Bronwyn, Krause, Martin, Harrington, Timothy J, Steinfort, Brendan, Faulder, Kenneth, Priglinger, Miriam, Day, Susan, Phan, Thanh, Chong, Winston, Holt, Michael, Chandra, Ronil V, Ma, Henry, Young, Dennis, Wong, Kitty, Wijeratne, Tissa, Tu, Hans, Mackay, Elizabeth, Celestino, Sherisse, Bladin, Christopher F, Loh, Poh Sien, Gilligan, Amanda, Ross, Zofia, Coote, Skye, Frost, Tanya, Parsons, Mark W, Miteff, Ferdinand, Levi, Christopher R, Ang, Timothy, Spratt, Neil, Kaauwai, Lara, Badve, Monica, Rice, Henry, de Villiers, Laetitia, Barber, P. Alan, McGuinness, Ben, Hope, Ayton, Moriarty, Maurice, Bennett, Patricia, Wong, Andrew, Coulthard, Alan, Lee, Andrew, Jannes, Jim, Field, Deborah, Sharma, Gagan, Salinas, Simon, Cowley, Elise, Snow, Barry, Kolbe, John, Stark, Richard, King, John, Macdonnell, Richard, Attia, John, D'Este, Cate, Saver, Jeffrey L, Goyal, Mayank, Diener, Hans-Christoph, Levy, Elad I., Bonafé, Alain, Mendes Pereira, Vitor, Jahan, Reza, Albers, Gregory W., Cognard, Christophe, Cohen, David J., Hacke, Werner, Jansen, Olav, Jovin, Tudor G., Mattle, Heinrich P., Nogueira, Raul G., Siddiqui, Adnan H., Yavagal, Dileep R., von Kummer, Rüdiger, Smith, Wade, Turjman, Francis, Hamilton, Scott, Chiacchierini, Richard, Amar, Arun, Sanossian, Nerses, Loh, Yince, Baxter, B, Reddy, VK, Horev, A, Star, M, Siddiqui, A, Hopkins, LN, Snyder, K, Sawyer, R, Hall, S, Costalat, V, Riquelme, C, Machi, P, Omer, E, Arquizan, C, Mourand, I, Charif, M, Ayrignac, X, Menjot de Champfleur, N, Leboucq, N, Gascou, G, Moynier, M, du Mesnil de Rochemont, R, Singer, O, Berkefeld, J, Foerch, C, Lorenz, M, Pfeilschifer, W, Hattingen, E, Wagner, M, You, SJ, Lescher, S, Braun, H, Dehkharghani, S, Belagaje, SR, Anderson, A, Lima, A, Obideen, M, Haussen, D, Dharia, R, Frankel, M, Patel, V, Owada, K, Saad, A, Amerson, L, Horn, C, Doppelheuer, S, Schindler, K, Lopes, DK, Chen, M, Moftakhar, R, Anton, C, Smreczak, M, Carpenter, JS, Boo, S, Rai, A, Roberts, T, Tarabishy, A, Gutmann, L, Brooks, C, Brick, J, Domico, J, Reimann, G, Hinrichs, K, Becker, M, Heiss, E, Selle, C, Witteler, A, Al-Boutros, S, Danch, M-J, Ranft, A, Rohde, S, Burg, K, Weimar, C, Zegarac, V, Hartmann, C, Schlamann, M, Göricke, S, Ringlestein, A, Wanke, I, Mönninghoff, C, Dietzold, M, Budzik, R, Davis, T, Eubank, G, Hicks, WJ, Pema, P, Vora, N, Mejilla, J, Taylor, M, Clark, W, Rontal, A, Fields, J, Peterson, B, Nesbit, G, Lutsep, H, Bozorgchami, H, Priest, R, Ologuntoye, O, Barnwell, S, Dogan, A, Herrick, K, Takahasi, C, Beadell, N, Brown, B, Jamieson, S, Hussain, MS, Russman, A, Hui, F, Wisco, D, Uchino, K, Khawaja, Z, Katzan, I, Toth, G, Cheng-Ching, E, Bain, M, Man, S, Farrag, A, George, P, John, S, Shankar, L, Drofa, A, Dahlgren, R, Bauer, A, Itreat, A, Taqui, A, Cerejo, R, Richmond, A, Ringleb, P, Bendszus, M, Möhlenbruch, M, Reiff, T, Amiri, H, Purrucker, J, Herweh, C, Pham, M, Menn, O, Ludwig, I, Acosta, I, Villar, C, Morgan, W, Sombutmai, C, Hellinger, F, Allen, E, Bellew, M, Gandhi, R, Bonwit, E, Aly, J, Ecker, RD, Seder, D, Morris, J, Skaletsky, M, Belden, J, Baker, C, Connolly, LS, Papanagiotou, P, Roth, C, Kastrup, A, Politi, M, Brunner, F, Alexandrou, M, Merdivan, H, Ramsey, C, Given II, C, Renfrow, S, Deshmukh, V, Sasadeusz, K, Vincent, F, Thiesing, JT, Putnam, J, Bhatt, A, Kansara, A, Caceves, D, Lowenkopf, T, Yanase, L, Zurasky, J, Dancer, S, Freeman, B, Scheibe-Mirek, T, Robison, J, Roll, J, Clark, D, Rodriguez, M, Fitzsimmons, B-FM, Zaidat, O, Lynch, JR, Lazzaro, M, Larson, T, Padmore, L, Das, E, Farrow-Schmidt, A, Hassan, A, Tekle, W, Cate, C, Jansen, O, Cnyrim, C, Wodarg, F, Wiese, C, Binder, A, Riedel, C, Rohr, A, Lang, N, Laufs, H, Krieter, S, Remonda, L, Diepers, M, Añon, J, Nedeltchev, K, Kahles, T, Biethahn, S, Lindner, M, Chang, V, Gächter, C, Esperon, C, Guglielmetti, M, Arenillas Lara, JF, Martínez Galdámez, M, Calleja Sanz, AI, Cortijo Garcia, E, Garcia Bermejo, P, Perez, S, Mulero Carrillo, P, Crespo Vallejo, E, Ruiz Piñero, M, Lopez Mesonero, L, Reyes Muñoz, FJ, Brekenfeld, C, Buhk, J-H, Krützelmann, A, Thomalla, G, Cheng, B, Beck, C, Hoppe, J, Goebell, E, Holst, B, Grzyska, U, Wortmann, G, Starkman, S, Duckwiler, G, Jahan, R, Rao, N, Sheth, S, Ng, K, Noorian, A, Szeder, V, Nour, M, McManus, M, Huang, J, Tarpley, J, Tateshima, S, Gonzalez, N, Ali, L, Liebeskind, D, Hinman, J, Calderon-Arnulphi, M, Liang, C, Guzy, J, Koch, S, DeSousa, K, Gordon-Perue, G, Elhammady, M, Peterson, E, Pandey, V, Dharmadhikari, S, Khandelwal, P, Malik, A, Pafford, R, Gonzalez, P, Ramdas, K, Andersen, G, Damgaard, D, Von Weitzel-Mudersbach, P, Simonsen, C, Ruiz de Morales Ayudarte, N, Poulsen, M, Sørensen, L, Karabegovich, S, Hjørringgaard, M, Hjort, N, Harbo, T, Sørensen, K, Deshaies, E, Padalino, D, Swarnkar, A, Latorre, JG, Elnour, E, El-Zammar, Z, Villwock, M, Farid, H, Balgude, A, Cross, L, Hansen, K, Holtmannspötter, M, Kondziella, D, Hoejgaard, J, Taudorf, S, Soendergaard, H, Wagner, A, Cronquist, M, Stavngaard, T, Cortsen, M, Krarup, LH, Hyldal, T, Haring, H-P, Guggenberger, S, Hamberger, M, Trenkler, J, Sonnberger, M, Nussbaumer, K, Dominger, C, Bach, E, Jagadeesan, BD, Taylor, R, Kim, J, Shea, K, Tummala, R, Zacharatos, H, Sandhu, D, Ezzeddine, M, Grande, A, Hildebrandt, D, Miller, K, Scherber, J, Hendrickson, A, Jumaa, M, Zaidi, S, Hendrickson, T, Snyder, V, Killer-Oberpfalzer, M, Mutzenbach, J, Weymayr, F, Broussalis, E, Stadler, K, Jedlitschka, A, Malek, A, Mueller-Kronast, N, Beck, P, Martin, C, Summers, D, Day, J, Bettinger, I, Holloway, W, Olds, K, Arkin, S, Akhtar, N, Boutwell, C, Crandall, S, Schwartzman, M, Weinstein, C, Brion, B, Prothmann, S, Kleine, J, Kreiser, K, Boeckh-Behrens, T, Poppert, H, Wunderlich, S, Koch, ML, Biberacher, V, Huberle, A, Gora-Stahlberg, G, Knier, B, Meindl, T, Utpadel-Fischler, D, Zech, M, Kowarik, M, Seifert, C, Schwaiger, B, Puri, A, Hou, S, Wakhloo, A, Moonis, M, Henninger, N, Goddeau, R, Massari, F, Minaeian, A, Lozano, JD, Ramzan, M, Stout, C, Patel, A, Tunguturi, A, Onteddu, S, Carandang, R, Howk, M, Ribó, M, Sanjuan, E, Rubiera, M, Pagola, J, Flores, A, Muchada, M, Meler, P, Huerga, E, Gelabert, S, Coscojuela, P, Tomasello, A, Rodriguez, D, Santamarina, E, Maisterra, O, Boned, S, Seró, L, Rovira, A, Molina, CA, Millán, M, Muñoz, L, Pérez de la Ossa, N, Gomis, M, Dorado, L, López-Cancio, E, Palomeras, E, Munuera, J, García Bermejo, P, Remollo, S, Castaño, C, García-Sort, R, Cuadras, P, Puyalto, P, Hernández-Pérez, M, Jiménez, M, Martínez-Piñeiro, A, Lucente, G, Dávalos, A, Chamorro, A, Urra, X, Obach, V, Cervera, A, Amaro, S, Llull, L, Codas, J, Balasa, M, Navarro, J, Ariño, H, Aceituno, A, Rudilosso, S, Renu, A, Macho, JM, San Roman, L, Blasco, J, López, A, Macías, N, Cardona, P, Quesada, H, Rubio, F, Cano, L, Lara, B, de Miquel, MA, Aja, L, Serena, J, Cobo, E, Albers, Gregory W, Lees, Kennedy R, Arenillas, J, Roberts, R, Al-Ajlan, F, Zimmel, L, Patel, S, Martí-Fàbregas, J, Salvat-Plana, M, Bracard, S, Ducrocq, Xavier, Anxionnat, René, Baillot, Pierre-Alexandre, Barbier, Charlotte, Derelle, Anne-Laure, Lacour, Jean-Christophe, Richard, Sébastien, Samson, Yves, Sourour, Nader, Baronnet-Chauvet, Flore, Clarencon, Frédéric, Crozier, Sophie, Deltour, Sandrine, Di Maria, Federico, Le Bouc, Raphael, Leger, Anne, Mutlu, Gurkan, Rosso, Charlotte, Szatmary, Zoltan, Yger, Marion, Zavanone, Chiara, Bakchine, Serge, Pierot, Laurent, Caucheteux, Nathalie, Estrade, Laurent, Kadziolka, Krzysztof, Leautaud, Alexandre, Renkes, Céline, Serre, Isabelle, Desal, Hubert, Guillon, Benoît, Boutoleau-Bretonniere, Claire, Daumas-Duport, Benjamin, De Gaalon, Solène, Derkinderen, Pascal, Evain, Sarah, Herisson, Fanny, Laplaud, David-Axel, Lebouvier, Thibaud, Lintia-Gaultier, Alina, Pouclet-Courtemanche, Hélène, Rouaud, Tiphaine, Rouaud Jaffrenou, Violaine, Schunck, Aurélia, Sevin-Allouet, Mathieu, Toulgoat, Frederique, Wiertlewski, Sandrine, Gauvrit, Jean-Yves, Ronziere, Thomas, Cahagne, Vincent, Ferre, Jean-Christophe, Pinel, Jean-François, Raoult, Hélène, Mas, Jean-Louis, Meder, Jean-François, Al Najjar-Carpentier, Amen-Adam, Birchenall, Julia, Bodiguel, Eric, Calvet, David, Domigo, Valérie, Godon-Hardy, Sylvie, Guiraud, Vincent, Lamy, Catherine, Majhadi, Loubna, Morin, Ludovic, Naggara, Olivier, Trystram, Denis, Turc, Guillaume, Berge, Jérôme, Sibon, Igor, Menegon, Patrice, Barreau, Xavier, Rouanet, François, Debruxelles, Sabrina, Kazadi, Annabelle, Renou, Pauline, Fleury, Olivier, Pasco-Papon, Anne, Dubas, Frédéric, Caroff, Jildaz, Godard Ducceschi, Sophie, Hamon, Marie-Aurélie, Lecluse, Alderic, Marc, Guillaume, Giroud, Maurice, Ricolfi, Frédéric, Bejot, Yannick, Chavent, Adrien, Gentil, Arnaud, Kazemi, Apolline, Osseby, Guy-Victor, Voguet, Charlotte, Mahagne, Marie-Hélène, Sedat, Jacques, Chau, Yves, Suissa, Laurent, Lachaud, Sylvain, Houdart, Emmanuel, Stapf, Christian, Buffon Porcher, Frédérique, Chabriat, Hugues, Guedin, Pierre, Herve, Dominique, Jouvent, Eric, Mawet, Jérôme, Saint-Maurice, Jean-Pierre, Schneble, Hans-Martin, Nighoghossian, Norbert, Berhoune, Nadia-Nawel, Bouhour, Françoise, Cho, Tae-Hee, Derex, Laurent, Felix, Sandra, Gervais-Bernard, Hélène, Gory, Benjamin, Manera, Luis, Mechtouff, Laura, Ritzenthaler, Thomas, Riva, Roberto, Salaris Silvio, Fabrizio, Tilikete, Caroline, Blanc, Raphael, Obadia, Michaël, Bartolini, Mario Bruno, Gueguen, Antoine, Piotin, Michel, Pistocchi, Silvia, Redjem, Hocine, Drouineau, Jacques, Neau, Jean-Philippe, Godeneche, Gaelle, Lamy, Matthias, Marsac, Emilia, Velasco, Stephane, Clavelou, Pierre, Chabert, Emmanuel, Bourgois, Nathalie, Cornut-Chauvinc, Catherine, Ferrier, Anna, Gabrillargues, Jean, Jean, Betty, Marques, Anna-Raquel, Vitello, Nicolas, Detante, Olivier, Barbieux, Marianne, Boubagra, Kamel, Favre Wiki, Isabelle, Garambois, Katia, Tahon, Florence, Ashok, Vasdev, Coskun, Oguzhan, Rodesch, Georges, Lapergue, Bertrand, Bourdain, Frédéric, Evrard, Serge, Graveleau, Philippe, Decroix, Jean Pierre, Wang, Adrien, Sellal, François, Ahle, Guido, Carelli, Gabriela, Dugay, Marie-Hélène, Gaultier, Claude, Lebedinsky, Ariel Pablo, Lita, Lavinia, Musacchio, Raul Mariano, Renglewicz-Destuynder, Catherine, Tournade, Alain, Vuillemet, Françis, Montoro, Francisco Macian, Mounayer, Charbel, Faugeras, Frederic, Gimenez, Laetitia, Labach, Catherine, Lautrette, Géraldine, Denier, Christian, Saliou, Guillaume, Chassin, Olivier, Dussaule, Claire, Melki, Elsa, Ozanne, Augustin, Puccinelli, Francesco, Sachet, Marina, Sarov, Mariana, Bonneville, Jean-François, Moulin, Thierry, Biondi, Alessandra, De Bustos Medeiros, Elisabeth, Vuillier, Fabrice, Courtheoux, Patrick, Viader, Fausto, Apoil-Brissard, Marion, Bataille, Mathieu, Bonnet, Anne-Laure, Cogez, Julien, Touze, Emmanuel, Leclerc, Xavier, Leys, Didier, Aggour, Mohamed, Aguettaz, Pierre, Bodenant, Marie, Cordonnier, Charlotte, Deplanque, Dominique, Girot, Marie, Henon, Hilde, Kalsoum, Erwah, Lucas, Christian, Pruvo, Jean-Pierre, Zuniga, Paolo, Arquizan, Caroline, Costalat, Vincent, Machi, Paolo, Mourand, Isabelle, Riquelme, Carlos, Bounolleau, Pierre, Arteaga, Charles, Faivre, Anthony, Bintner, Marc, Tournebize, Patrice, Charlin, Cyril, Darcel, Françoise, Gauthier-Lasalarie, Pascale, Jeremenko, Marcia, Mouton, Servane, Zerlauth, Jean-Baptiste, Lamy, Chantal, Hervé, Deramond, Hassan, Hosseini, Gaston, André, Barral, Francis-Guy, Garnier, Pierre, Beaujeux, Rémy, Wolff, Valérie, Herbreteau, Denis, Debiais, Séverine, Murray, Alicia, Ford, Gary, Muir, Keith W, White, Philip, Brown, Martin M, Clifton, Andy, Freeman, Janet, Ford, Ian, Markus, Hugh, Wardlaw, Joanna, Molyneux, Andy, Robinson, Thompson, Lewis, Steff, Norrie, John, Robertson, Fergus, Perry, Richard, Dixit, Anand, Cloud, Geoffrey, Clifton, Andrew, Madigan, Jeremy, Roffe, Christine, Nayak, Sanjeev, Lobotesis, Kyriakos, Smith, Craig, Herwadkar, Amit, Kandasamy, Naga, Goddard, Tony, Bamford, John, Subramanian, Ganesh, Lenthall, Rob, Littleton, Edward, Lamin, Sal, Storey, Kelley, Ghatala, Rita, Banaras, Azra, Aeron-Thomas, John, Hazel, Bath, Maguire, Holly, Veraque, Emelda, Harrison, Louise, Keshvara, Rekha, Cunningham, James, Campbell, Bruce C V, van Zwam, Wim H, Menon, Bijoy K, Dippel, Diederik W J, Demchuk, Andrew M, Bracard, Serge, Dávalos, Antoni, Majoie, Charles B L M, Ford, Gary A, de la Ossa, Natalia Pérez, Kelly, Michael, Bourcier, Romain, Roos, Yvo B W E M, Bang, Oh Young, Nogueira, Raul G, Devlin, Thomas G, Clarençon, Frédéric, Burns, Paul, Carpenter, Jeffrey, Yavagal, Dileep R, Pereira, Vitor Mendes, Quesada, Helena, Epstein, Jonathan, Rubiera, Marta, Urra, Xabier, Micard, Emilien, Brown, Scott, Guillemin, Francis, van Oostenbrugge, Robert J, Jovin, Tudor G, and Hill, Michael D

Published
2018
Full Text
View/download PDF

7. Development and Validation of a Postprocedural Model to Predict Outcome After Endovascular Treatment for Ischemic Stroke.

Author

Chalos, V, Venema, E, Mulder, MJHL, Roozenbeek, B, Steyerberg, EW, Wermer, MJH, Lycklama À Nijeholt, GJ, van der Worp, HB, Goyal, M, Campbell, BCV, Muir, KW, Guillemin, F, Bracard, S, White, P, Dávalos, A, Jovin, TG, Hill, MD, Mitchell, PJ, Demchuk, AM, Saver, JL, van der Lugt, A, Brown, S, Dippel, DWJ, Lingsma, HF, HERMES CollaboratorsMR CLEAN Registry Investigators, Chalos, V, Venema, E, Mulder, MJHL, Roozenbeek, B, Steyerberg, EW, Wermer, MJH, Lycklama À Nijeholt, GJ, van der Worp, HB, Goyal, M, Campbell, BCV, Muir, KW, Guillemin, F, Bracard, S, White, P, Dávalos, A, Jovin, TG, Hill, MD, Mitchell, PJ, Demchuk, AM, Saver, JL, van der Lugt, A, Brown, S, Dippel, DWJ, Lingsma, HF, and HERMES CollaboratorsMR CLEAN Registry Investigators

Abstract

IMPORTANCE: Outcome prediction after endovascular treatment (EVT) for ischemic stroke is important to patients, family members, and physicians. OBJECTIVE: To develop and validate a model based on preprocedural and postprocedural characteristics to predict functional outcome for individual patients after EVT. DESIGN, SETTING, AND PARTICIPANTS: A prediction model was developed using individual patient data from 7 randomized clinical trials, performed between December 2010 and December 2014. The model was developed within the Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials (HERMES) collaboration and external validation in data from the Dutch Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands (MR CLEAN) Registry of patients treated in clinical practice between March 2014 and November 2017. Participants included patients from multiple centers throughout different countries in Europe, North America, East Asia, and Oceania (derivation cohort), and multiple centers in the Netherlands (validation cohort). Included were adult patients with a history of ischemic stroke from an intracranial large vessel occlusion in the anterior circulation who underwent EVT within 12 hours of symptom onset or last seen well. Data were last analyzed in July 2022. MAIN OUTCOME(S) AND MEASURE(S): A total of 19 variables were assessed by multivariable ordinal regression to predict functional outcome (modified Rankin Scale [mRS] score) 90 days after EVT. Variables were routinely available 1 day after EVT. Akaike information criterion (AIC) was used to optimize model fit vs model complexity. Probabilities for functional independence (mRS 0-2) and survival (mRS 0-5) were derived from the ordinal model. Model performance was expressed with discrimination (C statistic) and calibration. RESULTS: A total of 781 patients (median [IQR] age, 67 [57-76] years; 414 men [53%]) constituted the derivation cohort, and 3260 pat

Published
2023

8. Clinical outcome of patients with mild pre-stroke morbidity following endovascular treatment: a HERMES substudy

Author

McDonough, R, Ospel, JM, Majoie, CBLM, Saver, JL, White, P, Dippel, DWJ, Brown, SB, Demchuk, AM, Jovin, TG, Mitchell, PJ, Bracard, S, Campbell, BC, Muir, KW, Hill, MD, Guillemin, F, Goyal, M, McDonough, R, Ospel, JM, Majoie, CBLM, Saver, JL, White, P, Dippel, DWJ, Brown, SB, Demchuk, AM, Jovin, TG, Mitchell, PJ, Bracard, S, Campbell, BC, Muir, KW, Hill, MD, Guillemin, F, and Goyal, M

Abstract

BACKGROUND: Analyses of the effect of pre-stroke functional levels on the outcome of endovascular therapy (EVT) have focused on the course of patients with moderate to substantial pre-stroke disability. The effect of complete freedom from pre-existing disability (modified Rankin Scale (mRS) 0) versus predominantly mild pre-existing disability/symptoms (mRS 1-2) has not been well delineated. METHODS: The HERMES meta-analysis pooled data from seven randomized trials that tested the efficacy of EVT. We tested for a multiplicative interaction effect of pre-stroke mRS on the relationship between treatment and outcomes. Ordinal regression was used to assess the association between EVT and 90-day mRS (primary outcome) in the subgroup of patients with pre-stroke mRS 1-2. Multivariable regression modeling was then used to test the effect of mild pre-stroke disability/symptoms on the primary and secondary outcomes (delta-mRS, mRS 0-2/5-6) compared with patients with pre-stroke mRS 0. RESULTS: We included 1764 patients, of whom 199 (11.3%) had pre-stroke mRS 1-2. No interaction effect of pre-stroke mRS on the relationship between treatment and outcome was observed. Patients with pre-stroke mRS 1-2 had worse outcomes than those with pre-stroke mRS 0 (adjusted common OR (acOR) 0.53, 95% CI 0.40 to 0.70). Nonetheless, a significant benefit of EVT was observed within the mRS 1-2 subgroup (cOR 2.08, 95% CI 1.22 to 3.55). CONCLUSIONS: Patients asymptomatic/without disability prior to onset have better outcomes following EVT than patients with mild disability/symptoms. Patients with pre-stroke mRS 1-2, however, more often achieve good outcomes with EVT compared with conservative management. These findings indicate that mild pre-existing disability/symptoms influence patient prognosis after EVT but do not diminish the EVT treatment effect.

Published
2023

9. Risk factors of unexplained early neurological deterioration after treatment for ischemic stroke due to large vessel occlusion: a post hoc analysis of the HERMES study

Author

Bourcier, R., Goyal, M., Muir, K.W., Desal, H., Dippel, D.W.J., Majoie, C.B.L.M., van Zwam, W.H., Jovin, T.G., Mitchell, P.J., Demchuk, A.M., van Oostenbrugge, R.J., Brown, S.B., Campbell, B., White, P., Hill, M.D., Saver, J.L., Weimar, C., Jahan, R., Guillemin, F., Bracard, S., Naggara, O., HERMES Trialists Collaboration, Bourcier, R., Goyal, M., Muir, K.W., Desal, H., Dippel, D.W.J., Majoie, C.B.L.M., van Zwam, W.H., Jovin, T.G., Mitchell, P.J., Demchuk, A.M., van Oostenbrugge, R.J., Brown, S.B., Campbell, B., White, P., Hill, M.D., Saver, J.L., Weimar, C., Jahan, R., Guillemin, F., Bracard, S., Naggara, O., and HERMES Trialists Collaboration

Abstract

Background: Early neurological deterioration (END) after endovascular treatment (EVT) in patients with anterior circulation acute ischemic stroke (AIS) is associated with poor outcome. END may remain unexplained by parenchymal hemorrhage (UnEND). We aim to analyze the risk factors of UnEND in the medical management (MM) and EVT arms of the HERMES study. Methods: We conducted a post-hoc analysis of anterior AIS patients who underwent EVT for proximal anterior occlusions. Risk factors of UnEND, defined as a worsening of ≥4 points between baseline National Institutes of Health Stroke Scale (NIHSS) and NIHSS at 24 hours without hemorrhage, were compared between both arms using mixed logistic regression models adjusted for baseline characteristics. An interaction analysis between the EVT and MM arms for risk factors of UnEND was conducted. Results: Among 1723 patients assessable for UnEND, 160 patients experienced an UnEND (9.3%), including 9.1% (78/854) in the EVT arm and 9.4% (82/869) in the MM arm. There was no significant difference in the incidence of UnEND between the two study arms. In the EVT population, independent risk factors of UnEND were lower baseline NIHSS, higher baseline glucose, and lower collateral grade. In the MM population, the only independent predictor of UnEND was higher baseline glucose. However, we did not demonstrate an interaction between EVT and MM for baseline factors as risk factors of UnEND. UnEND was, similarly in both treatment groups, a significant predictor of unfavorable outcome in both the EVT (p<0.001) and MM (p<0.001) arms. Conclusions: UnEND is not an uncommon event, with a similar rate which ever treatment arm is considered. In the clinical scenario of AIS due to large vessel occlusion, no patient-related factor seems to increase the risk for UnEND when treated by EVT compared with MM.

Published
2023

15. Clinical outcome of patients with mild pre-stroke morbidity following endovascular treatment: a HERMES substudy

Author

McDonough, R.V., Ospel, J.M., Majoie, C.B.L.M., Saver, J.L., White, P., Dippel, D.W.J., Brown, S.B., Demchuk, A.M., Jovin, T.G., Mitchell, P.J., Bracard, S., Campbell, B.C.V., Muir, K.W., Hill, M.D., Guillemin, F., Goyal, M., HERMES Collaborators, Radiology and Nuclear Medicine, ANS - Neurovascular Disorders, ACS - Microcirculation, Radiology and nuclear medicine, and Neurology

Subjects
thrombectomy, Surgery, Neurology (clinical), General Medicine, stroke
Abstract

BackgroundAnalyses of the effect of pre-stroke functional levels on the outcome of endovascular therapy (EVT) have focused on the course of patients with moderate to substantial pre-stroke disability. The effect of complete freedom from pre-existing disability (modified Rankin Scale (mRS) 0) versus predominantly mild pre-existing disability/symptoms (mRS 1–2) has not been well delineated.MethodsThe HERMES meta-analysis pooled data from seven randomized trials that tested the efficacy of EVT. We tested for a multiplicative interaction effect of pre-stroke mRS on the relationship between treatment and outcomes. Ordinal regression was used to assess the association between EVT and 90-day mRS (primary outcome) in the subgroup of patients with pre-stroke mRS 1–2. Multivariable regression modeling was then used to test the effect of mild pre-stroke disability/symptoms on the primary and secondary outcomes (delta-mRS, mRS 0–2/5–6) compared with patients with pre-stroke mRS 0.ResultsWe included 1764 patients, of whom 199 (11.3%) had pre-stroke mRS 1–2. No interaction effect of pre-stroke mRS on the relationship between treatment and outcome was observed. Patients with pre-stroke mRS 1–2 had worse outcomes than those with pre-stroke mRS 0 (adjusted common OR (acOR) 0.53, 95% CI 0.40 to 0.70). Nonetheless, a significant benefit of EVT was observed within the mRS 1–2 subgroup (cOR 2.08, 95% CI 1.22 to 3.55).ConclusionsPatients asymptomatic/without disability prior to onset have better outcomes following EVT than patients with mild disability/symptoms. Patients with pre-stroke mRS 1–2, however, more often achieve good outcomes with EVT compared with conservative management. These findings indicate that mild pre-existing disability/symptoms influence patient prognosis after EVT but do not diminish the EVT treatment effect.

Published
2022

17. Flow Diversion in the Treatment of Intracranial Aneurysms: A Pragmatic Randomized Care Trial

Author

Raymond, J., primary, Iancu, D., additional, Boisseau, W., additional, Diestro, J.D.B., additional, Klink, R., additional, Chagnon, M., additional, Zehr, J., additional, Drake, B., additional, Lesiuk, H., additional, Weill, A., additional, Roy, D., additional, Bojanowski, M.W., additional, Chaalala, C., additional, Rempel, J.L., additional, O’Kelly, C., additional, Chow, M.M., additional, Bracard, S., additional, and Darsaut, T.E., additional

Published
2022
Full Text
View/download PDF

19. EmboASSIST a new software to help endovascular treatment of brain AVMs

Author

Anxionnat, R, Djebiret, Y, Kerrien, Erwan, Berger, Marie-Odile, Cartier, I, Amelot, S, Trousset, Y, Bracard, S, Département de neuroradiologie diagnostique et thérapeutique [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Recalage visuel avec des modèles physiquement réalistes (TANGRAM), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Department of Algorithms, Computation, Image and Geometry (LORIA - ALGO), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria), General Electric Medical Systems [Buc] (GE Healthcare), and General Electric Medical Systems

Subjects
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Abstract

International audience; EmboASSIST (GE Healthcare) is a new 3D visualization software dedicated to assist AVM embolization. It provides a one-click 3D segmentation of vascular anatomy from CBCT acquisition then dynamically track feeders and simulate virtual injections. These segmented feeders can be displayed on live fluoroscopy facilitating micro catheter navigation. Moreover, 3D MR acquisition may be automatically registered with CBCT acquisition and also displayed on live fluoroscopy.

Published
2022

20. Value of infarct location in the prediction of functional outcome in patients with an anterior large vessel occlusion: results from the HERMES study

Author

Tolhuisen, ML, Ernst, M, Boers, AMM, Brown, S, Beenen, LFM, Guillemin, F, Roos, YBWEM, Saver, JL, van Oostenbrugge, R, Demchuck, AM, van Zwam, W, Jovin, TG, Berkhemer, OA, Muir, KW, Bracard, S, Campbell, BC, Van der Lugt, A, White, P, Hill, MD, Dippel, DWJ, Mitchell, PJ, Goyal, M, Caan, MWA, Marquering, HA, Majoie, CBLM, Tolhuisen, ML, Ernst, M, Boers, AMM, Brown, S, Beenen, LFM, Guillemin, F, Roos, YBWEM, Saver, JL, van Oostenbrugge, R, Demchuck, AM, van Zwam, W, Jovin, TG, Berkhemer, OA, Muir, KW, Bracard, S, Campbell, BC, Van der Lugt, A, White, P, Hill, MD, Dippel, DWJ, Mitchell, PJ, Goyal, M, Caan, MWA, Marquering, HA, and Majoie, CBLM

Abstract

PURPOSE: Follow-up infarct volume (FIV) is moderately associated with functional outcome. We hypothesized that accounting for infarct location would strengthen the association of FIV with functional outcome. METHODS: We included 252 patients from the HERMES collaboration with follow-up diffusion weighted imaging. Patients received endovascular treatment combined with best medical management (n = 52%) versus best medical management alone (n = 48%). FIV was quantified in low, moderate and high modified Rankin Scale (mRS)-relevant regions. We used binary logistic regression to study the relation between the total, high, moderate or low mRS-relevant FIVs and favorable outcome (mRS < 2) after 90 days. The strength of association was evaluated using the c-statistic. RESULTS: Small lesions only occupied high mRS-relevant brain regions. Lesions additionally occupied lower mRS-relevant brain regions if FIV expanded. Higher FIV was associated with a higher risk of unfavorable outcome, as were volumes of tissue with low, moderate and high mRS relevance. In multivariable modeling, only the volume of high mRS-relevant infarct was significantly associated with favorable outcome. The c-statistic was highest (0.76) for the models that included high mRS-relevant FIV or the combination of high, moderate and low mRS-relevant FIV but was not significantly different from the model that included only total FIV (0.75). CONCLUSION: This study confirms the association of FIV and unfavorable functional outcome but showed no strengthened association if lesion location was taken into account.

Published
2022

21. Outcome Prediction Based on Automatically Extracted Infarct Core Image Features in Patients with Acute Ischemic Stroke

Author

Tolhuisen, M.L., Hoving, J.W., Koopman, M.S., Kappelhof, M., Voorst, H. van, Bruggeman, A.E., Demchuck, A.M., Dippel, D.W., Emmer, B.J., Bracard, S., Guillemin, F., Oostenbrugge, R.J. van, Mitchell, P.J., Zwam, W.H. van, Hill, M.D., Roos, Y., Jovin, T.G., Berkhemer, O.A., Campbell, B.C., Saver, J., White, P., Muir, K.W., Goyal, M., Marquering, H.A., Jenniskens, S.F.M., Majoie, C.B.L.M., Caan, M.W., Tolhuisen, M.L., Hoving, J.W., Koopman, M.S., Kappelhof, M., Voorst, H. van, Bruggeman, A.E., Demchuck, A.M., Dippel, D.W., Emmer, B.J., Bracard, S., Guillemin, F., Oostenbrugge, R.J. van, Mitchell, P.J., Zwam, W.H. van, Hill, M.D., Roos, Y., Jovin, T.G., Berkhemer, O.A., Campbell, B.C., Saver, J., White, P., Muir, K.W., Goyal, M., Marquering, H.A., Jenniskens, S.F.M., Majoie, C.B.L.M., and Caan, M.W.

Abstract

Item does not contain fulltext, Infarct volume (FIV) on follow-up diffusion-weighted imaging (FU-DWI) is only moderately associated with functional outcome in acute ischemic stroke patients. However, FU-DWI may contain other imaging biomarkers that could aid in improving outcome prediction models for acute ischemic stroke. We included FU-DWI data from the HERMES, ISLES, and MR CLEAN-NO IV databases. Lesions were segmented using a deep learning model trained on the HERMES and ISLES datasets. We assessed the performance of three classifiers in predicting functional independence for the MR CLEAN-NO IV trial cohort based on: (1) FIV alone, (2) the most important features obtained from a trained convolutional autoencoder (CAE), and (3) radiomics. Furthermore, we investigated feature importance in the radiomic-feature-based model. For outcome prediction, we included 206 patients: 144 scans were included in the training set, 21 in the validation set, and 41 in the test set. The classifiers that included the CAE and the radiomic features showed AUC values of 0.88 and 0.81, respectively, while the model based on FIV had an AUC of 0.79. This difference was not found to be statistically significant. Feature importance results showed that lesion intensity heterogeneity received more weight than lesion volume in outcome prediction. This study suggests that predictions of functional outcome should not be based on FIV alone and that FU-DWI images capture additional prognostic information.

Published
2022

22. Outcome Prediction Based on Automatically Extracted Infarct Core Image Features in Patients with Acute Ischemic Stroke

Author

Tolhuisen, ML, Hoving, JW, Koopman, MS, Kappelhof, M, van Voorst, H, Bruggeman, AE, Demchuck, AM, Dippel, DWJ, Emmer, BJ, Bracard, S, Guillemin, F, van Oostenbrugge, RJ, Mitchell, PJ, van Zwam, WH, Hill, MD, Roos, YBWEM, Jovin, TG, Berkhemer, OA, Campbell, BC, Saver, J, White, P, Muir, KW, Goyal, M, Marquering, HA, Majoie, CB, Caan, MWA, Tolhuisen, ML, Hoving, JW, Koopman, MS, Kappelhof, M, van Voorst, H, Bruggeman, AE, Demchuck, AM, Dippel, DWJ, Emmer, BJ, Bracard, S, Guillemin, F, van Oostenbrugge, RJ, Mitchell, PJ, van Zwam, WH, Hill, MD, Roos, YBWEM, Jovin, TG, Berkhemer, OA, Campbell, BC, Saver, J, White, P, Muir, KW, Goyal, M, Marquering, HA, Majoie, CB, and Caan, MWA

Abstract

Infarct volume (FIV) on follow-up diffusion-weighted imaging (FU-DWI) is only moderately associated with functional outcome in acute ischemic stroke patients. However, FU-DWI may contain other imaging biomarkers that could aid in improving outcome prediction models for acute ischemic stroke. We included FU-DWI data from the HERMES, ISLES, and MR CLEAN-NO IV databases. Lesions were segmented using a deep learning model trained on the HERMES and ISLES datasets. We assessed the performance of three classifiers in predicting functional independence for the MR CLEAN-NO IV trial cohort based on: (1) FIV alone, (2) the most important features obtained from a trained convolutional autoencoder (CAE), and (3) radiomics. Furthermore, we investigated feature importance in the radiomic-feature-based model. For outcome prediction, we included 206 patients: 144 scans were included in the training set, 21 in the validation set, and 41 in the test set. The classifiers that included the CAE and the radiomic features showed AUC values of 0.88 and 0.81, respectively, while the model based on FIV had an AUC of 0.79. This difference was not found to be statistically significant. Feature importance results showed that lesion intensity heterogeneity received more weight than lesion volume in outcome prediction. This study suggests that predictions of functional outcome should not be based on FIV alone and that FU-DWI images capture additional prognostic information.

Published
2022

26. Predictors of cognitive decline and treatment response in a clinical trial on suspected prodromal Alzheimerʼs disease

Author

Teipel, Stefan J., Cavedo, Enrica, Grothe, Michel J., Lista, Simone, Galluzzi, Samantha, Colliot, Olivier, Chupin, Marie, Bakardjian, Hovagim, Dormont, Didier, Dubois, Bruno, Hampel, Harald, Godefroy, O., Deramond, H., Bouyx, Etcharry F., Papon, Pasco A., Dartigues, Jf., Allard, M., Rouaud, O., Ricolfi, F., Moreaud, O., Krainik, A., Pasquier, F., Bomboi, S., Delmaire, C., Couratier, P., Maubon, A., Vighetto, A., Croisile, B., Louis-Tisserand, G., Ceccaldi, M., Girard, N., Michel, B., Peretti, Mp., Touchon, J., Bonafe, A., Benetos, A., Barroche, G., Bracard, S., Vercelletto, M., Auffray, Calvier E., Robert, P., Chanalet, S., Dubois, B., Hampel, H., Dormont, D., Lehericy, S., Hugon, J., Pancrazi, M. P., Reizine, D., Gil, R., Vandermarcq, P., Novella, J. L., Pierot, L., Belliard, S., Carsin, M., Martinaud, O., Gerardin, E., Laurent, B., Barral, Fg., Sellal, F., Ousset, Pj., Puel, M., Ait Ameur, A., Dumas, H., Mondon, K., and Cottier, Jp.

Published
2016
Full Text
View/download PDF

28. Hémorragie sous-arachnoïdienne anévrismale du sujet âgé. Participer à un essai clinique randomisé ?

Author

Proust, F., Bracard, S., Thines, L., Leclerc, X., Penchet, G., Bergé, J., Vignes, J.-R., Irthum, B., Gabrillargues, J., Chazal, J., Bataille, B., Drouinau, J., Mourier, K., Ricolfi, F., Gay, E., Bessou, P., Lonjon, M., Sedat, J., David, P., Lajaunias, P., Morandi, X., Gauvrit, J.-Y., Pelissou, I., Turjman, F., Roche, P.-H., Dufour, H., Levrier, O., Emery, E., Courthéoux, P., Laguarrigue, J., Cognard, C., Civit, T., and Lejeune., J.-P.

Published
2010
Full Text
View/download PDF

30. Prediction of Outcome and Endovascular Treatment Benefit: Validation and Update of the MR PREDICTS Decision Tool

Author

Venema, E., Roozenbeek, B., Mulder, Maxim, Brown, S., Majoie, C., Steyerberg, Ewout W., Demchuk, A.M., Muir, K.W., Davalos, A., Mitchell, P.J., Bracard, S., Berkhemer, O.A., Lycklama, A.N.G.J., Oostenbrugge, R.J. van, Roos, Y., Zwam, W.H. van, Lugt, A. van der, Hill, M.D., White, P., Campbell, B.C., Guillemin, F., Saver, J.L., Jovin, T.G., Goyal, M., Dijk, E.J. van, Boogaarts, H.D., Jenniskens, S.F.M., Meijer, A., Dippel, D.W., Lingsma, H.F., Venema, E., Roozenbeek, B., Mulder, Maxim, Brown, S., Majoie, C., Steyerberg, Ewout W., Demchuk, A.M., Muir, K.W., Davalos, A., Mitchell, P.J., Bracard, S., Berkhemer, O.A., Lycklama, A.N.G.J., Oostenbrugge, R.J. van, Roos, Y., Zwam, W.H. van, Lugt, A. van der, Hill, M.D., White, P., Campbell, B.C., Guillemin, F., Saver, J.L., Jovin, T.G., Goyal, M., Dijk, E.J. van, Boogaarts, H.D., Jenniskens, S.F.M., Meijer, A., Dippel, D.W., and Lingsma, H.F.

Abstract

Item does not contain fulltext, [Figure: see text].

Published
2021

31. Healthy Life-Year Costs of Treatment Speed From Arrival to Endovascular Thrombectomy in Patients With Ischemic Stroke: A Meta-analysis of Individual Patient Data From 7 Randomized Clinical Trials

Author

Almekhlafi, M.A., Goyal, M., Dippel, D.W., Majoie, C., Campbell, B.C., Muir, K.W., Demchuk, A.M., Bracard, S., Guillemin, F., Jovin, T.G., Mitchell, P., White, P., Hill, M.D., Dijk, E.J. van, Jenniskens, S.F.M., Brown, S., Saver, J.L., Almekhlafi, M.A., Goyal, M., Dippel, D.W., Majoie, C., Campbell, B.C., Muir, K.W., Demchuk, A.M., Bracard, S., Guillemin, F., Jovin, T.G., Mitchell, P., White, P., Hill, M.D., Dijk, E.J. van, Jenniskens, S.F.M., Brown, S., and Saver, J.L.

Abstract

Contains fulltext : 238537.pdf (Publisher’s version ) (Closed access), IMPORTANCE: The benefits of endovascular thrombectomy (EVT) are time dependent. Prior studies may have underestimated the time-benefit association because time of onset is imprecisely known. OBJECTIVE: To assess the lifetime outcomes associated with speed of endovascular thrombectomy in patients with acute ischemic stroke due to large-vessel occlusion (LVO). DATA SOURCES: PubMed was searched for randomized clinical trials of stent retriever thrombectomy devices vs medical therapy in patients with anterior circulation LVO within 12 hours of last known well time, and for which a peer-reviewed, complete primary results article was published by August 1, 2020. STUDY SELECTION: All randomized clinical trials of stent retriever thrombectomy devices vs medical therapy in patients with anterior circulation LVO within 12 hours of last known well time were included. DATA EXTRACTION/SYNTHESIS: Patient-level data regarding presenting clinical and imaging features and functional outcomes were pooled from the 7 retrieved randomized clinical trials of stent retriever thrombectomy devices (entirely or predominantly) vs medical therapy. All 7 identified trials published in a peer-reviewed journal (by August 1, 2020) contributed data. Detailed time metrics were collected including last known well-to-door (LKWTD) time; last known well/onset-to-puncture (LKWTP) time; last known well-to-reperfusion (LKWR) time; door-to-puncture (DTP) time; and door-to-reperfusion (DTR) time. MAIN OUTCOMES AND MEASURES: Change in healthy life-years measured as disability-adjusted life-years (DALYs). DALYs were calculated as the sum of years of life lost (YLL) owing to premature mortality and years of healthy life lost because of disability (YLD). Disability weights were assigned using the utility-weighted modified Rankin Scale. Age-specific life expectancies without stroke were calculated from 2017 US National Vital Statistics. RESULTS: Among the 781 EVT-treated patients, 406 (52.0%) were early-treated (

Published
2021

32. Healthy Life-Year Costs of Treatment Speed From Arrival to Endovascular Thrombectomy in Patients With Ischemic Stroke A Meta-analysis of Individual Patient Data From 7 Randomized Clinical Trials

Author

Almekhlafi, MA, Goyal, M, Dippel, DWJ, Majoie, CBLM, Campbell, BCV, Muir, KW, Demchuk, AM, Bracard, S, Guillemin, F, Jovin, TG, Mitchell, P, White, P, Hill, MD, Brown, S, Saver, JL, Almekhlafi, MA, Goyal, M, Dippel, DWJ, Majoie, CBLM, Campbell, BCV, Muir, KW, Demchuk, AM, Bracard, S, Guillemin, F, Jovin, TG, Mitchell, P, White, P, Hill, MD, Brown, S, and Saver, JL

Abstract

IMPORTANCE: The benefits of endovascular thrombectomy (EVT) are time dependent. Prior studies may have underestimated the time-benefit association because time of onset is imprecisely known. OBJECTIVE: To assess the lifetime outcomes associated with speed of endovascular thrombectomy in patients with acute ischemic stroke due to large-vessel occlusion (LVO). DATA SOURCES: PubMed was searched for randomized clinical trials of stent retriever thrombectomy devices vs medical therapy in patients with anterior circulation LVO within 12 hours of last known well time, and for which a peer-reviewed, complete primary results article was published by August 1, 2020. STUDY SELECTION: All randomized clinical trials of stent retriever thrombectomy devices vs medical therapy in patients with anterior circulation LVO within 12 hours of last known well time were included. DATA EXTRACTION/SYNTHESIS: Patient-level data regarding presenting clinical and imaging features and functional outcomes were pooled from the 7 retrieved randomized clinical trials of stent retriever thrombectomy devices (entirely or predominantly) vs medical therapy. All 7 identified trials published in a peer-reviewed journal (by August 1, 2020) contributed data. Detailed time metrics were collected including last known well-to-door (LKWTD) time; last known well/onset-to-puncture (LKWTP) time; last known well-to-reperfusion (LKWR) time; door-to-puncture (DTP) time; and door-to-reperfusion (DTR) time. MAIN OUTCOMES AND MEASURES: Change in healthy life-years measured as disability-adjusted life-years (DALYs). DALYs were calculated as the sum of years of life lost (YLL) owing to premature mortality and years of healthy life lost because of disability (YLD). Disability weights were assigned using the utility-weighted modified Rankin Scale. Age-specific life expectancies without stroke were calculated from 2017 US National Vital Statistics. RESULTS: Among the 781 EVT-treated patients, 406 (52.0%) were early-treated (

Published
2021

33. Automated Final Lesion Segmentation in Posterior Circulation Acute Ischemic Stroke Using Deep Learning

Author

Zoetmulder, R, Konduri, PR, Obdeijn, I, Gavves, E, Isgum, I, Majoie, CBLM, Dippel, DWJ, Roos, YBWEM, Goyal, M, Mitchell, PJ, Campbell, BC, Lopes, DK, Reimann, G, Jovin, TG, Saver, JL, Muir, KW, White, P, Bracard, S, Chen, B, Brown, S, Schonewille, WJ, van der Hoeven, E, Puetz, V, Marquering, HA, Zoetmulder, R, Konduri, PR, Obdeijn, I, Gavves, E, Isgum, I, Majoie, CBLM, Dippel, DWJ, Roos, YBWEM, Goyal, M, Mitchell, PJ, Campbell, BC, Lopes, DK, Reimann, G, Jovin, TG, Saver, JL, Muir, KW, White, P, Bracard, S, Chen, B, Brown, S, Schonewille, WJ, van der Hoeven, E, Puetz, V, and Marquering, HA

Abstract

Final lesion volume (FLV) is a surrogate outcome measure in anterior circulation stroke (ACS). In posterior circulation stroke (PCS), this relation is plausibly understudied due to a lack of methods that automatically quantify FLV. The applicability of deep learning approaches to PCS is limited due to its lower incidence compared to ACS. We evaluated strategies to develop a convolutional neural network (CNN) for PCS lesion segmentation by using image data from both ACS and PCS patients. We included follow-up non-contrast computed tomography scans of 1018 patients with ACS and 107 patients with PCS. To assess whether an ACS lesion segmentation generalizes to PCS, a CNN was trained on ACS data (ACS-CNN). Second, to evaluate the performance of only including PCS patients, a CNN was trained on PCS data. Third, to evaluate the performance when combining the datasets, a CNN was trained on both datasets. Finally, to evaluate the performance of transfer learning, the ACS-CNN was fine-tuned using PCS patients. The transfer learning strategy outperformed the other strategies in volume agreement with an intra-class correlation of 0.88 (95% CI: 0.83-0.92) vs. 0.55 to 0.83 and a lesion detection rate of 87% vs. 41-77 for the other strategies. Hence, transfer learning improved the FLV quantification and detection rate of PCS lesions compared to the other strategies.

Published
2021

34. Prediction of Outcome and Endovascular Treatment Benefit Validation and Update of the MR PREDICTS Decision Tool

Author

Venema, E, Roozenbeek, B, Mulder, MJHL, Brown, S, Majoie, CBLM, Steyerberg, EW, Demchuk, AM, Muir, KW, Davalos, A, Mitchell, PJ, Bracard, S, Berkhemer, OA, Nijeholt, GJLA, van Oostenbrugge, RJ, Roos, YBWEM, van Zwam, WH, van Der Lugt, A, Hill, MD, White, P, Campbell, BC, Guillemin, F, Saver, JL, Jovin, TG, Goyal, M, Dippel, DWJ, Lingsma, HF, Venema, E, Roozenbeek, B, Mulder, MJHL, Brown, S, Majoie, CBLM, Steyerberg, EW, Demchuk, AM, Muir, KW, Davalos, A, Mitchell, PJ, Bracard, S, Berkhemer, OA, Nijeholt, GJLA, van Oostenbrugge, RJ, Roos, YBWEM, van Zwam, WH, van Der Lugt, A, Hill, MD, White, P, Campbell, BC, Guillemin, F, Saver, JL, Jovin, TG, Goyal, M, Dippel, DWJ, and Lingsma, HF

Abstract

BACKGROUND AND PURPOSE: Benefit of early endovascular treatment (EVT) for ischemic stroke varies considerably among patients. The MR PREDICTS decision tool, derived from MR CLEAN (Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands), predicts outcome and treatment benefit based on baseline characteristics. Our aim was to externally validate and update MR PREDICTS with data from international trials and daily clinical practice. METHODS: We used individual patient data from 6 randomized controlled trials within the HERMES (Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials) collaboration to validate the original model. Then, we updated the model and performed a second validation with data from the observational MR CLEAN Registry. Primary outcome was functional independence (defined as modified Rankin Scale score 0–2) 3 months after stroke. Treatment benefit was defined as the difference between the probability of functional independence with and without EVT. Discriminative performance was evaluated using a concordance (C) statistic. RESULTS: We included 1242 patients from HERMES (633 assigned to EVT, 609 assigned to control) and 3156 patients from the MR CLEAN Registry (all of whom underwent EVT within 6.5 hours). The C-statistic for functional independence was 0.74 (95% CI, 0.72–0.77) in HERMES and, after model updating, 0.80 (0.78–0.82) in the Registry. Median predicted treatment benefit of routinely treated patients (Registry) was 10.3% (interquartile range, 5.8%–14.4%). Patients with low (<1%) predicted treatment benefit (n=135/3156 [4.3%]) had low rates of functional independence, irrespective of reperfusion status, suggesting potential absence of treatment benefit. The updated model was made available online for clinicians and researchers at www.mrpredicts.com. CONCLUSIONS: Because of the substantial treatment effect and small potential harm of EVT, most patients arriving within

Published
2021

35. Endovascular Treatment Effect Diminishes With Increasing Thrombus Perviousness Pooled Data From 7 Trials on Acute Ischemic Stroke

Author

Kappelhof, M, Tolhuisen, ML, Treurniet, KM, Dutra, BG, Alves, H, Zhang, G, Brown, S, Muir, KW, Davalos, A, Roos, YBWEM, Saver, JL, Demchuk, AM, Jovin, TG, Bracard, S, Campbell, BC, van der Lugt, A, Guillemin, F, White, P, Hill, MD, Dippel, DWJ, Mitchell, PJ, Goyal, M, Marquering, HA, Majoie, CBLM, Kappelhof, M, Tolhuisen, ML, Treurniet, KM, Dutra, BG, Alves, H, Zhang, G, Brown, S, Muir, KW, Davalos, A, Roos, YBWEM, Saver, JL, Demchuk, AM, Jovin, TG, Bracard, S, Campbell, BC, van der Lugt, A, Guillemin, F, White, P, Hill, MD, Dippel, DWJ, Mitchell, PJ, Goyal, M, Marquering, HA, and Majoie, CBLM

Abstract

BACKGROUND AND PURPOSE: Thrombus perviousness estimates residual flow along a thrombus in acute ischemic stroke, based on radiological images, and may influence the benefit of endovascular treatment for acute ischemic stroke. We aimed to investigate potential endovascular treatment (EVT) effect modification by thrombus perviousness. METHODS: We included 443 patients with thin-slice imaging available, out of 1766 patients from the pooled HERMES (Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke trials) data set of 7 randomized trials on EVT in the early window (most within 8 hours). Control arm patients (n=233) received intravenous alteplase if eligible (212/233; 91%). Intervention arm patients (n=210) received additional EVT (prior alteplase in 178/210; 85%). Perviousness was quantified by thrombus attenuation increase on admission computed tomography angiography compared with noncontrast computed tomography. Multivariable regression analyses were performed including multiplicative interaction terms between thrombus attenuation increase and treatment allocation. In case of significant interaction, subgroup analyses by treatment arm were performed. Our primary outcome was 90-day functional outcome (modified Rankin Scale score), resulting in an adjusted common odds ratio for a one-step shift towards improved outcome. Secondary outcomes were mortality, successful reperfusion (extended Thrombolysis in Cerebral Infarction score, 2B–3), and follow-up infarct volume (in mL). RESULTS: Increased perviousness was associated with improved functional outcome. After adding a multiplicative term of thrombus attenuation increase and treatment allocation, model fit improved significantly (P=0.03), indicating interaction between perviousness and EVT benefit. Control arm patients showed significantly better outcomes with increased perviousness (adjusted common odds ratio, 1.2 [95% CI, 1.1–1.3]). In the EVT arm, no significant association was found (adjusted commo

Published
2021

38. Safety and efficacy of intra-arterial fibrinolytics as adjunct to mechanical thrombectomy: A systematic review and meta-analysis of observational data

Author

Kaesmacher, J. (Johannes), Meinel, T.R. (Thomas Raphael), Kurmann, C. (Christoph), Zaidat, O. (Osama), Castonguay, A.C. (Alicia C.), Zaidi, S.F. (Syed F.), Mueller-Kronast, N. (Nils), Kappelhof, M. (Manon), Dippel, D.W.J. (Diederik), Soudant, M. (Marc), Bracard, S. (Serge), Hill, M.D. (Michael D.), Goyal, M. (Mayank), Strbian, D. (Daniel), Heiferman, D.M. (Daniel M.), Ashley, W. (William), Anadani, M. (Mohammad), Spiotta, A.M. (Alejandro M.), Dobrocky, T. (Tomas), Piechowiak, E.I. (Eike I.), Arnold, M. (Marcel), Goeldlin, M. (Martina), Seiffge, D. (David), Mosimann, P.J. (Pascal J.), Mordasini, P. (Pasquale), Gralla, J., Fischer, U., Kaesmacher, J. (Johannes), Meinel, T.R. (Thomas Raphael), Kurmann, C. (Christoph), Zaidat, O. (Osama), Castonguay, A.C. (Alicia C.), Zaidi, S.F. (Syed F.), Mueller-Kronast, N. (Nils), Kappelhof, M. (Manon), Dippel, D.W.J. (Diederik), Soudant, M. (Marc), Bracard, S. (Serge), Hill, M.D. (Michael D.), Goyal, M. (Mayank), Strbian, D. (Daniel), Heiferman, D.M. (Daniel M.), Ashley, W. (William), Anadani, M. (Mohammad), Spiotta, A.M. (Alejandro M.), Dobrocky, T. (Tomas), Piechowiak, E.I. (Eike I.), Arnold, M. (Marcel), Goeldlin, M. (Martina), Seiffge, D. (David), Mosimann, P.J. (Pascal J.), Mordasini, P. (Pasquale), Gralla, J., and Fischer, U.

Abstract

Background: Achieving the best possible reperfusion is a key determinant of clinical outcome after mechanical thrombectomy (MT). However, data on the safety and efficacy of intra-arterial (IA) fibrinolytics as an adjunct to MT with the intention to improve reperfusion are sparse. Methods: We performed a PROSPERO-registered (CRD42020149124) systematic review and meta-analysis accessing MEDLINE, PubMed, and Embase from January 1, 2000 to January 1, 2020. A random-effect estimate (Mantel-Haenszel) was computed and summary OR with 95% CI were used as a measure of added IA fibrinolytics versus control on the risk of symptomatic intracranial hemorrhage (sICH) and secondary endpoints (modified Rankin Scale ≤2, mortality at 90 days). Results: The search identified six observational cohort studies and three observational datasets of MT randomized-controlled trial data reporting on IA fibrinolytics with MT as compared with MT alone, including 2797 patients (405 with additional IA fibrinolytics (100 urokinase (uPA), 305 tissue plasminogen activator (tPA)) and 2392 patients without IA fibrinolytics). Of 405 MT patients treated with additional IA fibrinolytics, 209 (51.6%) received prior intravenous tPA. We did not observe an increased risk of sICH after administration of IA fibrinolytics as adjunct to MT (OR 1.06, 95% CI 0.64 to 1.76), nor excess mortality (0.81, 95% CI 0.60 to 1.08). Although the mode of reporting was heterogeneous, some studies observed improved reperfusion after IA fibrinolytics. Conclusion: The quality of evidence regarding peri-interventional administration of IA fibrinolytics in MT is low and limited to observational data. In highly selected patients, no increase in sICH was observed, but there is large uncertainty.

Published
2020
Full Text
View/download PDF

39. Public Health and Cost Benefits of Successful Reperfusion After Thrombectomy for Stroke

Author

Kunz, W.G. (Wolfgang), Almekhlafi, M. (Mohammed), Menon, B.K. (Bijoy K.), Saver, J.L. (Jeffery L.), Hunink, M.G. (Myriam G.), Dippel, D.W.J. (Diederik), Majoie, C.B.L.M. (Charles B L M), Liebeskind, D.S. (David S.), Jovin, T.G. (Tudor G.), Davalos, A. (Antoni), Bracard, S. (Serge), Guillemin, F. (Francis), Campbell, B.C.V. (Bruce C. V.), Mitchell, P.J. (Peter J.), White, P. (Philip), Muir, K.W. (Keith), Brown, S. (Scott), Demchuk, A.M. (Andrew), Hill, M.D. (Michael D.), Goyal, M. (Mayank), Kunz, W.G. (Wolfgang), Almekhlafi, M. (Mohammed), Menon, B.K. (Bijoy K.), Saver, J.L. (Jeffery L.), Hunink, M.G. (Myriam G.), Dippel, D.W.J. (Diederik), Majoie, C.B.L.M. (Charles B L M), Liebeskind, D.S. (David S.), Jovin, T.G. (Tudor G.), Davalos, A. (Antoni), Bracard, S. (Serge), Guillemin, F. (Francis), Campbell, B.C.V. (Bruce C. V.), Mitchell, P.J. (Peter J.), White, P. (Philip), Muir, K.W. (Keith), Brown, S. (Scott), Demchuk, A.M. (Andrew), Hill, M.D. (Michael D.), and Goyal, M. (Mayank)

Abstract

Background and Purpose- The benefit that endovascular thrombectomy offers to patients with stroke with large vessel occlusions depends strongly on reperfusion grade as defined by the expanded Thrombolysis in Cerebral Infarction (eTICI) scale. Our aim was to determine the lifetime health and cost consequences of the quality of reperfusion for patients, healthcare systems, and society. Methods- A Markov model estimated lifetime quality-adjusted life years (QALY) and lifetime costs of endovascular thrombectomy-treated patients with stroke based on eTICI grades. The analysis was performed over a lifetime horizon in a United States setting, adopting healthcare and societal perspectives. The reference case analysis was conducted for stroke at 65 years of age. National health and cost consequences of improved eTICI 2c/3 reperfusion rates were estimated. Input parameters were based on best available evidence. Results- Lifetime QALYs increased for every grade of improved reperfusion (median QALYs for eTICI 0/1: 2.62; eTICI 2a: 3.46; eTICI 2b: 5.42; eTICI 2c: 5.99; eTICI 3: 6.73). Achieving eTICI 3 over eTICI 2b reperfusion resulted on average in 1.31 incremental QALYs as well as healthcare and societal cost savings of $10 327 and $20 224 per patient. A 10% increase in the eTICI 2c/3 reperfusion rate of all annually endovascular thrombectomy-treated patients with stroke in the United States is estimated to yield additional 3656 QALYs and save $21.0 million and $36.8 million for the healthcare system and society, respectively. Conclusions- Improved reperfusion grants patients with stroke additional QALYs and leads to long-term cost savings. Procedural strategies to achieve complete reperfusion should be assessed for safety and feasibility, even when initial reperfusion seems to be adequate.

Published
2020
Full Text
View/download PDF

40. Automatic segmentation of cerebral infarcts in follow-up computed tomography images with convolutional neural networks

Author

Barros, RS, Tolhuisen, ML, Boers, A, Jansen, I, Ponomareva, E, Dippel, DWJ, van der Lugt, A, van Oostenbrugge, RJ, van Zwam, WH, Berkhemer, OA, Goyal, M, Demchuk, AM, Menon, BK, Mitchell, P, Hill, MD, Jovin, TG, Davalos, A, Campbell, BC, Saver, JL, Roos, YBWEM, Muir, KW, White, P, Bracard, S, Guillemin, F, Olabarriaga, SD, Majoie, CBLM, Marquering, HA, Barros, RS, Tolhuisen, ML, Boers, A, Jansen, I, Ponomareva, E, Dippel, DWJ, van der Lugt, A, van Oostenbrugge, RJ, van Zwam, WH, Berkhemer, OA, Goyal, M, Demchuk, AM, Menon, BK, Mitchell, P, Hill, MD, Jovin, TG, Davalos, A, Campbell, BC, Saver, JL, Roos, YBWEM, Muir, KW, White, P, Bracard, S, Guillemin, F, Olabarriaga, SD, Majoie, CBLM, and Marquering, HA

Abstract

BACKGROUND AND PURPOSE: Infarct volume is a valuable outcome measure in treatment trials of acute ischemic stroke and is strongly associated with functional outcome. Its manual volumetric assessment is, however, too demanding to be implemented in clinical practice. OBJECTIVE: To assess the value of convolutional neural networks (CNNs) in the automatic segmentation of infarct volume in follow-up CT images in a large population of patients with acute ischemic stroke. MATERIALS AND METHODS: We included CT images of 1026 patients from a large pooling of patients with acute ischemic stroke. A reference standard for the infarct segmentation was generated by manual delineation. We introduce three CNN models for the segmentation of subtle, intermediate, and severe hypodense lesions. The fully automated infarct segmentation was defined as the combination of the results of these three CNNs. The results of the three-CNNs approach were compared with the results from a single CNN approach and with the reference standard segmentations. RESULTS: The median infarct volume was 48 mL (IQR 15-125 mL). Comparison between the volumes of the three-CNNs approach and manually delineated infarct volumes showed excellent agreement, with an intraclass correlation coefficient (ICC) of 0.88. Even better agreement was found for severe and intermediate hypodense infarcts, with ICCs of 0.98 and 0.93, respectively. Although the number of patients used for training in the single CNN approach was much larger, the accuracy of the three-CNNs approach strongly outperformed the single CNN approach, which had an ICC of 0.34. CONCLUSION: Convolutional neural networks are valuable and accurate in the quantitative assessment of infarct volumes, for both subtle and severe hypodense infarcts in follow-up CT images. Our proposed three-CNNs approach strongly outperforms a more straightforward single CNN approach.

Published
2020

41. Public Health and Cost Benefits of Successful Reperfusion After Thrombectomy for Stroke

Author

Kunz, WG, Almekhlafi, MA, Menon, BK, Saver, JL, Hunink, MG, Dippel, DWJ, Majoie, CBLM, Liebeskind, DS, Jovin, TG, Davalos, A, Bracard, S, Guillemin, F, Campbell, BCV, Mitchell, PJ, White, P, Muir, KW, Brown, S, Demchuk, AM, Hill, MD, Goyal, M, Kunz, WG, Almekhlafi, MA, Menon, BK, Saver, JL, Hunink, MG, Dippel, DWJ, Majoie, CBLM, Liebeskind, DS, Jovin, TG, Davalos, A, Bracard, S, Guillemin, F, Campbell, BCV, Mitchell, PJ, White, P, Muir, KW, Brown, S, Demchuk, AM, Hill, MD, and Goyal, M

Abstract

Background and Purpose- The benefit that endovascular thrombectomy offers to patients with stroke with large vessel occlusions depends strongly on reperfusion grade as defined by the expanded Thrombolysis in Cerebral Infarction (eTICI) scale. Our aim was to determine the lifetime health and cost consequences of the quality of reperfusion for patients, healthcare systems, and society. Methods- A Markov model estimated lifetime quality-adjusted life years (QALY) and lifetime costs of endovascular thrombectomy-treated patients with stroke based on eTICI grades. The analysis was performed over a lifetime horizon in a United States setting, adopting healthcare and societal perspectives. The reference case analysis was conducted for stroke at 65 years of age. National health and cost consequences of improved eTICI 2c/3 reperfusion rates were estimated. Input parameters were based on best available evidence. Results- Lifetime QALYs increased for every grade of improved reperfusion (median QALYs for eTICI 0/1: 2.62; eTICI 2a: 3.46; eTICI 2b: 5.42; eTICI 2c: 5.99; eTICI 3: 6.73). Achieving eTICI 3 over eTICI 2b reperfusion resulted on average in 1.31 incremental QALYs as well as healthcare and societal cost savings of $10 327 and $20 224 per patient. A 10% increase in the eTICI 2c/3 reperfusion rate of all annually endovascular thrombectomy-treated patients with stroke in the United States is estimated to yield additional 3656 QALYs and save $21.0 million and $36.8 million for the healthcare system and society, respectively. Conclusions- Improved reperfusion grants patients with stroke additional QALYs and leads to long-term cost savings. Procedural strategies to achieve complete reperfusion should be assessed for safety and feasibility, even when initial reperfusion seems to be adequate.

Published
2020

42. Retrobulbar Optic Neuritis Associated with Tacrolimus Decrease after Allogeneic hematopoietic Stem Cell Transplantation for Acute Myeloblastic Leukemia Patient

Author

D’Aveni-Piney M, Pittion-Vouyovitch S, Angioi K, Bonmati C, Schulmann S, Ranta D, Detrait M, Bracard S, Cécile Pochon, Perrot A, Colne J, Gabrielle Roth-Guepin, and Trechot F

Subjects
Pathology, medicine.medical_specialty, surgical procedures, operative, Acute myeloblastic leukemia, business.industry, medicine.medical_treatment, Medicine, chemical and pharmacologic phenomena, Hematopoietic stem cell transplantation, business, medicine.disease, Retrobulbar optic neuritis, Tacrolimus
Abstract

Neurological complications are common after allogeneic hematopoietic stem cell transplantation (HSCT) but it is often difficult to define the cause among infections, Graft- versus-Host Disease (GvHD), adverse effects from medications or nervous system disease (for instance autoimmune disease). We describe a rare case of ocular GvHD associated with the reduction of tacrolimus in a female patient, three months after allogeneic HSCT for acute myeloblastic leukemia in second remission. The multidisciplinary investigations led to the diagnosis of retrobulbar optic neuritis associated with the expression of auto (allo)immune markers. Quickly after rising dosage of tacrolimus to therapeutic level, the ocular symptoms disappeared without relapse thereafter.

Published
2018

48. Functional outcome 1 year after aneurysmal subarachnoid hemorrhage due to ruptured intracranial aneurysm in elderly patients

Author

Proust, F., primary, Bracard, S., additional, Thines, L., additional, Pelissou-Guyotat, I., additional, Leclerc, X., additional, Penchet, G., additional, Bergé, J., additional, Morandi, X., additional, Gauvrit, J.-Y., additional, Mourier, K., additional, Ricolfi, F., additional, Lonjon, M., additional, Sedat, J., additional, Bataille, B., additional, Drouineau, J., additional, Civit, T., additional, Magro, E., additional, Cebula, H., additional, Chassagne, P., additional, David, P., additional, Emery, E., additional, Gaberel, T., additional, Vignes, J.R., additional, Aghakani, N., additional, Troude, L., additional, Gay, E., additional, Roche, P.H., additional, Irthum, B., additional, and Lejeune, J.-P., additional

Published
2020
Full Text
View/download PDF

50. Auteurs

Author

Aboyans, V., primary, Airapetian, N., additional, Alison, D., additional, Antoine, V., additional, Anxionnat, R., additional, Arrivé, L., additional, Azizi, L., additional, Balu, M., additional, Beydon, L., additional, Bollaert, P.E., additional, Bonadona, A., additional, Bouhours, G., additional, Bracard, S., additional, Bricault, I., additional, Brivet, F.-G., additional, Carette, M.-F., additional, Carlier, J.-P., additional, Cottier, J.-P., additional, Doddoli, C., additional, Domengie, F., additional, Duclos, B., additional, Dupas, B., additional, Embriaco, N., additional, Fartoukh, M., additional, Foscolo, S., additional, Frénoy, E., additional, Frija, J., additional, Galanaud, D., additional, Guervilly, C., additional, Guidoux, C., additional, Hazzan, M., additional, Herbreteau, D., additional, Holzapfel, L., additional, Jacobs, F.-M., additional, Kerviler, E. de, additional, Khalil, A., additional, Korzec, J., additional, Lacombe, C., additional, Laissy, J.-P., additional, Legras, A., additional, Lemaitre, L., additional, Lewin, M., additional, Lichtenstein, D.A., additional, Lutun, P., additional, Maître, S., additional, Marchand, B., additional, Marsault, C., additional, Mayaud, C., additional, Nataf, F., additional, Noël, C., additional, Papazian, L., additional, Pascaud, J.-L., additional, Perrotin, D., additional, Provot, F., additional, Puech, P., additional, Pynn, S., additional, Ramos-Taboada, L., additional, Régnier, B., additional, Ridereau, Zins C., additional, Roch, A., additional, Samy, Modeliar S., additional, Schmitt, E., additional, Scotto, B., additional, Sharshar, T., additional, Slama, M., additional, Smadja, C., additional, Sonneville, R., additional, Souday, V., additional, Tchénio, X., additional, Tenaillon, A., additional, Timsit, J.-F., additional, Veillon, F., additional, Vignon, P., additional, and Wolff, M., additional

Published
2007
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results