72 results on '"J. Montalt"'
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2. Fourth meeting of the European Neurological Society 25–29 June 1994 Barcelona, Spain
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H. Hattig, C. Delli Pizzi, M. C. Addonizio, Michelle Davis, A. R. Giovagnoli, L. Florensa, M. Roth, J. de Kruijk, Francisco Lacruz, Ph. Dewailly, A. Toygar, C. Avendano, P.P. De Deyn, J. F. Hurtevent, F. Lomeila, T. W. Wong, Gordon T. Plant, M. Bud, H. J. Willison, DH Miller, D. W. Langdon, R. Cioni, J. Servan, A. Kaygisiz, E. Racadot, D. B. Schens, E. Picciola, L. Falip, C. Bouchard, J. Jotova, A. Jorge-Santamaria, P. Misra, A. Dufour, C. P. Panagopoulos, A. Venneri, B. Sredni, B. Angelard, M. Janelidze, M. Carreno, J. Obenberger, J. Pouget, H. W. Moser, R. Kaufmann, J. A. Molina, D. Linden, A. Martin Urda, E. Uvestad, A. Krone, J. P. Cochin, J. Mallecourt, A. Cambon-Thomsen, K. Violleau, P. Osschmann, A. M. Durocher, E. Bussaglia, D. M. Danielle, H. Efendi, C. Van Broeckhoven, K. G. Jordan, W. Rautenberg, C. Iniguez, J. M. Delgado, Graham Watson, M. Lawden, Gareth J. Barker, K. Stiasny, James T. Becker, G. Campanella, E. Peghi, A. Poli, A. Haddad, T. Yamawaki, Giacomo P. Comi, S. Sotgiu, B. Ersmark, A. Pomes, M. Ziegler, P. Ferrante, P. Ruppi, H. KuÇukoglu, R. Bouton, U. K. Rinne, P. Vieregge, M. Dary, P. Giunti, Peter J. Goadsby, S. Jung, E. Secor, A. Steinberg, N. Vila, M. A. Hernandez, M. Cursi, A. Enqelhardt, A. Engelhardt, J. Veitch, F. Di Silverio, F. Arnaud, B. Neundörfer, R. Brucher, Dominique Caparros-Lefebvre, B. Meyer, Marianne Dieterich, M. H. Snidaro, R. Gomez, R. Cerbo, M. Ragno, J. M. Vance, S. Nemni, A. Caliskan, F. Barros, I. Velcheva, D. Ceballos-Baumann, V. Barak, A. Avila, N. Antonova, F. Resche, S. Pappata, L. Varela, S. R. Silveira Santos, A. Cammarota, L. Naccache, Y. Nara, E. Tournier-Lasserves, R. Mobner, T. Chase, A. Ensenyat, J. Ulrich, G. Giegerich, M. Rother, M. Revilla, N. Nitschke, K. Honczarenko, E. Basart Tarrats, J. Blin, B. Jacob, J. Santamaria, S. Knezevic, J. L. Castillo, M. Antem, J. Colomer, O. Busse, Didier Hannequin, S. Carrier, J. B. Ruidavets, C. Rozman, J. Bogoussslavsky, J. Pascual Calvet, E. Monros, J. M. Polo, M. Zucconl, Javier Muruzabal, R. R. Allen, R. Rivolta, K. Haugaard, A. Nespolo, K. Hoang-Xuang, G. Bussone, T. Avramidis, E. Corsini, Christiana Franke, T. Vinogradova, H. Boot, K. Vestergaard, G. H. Jansen, N. Argentino, M. Raltzig, W. Linssen, Mark B. Pepys, P. Roblot, L. Lauritzen, E. Fainardi, D. Morin, T. X. Arbizu Urdiain, J. Wollenhaupt, S. Bostantjopoulou, G. Pavesi, A. D. Forman, Giovanni Fabbrini, D. Jean, J. J. Archelos, M. I. Blanchs, M. Del Gobbo, Anna Carla Turconi, Ch. Derouesné, Elio Scarpini, A. Visbeck, P. Castejon, J. P. Renou, F. Mounier-Vehier, G. Potagas, Ch. Duyckaerts, A. Filla, R. Schneider, G. Ronen, K. Nagata, J. P. Vedel, A. Henneberg, G. van Melle, C. Baratti, H. Knott, M. C. Prevett, A. Bes, B. Metin, Jos V. Reempts, L. Martorell, Mefkure Eraksoy, H. O. Handwerker, D. S. Younger, O. Oktem, D. Frongillo, C. Soriano-Soriano, L. Niehaus, F. Zipp, A. Tartaro, S Newman, R. H. Browne, P. Davous, R. Sanchez, M. Muros, M. E. Kornhuber, A. Lavarone, M. Mohr, M. R. Garcia, S. Russell, H. Kellar-Wood, M. R. Tola, B. Ostermeyer, Ch. Tzekov, K. Sartor, E. B. Ringelstein, P. P. Gazzaniga, Paul Krack, H. Fidaner, H. Rico, T. Dbaiss, F. Alameda, E. Torchiana, L. Rumbach, I. Charques, J. M. Bogaard, C. D. Frith, L. J. Rappelle, R. Brenner, A. Joutel, K. Fuxe, G. HÄcker, M. J. Blaser, J. Valls-SolÇ, G. Ulm, M. Alberdi, A. Bock, F. W. Bertelsmann, U. Wieshmann, J. Visa, J. R. Lupski, D. D'Amico, L. M. P. Ramos, A. A. Vanderbark, R. Horn, M. Warmuth, Dietmar Kühne, Mark S. Palmer, C. Ehrenheim, E. Canga, S. Viola, O. Scarpino, P. Naldi, R. Almeida, A. A. Raymond, J. Gamez, Stephan Arnold, A. DiGiovanni, J. Dalmau, C. C. Chari, H. F. Beer, J. C. Koetsier, J. Iriarte, E. Yunis, J. Casadevall, E. Le Guern, E. Stenager, S. R. Benbadis, J. M. Warter, F. Burklin, I. Theodorou, L. Johannesen, G. A. Graveland, X. Leclerc, I. Vecchio, L. Ozelius, G. Nicoletti, R. K. Gherardi, E. Esperet, M. L. Delodovici, F. Cattin, F. Paiau, Giorgio Sacilotto, C. A. J. Broere, D. Chavdarov, J. P. Willmer, C. H. Hawkes, Th. Naegele, E. Ellie, E. Dartigues, M. J. Guardiola, S. Hesse, Z. Levic, Marco Rovaris, P. Saugeir-Veber, B. A. Yaqub, H. F. Durwen, R. Larumbe, J. Ballabrina, M. Sendtner, J. Röther, M. Horstink, C. Kluglein, M.P. Montesi, H. Apaydin, J. Montoya, E. Waubant, Ch. Verellen-Dunoulin, A. Nicolai, J. Lopez-Delval, R. Lemon, G. Cantinho, E. Granieri, A. Zeviani, Wolfgang H. Oertel, U. Ficola, V. Di Piero, V. Fragola, K. Sabev, M. V. Guitera, I. Turki, F. Bolgert, P. Ingrand, J. M. Gobernado, L. M. E. Grimaldi, S. Baybas, B. Eymard, Y. Rolland, Y. Robitaille, Ta. Pampols, P. J. Koehler, A. Carroacedo, J. Vilchez, S. Di Vittorio, I. R. Rise, T. Nagy, M. Kuffner, E. Palazzini, A. Ott, J. Pruim, T. X. Arbizu, E. Manetti, C. Cervera, S. Felber, G. Gursoy, J. Scholz, G. A. Buscaino, M. S. Chen, A. Pascual, J. Hazan, J. U. Gajda, J. G. Cea, G. Bottini, G. Damalik, F. Le Doze, G. Bonaldi, J. M. Hew, C. Messina, A. M. Kennedy, J. M. Carney, N. M. F. Murray, M. Parent, M. Koepp, V. Dimova, D. De Leo, K. Jellinger, G. Salemi, S. Mientus, M. L. Hansen, F. Mazzucchelli, J. Vieth, M. Mauri, E. Bartels, L. Johannsen, C. Humphreys, J. Emile, D. N. Landon, E. Kansu, R. Sanchez-Pernaute, Rsj Frackowiak, M. Gonzalez Torres, L. Oller, C. Machedo, J. Kother, M. Billiard, H. Durak, T. Schindler, A. Frank, A. Uncini, A. Sbriccoli, C. Farinas, D. W. Paty, N. Fast, A. T. Zangaladze, A. Kerkhofs, J. M. Pino Garcia, I. De la Fuente, B. Marini, L. Gomez, I. Rubio, Alessandra Bardoni, C. Brodie, P. Acin, U. Sliwka, S. A. Hawkins, S. Tardieu, F. Vitullo, J. M. Pereira Monteino, R. Gagliardi, T. Jezewski, A. Cano, T. Lempert, F. Abad Alegria, G. Rotondo, D. Ince, C. Martinez Parra, Y. Huang, H. Luders, Y. Steinvil, F. G. A. Van Der Meche, R. Bianchi, A. Sanchez, T. Sevilla, J. M. Ketelslegers, A. Domzal-Stryga, M. Pandolfo, M. O. Josse, K. W. Neff, I. Blanco, G. W. Bruyn, O. W. Witte, J. L. Thibault, G. Andersen, J. Pariset, A. Marcone, R. J. M. Lane, A. Hofman, M. Verin, T. Matilla, P. Bedoucha, J. Roche, M. Lai, M. Collard, A. Ugarte, F. Gallecho, D. Silbersweig, C. Kennard, J. P. Azulay, T. W. Ho, P. L. I. Dellemijn, R. Girardello, F. Baas, B. Voss, F. Rozenberg, E. M. Brocker, V. Stanev, A. A. J. Soeterboek, A. Marra, A. Rey, E. Ertem, M. Sawradewicz-Rybak, J. De Keyser, P. Cavallari, F. Proust, Y. Chevalier, H. C. Hansen, D. Leys, C. A. Davie, K. Hoang-Xuan, C. Bairati, H. van Crevel, Thomas T. Warner, B. Bompais, A. Dobbeleir, T Campbell, C. Macko, C. J. M. Klijn, M. Dussallant, T. P. Berlit, W. Rozenbaum, M. J. van den Bent, W. A. Rocca, M. Muller, H. Hundemer, U. Zifko, M. Campera, F. Drislane, D. Ranoux, T. M. Kloss, Anil Kumar, I. Ruolt, C. Bargnani, B. Marescau, N. A. Losseff, S. Notermans, B. Kint, E. T. Burke, C. Aykut, J. Matias Guiu, P. Maquet, T. Drogendijk, M. Leone, K. von Ammon, M. Pepeliarska, C. Prados, L. DiGiamberardino, T. Logtenberg, G. Lenoir, I. Castaldo, Damhaut, M. Radionova, G. Sirabian, R. Navon, Giovanni Antonini, K. Al Moutaery, E. Chamas, R. Schönhuber, M. Giannini, B. Debilly, I. Labatut, H. Henon, J. A. Egido, M. Baudrimont, J. N. Lorenzo, J. E. C. Bromberg, R. Antonacci, J. J. Vilchez, T. Moulin, B. Rautenstrauss, Giovanni Meola, J. Noth, S Mammi, P. Laforet, F. Lopez, C. Gehring, S. Bort, G. Rancurel, D. Decamps, S. Kostadinova, Y. Shapira, B. Neundoerfer, D. Chavrot, M. Solimena, J. P. Salier, W. Deberdt, R. Hoff-Jörgensen, A. Messina, S. Meairs, G. Rosoklija, E. Nelis, I. Bertran, C. Ertekin, J. Lohmeyer, Mitermayer Galvao dos Reis, L. Calo, E. Maccagnano, A. P. Hays, J. Verlooy, M. G. Forno, T. Blanco, L. Bail, Gabriella Silvestri, J. Montero, F. Bertrand, R. T. Ghnassia, C. Besses, T. Sereghy, F. Shalit, G. Bogliun, S. Braghi, St. Baykouchev, C. Franke, A. Lasa, L. C. Archard, J. Kriebel, S. Shaunak, M. Nocito, Alexander Tsiskaridze, E. Manfredini, T. Seigal, David G. Gadian, M. Barlas, J. D. Degos, C. Seeber, J. Caemert, J. L. Mas, R. B. Pepinsky, M. G. D'Angelo, N. Baumann, S. Yorifuji, H. P. Endtz, M. A. Cassatella, R. A. C. Hughes, V. Golzi, A. Bittencourt, A. Ferreira, M. Sanson, C. Alper, M. Vermeulen, M. A. A. van Walderveen, E. Alexiou, C. H. Lucas, M. Fiorelli, Y. N. Debbink, R. Gil, S. Congia, T. Banerjee, J. M. Bouchard, A. N. Pinto, A. Ceballos-Baumann, G. Grollier, P. I. M. Schmitz, M. D. Catata, N. Lahat, N. S. Rao, P. Papathanasopoulos, J. Valls-Solé, D. Claus, G. Schroter, A. Castro, C. Videbaek, R. Martinez Dreke, A. D. Platts, M. Hermesl, A. C. PeÇanha-Martins, M. Cardoso Silva, P. Masnou, M. J. A. Tanner, Ch. Confavreux, B. Mishu, H. Rasmussen, L. Valenciano, Carlo Pozzilli, S. W. Li, V. Salzman, Y. Vashtang, Massimo Franceschi, M. Severo, G. Deuschl, S. Setien, G. Mariani, A. Protti, J. Castillo, M. J. B. Taphoorn, M. Frontali, I. Milonas, D. Decoq, J. A. Navarro, S. Castellvi-Pel, C. Ertikin, M. Urtasun, Y. Lajat, B. E. Kendall, E. Verdu, B. Gueguen, E. Boisen, R. Couderc, A Danek, JM Stevens, F. Nicoli, L. Feltri, M. L. Vazquez-Andre, J. A. Morgan-Hughes, L. D'Angelo, F. Y. Liew, L. F. Pascual, J. Patrignani Ochoa, Vittorio Martinelli, J. Cophignon, L. Zhang, S. Martin, J. F. Meder, H. C. Buschmann, L. Bertin, J. van Gijn, A. Barreiro, A. Cools, C. Leon, A. Berod, E. A. Anllo, E. Zanette, L. Petrov, R. Barona, B. Gallicchio, P. J. Cozzone, N. Diederich, G. Cancel, L. Schelosky, P. Orizaola, K. Yulug, S. Ozer, Valeria A. Sansone, B. Guiraud-Chaumeil, K. Voigt, P. Labauge, M. Eoli, J. Zhu, J. Aguirre, M. Ferrarini, B. Zyluk, E. Planas, A. Cadilha, C. Tortorella, H. Bismuth, C. E. Counsell, A. Laun, A. Ferlini, Rio J. Montalban, N. Biary, L. Becker, M. Fardeau, M. Poloni, V. M. S. de Bruin, C. Fornada, J. Barros, E. Ganzmann, E. Touze, D. Wallach, J. Peila, H. Fujimura, M. T. Iba-Zizen, G. Macchi, C. Villoslada, R. Gouider, Ph. Rondepierre, P. Grummich, P. Chiodi, C. Conte, M. Michels, P. Annunziata, G. Semana, C. Sommer, J. Vajsar, D. Zekin, J. Kulisevsky, David G. Munoz, B. Jacotot, M. Magoni, A. Luxen, T. Garcia-Silva, S. Di Cesare, Christophe Tzourio, M. Gomori, I. Picomell, L. Santoro, F. Villa, Giovanni Pennisi, T. Ribalta, J. M. Molto, L. Marzorati, P. Loiseau, F. Gemignani, A. Gironell, J. Wissel, A. Prusinski, F. Cailloux, P. Villanueva-Hemandez, P. Cozzone, T. Del Ser, J. Sans-Sabrafen, M. Zappia, P. W. A. Willems, G. Tchernia, D. Gardeur, R. Bauer, F. Palomo, H. Metz, S. Lamoureux, C. Chastang, I. Reinhard, A. Goldfarb, S. Harder, Jordi Río, C. Ozkara, E. Tekinsoy, P. Vontobell, J. De Recondo, M. Rabasa, L. Lacomblez, F. Boon, Dgt Thomas, V. Palma, Renato Mantegazza, A. Dervis, M. Nueckel, B. YalÇinerner, I. Duran, G. Dalla Volta, A. Zubimendi, J. Pinheiro, A. Marbini, Xavier Montalban, H. Wekerle, X. Pereira Monteino, F. Crespo, F. Koskas, N. Battistini, C. Ruiz, H. Offner, J. de Pommery, P. Kanovsky, J. Y. Barnett, J. Pardo, G. Tomei, R. Rene, H. M. Lokhorst, P. Thajeb, H. Bilgin, D. McGehee, R. Fahsold, L. Morgante, Katie Sidle, C. Delwaide, M. N. Diaye, P. H. Rice, A. Creange, C. Sabev, K. Stephan, K. WeilBenborn, G. Magnani, L. Grymonprez, F. Cardellach, M. Kaps, N. G. Meco, F. Vega, V. Bonifati, A. Desomer, M. Baldy-Moulinier, G. Kvale, F. J. Authier, B. Yegen, T. Ho, J. M. Rozet, E. A. Cabanis, L. Bruce, L. Ambrosoli, M. A. Petrella, M. Hernandez, P. Timmings, H. B. van der Worp, F. Mahieux, A. Urbano-Marquez, D. A. Krendel, A. A. Garcia, R. Divari, R. Michalowicz, M. R. Piedmonte, M. Bondavalli, M. Zanca, P. F. Ippel, Onofre Combarros, B. Tavitian, E. Hirsch, I. Anastasopoulos, A. Roses, A. Köhler, P. Vienna, V. Timmerman, P. Sergi, F. Cornelio, A. Di Pasquale, R. Verleger, S. Castellvirel, J. Proano, B. van Moll, F. Rubio, W. Hacke, I. Lavenu, L. Zetta, M. W. Tas, N. Bittmann, M. Bonamini, O. R. Hommes, V. Dousset, N. Afsar, S. Belal, R. R. Myers, J. Goes, Giuseppe Vita, E. Clementi, V. G. Karepov, M. Jueptner, A Vincent, P. Emmrich, Th. Heb, A. Caballo, J. Gallego, T. Mokrusch, C. Perla, L. Gebuhrer, O. Titlbach, Alessandro Prelle, A. Czlonkowska, M. Russo, D. Hadjiev, T. S. Chkhikvishvili, M. Oehlschlager, G. Becker, I. Günther, E. N. Stenager, J. Garcia Agundez, J. Casademont, J. Batlle, S. Podobnik-Sarkanji, C. Alonso-Villaverde, B. Delaguillaume, B. Genc, B. Mazoyer, A. Rodriguez-Al-barino, Ch. Hilger, B. Ferrero, R. Price, W. Grisold, L. Fuhry, D. Oulbani, D. Ewing, A. Petkov, W. Walther, A. Gokyigit, John Newsom-Davis, J. Tayot, D. Seliak, G. Pelliccioni, D. Campagne, K. Kessler, F. Boureau, D. Perani, J. P. N'Guyen, N. Tchalucova, B. A. Antin-Ozerkis, C. Lacroix, B. D. Aronovich, I. H. Jenkins, E. A. dos Reis, M. Hortells, H. M. Meinck, H. Ch. Buschmann, S. C. J. M. Jacobs, T. Wetter, P. Creissard, N. Martinez, J. Weidenfeldl, H. J. Sturenburg, G. Damlacik, V. Gracia, J. C. Turpin, A. Pou-Serradell, J. P. Vincent, T. Gagoshidze, U. Ozkutlu, M. McLeod, K. Siegfried, I. Tchaoussoglou, J. Hildebrand, S. Kowalska, M. C. Picot, G. Galardin, L. Crevits, F. Andreetta, S. Larumbe-Lobalde, G. de la Sierra, J. C. Alvarez-Cermeno, R. J. Seitz, P. L. Oey, L. Ptacek, A. M. J. Paans, A. Wirrwar, A. Schmied, J. Uilchez, H. Tounsi, D. Hipola, V. Avoledo, Y. Hirata, P. Vermersch, T. M. Aisonobe, J. Valls-SoIè, H. Staunton, J. Dichgans, R. Karabudak, I. Dones, G. Porta, E. Janssens, Maria Martinez, J. M. Fernandez-Real, R. Villagra, Y. Yoshino, C. Kabus, K. Schimrigk, I. Girard-Buttaz, F. Piccoli, F. Aichner, P. Zuchegna, S. M. Al Deeb, F. Bono, N. Busquets, A. Jobert, Patrizia Ciscato, M. Martin, L. Polman, S. Darbra, V. Le Cam-Duchez, F. Baldissera, B. Baykan-Kurt, D. Guez, M. Bratoeva, H. Matsui, M. Mila, H. Perron, L. Bjorge, G. Husby, Steven T. DeKosky, D. R. Cornblath, J. M. Gabriel, J. J. Poza, Y. Wu, A. Toscano, R. P. Kleyweg, J. Kuhnen, S. O. Confort-Gouny, A. Barcelo, A. M. Conti, C. Fiol, C. Steichen-Wiehn, J. Rodes, M. Cavenaile, C. Vedeler, M. Drlicek, C. Argentino, M. L. Peris, A. Cervello, A. Z. GinaÏ, S. Yancheva, D. Passingham, S. Aoba, D. L. Lopez, T. Rechlin, K. Sonka, L. Grazzi, V. Folnegovic-Smalc, Maurizio Moggio, S. Rivaud, F. G. I. Jennekens, C. H. Hartard, H. Meierkord, G. Stocklin, M. D. Catala, W. C. McKay, E. Salmon, C. Navarro, I. Pastor, L. Canafoglia, M. De Braekeleer, P. K. Thomas, C. Mocellini, C. Pierre-Jerome, M. C. Dalakas, P. Pollak, M. Levivier, Niall Quinn, G. E. Rivolta, Z. Tunca, H. Zeumer, J. Garcia Tena, St. Guily, P. Gaudray, Johannes Kornhuber, V. Petrunjashev, R. Montesanti, R. J. Abbott, H. Petit, G. Kiteva-Trencevska, F. Carletto, C. Ramo, I. M. Pino, P. Beau, G. F. Mennuni, F. Moschian, F. Meneghini, B. Zdziarska, B. Fontaine, C. Stephens, G. Meco, K. Reiners, G. Badlan, M. Sessa, I. Degaey, S. M. Hassan, C. Albani, F. Caroeller, M. Schroeder, G. Savettieri, A. Novelletto, R. Kurita, P. Oschmann, I. Plaza, M. Oliveres, Simone Spuler, A. Molins, M. Schwab, J. R. Kalden, C. P. Gennaula, Y. Baklan, O. Picard, J. M. Léger, B. Mokri, E. Ghidoni, M. Jacob, D. Deplanque, W. JÄnisch, C. De Andres, P. De Deyn, G. Guomundsson, B. Herron, J. Barado, J. L. Gastaut, Guglielmo Scarlato, F. Poron, Nicola Jones, H. Teisserenc, C. P. Hawkins, A. J. Steck, H. C. Chandler, S. Blanc, J. H. Faiss, Jm. Soler Insa, I. Sarova-Ponchas, M. Malberin, A. Sackmann, G. De Vuono, K. Kaiser-Rub, K. Badhia, E. Szwabowska-Orzeszko, S. Ramm, C. Jodice, G. Franck, J. Marta-Moreno, R. Sciolla, C. Fritz, A. Attaccalite, F. Weber, E. Neuman, M. Cannata, A. Rodriguez, I. Nachainkin, R. Raffaele, T. S. Yu, N. Losseff, E. Fabrizio, C. Khati, M. Keipes, M. P. Ortega, M. Ramos-Alvarez, E. Brambilla, A. Tarasov, K. H. Wollinsky, O. B. Paulson, F. Boller, G. Bozzato, H. Wagnur, R. Canton, D. Testa, E. Kutluaye, M. Calopa, D. Smadja, G. Malatesta, F. Baggi, A. Stracciari, G. Daral, G. Avanzini, J. Perret, J. Arenas, P. Boon, I. Gomes, A. Vortmeyer, P. Cesaro, S. Venz, E. Bernd Ringelstein, N. Milani, D. Laplane, P. Seibel, E. Tournier-Lasserve, Alexis Brice, L. Motti, E. Wascher, R. J. Abbot, F. Miralles, A. Turon, P. De Camilli, G. Luz, G. C. Guazzi, S. Tekin, F. Lesoin, T. Kryst, N. Lannoy, F. Gerstenbrand, S. Ballivet, H. A. M. van Diemen, J. Lopez-ArLandis, P. Bell, A. Silvani, M. A. Garcia, S. Vorstrup, D. Langdon, S. Ueno, B. Sander, V. Ozurk, C. Gurses, P. Berlit, J. M. Martinez-Lage, M. Treacy, S. O. Rodiek, S. Cherninkova, J. Grimaud, P. Marozzi, K. Hasert, S. Goldman, S. H. Ingwersen, A. Taghavy, T. Roig, R. Harper, I. Sarova-Pinchas, Anthony H.V. Schapira, R. Lebtahi, A. Vidaller, B. Stankov, D. Link, J. p. Malin, V. Petrova, Ludwig Kappos, J. L. Ochoa, T. Torbergsen, M. Carpo, M. Donato, Simon Shorvon, J. Mieszkowski, J. Perez-Serra, Raymond Voltz, G. Comi, S. Rafique, A. Perez-Sempere, N. Khalfallah, S. Bailleul, M. Borgers, S. Banfi, S. Mossman, A. Laihinen, G. Filippini, R. A. Grunewald, E. Stern, H. D. Herrmann, A. G. Droogan, P. Xue, A. Grilo, L. La Mantia, J. H. J. Wokke, S. Pizzul, Kie Kian Ang, S. Rapaport, W. Szaplyko, B. Romero, P. Brunet, A. 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Navasa, J. Ballabriga, G. Broggi, T. Gudeva, C. Rose, J. Vion-Dury, J. A. Gastaut, J. Pniewski, Nicola J. Robertson, G. Kohncke, M. Billot, S. Gok, E. Castellli, F. Denktas, P. Bazzi, F. Spinelli, I. F. Moseley, C. D. Mardsen, B. Barbiroli, O. M. Koriech, A. Miller, Hiroaki Yoshikawa, F. X. Borruat, J. Zielasek, P. Le Coz, J. Pascual, A. Drouet, L. T. Giron, F. Schondube, R. Midgard, M. Alizadeh, M. Liguori, Lionel Ginsberg, L. Harms, C. Tilgner, G. Tognoni, F. Molteni, Mar Tintoré, M. Psylla, C. Goulon-Goeau, M. V. Aguilar, Massimo Filippi, K. H. Mauritz, Thomas V. Fernandez, C. Basset, S. Rossi, P. Meneses, B. Jandolo, T. Locatelli, D. Shechtcr, C. Magnani, R. Ferri, Bruno Dubois, J. M. Warier, S. Berges, F. Idiman, M. Schabet, R. R. Diehl, P. D'aurelio, M. Musior, Reinhard Hohlfeld, P. Smeyers, M. Olivé, A. Riva, C. A. Broere, N. Egund, S. Franceschetti, V. Bonavita, Nicola Canal, E. Timmermans, M. Ruiz, S. Barrandon, G. Vasilaski, B. Deweer, L. Galiano, S. F. T. M. de Bruijn, L. Masana, A. Goossens, B. Heye, K. Lauer, Heinz Gregor Wieser, Stephen R. Williams, B. Garavaglia, A. P. Sempere, F. Grigoletto, P. Poindron, R. Lopez-Pajares, I. Leite, T. A. McNell, C. Caucheteur, J. M. Giron, A. D. Collins, P. Freger, J. Sanhez Del Rio, D. A. Harn, K. Lindner, S. S. Scherer, G. Serve, M. Juncadella, X. Estivill, R. Binkhorst, M. Anderson, B. Tekinsoy, C. Sagan, T. Anastopoulos, G. Japaridze, S. Guillou, F. Erminio, Jon Sussman, P. G. Oomes, D. S. Rust, S. Mascheroni, O. Berger, M. Peresson, K. V. Toyka, T. W. Polder, M. Huberman, B. Arpaci, H. Ramtami, I. Martinez, Ph. Violon, P. P. Gazzaniga Pozzill, R. Ruda, P. Auzou, J. Parker, S. P. Morrissey, Jiahong Zhu, F. Rotondi, P. Baron, W. Schmid, P. Doneda, M. Spadaro, M. C. Nargeot, I. Banchs, J.S.P. van den Berg, R. Ferrai, M. Robotti, M. Fredj, Pedro M. Rodríguez Cruz, B. Erne, D. G. Piepgras, M. C. Arne-Bes, J. Escudero, C. Goetz, A. R. Naylor, M. Hallett, O. Abramsky, E. Bonifacio, L. E. Larsson, R. Pellikka, P. Valalentino, D. Guidetti, B. Buchwald, C. H. Lücking, D. Gauvreau, F. Pfaff, A. Ben Younes-Chennoufi, R. Kiefer, R. Massot, K. A. Hossmann, L. Werdelin, P. J. Baxter, U. Ziflo, S. Allaria, C. D. Marsden, M. Cabaret, S. P. Mueller, E. Calabrese, R. Colao, S. I. Bekkelund, M. Yilmaz, O. Oktem-Tanor, R. Gine, M. E. Scheulen, J. Beuuer, A. Melo, Z. Gulay, M. D. Have, C. Frith, D. Liberati, J. Gozlan, P. Rondot, Ch. Brunholzl, M. Pocchiari, J. Pena, L. Moiola, C. Salvadori, A. Cabello, T. Catarci, S. Webb, C. Dettmers, N. A. Gregson, Alexandra Durr, F. Iglesias, U. Knorr, L. Ferrini-Strambi, F. Kruggel, P. Allard, A. Coquerel, P. Genet, F. Vinuels, C. Oberwittler, A. Torbicki, P. Leffers, B. Renault, B. Fauser, C. Ciano, G. Uziel, J. M. Gibson, F. Anaya, C. Derouesné, C. N. Anagnostou, M. Kaido, W. Eickhoff, G. Talerico, M. L. Berthier, A. Capdevila, M. Alons, D. Rezek, E. Wondrusch, U. Kauerz, D. Mateo, M. A. Chornet, Holon, N. Pinsard, I. Doganer, E. Paoino, H. Strenge, C. Diaz, J. R. Brasic, W. Heide, I. Santilli, W. M. Korn, D. Selcuki, M. J. Barrett, D. Krieger, T. Leon, T. Houallah, M. Tournilhac, C. Nos, D. Chavot, F. Barbieri, F. J. Jimenez-Jimenez, J. Muruzabal, K. Poeck, A. Sennlaub, L. M. Iriarte, L. G. Lazzarino, C. Sanz, P. A. Fischer, S. D. Shorvon, R. Hoermann, F. Delecluse, M. Krams, O. Corabianu, F. H. Hochberg, Christopher J. Mathias, B. Debachy, C. M. Poser, L. Delodovici, A. Jimenez-Escrig, F. Baruzzi, F. Godenberg, D. Cucinotta, P. J. Garcia Ruiz, K. Maier-Hauff, P. R. Bar, R. Mezt, R. Jochens, S. Karakaneva, C. Roberti, E. Caballero, Joseph E. Parisi, M. Zamboni, T. Lacasa, B. Baklan, J. C. Gautier, J. A. Martinez-Matos, W. Pollmann, G. Thomas, L. Verze, E. Chleide, R. Alvarez Sala, I. Noel, E. Albuisson, O. Kastrup, S. I. Rapoport, H. J. Braune, H. Lörler, M. Le Merrer, A. Biraben, S. Soler, S. J. Taagholt, U. Meyding-Lamadé, K. Bleasdale-Barr, Isabella Moroni, Y. Campos, J. Matias-Guiu, G. Edan, M. G. Bousser, John B. Clark, J. Garcia de Yebenes, N. K. Olsen, P. Hitzenberger, S. Einius, Aj Thompson, Ch. J. Vecht, T. Crepin-Leblond, Klaus L. Leenders, A. Di Muzio, L. Georgieva, René Spiegel, K. Sabey, D. Ménégalli, J. Meulstee, U. Liszka, P. Giral, C. Sunol, J. M. Espadaler, A. D. Crockar, K. Varli, G. Giraud, P. J. Hülser, A. Benazzouz, A. Reggio, M. Salvatore, K. Genc, M. Kushnir, S. Barbieri, J. Ph. Azulay, M. Gianelli, N. Bathien, A. AlMemar, F. Hentati, I. Ragueneau, F. Chiarotti, R. C. F. Smits, A. K. Asbury, F. Lacruz, B. Muller, Alan J. Thompson, Gordon Smith, K. Schmidt, C. Daems Monpeun, Juergen Weber, A. Arboix, G. R. Fink, A. M. Cobo, M. Ait Kaci Ahmed, E. Gencheva, Israel-Biet, G. Schlaug, P. De Jonghe, Philip Scheltens, K. Toyka, P. Gonzalez-Porque, A. Cila, J. M. Fernandez, P. Augustin, J. Siclia, S. Medaglini, D. E. Ziogas, A. Feve, L. Kater, G. J. E. Rinkel, D. Leppert, Rüdiger J. Seitz, S. Ried, C. Turc-Carel, G. Smeyers, F. Godinho, M. Czygan, M. Rijntjes, E. Aversa, M. Frigo, Leif Østergaard, J. L. Munoz Blanco, A. Cruz-Matinez, J. De Reuck, C. Theillet, T. Barroso, V. Oikonen, Florence Lebert, M. Kilinc, C. Cordon-Cardon, G. Stoll, E. Thiery, F. Pulcinelli, J. Solski, M. Schmiegelow, L. J. Polman, P. Fernandez-Calle, C. Wikkelso, M. Ben Hamida, M. Laska, E. Kott, W. Sulkowski, C. Lucas, N. M. Bornstein, D. Schmitz, M. W. Lammers, A. de Louw, R. J. S. Wise, P. A. van Darn, C. Antozzi, P. Villanueva, P. H. E. Hilkens, C. Constantin, W. Ricart, A. Wolf, M. Gamba, P. Maguire, Alessandro Padovani, B. M. Patten, Marie Sarazin, H. Ackermann, L. Durelli, S. Timsit, Sebastian Jander, B. W. Scheithauer, G. Demir, J. P. Neau, P. Barbanti, A. Brand, N. AraÇ, V. Fischer-Gagnepain, R. Marchioli, G. Serratrice, C. Maugard-Louboutin, G. T. Spencer, D. Lücke, G. Mainardi, K. Harmant Van Rijckevorsel, G. B. Creel, R. Manzanares, Francesco Fortunato, A. May, J. Workman, K. Johkura, E. Fernandez, Carlo Colosimo, L. Calliauw, L. Bet, Félix F. Cruz-Sánchez, M. Dhib, H. Meinardi, F. Carrara, J. Kuehnen, C. Peiro, H. Lassmann, K. Skovgaard Olsen, A. McDonald, L. Sciulli, A. Cobo, A. Monticelli, B. Conrad, J. Bagunya, J. Benitez, V. Desnizza, B. Dupont, O. Delrieu, D. Moraes, J. J. Heimans, F. Garcia Rio, M. Matsumto, A. Fernandez, R. Nermni, R. Chalmers, M. J. Marchau, F. Aguado, P. Velupillai, P. J. Martin, P. Tassan, V. Demarin, A. Engelien, T. Gerriets, Comar, J. L. Carrasco, J. P. Pruvo, A. Lopez de Munain, D. Pavitt, J. Alarcon, Chris H. Polman, B. Guldin, N. Yeni, Hartmut Brückmann, N. Wilczak, H. Szwed, R. Causaran, G. Kyriazis, M. E. Westarp, M. Gasparini, N. Pecora, J. M. Roda, E. Lang, V. Scaioli, David R. Fish, D. Caputo, O. Gratzl, R. Mercelis, A. Perretti, G. Steimetz, I. Link, C. Rigoletto, A. Catafau, G. Lucotte, M. Buti, G. Fagiolari, A. Piqueras, C. Godinot, J. C. Meurice, Erodriguez J. Dominigo, F. Lionnet, H. Grzelec, David J. Brooks, P. M. G. Munro, F. X. Weilbach, M. Maiwald, W. Split, B. Widjaja-Cramer, V. Ozturk, J. Colas, E. Brizioli, J. Calleja, L. Publio, M. Desi, R. Soffietti, P. Cortinovis-Tourniaire, E. F. Gonano, G. Cavaletti, S. Uselli, K. Westerlind, H. Betuel, C. O. Dhiver, H. Guggenheim, M. Hamon, R. Fazio, P. Lehikoinen, A. Esser, B. Sadzot, G. Fink, Angelo Antonini, D. Bendahan, V. Di Carlo, G. Galardi, A. F. Boller, M. Aksenova, Del Fiore, V. de la Sayette, H. Chabriat, A. Nicoletti, A. Dilouya, M. L. Harpin, E. Rouillet, J. Stam, A. Wolters, M. R. Delgado, Eduardo Tolosa, G. Said, A. J. Lees, L. Rinaldi, A. Schulze-Bonhage, MA Ron, C. Lefebvre, E. W. Radü, R. Alvarez, M. L. Bots, P. Reganati, S. Palazzi, A. Poggi, N. J. Scolding, V. Sazdovitch, T. Moreau, E. Maes, M. A. Estelies, P. Petkova, Jose-Felix Marti-Masso, G De La Meilleure, N. Mullatti, M. Rodegher, N. C. Notermans, T. A. T. Warner, S. Aktan, J. P. Louboutin, L. Volpe, C. Scheidt, W. Aust, C. M. Wiles, U. Schneider, S. K. Braekken, W. R. Willems, K. Usuku, Peter M. Rothwell, C. Talamon, M. L. Sacchetti, A. Codina, M. H. Marion, A. Santoro, J. Roda, A. Bordoni, D. J. Taylor, S. Ertas, H. H. Emmen, J. Vichez, V. BesanÇon, R. E. Passingham, M. L. Malosio, A. Vérier, M. Bamberg, A. W. Hansen, E. Mostacero, G. Gaudriault, Marie Vidailhet, B. Birebent, K. Strijckmans, F. Giannini, T. Kammer, I. Araujo, J. Nowicki, E. Nikolov, A. Hutzelmann, R. Gherardi, J. Verroust, L. Austoni, A. Scheller, A. Vazquez, S. Matheron, H. Holthausen, J. M. Gerard, M. Bataillard, S. Dethy, V. H. Patterson, V. Ivanez, N. P. Hirsch, F. Ozer, M. Sutter, C. Jacomet, M. Mora, Bruno Colombo, A. Sarropoulos, T. H. Papapetropoulos, M. Schwarz, D. S. Dinner, N. Acarin, B. Iandolo, J. O. Riis, P. R. J. Barnes, F. Taroni, J. Kazenwadel, L. Torre, A. Lugaresi, I. L. Henriques, S. Pauli, S. Alfonso, Pedro Quesada, A. S. T. Planting, J. M. Castilla, Thomas Gasser, M. Van der Linden, A. Alfaro, E. Nobile-Orazio, G. Popova, W. Vaalburg, F. G. A. van der Mech, L. Williams, F. Medina, J. P. Vernant, J. Yaouanq, B. Storch-Hagenlocher, A. Potemkowski, R. Riva, M. H. Mahagne, M. Ozturk, Ve. Drory, N. Konic, C. Jungreis, A. Pou Serradell, J. L. Gauvrit, G. J. Chelune, S. Hermandez, T. Dingus, L. Hewer, Ch. Koch, M. N. Metz-Lutz, G. Parlato, M. Sinaki, Charles Pierrot-Deseilligny, H. C. Diener, J. Broeckx, J. Weill-Fulazza, M. L. Villar, M. Rizzo, O. Ganslandt, C. Duran, N. A. Fletcher, G. Di Giovacchino, Susan T. Iannaccone, C. Kolig, N. Fabre, H. A. Crockard, Rita Bella, M. Tazir, E. Papagiannuli, K. Overgaard, Emma Ciafaloni, I. Lorenzetti, F. Viader, P. A. H. Millac, I. Montiel, L. H. Visser, M. Palomar, P. L. Murgia, H. Pedersen, Rafael Blesa, S. Seddigh, W. O. Renier, I. Lemahieu, H. M. L. Jansen, L. Rosin, J. Galofre, K. Mattos, M. Pondal, G. M. Hadjigeorgiou, D. Francis, L. Cantin, D. Stegeman, M. Rango, A. B. M. F. Karim, S. Schraff, B. Castellotti, I. Iriarte, E. Laborde, T. J. Tjan, R. Mutani, D. Toni, B. Bergaasco, J. G. Young, C. Klotzsch, A. Zincone, X. Ducrocq, M. Uchuya, O. J. Kolar, A. Quattrone, T. Bauermann, Nereo Bresolin, J. Vallée, B. C. Jacobs, A. Campos, Werner Poewe, J. A. Villanueva, A. W. Kornhuber, A. Malafosse, E. Diez-Tejedor, G. Jungreia, M. J. A. Puchner, A. Komiyama, O. Saribas, V. Volpini, L. Geremia, S. Bressi, A. Nibbio, Timothy E. Bates, T. z. Tzonev, E. Ideman, G. A. Damlacik, G. Martino, G. Crepaldi, T. Martino, Kjell Någren, E. Idiman, D. Samuel, J. M. Perez Trullen, Y. van der Graaf, J. O. Thorell, M. J. M. Dupuis, E. Sieber, R. D'Alessandro, C. Cazzaniga, J. Faiss, A. Tanguy, A. Schick, I. Hoksergen, A. Cardozo, R. Shakarishvili, G. K. Wennlng, J. L. Marti-Vilalta, J. Weissenbach, I. L. Simone, Amalia C. Bruni, Darius J. Adams, C. Weiller, A. Pietrangeli, F. Croria, C. Vigo-Pelfrey, Patricia Limousin, A. Ducros, G. Conti, O. Lindvall, E. Richter, M. Zuffi, A. Nappo, T. Riise, J. Wijdenes, M. J. Fernandez, J. Rosell, P. Vermersh, S. Servidei, M. S. C. Verdugo, F. Gouttiere, W. Solbach, M. Malbezin, I. S. Watanabe, A. Tumac, W. I. McDonald, D. A. Butterfield, P. P. Costa, F. deRino, F. Bamonti, J. M. Cesar, C. H. Lahoz, I. Mosely, M. Starck, M. H. Lemaitre, K. M. Stephan, S. Tex, R. Bokonjic, I. Mollee, L. Pastena, M. Gutierrez, F. Boiler, M. C. Martinez-Para, M. Velicogna, O. Obuz, A. Grinspan, M. Guarino, L. M. Cartier, E. Ruiz, D. Gambi, S. Messina, M. Villa, Michael G. Hanna, J. Valk, Leone Pascual, M. Clanet, Z. Argov, B. Ryniewicz, E. Magni, B. Berlanga, K. S. Wong, C. Gellera, C. Prevost, F. Gonzalez-Huix, R. Petraroli, J. E. G. Benedikz, I. Kojder, C. Bommelaer, L. Perusse, M. R. Bangioanni, Guy M. McKhann, A. Molina, C. Fresquet, E. Sindern, Florence Pasquier, M. J. Rosas, M. Altieri, O. Simoncini, M. Koutroumanidis, C. A. F. Tulleken, M. Dary-Auriol, S. Oueslati, H. Kruyer, I. Nishisho, C. R. Horning, A. Vital, G. V. Czettritz, J. Ph. Neau, B. Mihout, A. Ameri, M. Francis, S. Quasthoff, D. Taussig, S. Blunt, P. Valentin, C. Y. Gao, O. Heinzlef, H. d'Allens, C. Coudero, M. Erfas, G. Borghero, P. J. Modrego Pardo, M. C. Patrosso, N. L. Gershfeld, P. A. J. M. Boon, O. Sabouraud, M. Lara, J. Svennevig, G. L. Lenzi, A. Barrio, H. Villaroya, JosÇ M. Manubens, O. Boespflug-Tanguy, M. Carreras, D. A. Costiga, J. P. Breux, S. Lynn, C. Oliveras Ley, A. G. Herbaut, J. Nos, C. Tornali, Y. A. Hekster, J. L. Chopard, J. M. Manubens, P. Chemouilli, A. Jovicic, F. Dworzak, S. Smirne, S. E. Soudain, B. Gallano, D. Lubach, G. Masullo, G. Izquierdo, A. Pascual Leone Pascual, A. Sessa, V. Freitas, O. Crambes, L. Ouss, G. W. Van Dijk, P. Marchettini, P. Confalonieri, M. Donaghy, A. Munnich, M. Corbo, and M. E. L. van der Burg
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Neurology ,business.industry ,Media studies ,Library science ,Medicine ,Neurology (clinical) ,business - Published
- 1994
- Full Text
- View/download PDF
3. [Infantile facial paralysis: diagnostic and therapeutic features]
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J, Montalt, R, Barona, C, Comeche, and J, Basterra
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Male ,Adolescent ,Child, Preschool ,Facial Paralysis ,Humans ,Female ,Child ,Retrospective Studies - Abstract
This paper deals with a series of 11 cases of peripheral unilateral facial paralyses affecting children under 15 years. Following parameters are reviewed: age, sex, side immobilized, origin, morbid antecedents, clinical and neurophysiological explorations (electroneurography through magnetic stimulation) and the evolutive course of the cases. These items are assembled in 3 sketches in the article. Clinical assessment of face movility is more difficult as the patient is younger, nevertheless electroneurography was possible in the whole group. Clinical restoration was complete, excepting one complicated cholesteatomatous patient. Some aspects concerning the etiology, diagnostic explorations and management of each pediatric case are discussed.
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- 2001
4. [The blink reflex in the electrophysiologic exploration of Bell's palsy and its prognostic value]
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J, Montalt, R, Barona, M, Armengot, J, López Trigo, and J, Basterra
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Adult ,Male ,Adolescent ,Blinking ,Facial Paralysis ,Middle Aged ,Prognosis ,Electrophysiology ,Facial Nerve ,Predictive Value of Tests ,Humans ,Female ,Child ,Aged - Abstract
Conventional electrophysiology of the facial nerve gives only information about the functional condition of its extracranial segment. The blink-reflex triggered for the electric stimulation of supraorbital nerve allows the study of the whole nerve path, even the intraosteal, where the great majority of its pathology settles. We have realized this tests in 43 Bell's palsy cases (at the beginning of the paralysis and three weeks later) and correlated the results with the clinic course, in order to set up the pronostic value of the procedure. The cases with shorter tendency of blink reflex along the three first week have a better outcome.
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- 1999
5. [Progression of profound perceptive deafness in children]
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J, Montalt, R, Barona, E, Zapater, M, Armengot, and J, Basterra
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Male ,Child, Preschool ,Hearing Loss, Sensorineural ,Disease Progression ,Audiometry, Pure-Tone ,Humans ,Female ,Child ,Severity of Illness Index - Abstract
We have studied 340 cases of deep neurisensorial deafness in children and their evolution along a 7.2 years term. Conventional audiometry has been used as commonest method for assessing the auditive function. In a considerable number of cases (15.9%) hearing loss was progressive and some relation referring to sex, the bearing of hearing aids and the etiology is statistically contemplated.
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- 1999
6. [Tobacco addiction and current treatment methods]
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J, Montalt, R, Barona, C, Torregrosa, and C, Comeche
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Behavior, Addictive ,Time Factors ,Humans ,Smoking Cessation ,Tobacco Use Disorder - Abstract
Smoking currently is considered to be an addiction with severe medical and social effects. It has been implicated in some respiratory and extra-respiratory diseases. In spite of knowing its dangerous effects, many patients cannot stop smoking without outside help. This help usually is provided by health-care personnel. It is necessary to be familiar with disintoxication methods in order to be able to advise patients on the use of any one or a combination of them. The most efficient method is individual medical help. Nicotine substitutes have demonstrated their effectiveness. Other complementary methods are not considered effective unless combined.
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- 1998
7. [Secretory middle ear otitis with severe sensorineural deafness]
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J, Montalt, R, Barona, M, Armengot, and J, Basterra
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Male ,Acoustic Impedance Tests ,Adolescent ,Otitis Media with Effusion ,Child, Preschool ,Hearing Loss, Sensorineural ,Humans ,Female ,Child - Abstract
Secretory middle ear otitis is of difficult assessment in children with severe hearing impairment. This otitis, very frequent in infants and children, influences negatively the auditive capacity and apprenticeship as well. Our study deals with the prevalence and severity of the secretive middle ear otitis in an scholar population handicapped by a heavy hypoacusia. Demographically, etiologic and seasonal correlations are considered in the paper. The outcome shows a high incidence of the condition, an inversely relation with the age, an evident seasonal distribution and the absence of correlation between etiology of middle ear disease and sensorineural deafness.
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- 1997
8. [Painful shoulder syndrome with drooping after cervical lymphatic dissection]
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A, Campos, E, Zapater, R, Barona, J, Montalt, and J, Basterra
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Male ,Shoulder ,Movement Disorders ,Postoperative Complications ,Ganglia, Spinal ,Neural Conduction ,Humans ,Female ,Laryngectomy ,Syndrome ,Middle Aged ,Aged - Abstract
A study was made of 12 patients with head and neck cancer who underwent surgical neck dissection in 1993 to evaluate quantitatively the degree of postoperative shoulder dysfunction after surgical neck dissection. Nerve conduction studies were made of the accessory nerve and the range of motion, strength and position of the shoulder were evaluated. Patients were invited to complete a questionnaire about daily living activities, shoulder pain, shoulder movement and shoulder droop. Our results showed that abnormalities can be found in shoulder and arm function after any type of neck dissection and that these are evident when the accessory nerve is damaged. Subjective questionnaire findings generally coincided with objective postoperative dysfunction.
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- 1996
9. [Computerized tomography in the detection of metastatic cervical lymph nodes]
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E, Zapater, R, Barona, A, Campos, V, Martínez Sanjuán, and J, Montalt
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Oropharyngeal Neoplasms ,Carcinoma, Squamous Cell ,Humans ,Oropharynx ,Lymph Nodes ,Larynx ,Neoplasm Metastasis ,Tomography, X-Ray Computed ,Laryngeal Neoplasms ,Neoplasm Staging ,Retrospective Studies - Abstract
The accuracy of computed tomography (CT) in detecting cervical lymph node metastases was studied. Twenty patients with squamous carcinoma of the head and neck were selected. The results obtained by cervical palpation, CT and postoperative histological study were compared. Palpation had a sensitivity of 64% and specificity of 100%. CT had a sensitivity of 71% and specificity of 100%. The small gain in sensitivity does not justify the systematic use of CT to study cervical lymph nodes in head and neck squamous carcinoma.
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- 1996
10. Young's syndrome: a further cause of chronic rhinosinusitis
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M, Armengot, G, Juan, C, Carda, J, Montalt, and J, Basterra
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Adult ,Diagnosis, Differential ,Male ,Microscopy, Electron ,Mucociliary Clearance ,Chronic Disease ,Humans ,Cilia ,Oligospermia ,Syndrome ,Sinusitis ,Ciliary Motility Disorders ,Rhinitis - Abstract
Three males--aged 32, 35, and 27 years--presented Young's syndrome: a combination of obstructive azoospermia and chronic sinopulmonary infection. The evaluation of nasal mucociliary transport using an isotopic technique revealed mucociliary stasis in one case and decreased clearance in the others (2 mm/min). Ciliary ultrastructure was normal in two patients, while the other showed mucous hyperplasia and low ciliary density which made correct ciliary evaluation not possible. The clinical development of this syndrome is chronic, although less severe than in the other two syndromes that exhibit primary failure of mucociliary transport: cystic fibrosis and primary ciliary dyskinesia. Young's syndrome should be considered in the differential diagnosis of patients suffering from chronic rhinosinusitis, particularly with cystic fibrosis and primary ciliary dyskinesia syndrome.
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- 1996
11. Invasive fungal sinusitis in immunosuppressed patients. Report of three cases
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E, Zapater, M, Armengot, A, Campos, J, Montalt, F, Pedro, and J, Basterra
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Adult ,Male ,Fatal Outcome ,AIDS-Related Opportunistic Infections ,Candidiasis ,Immunologic Deficiency Syndromes ,Humans ,Mucormycosis ,Female ,Sinusitis ,Aged - Abstract
Report of three cases. Newly appeared immunosuppression related conditions have led to an increase in morbidity of systemic opportunistic mycoses. Rhinosinusal infection has also increased in frequency. Three invasive nasosinusal mycoses are presented: two cases of mucormycosis and a simultaneous infection by mucormycosis and candida albicans. In all cases, and despite treatment, progression of the disease could not be stopped and the patients died. The main characteristics of invasive nasosinusal mycoses are reviewed, to obtain early diagnosis. Early therapy improves the prognosis, and thus clinical suspicion justifies treatment before establishing a microbiological diagnosis.
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- 1996
12. [The morphological and morphometric study of the segment of the labyrinth of the fallopian canal]
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J, Basterra, A, Martínez Almagro, C, Requena, and J, Montalt
- Subjects
Adult ,Male ,Facial Nerve ,Ear, Inner ,Humans ,Temporal Bone ,Female ,Middle Aged ,Vestibulocochlear Nerve ,Aged - Abstract
The study of the Fallopian canal with bone specimens can offer an exact and valuable information on the morphology of this duct and its close relations with neighbouring structures. The aim of this paper is to give an actualized compilation of the updated know findings, regarding the morphology and the morphometry of the first segment of the Fallopian canal. The study is based on 92 human temporal bones coming from skulls of adult subjects of both sexes. After a careful drilling work the whole length of the canal, that of the I.E.C. and the corresponding to the labyrinthine segment as well, were exposed and measured. The results allowed the AA. the macroscopical checking of the inversed ratio between the length and the calibre of the investigated canals. The labyrinthine portion of the facial canal is more narrow at its beginning (at the bottom of the I.E.C.) becoming broader as the duct approaches the first knee (geniculated ganglion) of the nerve.
- Published
- 1996
13. [Relations between the maxillary sinus and upper maxillary process. Anatomotopographic study]
- Author
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A, Martínez Almagro, J, Montalt Marco, C, Gener Galvis, and I, Barjau Guiñón
- Subjects
Adult ,Male ,Radiography ,Maxilla ,Humans ,Female ,Maxillary Sinus ,Middle Aged ,Aged - Abstract
The anatomic proximity of the antral floor and superior alveolar processes favors the propagation of infections from teeth to neighboring structures, as was pointed out first by John Hunter. A radiologic and anatomic study was made of these anatomic relations and the bony substance between the alveolar ridge and maxillary sinus was measured. No firm criteria for normality could be established because of the variability of the maxillary sinus. Variations in environmental and developmental conditions easily modify its morphology.
- Published
- 1995
14. [Morphological and morphometric study of the tympanic and mastoid portions of the fallopian aqueduct]
- Author
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A, Martínez Almagro, C, Requena, J, Montalt, and J, Basterra
- Subjects
Male ,Facial Nerve ,Tympanic Membrane ,Culture Techniques ,Humans ,Temporal Bone ,Female ,Oval Window, Ear ,Mastoid ,Semicircular Canals - Abstract
In surgery of the temporal bone the best way to avoid injuries to the facial nerve is to be acquainted with its location in all the surgical steps of the procedure scheduled. That is to say: an exact knowledge of its normal intratemporal run, having always in mind some characteristic landmarks, is absolutely essential. This work has been done through drilling 92 human temporal bones, measuring the length of both the tympanic and mastoidal segments and also considering the bending of the 2nd knee of the nerve. In the issue the mastoidal portion resulted the most straight (by half of the cases) whereas the tympanic one was slightly sloping downwards between the lateral semicircular canal upwards and the oval window below. Topographically has not been possible to establish neither a strict correlation between the location of the pyramide and the 2nd knee nor this knee was found by uns (in contrast to other AA's findings) at higher angle than 90 degrees in our specimen.
- Published
- 1995
15. [Descriptive analysis of evoked laryngeal potentials of the brainstem in rabbits]
- Author
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B, Cano, J, Montalt, J, Basterra, and M, Armengot
- Subjects
Animals ,Laryngeal Nerves ,Rabbits ,Larynx ,Evoked Potentials ,Electric Stimulation ,Brain Stem - Abstract
The present study evaluated comparatively the laryngeal brainstem responses (LBR) evoked, through electrical stimulation of the superior laryngeal nerve, in 2 groups of mature rabbits, using a far field technique. Each group is formed according to the shifting of the stimulation parameters followed for the research, namely: intensity (from 0.5 to 3 mA), stimulus frequency (from 2 stimuli/second to 5 stimuli/second) and total stimulation time (between 200 microseconds to 500 microseconds). Afterwards the values attained are compared with those supplied for the control-group (having 2 mA intensity, 4 stimuli per second and 100 microseconds as time). We got significative statistical differences regarding the stimulus intensity and the outcome is a shortening in latency wawe of LBR when using 3 mA.
- Published
- 1995
16. [Oncogenic activity of head and neck tumors]
- Author
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J, Basterra, M, Armengot, M, Martorell, R, Barona, and J, Montalt
- Subjects
Herpesvirus 4, Human ,Epidermal Growth Factor ,Genome, Human ,Gene Amplification ,Proto-Oncogene Mas ,Genes, ras ,Head and Neck Neoplasms ,Nasopharynx ,DNA, Viral ,Proto-Oncogenes ,Carcinoma, Squamous Cell ,Humans ,Point Mutation ,RNA, Viral - Abstract
Some types of malignant neoplasms are consequence of genetic changes. The starting of oncogenesis begins when some genetic alterations arises, or the genome acquires some peculiar and pathological traits owing to the action of physical, chemical or viral agents. These alterations set in motion an activatory phenomenon upon the proto-oncogene which is turned into an oncogene. The oncogene is responsible for fixed alterations of the genome inducing to an anomalous cellular growth. In squamous carcinomata of the head and neck has been observed mutations of the p-53 tumour-suppressor gene, alike amplifications of the ras-gene, of the C-myc proto-oncogene and also of the epidermal growth factor gene (EGFG). The viruses induce mutations on the genome. That would be the explanatory reason for the association carcinoma of the rhinopharynx-Epstein-Barr virus.
- Published
- 1995
17. [Approach to the laryngeal reflex through the study of laryngeal evoked potentials from the brainstem in rabbits]
- Author
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B, Cano, J, Montalt, J, Basterra, and M, Armengot
- Subjects
Male ,Animals ,Laryngeal Nerves ,Rabbits ,Larynx ,Electric Stimulation ,Brain Stem - Abstract
The present study evaluated the laryngeal brainstem response evoked by electrical stimulation of the superior laryngeal nerve in rabbits, using a far-field technique with an intensity of 2 mA, 100 microseconds duration and frequency of 4/second. Five reproducible positive and four negative waves, both reproducible, were obtained and they may represent the laryngeal brainstem activity.
- Published
- 1995
18. [The effect of visual feedback exercises on balance in normal subjects]
- Author
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R, Barona, E, Zapater, J, Montalt, M, Armengot, and J, Basterra
- Subjects
Adult ,Male ,Posture ,Visual Perception ,Humans ,Female ,Middle Aged ,Exercise ,Postural Balance ,Biomechanical Phenomena ,Feedback - Abstract
The effects of visual feedback exercises on balance was studied in normal individuals, to evaluate the efficacy of visual feedback of postural oscillation in improving stability. A DINAS-CAN dynamometric platform designed by the Valencian Institute of Biomechanics (IBv) was used. Before to commencing training sessions, we determined the following parameters in each individual: (a) static stability, via posturography; and (b) individual ability to displace and voluntarily maintain the center of gravity within the limits of stability. All static measures were poorer after training, but the differences were not significant (p0.01). In contrast, the exercises performed via visual feedback of postural control improved significantly (p0.01). Training by visual feedback facilitates integration of visual, somatosensory, and vestibular information. In normal individuals, stability improves under excentric conditions, but no improvement is seen in the central resting position.
- Published
- 1994
19. Laryngeal mucociliary transport: normal values and under the influence of anesthetics. An experimental study in rabbits
- Author
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M, Armengot, L, Garín, R, Barona, J, Montalt, and J, Basterra
- Subjects
Male ,Mucous Membrane ,Mucociliary Clearance ,Reference Values ,Animals ,Rabbits ,Larynx ,Anesthetics - Abstract
The larynx is the point of confluence of all tracheobronchial secretions and of the particles trapped within them. A study is made of laryngeal mucociliary transport using charcoal particles in 8 anesthetized rabbits and in 8 more during the immediate postmortem period. Most secretions were found to reach the posterior commissure, and were then swallowed. In the immediate postmortem rabbits, mucociliary transport velocity was 3.59 +/- 1.23 mm/min., with a transport time of 4.62 +/- 1.5 min. In the 8 rabbits anesthetized with droperidol, diazepam and thiobarbital, transport was found to be significantly slowed (p = 0.001).
- Published
- 1994
20. [Fine-needle puncture-aspiration in the measurement of the DNA content by flow cytometry in head and neck tumors. Methodology and applications]
- Author
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R, Barona, J E, O'Connor, C, Comeche, and J, Montalt
- Subjects
Evaluation Studies as Topic ,Head and Neck Neoplasms ,Biopsy, Needle ,Humans ,Reproducibility of Results ,DNA, Neoplasm ,Patient Acceptance of Health Care ,Flow Cytometry - Abstract
Fine needle aspiration was used to obtain samples from 15 patients with head and neck tumors for posterior analysis of their DNA content by flow cytometry. This technique afforded rapid and readily reproducible high quality histograms. A review was made of the malignancy criteria according to variations in DNA content. Good patient tolerance made it possible to apply the technique repeatedly to obtain samples for DNA analysis by flow cytometry, a method of great interest in monitoring response to different treatment protocols (chemotherapy, radiotherapy).
- Published
- 1993
21. [The new technique of studying cranial nerves VII, XI and XII: electroneurography by transcranial magnetic stimulation]
- Author
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A, Campos, R, Barona, and J, Montalt
- Subjects
Male ,Neural Pathways ,Cranial Nerves ,Transcutaneous Electric Nerve Stimulation ,Humans ,Female ,Electrodes ,Transcranial Magnetic Stimulation - Abstract
Transcranial magnetic stimulation (TMS) technique has been applied to the study of VII, XI and XII cranial nerves in 5 normal subjects, comparing the results with those obtained by conventional electrical stimulation. This technique allows us to study in a painless way the nerve function in all its pathway (motor cortex-motoneurone-muscle). In some cases, TMS yields potentials of a greater amplitude than those obtained by electrical stimulation, due to its capacity to penetrate deeply and stimulate all the fibers of the nerve.
- Published
- 1993
22. [Kniest syndrome. An audiological study]
- Author
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R, Barona, M, Armengot, L, Garín, J, Montalt, and J, Basterra
- Subjects
Otitis Media with Effusion ,Hearing Loss, Sensorineural ,Hearing Loss, Conductive ,Ear, Middle ,Dwarfism ,Syndrome ,Cochlea ,Cleft Palate ,Audiometry ,Scoliosis ,Lordosis ,Humans ,Female ,Kyphosis ,Child - Abstract
In this syndrome there is a disproportionate dwarfism with kyphoscoliosis, stiffness of the joints, minor facial dysmorphia, myopia and both conductive and sensorineural deafness in 50 percent of patients. It is a dominant autosomic heritable malady of unknown incidence, but both sexes seems equally affected. The patient's condition is diagnosed at birth, because of the short limbs and the enlargement of the joints. In the presented case, diagnosed at birth, the deafness was suppose to be transmissive, owing to the coexistence of a cleft palate, and consequently a grommet was inserted in the tympanum. Only afterwards, when the girl was 12 years old, the cochlear component of the hypoacusis fell in consideration.
- Published
- 1993
23. [A tubal mucociliary transport study: scintigraphy versus saccharin. A comparative study]
- Author
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F, Giménez Vaíllo, J, Marco Algarra, and J, Montalt Marco
- Subjects
Adult ,Male ,Otitis Media ,Saccharin ,Adolescent ,Mucociliary Clearance ,Reference Values ,Eustachian Tube ,Chronic Disease ,Humans ,Female ,Radionuclide Imaging ,Technetium Tc 99m Aggregated Albumin - Abstract
We have studied two different tracers in order to evaluate tubal mucociliary transport time: albumin typed with Technetium-99 and a saccharin solution. The procedure has been done in a group with normal ears and tubes, and in another one with chronic otitis media. Tubal transport time obtained is always longer with saccharin than with albumin between 21% and 66%.
- Published
- 1992
24. [Cholesteatoma of the middle ear. An enzymatic study]
- Author
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B, Cano Cuenca, J, Montalt Marco, M, Martorell Cebollada, and J, Basterra Alegría
- Subjects
Ear, Middle ,Humans ,Middle Aged ,Cholesteatoma ,Ear Diseases - Abstract
Forty specimens of aural cholesteatoma have been studied histoenzymological techniques. Acid phosphatases were the most representatives.
- Published
- 1991
25. [Usher syndrome. A genetic, otoneurologic and ophthalmologic study]
- Author
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F, Giménez Vaillo, P, Grimaldos Ruiz, J, Marco Algarra, P, Ivorra Lahuerta, and J, Montalt
- Subjects
Adult ,Hearing Loss, Bilateral ,Male ,Adolescent ,Eye Diseases ,Incidence ,Humans ,Female ,Syndrome ,Middle Aged ,Retinitis Pigmentosa ,Pedigree - Abstract
We have studied a group of 8 patients that presented the Usher syndrome. We have analyzed their family genealogic tree, showing the hereditary pattern found. We have analyzed the cochlear and vestibular functions. The retinoic and ophthalmologic complications are evaluated. We have searched for possible olfactory and gustative neuroreceptors disease.
- Published
- 1991
26. [Cancer of the mobile portion of the tongue: a review study]
- Author
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J, Montalt Marco, J, Basterra Alegría, B, Cano Cuenca, and A, Morant Ventura
- Subjects
Male ,Survival Rate ,Risk Factors ,Humans ,Female ,Middle Aged ,Combined Modality Therapy ,Aged ,Neoplasm Staging ,Tongue Neoplasms - Abstract
32 cases of cancer of the mobile portion of the tongue are studied. Comments are made about its aetiology, diagnosis and results of different treatment techniques.
- Published
- 1990
27. The electroneurography of the XI cranial nerve obtained by magnetic transcranial stimulation
- Author
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Campos A, R. Barona, M. Escudero, J. Montalt, J. López-Trigo, and J. Escudero
- Subjects
business.industry ,General Neuroscience ,Electroneuronography ,Medicine ,Stimulation ,Neurology (clinical) ,Anatomy ,business - Published
- 1993
- Full Text
- View/download PDF
28. Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology.
- Author
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Osorio P, Jimenez-Perez G, Montalt-Tordera J, Hooge J, Duran-Ballester G, Singh S, Radbruch M, Bach U, Schroeder S, Siudak K, Vienenkoetter J, Lawrenz B, and Mohammadi S
- Abstract
Artificial Intelligence (AI)-based image analysis has immense potential to support diagnostic histopathology, including cancer diagnostics. However, developing supervised AI methods requires large-scale annotated datasets. A potentially powerful solution is to augment training data with synthetic data. Latent diffusion models, which can generate high-quality, diverse synthetic images, are promising. However, the most common implementations rely on detailed textual descriptions, which are not generally available in this domain. This work proposes a method that constructs structured textual prompts from automatically extracted image features. We experiment with the PCam dataset, composed of tissue patches only loosely annotated as healthy or cancerous. We show that including image-derived features in the prompt, as opposed to only healthy and cancerous labels, improves the Fréchet Inception Distance (FID) by 88.6. We also show that pathologists find it challenging to detect synthetic images, with a median sensitivity/specificity of 0.55/0.55. Finally, we show that synthetic data effectively train AI models.
- Published
- 2024
- Full Text
- View/download PDF
29. Training deep learning based dynamic MR image reconstruction using open-source natural videos.
- Author
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Jaubert O, Pascale M, Montalt-Tordera J, Akesson J, Virsinskaite R, Knight D, Arridge S, Steeden J, and Muthurangu V
- Subjects
- Humans, Heart diagnostic imaging, Video Recording methods, Magnetic Resonance Imaging, Cine methods, Deep Learning, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods
- Abstract
To develop and assess a deep learning (DL) pipeline to learn dynamic MR image reconstruction from publicly available natural videos (Inter4K). Learning was performed for a range of DL architectures (VarNet, 3D UNet, FastDVDNet) and corresponding sampling patterns (Cartesian, radial, spiral) either from true multi-coil cardiac MR data (N = 692) or from synthetic MR data simulated from Inter4K natural videos (N = 588). Real-time undersampled dynamic MR images were reconstructed using DL networks trained with cardiac data and natural videos, and compressed sensing (CS). Differences were assessed in simulations (N = 104 datasets) in terms of MSE, PSNR, and SSIM and prospectively for cardiac cine (short axis, four chambers, N = 20) and speech cine (N = 10) data in terms of subjective image quality ranking, SNR and Edge sharpness. Friedman Chi Square tests with post-hoc Nemenyi analysis were performed to assess statistical significance. In simulated data, DL networks trained with cardiac data outperformed DL networks trained with natural videos, both of which outperformed CS (p < 0.05). However, in prospective experiments DL reconstructions using both training datasets were ranked similarly (and higher than CS) and presented no statistical differences in SNR and Edge Sharpness for most conditions.The developed pipeline enabled learning dynamic MR reconstruction from natural videos preserving DL reconstruction advantages such as high quality fast and ultra-fast reconstructions while overcoming some limitations (data scarcity or sharing). The natural video dataset, code and pre-trained networks are made readily available on github., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
30. 2D sodium MRI of the human calf using half-sinc excitation pulses and compressed sensing.
- Author
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Baker RR, Muthurangu V, Rega M, Montalt-Tordera J, Rot S, Solanky BS, Gandini Wheeler-Kingshott CAM, Walsh SB, and Steeden JA
- Subjects
- Humans, Retrospective Studies, Computer Simulation, Fourier Analysis, Imaging, Three-Dimensional methods, Magnetic Resonance Imaging methods, Sodium
- Abstract
Purpose: Sodium MRI can be used to quantify tissue sodium concentration (TSC) in vivo; however, UTE sequences are required to capture the rapidly decaying signal. 2D MRI enables high in-plane resolution but typically has long TEs. Half-sinc excitation may enable UTE; however, twice as many readouts are necessary. Scan time can be minimized by reducing the number of signal averages (NSAs), but at a cost to SNR. We propose using compressed sensing (CS) to accelerate 2D half-sinc acquisitions while maintaining SNR and TSC., Methods: Ex vivo and in vivo TSC were compared between 2D spiral sequences with full-sinc (TE = 0.73 ms, scan time ≈ 5 min) and half-sinc excitation (TE = 0.23 ms, scan time ≈ 10 min), with 150 NSAs. Ex vivo, these were compared to a reference 3D sequence (TE = 0.22 ms, scan time ≈ 24 min). To investigate shortening 2D scan times, half-sinc data was retrospectively reconstructed with fewer NSAs, comparing a nonuniform fast Fourier transform to CS. Resultant TSC and image quality were compared to reference 150 NSAs nonuniform fast Fourier transform images., Results: TSC was significantly higher from half-sinc than from full-sinc acquisitions, ex vivo and in vivo. Ex vivo, half-sinc data more closely matched the reference 3D sequence, indicating improved accuracy. In silico modeling confirmed this was due to shorter TEs minimizing bias caused by relaxation differences between phantoms and tissue. CS was successfully applied to in vivo, half-sinc data, maintaining TSC and image quality (estimated SNR, edge sharpness, and qualitative metrics) with ≥50 NSAs., Conclusion: 2D sodium MRI with half-sinc excitation and CS was validated, enabling TSC quantification with 2.25 × 2.25 mm
2 resolution and scan times of ≤5 mins., (© 2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)- Published
- 2024
- Full Text
- View/download PDF
31. HyperSLICE: HyperBand optimized spiral for low-latency interactive cardiac examination.
- Author
-
Jaubert O, Montalt-Tordera J, Knight D, Arridge S, Steeden J, and Muthurangu V
- Subjects
- Humans, Prospective Studies, Magnetic Resonance Imaging, Breath Holding, Magnetic Resonance Imaging, Cine methods, Image Processing, Computer-Assisted methods
- Abstract
Purpose: Interactive cardiac MRI is used for fast scan planning and MR-guided interventions. However, the requirement for real-time acquisition and near-real-time visualization constrains the achievable spatio-temporal resolution. This study aims to improve interactive imaging resolution through optimization of undersampled spiral sampling and leveraging of deep learning for low-latency reconstruction (deep artifact suppression)., Methods: A variable density spiral trajectory was parametrized and optimized via HyperBand to provide the best candidate trajectory for rapid deep artifact suppression. Training data consisted of 692 breath-held CINEs. The developed interactive sequence was tested in simulations and prospectively in 13 subjects (10 for image evaluation, 2 during catheterization, 1 during exercise). In the prospective study, the optimized framework-HyperSLICE- was compared with conventional Cartesian real-time and breath-hold CINE imaging in terms quantitative and qualitative image metrics. Statistical differences were tested using Friedman chi-squared tests with post hoc Nemenyi test (p < 0.05)., Results: In simulations the normalized RMS error, peak SNR, structural similarity, and Laplacian energy were all statistically significantly higher using optimized spiral compared to radial and uniform spiral sampling, particularly after scan plan changes (structural similarity: 0.71 vs. 0.45 and 0.43). Prospectively, HyperSLICE enabled a higher spatial and temporal resolution than conventional Cartesian real-time imaging. The pipeline was demonstrated in patients during catheter pull back, showing sufficiently fast reconstruction for interactive imaging., Conclusion: HyperSLICE enables high spatial and temporal resolution interactive imaging. Optimizing the spiral sampling enabled better overall image quality and superior handling of image transitions compared with radial and uniform spiral trajectories., (© 2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)
- Published
- 2024
- Full Text
- View/download PDF
32. Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields.
- Author
-
Pajaziti E, Montalt-Tordera J, Capelli C, Sivera R, Sauvage E, Quail M, Schievano S, and Muthurangu V
- Subjects
- Humans, Blood Flow Velocity, Computer Simulation, Neural Networks, Computer, Hydrodynamics, Models, Cardiovascular, Hemodynamics
- Abstract
Computational fluid dynamics (CFD) can be used to simulate vascular haemodynamics and analyse potential treatment options. CFD has shown to be beneficial in improving patient outcomes. However, the implementation of CFD for routine clinical use is yet to be realised. Barriers for CFD include high computational resources, specialist experience needed for designing simulation set-ups, and long processing times. The aim of this study was to explore the use of machine learning (ML) to replicate conventional aortic CFD with automatic and fast regression models. Data used to train/test the model consisted of 3,000 CFD simulations performed on synthetically generated 3D aortic shapes. These subjects were generated from a statistical shape model (SSM) built on real patient-specific aortas (N = 67). Inference performed on 200 test shapes resulted in average errors of 6.01% ±3.12 SD and 3.99% ±0.93 SD for pressure and velocity, respectively. Our ML-based models performed CFD in ∼0.075 seconds (4,000x faster than the solver). This proof-of-concept study shows that results from conventional vascular CFD can be reproduced using ML at a much faster rate, in an automatic process, and with reasonable accuracy., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Pajaziti et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
- Full Text
- View/download PDF
33. Editorial for "Automatic Time-Resolved Cardiovascular Segmentation of 4D Flow MRI Using Deep Learning".
- Author
-
Montalt-Tordera J, Steeden JA, and Muthurangu V
- Subjects
- Humans, Magnetic Resonance Imaging, Image Interpretation, Computer-Assisted, Deep Learning
- Published
- 2023
- Full Text
- View/download PDF
34. Automatic segmentation of the great arteries for computational hemodynamic assessment.
- Author
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Montalt-Tordera J, Pajaziti E, Jones R, Sauvage E, Puranik R, Singh AAV, Capelli C, Steeden J, Schievano S, and Muthurangu V
- Subjects
- Humans, Retrospective Studies, Predictive Value of Tests, Aorta diagnostic imaging, Hemodynamics, Magnetic Resonance Imaging
- Abstract
Background: Computational fluid dynamics (CFD) is increasingly used for the assessment of blood flow conditions in patients with congenital heart disease (CHD). This requires patient-specific anatomy, typically obtained from segmented 3D cardiovascular magnetic resonance (CMR) images. However, segmentation is time-consuming and requires expert input. This study aims to develop and validate a machine learning (ML) method for segmentation of the aorta and pulmonary arteries for CFD studies., Methods: 90 CHD patients were retrospectively selected for this study. 3D CMR images were manually segmented to obtain ground-truth (GT) background, aorta and pulmonary artery labels. These were used to train and optimize a U-Net model, using a 70-10-10 train-validation-test split. Segmentation performance was primarily evaluated using Dice score. CFD simulations were set up from GT and ML segmentations using a semi-automatic meshing and simulation pipeline. Mean pressure and velocity fields across 99 planes along the vessel centrelines were extracted, and a mean average percentage error (MAPE) was calculated for each vessel pair (ML vs GT). A second observer (SO) segmented the test dataset for assessment of inter-observer variability. Friedman tests were used to compare ML vs GT, SO vs GT and ML vs SO metrics, and pressure/velocity field errors., Results: The network's Dice score (ML vs GT) was 0.945 (interquartile range: 0.929-0.955) for the aorta and 0.885 (0.851-0.899) for the pulmonary arteries. Differences with the inter-observer Dice score (SO vs GT) and ML vs SO Dice scores were not statistically significant for either aorta or pulmonary arteries (p = 0.741, p = 0.061). The ML vs GT MAPEs for pressure and velocity in the aorta were 10.1% (8.5-15.7%) and 4.1% (3.1-6.9%), respectively, and for the pulmonary arteries 14.6% (11.5-23.2%) and 6.3% (4.3-7.9%), respectively. Inter-observer (SO vs GT) and ML vs SO pressure and velocity MAPEs were of a similar magnitude to ML vs GT (p > 0.2)., Conclusions: ML can successfully segment the great vessels for CFD, with errors similar to inter-observer variability. This fast, automatic method reduces the time and effort needed for CFD analysis, making it more attractive for routine clinical use., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
- View/download PDF
35. FReSCO: Flow Reconstruction and Segmentation for low-latency Cardiac Output monitoring using deep artifact suppression and segmentation.
- Author
-
Jaubert O, Montalt-Tordera J, Brown J, Knight D, Arridge S, Steeden J, and Muthurangu V
- Subjects
- Breath Holding, Cardiac Output, Humans, Image Processing, Computer-Assisted, Stroke Volume, Artifacts, Magnetic Resonance Imaging, Cine
- Abstract
Purpose: Real-time monitoring of cardiac output (CO) requires low-latency reconstruction and segmentation of real-time phase-contrast MR, which has previously been difficult to perform. Here we propose a deep learning framework for "FReSCO" (Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring)., Methods: Deep artifact suppression and segmentation U-Nets were independently trained. Breath-hold spiral phase-contrast MR data (N = 516) were synthetically undersampled using a variable-density spiral sampling pattern and gridded to create aliased data for training of the artifact suppression U-net. A subset of the data (N = 96) was segmented and used to train the segmentation U-net. Real-time spiral phase-contrast MR was prospectively acquired and then reconstructed and segmented using the trained models (FReSCO) at low latency at the scanner in 10 healthy subjects during rest, exercise, and recovery periods. Cardiac output obtained via FReSCO was compared with a reference rest CO and rest and exercise compressed-sensing CO., Results: The FReSCO framework was demonstrated prospectively at the scanner. Beat-to-beat heartrate, stroke volume, and CO could be visualized with a mean latency of 622 ms. No significant differences were noted when compared with reference at rest (bias = -0.21 ± 0.50 L/min, p = 0.246) or compressed sensing at peak exercise (bias = 0.12 ± 0.48 L/min, p = 0.458)., Conclusions: The FReSCO framework was successfully demonstrated for real-time monitoring of CO during exercise and could provide a convenient tool for assessment of the hemodynamic response to a range of stressors., (© 2022 The Authors. Macromolecular Symposia published by Wiley-VCH GmbH.)
- Published
- 2022
- Full Text
- View/download PDF
36. Deep artifact suppression for spiral real-time phase contrast cardiac magnetic resonance imaging in congenital heart disease.
- Author
-
Jaubert O, Steeden J, Montalt-Tordera J, Arridge S, Kowalik GT, and Muthurangu V
- Subjects
- Heart diagnostic imaging, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Microscopy, Phase-Contrast, Artifacts, Heart Defects, Congenital diagnostic imaging
- Abstract
Purpose: Real-time spiral phase contrast MR (PCMR) enables rapid free-breathing assessment of flow. Target spatial and temporal resolutions require high acceleration rates often leading to long reconstruction times. Here we propose a deep artifact suppression framework for fast and accurate flow quantification., Methods: U-Nets were trained for deep artifact suppression using 520 breath-hold gated spiral PCMR aortic datasets collected in congenital heart disease patients. Two spiral trajectories (uniform and perturbed) and two losses (Mean Absolute Error -MAE- and average structural similarity index measurement -SSIM-) were compared in synthetic data in terms of MAE, peak SNR (PSNR) and SSIM. Perturbed spiral PCMR was prospectively acquired in 20 patients. Stroke Volume (SV), peak mean velocity and edge sharpness measurements were compared to Compressed Sensing (CS) and Cartesian reference., Results: In synthetic data, perturbed spiral consistently outperformed uniform spiral for the different image metrics. U-Net MAE showed better MAE and PSNR while U-Net SSIM showed higher SSIM based metrics. In-vivo, there were no significant differences in SV between any of the real-time reconstructions and the reference standard Cartesian data. However, U-Net SSIM had better image sharpness and lower biases for peak velocity when compared to U-Net MAE. Reconstruction of 96 frames took ~59 s for CS and 3.9 s for U-Nets., Conclusion: Deep artifact suppression of complex valued images using an SSIM based loss was successfully demonstrated in a cohort of congenital heart disease patients for fast and accurate flow quantification., (Copyright © 2021 Elsevier Inc. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
37. Real-time deep artifact suppression using recurrent U-Nets for low-latency cardiac MRI.
- Author
-
Jaubert O, Montalt-Tordera J, Knight D, Coghlan GJ, Arridge S, Steeden JA, and Muthurangu V
- Subjects
- Humans, Magnetic Resonance Imaging, Magnetic Resonance Imaging, Cine, Retrospective Studies, Artifacts, Image Processing, Computer-Assisted
- Abstract
Purpose: Real-time low latency MRI is performed to guide various cardiac interventions. Real-time acquisitions often require iterative image reconstruction strategies, which lead to long reconstruction times. In this study, we aim to reconstruct highly undersampled radial real-time data with low latency using deep learning., Methods: A 2D U-Net with convolutional long short-term memory layers is proposed to exploit spatial and preceding temporal information to reconstruct highly accelerated tiny golden radial data with low latency. The network was trained using a dataset of breath-hold CINE data (including 770 time series from 7 different orientations). Synthetic paired data were created by retrospectively undersampling the magnitude images, and the network was trained to recover the target images. In the spirit of interventional imaging, the network was trained and tested for varying acceleration rates and orientations. Data were prospectively acquired and reconstructed in real time in 1 healthy subject interactively and in 3 patients who underwent catheterization. Images were visually compared to sliding window and compressed sensing reconstructions and a conventional Cartesian real-time sequence., Results: The proposed network generalized well to different acceleration rates and unseen orientations for all considered metrics in simulated data (less than 4% reduction in structural similarity index compared to similar acceleration and orientation-specific networks). The proposed reconstruction was demonstrated interactively, successfully depicting catheters in vivo with low latency (39 ms, including 19 ms for deep artifact suppression) and an image quality comparing favorably to other reconstructions., Conclusion: Deep artifact suppression was successfully demonstrated in the time-critical application of non-Cartesian real-time interventional cardiac MR., (© 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)
- Published
- 2021
- Full Text
- View/download PDF
38. Reducing Contrast Agent Dose in Cardiovascular MR Angiography with Deep Learning.
- Author
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Montalt-Tordera J, Quail M, Steeden JA, and Muthurangu V
- Subjects
- Humans, Imaging, Three-Dimensional, Magnetic Resonance Angiography, Prospective Studies, Reducing Agents, Retrospective Studies, Contrast Media, Deep Learning
- Abstract
Background: Contrast-enhanced magnetic resonance angiography (MRA) is used to assess various cardiovascular conditions. However, gadolinium-based contrast agents (GBCAs) carry a risk of dose-related adverse effects., Purpose: To develop a deep learning method to reduce GBCA dose by 80%., Study Type: Retrospective and prospective., Population: A total of 1157 retrospective and 40 prospective congenital heart disease patients for training/validation and testing, respectively., Field Strength/sequence: A 1.5 T, T1-weighted three-dimensional (3D) gradient echo., Assessment: A neural network was trained to enhance low-dose (LD) 3D MRA using retrospective synthetic data and tested with prospective LD data. Image quality for LD (LD-MRA), enhanced LD (ELD-MRA), and high-dose (HD-MRA) was assessed in terms of signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and a quantitative measure of edge sharpness and scored for perceptual sharpness and contrast on a 1-5 scale. Diagnostic confidence was assessed on a 1-3 scale. LD- and ELD-MRA were assessed against HD-MRA for sensitivity/specificity and agreement of vessel diameter measurements (aorta and pulmonary arteries)., Statistical Tests: SNR, CNR, edge sharpness, and vessel diameters were compared between LD-, ELD-, and HD-MRA using one-way repeated measures analysis of variance with post-hoc t-tests. Perceptual quality and diagnostic confidence were compared using Friedman's test with post-hoc Wilcoxon signed-rank tests. Sensitivity/specificity was compared using McNemar's test. Agreement of vessel diameters was assessed using Bland-Altman analysis., Results: SNR, CNR, edge sharpness, perceptual sharpness, and perceptual contrast were lower (P < 0.05) for LD-MRA compared to ELD-MRA and HD-MRA. SNR, CNR, edge sharpness, and perceptual contrast were comparable between ELD and HD-MRA, but perceptual sharpness was significantly lower. Sensitivity/specificity was 0.824/0.921 for LD-MRA and 0.882/0.960 for ELD-MRA. Diagnostic confidence was 2.72, 2.85, and 2.92 for LD, ELD, and HD-MRA, respectively (P
LD-ELD , PLD-HD < 0.05). Vessel diameter measurements were comparable, with biases of 0.238 (LD-MRA) and 0.278 mm (ELD-MRA)., Data Conclusion: Deep learning can improve contrast in LD cardiovascular MRA., Level of Evidence Level: 2 TECHNICAL EFFICACY: Stage 2., (© 2021 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC. on behalf of International Society for Magnetic Resonance in Medicine.)- Published
- 2021
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39. Machine learning in Magnetic Resonance Imaging: Image reconstruction.
- Author
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Montalt-Tordera J, Muthurangu V, Hauptmann A, and Steeden JA
- Subjects
- Algorithms, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Image Processing, Computer-Assisted, Machine Learning
- Abstract
Magnetic Resonance Imaging (MRI) plays a vital role in diagnosis, management and monitoring of many diseases. However, it is an inherently slow imaging technique. Over the last 20 years, parallel imaging, temporal encoding and compressed sensing have enabled substantial speed-ups in the acquisition of MRI data, by accurately recovering missing lines of k-space data. However, clinical uptake of vastly accelerated acquisitions has been limited, in particular in compressed sensing, due to the time-consuming nature of the reconstructions and unnatural looking images. Following the success of machine learning in a wide range of imaging tasks, there has been a recent explosion in the use of machine learning in the field of MRI image reconstruction. A wide range of approaches have been proposed, which can be applied in k-space and/or image-space. Promising results have been demonstrated from a range of methods, enabling natural looking images and rapid computation. In this review article we summarize the current machine learning approaches used in MRI reconstruction, discuss their drawbacks, clinical applications, and current trends., (Copyright © 2021 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
40. Primary role for melatonin MT 2 receptors in the regulation of anhedonia and circadian temperature rhythm.
- Author
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Belloch FB, Beltrán E, Venzala E, Montalt-Tordera J, Diaz-Perdigón T, Cecon E, Puerta E, Delagrange P, and Tordera RM
- Subjects
- Anhedonia, Animals, Circadian Rhythm, Humans, Mice, Mice, Inbred C57BL, Reboxetine, Receptor, Melatonin, MT1, Receptor, Melatonin, MT2, Temperature, Depressive Disorder, Major, Ketamine, Melatonin
- Abstract
Circadian rhythms disturbance is widely observable in patients with major depression (MD) and is also associated with depression vulnerability. Of them, disturbed melatonin secretion rhythm is particularly relevant to MD and is strongly phase-locked to core body temperature (CBT) rhythm. Here we aim to study the specific role of each melatonin receptor (MT
1 and MT2 ) subtype in melatonin regulation of circadian CBT and its possible relationship with depressive-like behaviors. MT1 -/- , MT2 -/- and WT (C57BL/6) mice were used. Anhedonia, using the sucrose intake test, circadian CBT, environmental place preference (EPP) conditioning and vulnerability to chronic social defeat stress (CSDS) procedure were studied. Moreover, the antidepressant effects of reboxetine (15 mg/kg/day, i.p.) for three weeks or ketamine (15 mg/kg i.p. every four days, 4 doses in total) were studied. Further, exposure to ultra-mild stress induced by individual housing for several weeks was also studied in these mice. MT2 -/- mice showed anhedonia and lower CBT compared to WT and MT1 -/-. In addition, while reward exposure raised nocturnal CBT in WT this increase did not take place in MT2 -/- mice. Further, MT2 -/- mice showed an enhanced vulnerability to stress-induced anhedonia and social avoidance as well as an impaired acquisition of novelty seeking behavior. Both reboxetine and ketamine reverted anhedonia and induced a clear anti-helpless behavior in the tail suspension test (TST). Reboxetine raised CBT in mice and reverted ultra-mild stress-induced anhedonia. Our findings show a primary role for MT2 receptors in the regulation of circadian CBT as well as anhedonia and suggest that these receptors could be involved in depressive disorders associated to disturbed melatonin function., Competing Interests: Declaration of Competing Interest All the authors declare no conflict of interest., (Copyright © 2021. Published by Elsevier B.V.)- Published
- 2021
- Full Text
- View/download PDF
41. Rapid 3D whole-heart cine imaging using golden ratio stack of spirals.
- Author
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Montalt-Tordera J, Kowalik G, Gotschy A, Steeden J, and Muthurangu V
- Subjects
- Adult, Breath Holding, Computer Simulation, Female, Humans, Male, Prospective Studies, Reproducibility of Results, Heart diagnostic imaging, Imaging, Three-Dimensional methods, Magnetic Resonance Imaging, Cine
- Abstract
Three-dimensional cine imaging provides a wealth of information about cardiac anatomy and function, but its use in the clinical environment is limited because data acquisition is very time consuming. In this work, a free-breathing 3D whole-heart cine imaging framework was developed using a time-efficient stack of spirals trajectory and accelerated reconstruction. Two suitable view ordering methods are considered with different spacing between k-space readouts in the partition dimension: uniform and tiny golden ratio based. A simulation study suggested the latter did not present any benefits in terms of similarity to the true image. The proposed method was subsequently tested on 10 prospective subjects and compared with conventional multi-slice breath-hold imaging. Image quality was evaluated using objective and subjective scores and ventricular measurements were compared to assess clinical accuracy. Image quality was lower in the proposed technique than in breath-hold images but good agreement was found in clinically relevant ventricular measurements. In addition, the proposed method was fast to acquire, required minimal planning and provided full anatomical coverage with isotropic resolution., (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Published
- 2020
- Full Text
- View/download PDF
42. Does Asymmetric Hearing Loss Affect the Ability to Understand in Noisy Environments?
- Author
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Barona R, Vizcaino JA, Krstulovic C, Barona L, Comeche C, Montalt J, Ubeda M, and Polo C
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Audiometry, Pure-Tone, Auditory Threshold physiology, Female, Humans, Male, Middle Aged, Young Adult, Comprehension physiology, Hearing Loss physiopathology, Noise, Speech Intelligibility physiology
- Abstract
Objectives: This study aimed to determine whether, in asymmetric hearing loss, the presence of an ear with a better or worse hearing threshold is related to either better or worse speech-in-noise (SiN) intelligibility., Materials and Methods: A total of 618 subjects with different degrees of hearing loss were evaluated for their ability to understand SiN. A stepwise forward logistic regression analysis was performed to identify the factors that affect performance. The influencing factors of very high or very low performance were determined., Results: Age, especially after 70 years of age, and hearing loss, especially from moderate hearing loss, negatively influence SiN intelligibility. Remarkably high intelligibility was identified in subjects with a contralateral ear presenting a better auditory threshold., Conclusion: Although age and hearing loss are known factors that affect SiN intelligibility, the presence of a healthy contralateral ear is presented as the first description of preservation of SiN hearing ability.
- Published
- 2019
- Full Text
- View/download PDF
43. Golden ratio stack of spirals for flexible angiographic imaging: Proof of concept in congenital heart disease.
- Author
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Kowalik GT, Steeden JA, Atkinson D, Montalt-Tordera J, Mortensen KH, and Muthurangu V
- Subjects
- Adult, Algorithms, Aorta diagnostic imaging, Artifacts, Child, Diastole, Humans, Image Processing, Computer-Assisted methods, Imaging, Three-Dimensional, Infusions, Intravenous, Magnetic Resonance Imaging, Cine, Motion, Reproducibility of Results, Signal-To-Noise Ratio, Heart Defects, Congenital diagnostic imaging, Magnetic Resonance Angiography
- Abstract
Purpose: In this study, a golden ratio stack of spiral (GRASS) sequence that used both golden step and golden angle ordering was implemented. The aim was to demonstrate that GRASS acquisitions could be flexibly reconstructed as both cardiac-gated and time-resolved angiograms., Methods: Image quality of time-resolved and cardiac-gated reconstructions of the GRASS sequence were compared to 3 conventional stack of spirals (SoS) acquisitions in an in silico model. In 10 patients, the GRASS sequence was compared to conventional breath hold angiography (BH-MRA) in terms of image quality and for vessel measurement. Vessel measurements were also compared to cine images., Results: In the cardiac-gated in silico model, the image quality of GRASS was superior to regular and golden-angle with regular step SoS approaches. In the time-resolved model, GRASS image quality was comparable to the golden-angle with regular step technique and superior to regular SoS acquisitions. In patients, there was no difference in qualitative image scores between GRASS and BH-MRA, but SNR was lower. There was good agreement in vessel measurements between the GRASS reconstructions and conventional MR techniques (BH-MRA: 29.8 ± 5.6 mm, time-resolved GRASS-MRA: 29.9 ± 5.4 mm, SSFP diastolic: 29.4 ± 5.8 mm, cardiac-gated GRASS-MRA diastolic: 29.5 ± 5.5 mm, P > 0.87)., Conclusion: We have demonstrated that the GRASS acquisition enables flexible reconstruction of the same raw data as both time-resolved and cardiac-gated volumes. This may enable better interrogation of anatomy in congenital heart disease., (© 2018 International Society for Magnetic Resonance in Medicine.)
- Published
- 2019
- Full Text
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44. Synthesis of bicyclo[4.n.1]alkanones.
- Author
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Montalt J, Linker F, Ratel F, and Miesch M
- Abstract
Cyclic beta-keto ester monoanions react with 1,4-dihalobutenes to give C-alkylated products which subsequently undergo a stereoselective SN2' O-alkylation reaction to yield functionalized enol ethers. When the starting material was ethyl cyclopentanone carboxylate, the C-alkylated product, treated with a base, directly afforded the functionalized bicyclo[4.2.1]nonanone. The enol ethers were submitted to a flash vacuum thermolysis (FVT) reaction to readily afford functionalized bicyclo[4.n.1]alkanones (n = 3, 4). This reaction sequence was applied to the synthesis of a functionalized tricyclo[7.4.1.0(1,5)]tetradecanone, which represents an analogue to the tricyclic core of ingenol., (Copyright 2004 American Chemical Society)
- Published
- 2004
- Full Text
- View/download PDF
45. [Infantile facial paralysis: diagnostic and therapeutic features].
- Author
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Montalt J, Barona R, Comeche C, and Basterra J
- Subjects
- Adolescent, Child, Child, Preschool, Female, Humans, Male, Retrospective Studies, Facial Paralysis diagnosis, Facial Paralysis therapy
- Abstract
This paper deals with a series of 11 cases of peripheral unilateral facial paralyses affecting children under 15 years. Following parameters are reviewed: age, sex, side immobilized, origin, morbid antecedents, clinical and neurophysiological explorations (electroneurography through magnetic stimulation) and the evolutive course of the cases. These items are assembled in 3 sketches in the article. Clinical assessment of face movility is more difficult as the patient is younger, nevertheless electroneurography was possible in the whole group. Clinical restoration was complete, excepting one complicated cholesteatomatous patient. Some aspects concerning the etiology, diagnostic explorations and management of each pediatric case are discussed.
- Published
- 2000
46. [Progression of profound perceptive deafness in children].
- Author
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Montalt J, Barona R, Zapater E, Armengot M, and Basterra J
- Subjects
- Audiometry, Pure-Tone, Child, Child, Preschool, Disease Progression, Female, Hearing Loss, Sensorineural etiology, Humans, Male, Severity of Illness Index, Hearing Loss, Sensorineural diagnosis
- Abstract
We have studied 340 cases of deep neurisensorial deafness in children and their evolution along a 7.2 years term. Conventional audiometry has been used as commonest method for assessing the auditive function. In a considerable number of cases (15.9%) hearing loss was progressive and some relation referring to sex, the bearing of hearing aids and the etiology is statistically contemplated.
- Published
- 1999
47. [The blink reflex in the electrophysiologic exploration of Bell's palsy and its prognostic value].
- Author
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Montalt J, Barona R, Armengot M, López Trigo J, and Basterra J
- Subjects
- Adolescent, Adult, Aged, Child, Facial Nerve physiopathology, Facial Paralysis physiopathology, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prognosis, Blinking physiology, Electrophysiology methods, Facial Paralysis diagnosis
- Abstract
Conventional electrophysiology of the facial nerve gives only information about the functional condition of its extracranial segment. The blink-reflex triggered for the electric stimulation of supraorbital nerve allows the study of the whole nerve path, even the intraosteal, where the great majority of its pathology settles. We have realized this tests in 43 Bell's palsy cases (at the beginning of the paralysis and three weeks later) and correlated the results with the clinic course, in order to set up the pronostic value of the procedure. The cases with shorter tendency of blink reflex along the three first week have a better outcome.
- Published
- 1999
48. [Tobacco addiction and current treatment methods].
- Author
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Montalt J, Barona R, Torregrosa C, and Comeche C
- Subjects
- Humans, Smoking Cessation, Time Factors, Behavior, Addictive therapy, Tobacco Use Disorder therapy
- Abstract
Smoking currently is considered to be an addiction with severe medical and social effects. It has been implicated in some respiratory and extra-respiratory diseases. In spite of knowing its dangerous effects, many patients cannot stop smoking without outside help. This help usually is provided by health-care personnel. It is necessary to be familiar with disintoxication methods in order to be able to advise patients on the use of any one or a combination of them. The most efficient method is individual medical help. Nicotine substitutes have demonstrated their effectiveness. Other complementary methods are not considered effective unless combined.
- Published
- 1998
49. [Secretory middle ear otitis with severe sensorineural deafness].
- Author
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Montalt J, Barona R, Armengot M, and Basterra J
- Subjects
- Acoustic Impedance Tests, Adolescent, Child, Child, Preschool, Female, Hearing Loss, Sensorineural diagnosis, Humans, Male, Hearing Loss, Sensorineural complications, Otitis Media with Effusion complications
- Abstract
Secretory middle ear otitis is of difficult assessment in children with severe hearing impairment. This otitis, very frequent in infants and children, influences negatively the auditive capacity and apprenticeship as well. Our study deals with the prevalence and severity of the secretive middle ear otitis in an scholar population handicapped by a heavy hypoacusia. Demographically, etiologic and seasonal correlations are considered in the paper. The outcome shows a high incidence of the condition, an inversely relation with the age, an evident seasonal distribution and the absence of correlation between etiology of middle ear disease and sensorineural deafness.
- Published
- 1997
50. [Painful shoulder syndrome with drooping after cervical lymphatic dissection].
- Author
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Campos A, Zapater E, Barona R, Montalt J, and Basterra J
- Subjects
- Aged, Female, Humans, Male, Middle Aged, Neural Conduction, Postoperative Complications, Shoulder surgery, Syndrome, Ganglia, Spinal physiopathology, Ganglia, Spinal surgery, Laryngectomy adverse effects, Movement Disorders physiopathology, Shoulder physiopathology
- Abstract
A study was made of 12 patients with head and neck cancer who underwent surgical neck dissection in 1993 to evaluate quantitatively the degree of postoperative shoulder dysfunction after surgical neck dissection. Nerve conduction studies were made of the accessory nerve and the range of motion, strength and position of the shoulder were evaluated. Patients were invited to complete a questionnaire about daily living activities, shoulder pain, shoulder movement and shoulder droop. Our results showed that abnormalities can be found in shoulder and arm function after any type of neck dissection and that these are evident when the accessory nerve is damaged. Subjective questionnaire findings generally coincided with objective postoperative dysfunction.
- Published
- 1996
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