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183 results on '"Katoh C"'

8. Young investigator award session oral abstract session

Author

Tsukamoto, T., Morita, K., Naya, M., Katoh, C., Kuge, Y., Okamoto, H., Tsutsui, H., Tamaki, N., Namdar, M., Siegrist, P., Koepfli, P., Tschuetscher, P., Hany, T., Wyss, C., Kaufmann, P., Lautamäki, R., Airaksinen, K., Seppänen, M., Toikka, J., Luotolahti, M., Ball, E., Härkönen, R., Knuuti, J., Stewart, M., Nuutila, P., Ghanbari, H., Hassunizadeh, B., Williams, F., Cunningham, D., Agrawal, S., Machado, C., Saba, S., Tekabe, Y., Abu-Taha, A., Johnson, L., Khaw, B., Noble, G., ElKoustaf, R., Navare, S., Lundbye, J., Katten, D., Platt, M., Ahlberg, A., and Heller, G.

Published
2018

10. Novel applications of myocardial perfusion imaging oral abstract session

Author

Lautamäki, R. Riikka, Airaksinen, K. E. J., Seppänen, M., Toikka, J., Luotolahti, M., Borra, R., Sundell, J., Knuuti, J., Nuutila, P., Hermann, S. Sven, Levkau, B., Theilmeier, G., Giet, M. Van der, Chun, J., Schober, O., Schäfers, M., Spadafora, M. Marco, Manganelli, F., Ferro, A., Varrella, P., Rizzo, V., Mansi, L., Rosato, G., Miletto, P., Cuocolo, A., Tsukamoto, T. Takahiro, Morita, K., Naya, M., Katoh, C., Kuge, Y., Okamoto, H., Tsutsui, H., Tamaki, N., Morita, K. Koichi, Tsukamoto, T., Naya, M., Noriyasu, K., Mabichi, M., Kageyama, H., Tamaki, N., Varani, K., Shryock, J. C., Belardinelli, L. Luiz, and Borea, P. A.

Published
2005
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11. Young investigator award session oral abstract session

Author

Tsukamoto, T. Takahiro, Morita, K., Naya, M., Katoh, C., Kuge, Y., Okamoto, H., Tsutsui, H., Tamaki, N., Namdar, M. Mehdi, Siegrist, P. T., Koepfli, P., Tschuetscher, P., Hany, T. F., Wyss, C. A., Kaufmann, P. A., Lautamäki, R. Riikka, Airaksinen, K. E. J., Seppänen, M., Toikka, J., Luotolahti, M., Ball, E., Härkönen, R., Knuuti, J., Stewart, M., Nuutila, P., Ghanbari, H. Hamid, Hassunizadeh, B., Williams, F., Cunningham, D., Agrawal, S., Machado, C., Saba, S., Tekabe, Y., Abu-Taha, A., Johnson, L., Khaw, B. A. Ban-AN, Noble, G. L. Gavin, ElKoustaf, R., Navare, S. M., Lundbye, J., Katten, D., Platt, M., Ahlberg, A., and Heller, G. V.

Published
2005
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13. Poster Session 2 : Monday 4 May 2015, 08

Author

Bouyoucef, S E, Uusitalo, V, Kamperidis, V, De Graaf, M A, Maaniitty, T, Stenstrom, I, Broersen, A, Scholte, A J, Saraste, A, Bax, J J, Knuuti, J, Furuhashi, T, Moroi, M, Awaya, T, Masai, H, Minakawa, M, Kunimasa, T, Fukuda, H, Sugi, K, Berezin, A, Kremzer, A, Clerc, O F, Kaufmann, B, Possner, M, Liga, R, Vontobel, J, Mikulicic, F, Graeni, C, Benz, D C, Kaufmann, P A, Buechel, R B, Ferreira, Mjv, Cunha, M J, Albuquerque, A, Ramos, D, Costa, G, Lima, J, Pego, M, Peix, A, Cisneros, L, Cabrera, L O, Padron, K, Rodriguez, L, Heres, F, Carrillo, R, Mena, E, Fernandez, Y, Huizing, E D, Van Dijk, J D, Van Dalen, J A, Timmer, J R, Ottervanger, J P, Slump, C H, Jager, P L, Venuraju, S, Jeevarethinam, A, Yerramasu, A, Atwal, S, Mehta, V S, Lahiri, A, Arjonilla Lopez, A, Calero Rueda, M J, Gallardo, G, Fernandez-Cuadrado, J, Hernandez Aceituno, D, Sanchez Hernandez, J, Yoshida, H, Mizukami, A, Matsumura, A, Smettei, O, Abazid, R, Sayed, S, Mlynarska, A, Mlynarski, R, Golba, K, Sosnowski, M, Winther, S, Svensson, M, Jorgensen, H S, Bouchelouche, K, Gormsen, L C, Holm, N R, Botker, H E, Ivarsen, P R, Bottcher, M, Cortes, C M, Aramayo G, E N, Daicz, M, Casuscelli, J F, Alaguibe, E D, Neira Sepulveda, A, Cerda, M, Ganum, G E, Embon, M, Vigne, J, Enilorac, B, Lebasnier, A, Valancogne, L, Peyronnet, D, Manrique, A, Agostini, D, Menendez, D, Rajpal, S, Kocherla, C, Acharya, M, Reddy, P, Sazonova, I, Ilushenkova, Yun, Batalov, R E, Rogovskaya, Y V, Lishmanov, Y B, Popov, S V, Varlamova, N V, Prado Diaz, S, Jimenez Rubio, C, Gemma, D, Refoyo Salicio, E, Valbuena Lopez, S C, Moreno Yanguela, M, Torres, M, Fernandez-Velilla, M, Lopez-Sendon, J L, Guzman Martinez, G, Puente, A, Rosales, S, Martinez, C, Cabada, M, Melendez, G M, Ferreira, R, Gonzaga, A, Santos, J, Vijayan, S, Smith, Smg, Smith, M, Muthusamy, R, Takeishi, Y, Oikawa, M, Goral, J L, Napoli, J, Montana, O R, Damico, A C, Quiroz, M C, Damico, A E, Forcada, P J, Schmidberg, J M, Zucchiatti, N E, Olivieri, D B, Dumo, A, Ruano, S, Rakhit, R, Davar, J, Nair, D, Cohen, M, Darko, D, Yokota, S, Maas, Ahe, Mouden, M, Knollema, S, Sanja Mazic, S M, Lazovic, B, Marina Djelic, Mdj, Jelena Suzic Lazic, J S, Tijana Acimovic, T A, Milica Deleva, M D, Vesnina, Z H, Zafrir, N, Bental, T, Mats, I, Solodky, A, Gutstein, A, Hasid, Y, Belzer, D, Kornowski, R, Ben Said, Rim, Ben Mansour, N, Ibn Haj Amor, H, Chourabi, C, Hagui, A, Fehri, W, Hawala, H, Shugushev, Z, Patrikeev, A, Maximkin, D, Chepurnoy, A, Kallianpur, V, Mambetov, A, Dokshokov, G, Teresinska, A, Wozniak, O, Maciag, A, Wnuk, J, Dabrowski, A, Czerwiec, A, Jezierski, J, Biernacka, K, Robinson, J, Prosser, J, Cheung, Gsm, Allan, S, Mcmaster, G, Reid, S, Tarbuck, A, Martin, W, Queiroz, R C, Falcao, A, Giorgi, McP, Imada, R, Nogueira, S A, Chalela, W A, Kalil Filho, R, Meneghetti, W A, Matveev, V V, Bubyenov, A S, Podzolkov, V I, Baranovich, V, Faibushevich, A, Kolzhecova, Y, Volkova, O, Fernandez, J, Lopez, G, Dondi, M, Paez, D, Butcher, Cjt, Reyes, E, Al-Housni, M B, Green, R, Santiago, H, Ghiotto, F, Hinton-Taylor, S, Pottle, A, Mason, M, Underwood, S R, Casans Tormo, I, Diaz-Exposito, R, Plancha-Burguera, E, Elsaban, K, Alsakhri, Hijji, Yoshinaga, K, Ochi, N, Tomiyama, Y, Katoh, C, Inoue, M, Nishida, M, Suzuki, E, Manabe, O, Ito, Y M, Tamaki, N, Tahilyani, A, Jafary, Fahim, Ho Hee Hwa, H H, Ozdemir, S, Kirilmaz, B, Barutcu, A, Tan, Y Z, Celik, F, Sakgoz, S, Cabada Gamboa, M, Puente Barragan, A, Morales Vitorino, N, Medina Servin, M A, Hindorf, C, Akil, S, Hedeer, F, Jogi, J, Engblom, H, Martire, V D, Pis Diez, E R, Martire, M V, Portillo, D O, Hoff, C M, Balche, A, Majgaard, J, Tolbod, L P, Harms, H J, Soerensen, J, Froekiaer, J, Nudi, F, Neri, G, Procaccini, E, Pinto, A, Vetere, M, Biondi-Zoccai, G, Soares, J, Do Val, R, Oliveira, M A, Meneghetti, J C, Tekabe, Y, Anthony, T, Li, Q, Schmidt, A M, Johnson, L, Groenman, M, Tarkia, M, Kakela, M, Halonen, P, Kiviniemi, T, Pietila, M, Yla-Herttuala, S, Roivainen, A, Nekolla, S, Swirzek, S, Higuchi, T, Reder, S, Schachoff, S, Bschorner, M, Laitinen, I, Robinson, S, Yousefi, B, Schwaiger, M, Kero, Tanja, Lindsjo, L, Antoni, Gunnar, Westermark, P, Carlson, K, Wikstrom, G, Sörensen, Jens, Lubberink, Mark, Rouzet, F, Cognet, T, Guedj, K, Morvan, M, El Shoukr, F, Louedec, L, Choqueux, C, Nicoletti, A, Le Guludec, D, Jimenez-Heffernan, A, Munoz-Beamud, F, Sanchez De Mora, E, Borrachero, C, Salgado, C, Ramos-Font, C, Lopez-Martin, J, Hidalgo, M L, Lopez-Aguilar, R, Soriano, E, Okizaki, A, Nakayama, M, Ishitoya, S, Sato, J, Takahashi, K, Burchert, I, Caobelli, F, Wollenweber, T, Nierada, M, Fulsche, J, Dieckmann, C, Bengel, F M, Shuaib, S, Mahlum, D, Port, S, Refoyo, E, Cuesta, E, Guzman, G, Lopez, T, Valbuena, S, Del Prado, S, Moreno, M, Harbinson, M, Donnelly, L, Einstein, A J, Johnson, L L, Deluca, A J, Kontak, A C, Groves, D W, Stant, J, Pozniakoff, T, Cheng, B, Rabbani, L E, Bokhari, S, Schuetze, C, Aguade-Bruix, S, Pizzi, M N, Romero-Farina, G, Terricabras, M, Villasboas, D, Castell-Conesa, J, Candell-Riera, J, Brunner, S, Gross, L, Todica, A, Lehner, S, Di Palo, A, Niccoli Asabella, A, Magarelli, C, Notaristefano, A, Ferrari, C, Rubini, G, Sellem, A, Melki, S, Elajmi, W, Hammami, H, Ziadi, M C, Montero, J, Ameriso, J L, Villavicencio, R L, Benito Gonzalez, T F, Mayorga Bajo, A, Gutierrez Caro, R, Rodriguez Santamarta, M, Alvarez Roy, L, Martinez Paz, E, Barinaga Martin, C, Martin Fernandez, J, Alonso Rodriguez, D, Iglesias Garriz, I, Rosillo, S, Taleb, S, Cherkaoui Salhi, G, Regbaoui, Y, Ait Idir, M, Guensi, A, Martin Lopez, C E, Castano Ruiz, M, Bouyoucef, S E, Uusitalo, V, Kamperidis, V, De Graaf, M A, Maaniitty, T, Stenstrom, I, Broersen, A, Scholte, A J, Saraste, A, Bax, J J, Knuuti, J, Furuhashi, T, Moroi, M, Awaya, T, Masai, H, Minakawa, M, Kunimasa, T, Fukuda, H, Sugi, K, Berezin, A, Kremzer, A, Clerc, O F, Kaufmann, B, Possner, M, Liga, R, Vontobel, J, Mikulicic, F, Graeni, C, Benz, D C, Kaufmann, P A, Buechel, R B, Ferreira, Mjv, Cunha, M J, Albuquerque, A, Ramos, D, Costa, G, Lima, J, Pego, M, Peix, A, Cisneros, L, Cabrera, L O, Padron, K, Rodriguez, L, Heres, F, Carrillo, R, Mena, E, Fernandez, Y, Huizing, E D, Van Dijk, J D, Van Dalen, J A, Timmer, J R, Ottervanger, J P, Slump, C H, Jager, P L, Venuraju, S, Jeevarethinam, A, Yerramasu, A, Atwal, S, Mehta, V S, Lahiri, A, Arjonilla Lopez, A, Calero Rueda, M J, Gallardo, G, Fernandez-Cuadrado, J, Hernandez Aceituno, D, Sanchez Hernandez, J, Yoshida, H, Mizukami, A, Matsumura, A, Smettei, O, Abazid, R, Sayed, S, Mlynarska, A, Mlynarski, R, Golba, K, Sosnowski, M, Winther, S, Svensson, M, Jorgensen, H S, Bouchelouche, K, Gormsen, L C, Holm, N R, Botker, H E, Ivarsen, P R, Bottcher, M, Cortes, C M, Aramayo G, E N, Daicz, M, Casuscelli, J F, Alaguibe, E D, Neira Sepulveda, A, Cerda, M, Ganum, G E, Embon, M, Vigne, J, Enilorac, B, Lebasnier, A, Valancogne, L, Peyronnet, D, Manrique, A, Agostini, D, Menendez, D, Rajpal, S, Kocherla, C, Acharya, M, Reddy, P, Sazonova, I, Ilushenkova, Yun, Batalov, R E, Rogovskaya, Y V, Lishmanov, Y B, Popov, S V, Varlamova, N V, Prado Diaz, S, Jimenez Rubio, C, Gemma, D, Refoyo Salicio, E, Valbuena Lopez, S C, Moreno Yanguela, M, Torres, M, Fernandez-Velilla, M, Lopez-Sendon, J L, Guzman Martinez, G, Puente, A, Rosales, S, Martinez, C, Cabada, M, Melendez, G M, Ferreira, R, Gonzaga, A, Santos, J, Vijayan, S, Smith, Smg, Smith, M, Muthusamy, R, Takeishi, Y, Oikawa, M, Goral, J L, Napoli, J, Montana, O R, Damico, A C, Quiroz, M C, Damico, A E, Forcada, P J, Schmidberg, J M, Zucchiatti, N E, Olivieri, D B, Dumo, A, Ruano, S, Rakhit, R, Davar, J, Nair, D, Cohen, M, Darko, D, Yokota, S, Maas, Ahe, Mouden, M, Knollema, S, Sanja Mazic, S M, Lazovic, B, Marina Djelic, Mdj, Jelena Suzic Lazic, J S, Tijana Acimovic, T A, Milica Deleva, M D, Vesnina, Z H, Zafrir, N, Bental, T, Mats, I, Solodky, A, Gutstein, A, Hasid, Y, Belzer, D, Kornowski, R, Ben Said, Rim, Ben Mansour, N, Ibn Haj Amor, H, Chourabi, C, Hagui, A, Fehri, W, Hawala, H, Shugushev, Z, Patrikeev, A, Maximkin, D, Chepurnoy, A, Kallianpur, V, Mambetov, A, Dokshokov, G, Teresinska, A, Wozniak, O, Maciag, A, Wnuk, J, Dabrowski, A, Czerwiec, A, Jezierski, J, Biernacka, K, Robinson, J, Prosser, J, Cheung, Gsm, Allan, S, Mcmaster, G, Reid, S, Tarbuck, A, Martin, W, Queiroz, R C, Falcao, A, Giorgi, McP, Imada, R, Nogueira, S A, Chalela, W A, Kalil Filho, R, Meneghetti, W A, Matveev, V V, Bubyenov, A S, Podzolkov, V I, Baranovich, V, Faibushevich, A, Kolzhecova, Y, Volkova, O, Fernandez, J, Lopez, G, Dondi, M, Paez, D, Butcher, Cjt, Reyes, E, Al-Housni, M B, Green, R, Santiago, H, Ghiotto, F, Hinton-Taylor, S, Pottle, A, Mason, M, Underwood, S R, Casans Tormo, I, Diaz-Exposito, R, Plancha-Burguera, E, Elsaban, K, Alsakhri, Hijji, Yoshinaga, K, Ochi, N, Tomiyama, Y, Katoh, C, Inoue, M, Nishida, M, Suzuki, E, Manabe, O, Ito, Y M, Tamaki, N, Tahilyani, A, Jafary, Fahim, Ho Hee Hwa, H H, Ozdemir, S, Kirilmaz, B, Barutcu, A, Tan, Y Z, Celik, F, Sakgoz, S, Cabada Gamboa, M, Puente Barragan, A, Morales Vitorino, N, Medina Servin, M A, Hindorf, C, Akil, S, Hedeer, F, Jogi, J, Engblom, H, Martire, V D, Pis Diez, E R, Martire, M V, Portillo, D O, Hoff, C M, Balche, A, Majgaard, J, Tolbod, L P, Harms, H J, Soerensen, J, Froekiaer, J, Nudi, F, Neri, G, Procaccini, E, Pinto, A, Vetere, M, Biondi-Zoccai, G, Soares, J, Do Val, R, Oliveira, M A, Meneghetti, J C, Tekabe, Y, Anthony, T, Li, Q, Schmidt, A M, Johnson, L, Groenman, M, Tarkia, M, Kakela, M, Halonen, P, Kiviniemi, T, Pietila, M, Yla-Herttuala, S, Roivainen, A, Nekolla, S, Swirzek, S, Higuchi, T, Reder, S, Schachoff, S, Bschorner, M, Laitinen, I, Robinson, S, Yousefi, B, Schwaiger, M, Kero, Tanja, Lindsjo, L, Antoni, Gunnar, Westermark, P, Carlson, K, Wikstrom, G, Sörensen, Jens, Lubberink, Mark, Rouzet, F, Cognet, T, Guedj, K, Morvan, M, El Shoukr, F, Louedec, L, Choqueux, C, Nicoletti, A, Le Guludec, D, Jimenez-Heffernan, A, Munoz-Beamud, F, Sanchez De Mora, E, Borrachero, C, Salgado, C, Ramos-Font, C, Lopez-Martin, J, Hidalgo, M L, Lopez-Aguilar, R, Soriano, E, Okizaki, A, Nakayama, M, Ishitoya, S, Sato, J, Takahashi, K, Burchert, I, Caobelli, F, Wollenweber, T, Nierada, M, Fulsche, J, Dieckmann, C, Bengel, F M, Shuaib, S, Mahlum, D, Port, S, Refoyo, E, Cuesta, E, Guzman, G, Lopez, T, Valbuena, S, Del Prado, S, Moreno, M, Harbinson, M, Donnelly, L, Einstein, A J, Johnson, L L, Deluca, A J, Kontak, A C, Groves, D W, Stant, J, Pozniakoff, T, Cheng, B, Rabbani, L E, Bokhari, S, Schuetze, C, Aguade-Bruix, S, Pizzi, M N, Romero-Farina, G, Terricabras, M, Villasboas, D, Castell-Conesa, J, Candell-Riera, J, Brunner, S, Gross, L, Todica, A, Lehner, S, Di Palo, A, Niccoli Asabella, A, Magarelli, C, Notaristefano, A, Ferrari, C, Rubini, G, Sellem, A, Melki, S, Elajmi, W, Hammami, H, Ziadi, M C, Montero, J, Ameriso, J L, Villavicencio, R L, Benito Gonzalez, T F, Mayorga Bajo, A, Gutierrez Caro, R, Rodriguez Santamarta, M, Alvarez Roy, L, Martinez Paz, E, Barinaga Martin, C, Martin Fernandez, J, Alonso Rodriguez, D, Iglesias Garriz, I, Rosillo, S, Taleb, S, Cherkaoui Salhi, G, Regbaoui, Y, Ait Idir, M, Guensi, A, Martin Lopez, C E, and Castano Ruiz, M

Published
2015
Full Text
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14. Poster Session 2: Monday 4 May 2015, 08:00-18:00 * Room: Poster Area

Author

Bouyoucef, S. E., primary, Uusitalo, V., additional, Kamperidis, V., additional, De Graaf, M., additional, Maaniitty, T., additional, Stenstrom, I., additional, Broersen, A., additional, Scholte, A., additional, Saraste, A., additional, Bax, J., additional, Knuuti, J., additional, Furuhashi, T., additional, Moroi, M., additional, Awaya, T., additional, Masai, H., additional, Minakawa, M., additional, Kunimasa, T., additional, Fukuda, H., additional, Sugi, K., additional, Berezin, A., additional, Kremzer, A., additional, Clerc, O., additional, Kaufmann, B., additional, Possner, M., additional, Liga, R., additional, Vontobel, J., additional, Mikulicic, F., additional, Graeni, C., additional, Benz, D., additional, Kaufmann, P., additional, Buechel, R., additional, Ferreira, M., additional, Cunha, M., additional, Albuquerque, A., additional, Ramos, D., additional, Costa, G., additional, Lima, J., additional, Pego, M., additional, Peix, A., additional, Cisneros, L., additional, Cabrera, L., additional, Padron, K., additional, Rodriguez, L., additional, Heres, F., additional, Carrillo, R., additional, Mena, E., additional, Fernandez, Y., additional, Huizing, E., additional, Van Dijk, J., additional, Van Dalen, J., additional, Timmer, J., additional, Ottervanger, J., additional, Slump, C., additional, Jager, P., additional, Venuraju, S., additional, Jeevarethinam, A., additional, Yerramasu, A., additional, Atwal, S., additional, Mehta, V., additional, Lahiri, A., additional, Arjonilla Lopez, A., additional, Calero Rueda, M. J., additional, Gallardo, G., additional, Fernandez-Cuadrado, J., additional, Hernandez Aceituno, D., additional, Sanchez Hernandez, J., additional, Yoshida, H., additional, Mizukami, A., additional, Matsumura, A., additional, Smettei, O., additional, Abazid, R., additional, Sayed, S., additional, Mlynarska, A., additional, Mlynarski, R., additional, Golba, K., additional, Sosnowski, M., additional, Winther, S., additional, Svensson, M., additional, Jorgensen, H., additional, Bouchelouche, K., additional, Gormsen, L., additional, Holm, N., additional, Botker, H., additional, Ivarsen, P., additional, Bottcher, M., additional, Cortes, C. M., additional, Aramayo G, E., additional, Daicz, M., additional, Casuscelli, J., additional, Alaguibe, E., additional, Neira Sepulveda, A., additional, Cerda, M., additional, Ganum, G., additional, Embon, M., additional, Vigne, J., additional, Enilorac, B., additional, Lebasnier, A., additional, Valancogne, L., additional, Peyronnet, D., additional, Manrique, A., additional, Agostini, D., additional, Menendez, D., additional, Rajpal, S., additional, Kocherla, C., additional, Acharya, M., additional, Reddy, P., additional, Sazonova, I., additional, Ilushenkova, Y., additional, Batalov, R., additional, Rogovskaya, Y., additional, Lishmanov, Y., additional, Popov, S., additional, Varlamova, N., additional, Prado Diaz, S., additional, Jimenez Rubio, C., additional, Gemma, D., additional, Refoyo Salicio, E., additional, Valbuena Lopez, S., additional, Moreno Yanguela, M., additional, Torres, M., additional, Fernandez-Velilla, M., additional, Lopez-Sendon, J., additional, Guzman Martinez, G., additional, Puente, A., additional, Rosales, S., additional, Martinez, C., additional, Cabada, M., additional, Melendez, G., additional, Ferreira, R., additional, Gonzaga, A., additional, Santos, J., additional, Vijayan, S., additional, Smith, S., additional, Smith, M., additional, Muthusamy, R., additional, Takeishi, Y., additional, Oikawa, M., additional, Goral, J. L., additional, Napoli, J., additional, Montana, O., additional, Damico, A., additional, Quiroz, M., additional, Forcada, P., additional, Schmidberg, J., additional, Zucchiatti, N., additional, Olivieri, D., additional, Dumo, A., additional, Ruano, S., additional, Rakhit, R., additional, Davar, J., additional, Nair, D., additional, Cohen, M., additional, Darko, D., additional, Yokota, S., additional, Maas, A., additional, Mouden, M., additional, Knollema, S., additional, Sanja Mazic, S., additional, Lazovic, B., additional, Marina Djelic, M., additional, Jelena Suzic Lazic, J., additional, Tijana Acimovic, T., additional, Milica Deleva, M., additional, Vesnina, Z., additional, Zafrir, N., additional, Bental, T., additional, Mats, I., additional, Solodky, A., additional, Gutstein, A., additional, Hasid, Y., additional, Belzer, D., additional, Kornowski, R., additional, Ben Said, R., additional, Ben Mansour, N., additional, Ibn Haj Amor, H., additional, Chourabi, C., additional, Hagui, A., additional, Fehri, W., additional, Hawala, H., additional, Shugushev, Z., additional, Patrikeev, A., additional, Maximkin, D., additional, Chepurnoy, A., additional, Kallianpur, V., additional, Mambetov, A., additional, Dokshokov, G., additional, Teresinska, A., additional, Wozniak, O., additional, Maciag, A., additional, Wnuk, J., additional, Dabrowski, A., additional, Czerwiec, A., additional, Jezierski, J., additional, Biernacka, K., additional, Robinson, J., additional, Prosser, J., additional, Cheung, G., additional, Allan, S., additional, Mcmaster, G., additional, Reid, S., additional, Tarbuck, A., additional, Martin, W., additional, Queiroz, R., additional, Falcao, A., additional, Giorgi, M., additional, Imada, R., additional, Nogueira, S., additional, Chalela, W., additional, Kalil Filho, R., additional, Meneghetti, W., additional, Matveev, V., additional, Bubyenov, A., additional, Podzolkov, V., additional, Baranovich, V., additional, Faibushevich, A., additional, Kolzhecova, Y., additional, Volkova, O., additional, Fernandez, J., additional, Lopez, G., additional, Dondi, M., additional, Paez, D., additional, Butcher, C., additional, Reyes, E., additional, Al-Housni, M., additional, Green, R., additional, Santiago, H., additional, Ghiotto, F., additional, Hinton-Taylor, S., additional, Pottle, A., additional, Mason, M., additional, Underwood, S., additional, Casans Tormo, I., additional, Diaz-Exposito, R., additional, Plancha-Burguera, E., additional, Elsaban, K., additional, Alsakhri, H., additional, Yoshinaga, K., additional, Ochi, N., additional, Tomiyama, Y., additional, Katoh, C., additional, Inoue, M., additional, Nishida, M., additional, Suzuki, E., additional, Manabe, O., additional, Ito, Y., additional, Tamaki, N., additional, Tahilyani, A., additional, Jafary, F., additional, Ho Hee Hwa, H., additional, Ozdemir, S., additional, Kirilmaz, B., additional, Barutcu, A., additional, Tan, Y., additional, Celik, F., additional, Sakgoz, S., additional, Cabada Gamboa, M., additional, Puente Barragan, A., additional, Morales Vitorino, N., additional, Medina Servin, M., additional, Hindorf, C., additional, Akil, S., additional, Hedeer, F., additional, Jogi, J., additional, Engblom, H., additional, Martire, V., additional, Pis Diez, E., additional, Martire, M., additional, Portillo, D., additional, Hoff, C., additional, Balche, A., additional, Majgaard, J., additional, Tolbod, L., additional, Harms, H., additional, Soerensen, J., additional, Froekiaer, J., additional, Nudi, F., additional, Neri, G., additional, Procaccini, E., additional, Pinto, A., additional, Vetere, M., additional, Biondi-Zoccai, G., additional, Soares, J., additional, Do Val, R., additional, Oliveira, M., additional, Meneghetti, J., additional, Tekabe, Y., additional, Anthony, T., additional, Li, Q., additional, Schmidt, A., additional, Johnson, L., additional, Groenman, M., additional, Tarkia, M., additional, Kakela, M., additional, Halonen, P., additional, Kiviniemi, T., additional, Pietila, M., additional, Yla-Herttuala, S., additional, Roivainen, A., additional, Nekolla, S., additional, Swirzek, S., additional, Higuchi, T., additional, Reder, S., additional, Schachoff, S., additional, Bschorner, M., additional, Laitinen, I., additional, Robinson, S., additional, Yousefi, B., additional, Schwaiger, M., additional, Kero, T., additional, Lindsjo, L., additional, Antoni, G., additional, Westermark, P., additional, Carlson, K., additional, Wikstrom, G., additional, Sorensen, J., additional, Lubberink, M., additional, Rouzet, F., additional, Cognet, T., additional, Guedj, K., additional, Morvan, M., additional, El Shoukr, F., additional, Louedec, L., additional, Choqueux, C., additional, Nicoletti, A., additional, Le Guludec, D., additional, Jimenez-Heffernan, A., additional, Munoz-Beamud, F., additional, Sanchez De Mora, E., additional, Borrachero, C., additional, Salgado, C., additional, Ramos-Font, C., additional, Lopez-Martin, J., additional, Hidalgo, M., additional, Lopez-Aguilar, R., additional, Soriano, E., additional, Okizaki, A., additional, Nakayama, M., additional, Ishitoya, S., additional, Sato, J., additional, Takahashi, K., additional, Burchert, I., additional, Caobelli, F., additional, Wollenweber, T., additional, Nierada, M., additional, Fulsche, J., additional, Dieckmann, C., additional, Bengel, F., additional, Shuaib, S., additional, Mahlum, D., additional, Port, S., additional, Refoyo, E., additional, Cuesta, E., additional, Guzman, G., additional, Lopez, T., additional, Valbuena, S., additional, Del Prado, S., additional, Moreno, M., additional, Harbinson, M., additional, Donnelly, L., additional, Einstein, A. J., additional, Johnson, L. L., additional, Deluca, A. J., additional, Kontak, A. C., additional, Groves, D. W., additional, Stant, J., additional, Pozniakoff, T., additional, Cheng, B., additional, Rabbani, L. E., additional, Bokhari, S., additional, Schuetze, C., additional, Aguade-Bruix, S., additional, Pizzi, M., additional, Romero-Farina, G., additional, Terricabras, M., additional, Villasboas, D., additional, Castell-Conesa, J., additional, Candell-Riera, J., additional, Brunner, S., additional, Gross, L., additional, Todica, A., additional, Lehner, S., additional, Di Palo, A., additional, Niccoli Asabella, A., additional, Magarelli, C., additional, Notaristefano, A., additional, Ferrari, C., additional, Rubini, G., additional, Sellem, A., additional, Melki, S., additional, Elajmi, W., additional, Hammami, H., additional, Ziadi, M., additional, Montero, J., additional, Ameriso, J., additional, Villavicencio, R., additional, Benito Gonzalez, T. F., additional, Mayorga Bajo, A., additional, Gutierrez Caro, R., additional, Rodriguez Santamarta, M., additional, Alvarez Roy, L., additional, Martinez Paz, E., additional, Barinaga Martin, C., additional, Martin Fernandez, J., additional, Alonso Rodriguez, D., additional, Iglesias Garriz, I., additional, Rosillo, S., additional, Taleb, S., additional, Cherkaoui Salhi, G., additional, Regbaoui, Y., additional, Ait Idir, M., additional, Guensi, A., additional, Martin Lopez, C. E., additional, and Castano Ruiz, M., additional

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2015
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17. Abstracts

Author

Dunet, V., primary, Dabiri, A., additional, Allenbach, G., additional, Goyeneche Achigar, A., additional, Waeber, B., additional, Feihl, F., additional, Heinzer, R., additional, Prior, J. O., additional, Van Velzen, J. E., additional, Schuijf, J. D., additional, De Graaf, F. R., additional, De Graaf, M. A., additional, Schalij, M. J., additional, Kroft, L. J., additional, De Roos, A., additional, Jukema, J. W., additional, Van Der Wall, E. E., additional, Bax, J. J., additional, Lankinen, E., additional, Saraste, A., additional, Noponen, T., additional, Klen, R., additional, Teras, M., additional, Kokki, T., additional, Kajander, S., additional, Pietila, M., additional, Ukkonen, H., additional, Knuuti, J., additional, Pazhenkottil, A. P., additional, Nkoulou, R. N., additional, Ghadri, J. R., additional, Herzog, B. A., additional, Buechel, R. R., additional, Kuest, S. M., additional, Wolfrum, M., additional, Gaemperli, O., additional, Husmann, L., additional, Kaufmann, P. A., additional, Andreini, D., additional, Pontone, G., additional, Mushtaq, S., additional, Antonioli, L., additional, Bertella, E., additional, Formenti, A., additional, Cortinovis, S., additional, Ballerini, G., additional, Fiorentini, C., additional, Pepi, M., additional, Koh, A. S., additional, Flores, J. S., additional, Keng, F. Y. J., additional, Tan, R. S., additional, Chua, T. S. J., additional, Annoni, A. D., additional, Tamborini, G., additional, Fusari, M., additional, Bartorelli, A. L., additional, Ewe, S. H., additional, Ng, A. C. T., additional, Delgado, V., additional, Schuijf, J., additional, Van Der Kley, F., additional, Colli, A., additional, De Weger, A., additional, Marsan, N. A., additional, Yiu, K. H., additional, Ng, A. C., additional, Timmer, S. A. J., additional, Knaapen, P., additional, Germans, T., additional, Dijkmans, P. A., additional, Lubberink, M., additional, Ten Berg, J. M., additional, Ten Cate, F. J., additional, Russel, I. K., additional, Lammertsma, A. A., additional, Van Rossum, A. C., additional, Wong, Y. Y., additional, Ruiter, G., additional, Raijmakers, P., additional, Van Der Laarse, W. J., additional, Westerhof, N., additional, Vonk-Noordegraaf, A., additional, Youssef, G., additional, Leung, E., additional, Wisenberg, G., additional, Marriot, C., additional, Williams, K., additional, Etele, J., additional, Dekemp, R. A., additional, Dasilva, J., additional, Birnie, D., additional, Beanlands, R. S. B., additional, Thompson, R. C., additional, Allam, A. H., additional, Wann, L. S., additional, Nureldin, A. H., additional, Adelmaksoub, G., additional, Badr, I., additional, Sutherland, M. L., additional, Sutherland, J. D., additional, Miyamoto, M. I., additional, Thomas, G. S., additional, Harms, H. J., additional, De Haan, S., additional, Huisman, M. C., additional, Schuit, R. C., additional, Windhorst, A. D., additional, Allaart, C., additional, Einstein, A. J., additional, Khawaja, T., additional, Greer, C., additional, Chokshi, A., additional, Jones, M., additional, Schaefle, K., additional, Bhatia, K., additional, Shimbo, D., additional, Schulze, P. C., additional, Srivastava, A., additional, Chettiar, R., additional, Moody, J., additional, Weyman, C., additional, Natale, D., additional, Bruni, W., additional, Liu, Y., additional, Ficaro, E., additional, Sinusas, A. J., additional, Peix, A., additional, Batista, E., additional, Cabrera, L. O., additional, Padron, K., additional, Rodriguez, L., additional, Sainz, B., additional, Mendoza, V., additional, Carrillo, R., additional, Fernandez, Y., additional, Mena, E., additional, Naum, A., additional, Bach-Gansmo, T., additional, Kleven-Madsen, N., additional, Biermann, M., additional, Johnsen, B., additional, Aase Husby, J., additional, Rotevatn, S., additional, Nordrehaug, J. E., additional, Schaap, J., additional, Kauling, R. M., additional, Post, M. C., additional, Rensing, B. J. W. M., additional, Verzijlbergen, J. F., additional, Sanchez, J., additional, Giamouzis, G., additional, Tziolas, N., additional, Georgoulias, P., additional, Karayannis, G., additional, Chamaidi, A., additional, Zavos, N., additional, Koutrakis, K., additional, Sitafidis, G., additional, Skoularigis, J., additional, Triposkiadis, F., additional, Radovanovic, S., additional, Djokovic, A., additional, Simic, D. V., additional, Krotin, M., additional, Savic-Radojevic, A., additional, Pljesa-Ercegovac, M., additional, Zdravkovic, M., additional, Saponjski, J., additional, Jelic, S., additional, Simic, T., additional, Eckardt, R., additional, Kjeldsen, B. J., additional, Andersen, L. I., additional, Haghfelt, T., additional, Grupe, P., additional, Johansen, A., additional, Hesse, B., additional, Pena, H., additional, Cantinho, G., additional, Wilk, M., additional, Srour, Y., additional, Godinho, F., additional, Zafrir, N., additional, Gutstein, A., additional, Mats, I., additional, Battler, A., additional, Solodky, A., additional, Sari, E., additional, Singh, N., additional, Vara, A., additional, Peters, A. M., additional, De Belder, A., additional, Nair, S., additional, Ryan, N., additional, James, R., additional, Dizdarevic, S., additional, Depuey, G., additional, Friedman, M., additional, Wray, R., additional, Old, R., additional, Babla, H., additional, Chuanyong, B., additional, Maddahi, J., additional, Tragardh Johansson, E., additional, Sjostrand, K., additional, Edenbrandt, L., additional, Aguade-Bruix, S., additional, Cuberas-Borros, G., additional, Pizzi, M. N., additional, Sabate-Fernandez, M., additional, De Leon, G., additional, Garcia-Dorado, D., additional, Castell-Conesa, J., additional, Candell-Riera, J., additional, Casset-Senon, D., additional, Edjlali-Goujon, M., additional, Alison, D., additional, Delhommais, A., additional, Cosnay, P., additional, Low, C. S., additional, Notghi, A., additional, O'brien, J., additional, Tweddel, A. C., additional, Bingham, N., additional, O Neil, P., additional, Harbinson, M., additional, Lindner, O., additional, Burchert, W., additional, Schaefers, M., additional, Marcassa, C., additional, Campini, R., additional, Calza, P., additional, Zoccarato, O., additional, Kisko, A., additional, Kmec, J., additional, Babcak, M., additional, Vereb, M., additional, Vytykacova, M., additional, Cencarik, J., additional, Gazdic, P., additional, Stasko, J., additional, Abreu, A., additional, Pereira, E., additional, Oliveira, L., additional, Colarinha, P., additional, Veloso, V., additional, Enriksson, I., additional, Proenca, G., additional, Delgado, P., additional, Rosario, L., additional, Sequeira, J., additional, Kosa, I., additional, Vassanyi, I., additional, Egyed, C. S., additional, Kozmann, G. Y., additional, Morita, S., additional, Nanasato, M., additional, Nanbu, I., additional, Yoshida, Y., additional, Hirayama, H., additional, Allam, A., additional, Sharef, A., additional, Shawky, I., additional, Farid, M., additional, Mouden, M., additional, Ottervanger, J. P., additional, Timmer, J. R., additional, De Boer, M. J., additional, Reiffers, S., additional, Jager, P. L., additional, Knollema, S., additional, Nasr, G. M., additional, Mohy Eldin, M., additional, Ragheb, M., additional, Casans-Tormo, I., additional, Diaz-Exposito, R., additional, Hurtado-Mauricio, F. J., additional, Ruano, R., additional, Diego, M., additional, Gomez-Caminero, F., additional, Albarran, C., additional, Martin De Arriba, A., additional, Rosero, A., additional, Lopez, R., additional, Martin Luengo, C., additional, Garcia-Talavera, J. R., additional, Laitinen, I. E. K., additional, Rudelius, M., additional, Weidl, E., additional, Henriksen, G., additional, Wester, H. J., additional, Schwaiger, M., additional, Pan, X. B., additional, Schindler, T., additional, Quercioli, A., additional, Zaidi, H., additional, Ratib, O., additional, Declerck, J. M., additional, Alexanderson Rosas, E., additional, Jacome, R., additional, Jimenez-Santos, M., additional, Romero, E., additional, Pena-Cabral, M. A., additional, Meave, A., additional, Gonzalez, J., additional, Rouzet, F., additional, Bachelet, L., additional, Alsac, J. M., additional, Suzuki, M., additional, Louedec, L., additional, Petiet, A., additional, Chaubet, F., additional, Letourneur, D., additional, Michel, J. B., additional, Le Guludec, D., additional, Aktas, A., additional, Cinar, A., additional, Yaman, G., additional, Bahceci, T., additional, Kavak, K., additional, Gencoglu, A., additional, Jimenez-Heffernan, A., additional, Sanchez De Mora, E., additional, Lopez-Martin, J., additional, Lopez-Aguilar, R., additional, Ramos, C., additional, Salgado, C., additional, Ortega, A., additional, Sanchez-Gonzalez, C., additional, Roa, J., additional, Tobaruela, A., additional, Nesterov, S. V., additional, Turta, O., additional, Maki, M., additional, Han, C., additional, Daou, D., additional, Tawileh, M., additional, Chamouine, S. O., additional, Coaguila, C., additional, Mariscal-Labrador, E., additional, Kisiel-Gonzalez, N., additional, De Araujo Goncalves, P., additional, Sousa, P. J., additional, Marques, H., additional, O'neill, J., additional, Pisco, J., additional, Cale, R., additional, Brito, J., additional, Gaspar, A., additional, Machado, F. P., additional, Roquette, J., additional, Martinez, M., additional, Melendez, G., additional, Kimura, E., additional, Ochoa, J. M., additional, Alessio, A. M., additional, Patel, A., additional, Lautamaki, R., additional, Bengel, F. M., additional, Bassingthwaighte, J. B., additional, Caldwell, J. H., additional, Rahbar, K., additional, Seifarth, H., additional, Schafers, M., additional, Stegger, L., additional, Spieker, T., additional, Hoffmeier, A., additional, Maintz, D., additional, Scheld, H., additional, Schober, O., additional, Weckesser, M., additional, Aoki, H., additional, Matsunari, I., additional, Kajinami, K., additional, Martin Fernandez, M., additional, Barreiro Perez, M., additional, Fernandez Cimadevilla, O. V., additional, Leon Duran, D., additional, Velasco Alonso, E., additional, Florez Munoz, J. P., additional, Luyando, L. H., additional, Templin, C., additional, Veltman, C. E., additional, Reiber, J. H. C., additional, Venuraju, S., additional, Yerramasu, A., additional, Atwal, S., additional, Lahiri, A., additional, Kunimasa, T., additional, Shiba, M., additional, Ishii, K., additional, Aikawa, J., additional, Kroner, E. S. J., additional, Ho, K. T., additional, Yong, Q. W., additional, Chua, K. C., additional, Panknin, C., additional, Roos, C. J., additional, Van Werkhoven, J. M., additional, Witkowska-Grzeslo, A. J., additional, Boogers, M. J., additional, Anand, D. V., additional, Dey, D., additional, Berman, D., additional, Mut, F., additional, Giubbini, R., additional, Lusa, L., additional, Massardo, T., additional, Iskandrian, A., additional, Dondi, M., additional, Sato, A., additional, Kakefuda, Y., additional, Ojima, E., additional, Adachi, T., additional, Atsumi, A., additional, Ishizu, T., additional, Seo, Y., additional, Hiroe, M., additional, Aonuma, K., additional, Kruk, M., additional, Pracon, R., additional, Kepka, C., additional, Pregowski, J., additional, Kowalewska, A., additional, Pilka, M., additional, Opolski, M., additional, Michalowska, I., additional, Dzielinska, Z., additional, Demkow, M., additional, Stoll, V., additional, Sabharwal, N., additional, Chakera, A., additional, Ormerod, O., additional, Fernandes, H., additional, Bernardes, M., additional, Martins, E., additional, Oliveira, P., additional, Vieira, T., additional, Terroso, G., additional, Oliveira, A., additional, Faria, T., additional, Ventura, F., additional, Pereira, J., additional, Fukuzawa, S., additional, Inagaki, M., additional, Sugioka, J., additional, Ikeda, A., additional, Okino, S., additional, Maekawa, J., additional, Uchiyama, T., additional, Kamioka, N., additional, Ichikawa, S., additional, Afshar, M., additional, Alvi, R., additional, Aguilar, N., additional, Ippili, R., additional, Shaqra, H., additional, Bella, J., additional, Bhalodkar, N., additional, Dos Santos, A., additional, Daicz, M., additional, Cendoya, L. O., additional, Marrero, H. G., additional, Casuscelli, J., additional, Embon, M., additional, Vera Janavel, G., additional, Duronto, E., additional, Gurfinkel, E. P., additional, Cortes, C. M., additional, Takeishi, Y., additional, Nakajima, K., additional, Yamasaki, Y., additional, Nishimura, T., additional, Hayes Brown, K., additional, Collado, F., additional, Alhaji, M., additional, Green, J., additional, Alexander, S., additional, Vashistha, R., additional, Jain, S., additional, Aldaas, F., additional, Shanes, J., additional, Doukky, R., additional, Ashikaga, K., additional, Akashi, Y. J., additional, Uemarsu, M., additional, Kamijima, R., additional, Yoneyama, K., additional, Omiya, K., additional, Miyake, Y., additional, Brodov, Y., additional, Raval, U., additional, Berezin, A., additional, Seden, V., additional, Koretskaya, E., additional, Panasenko, T. A., additional, Matsuo, S., additional, Kinuya, S., additional, Chen, J., additional, Van Bommel, R. J., additional, Van Der Hiel, B., additional, Dibbets-Schneider, P., additional, Garcia, E. V., additional, Rutten-Vermeltfoort, I., additional, Gevers, M. M. J., additional, Verhoeven, B., additional, Dijk Van, A. B., additional, Raaijmakers, E., additional, Raijmakers, P. G. H. M., additional, Engvall, J. E., additional, Gjerde, M., additional, De Geer, J., additional, Olsson, E., additional, Quick, P., additional, Persson, A., additional, Mazzanti, M., additional, Marini, M., additional, Pimpini, L., additional, Perna, G. P., additional, Marciano, C., additional, Gargiulo, P., additional, Galderisi, M., additional, D'amore, C., additional, Savarese, G., additional, Casaretti, L., additional, Paolillo, S., additional, Cuocolo, A., additional, Perrone Filardi, P., additional, Al-Amoodi, M., additional, Thompson, E. C., additional, Kennedy, K., additional, Bybee, K. A., additional, Mcghie, A. I., additional, O'keefe, J. H., additional, Bateman, T. M., additional, Van Der Palen, R. L. F., additional, Mavinkurve-Groothuis, A. M., additional, Bulten, B., additional, Bellersen, L., additional, Van Laarhoven, H. W. M., additional, Kapusta, L., additional, De Geus-Oei, L. F., additional, Pollice, P. P., additional, Bonifazi, M. B., additional, Pollice, F. P., additional, Clements, I. P., additional, Hodge, D. O., additional, Scott, C. G., additional, De Ville De Goyet, M., additional, Brichard, B., additional, Pirotte, T., additional, Moniotte, S., additional, Tio, R. A., additional, Elvan, A., additional, Dierckx, R. A. I. O., additional, Slart, R. H. J. A., additional, Furuhashi, T., additional, Moroi, M., additional, Hase, H., additional, Joki, N., additional, Masai, H., additional, Nakazato, R., additional, Fukuda, H., additional, Sugi, K., additional, Kryczka, K., additional, Kaczmarska, E., additional, Petryka, J., additional, Mazurkiewicz, L., additional, Ruzyllo, W., additional, Smanio, P., additional, Vieira Segundo, E., additional, Siqueira, M., additional, Kelendjian, J., additional, Ribeiro, J., additional, Alaca, J., additional, Oliveira, M., additional, Alves, F., additional, Peovska, I., additional, Maksimovic, J., additional, Vavlukis, M., additional, Kostova, N., additional, Pop Gorceva, D., additional, Majstorov, V., additional, Zdraveska, M., additional, Hussain, S., additional, Djearaman, M., additional, Hoey, E., additional, Morus, L., additional, Erinfolami, O., additional, Macnamara, A., additional, Opolski, M. P., additional, Witkowski, A., additional, Berti, V., additional, Ricci, F., additional, Gallicchio, R., additional, Acampa, W., additional, Cerisano, G., additional, Vigorito, C., additional, Sciagra', R., additional, Pupi, A., additional, Sliem, H., additional, Collado, F. M., additional, Schmidt, S., additional, Maheshwari, A., additional, Kiriakos, R., additional, Mwansa, V., additional, Ljubojevic, S., additional, Sedej, S., additional, Holzer, M., additional, Marsche, G., additional, Marijanski, V., additional, Kockskaemper, J., additional, Pieske, B., additional, Ricalde, A., additional, Alexanderson, G., additional, Mohani, A., additional, Khanna, P., additional, Sinusas, A., additional, Lee, F., additional, Pinas, V. A., additional, Van Eck-Smit, B. L. F., additional, Verberne, H. J., additional, De Bruin, C. M., additional, Guilhermina, G., additional, Jimenez-Angeles, L., additional, Ruiz De Jesus, O., additional, Yanez-Suarez, O., additional, Vallejo, E., additional, Reyes, E., additional, Chan, M., additional, Hossen, M. L., additional, Underwood, S. R., additional, Karu, A., additional, Bokhari, S., additional, Pineda, V., additional, Gracia-Sanchez, L. M., additional, Garcia-Burillo, A., additional, Zavadovskiy, K., additional, Lishmanov, Y. U., additional, Saushkin, W., additional, Kovalev, I., additional, Chernishov, A., additional, Annoni, A., additional, Tarkia, M., additional, Saanijoki, T., additional, Oikonen, V., additional, Savunen, T., additional, Green, M. A., additional, Strandberg, M., additional, Roivainen, A., additional, Gaeta, M. C., additional, Artigas, C., additional, Deportos, J., additional, Geraldo, L., additional, Flotats, A., additional, La Delfa, V., additional, Carrio, I., additional, Laarse, W. J., additional, Izquierdo Gomez, M. M., additional, Lacalzada Almeida, J., additional, Barragan Acea, A., additional, De La Rosa Hernandez, A., additional, Juarez Prera, R., additional, Blanco Palacios, G., additional, Bonilla Arjona, J. A., additional, Jimenez Rivera, J. J., additional, Iribarren Sarrias, J. L., additional, Laynez Cerdena, I., additional, Dedic, A., additional, Rossi, A., additional, Ten Kate, G. J. R., additional, Dharampal, A., additional, Moelker, A., additional, Galema, T. W., additional, Mollet, N., additional, De Feyter, P. J., additional, Nieman, K., additional, Trabattoni, D., additional, Broersen, A., additional, Frenay, M., additional, Boogers, M. M., additional, Kitslaar, P. H., additional, Dijkstra, J., additional, Annoni, D. A., additional, Muratori, M., additional, Johki, N., additional, Tokue, M., additional, Dharampal, A. S., additional, Weustink, A. C., additional, Neefjes, L. A. E., additional, Papadopoulou, S. L., additional, Chen, C., additional, Mollet, N. R. A., additional, Boersma, E. H., additional, Krestin, G. P., additional, Purvis, J. A., additional, Sharma, D., additional, Hughes, S. M., additional, Berman, D. S., additional, Taillefer, R., additional, Udelson, J., additional, Devine, M., additional, Lazewatsky, J., additional, Bhat, G., additional, Washburn, D., additional, Patel, D., additional, Mazurek, T., additional, Tandon, S., additional, Bansal, S., additional, Inzucchi, S., additional, Staib, L., additional, Davey, J., additional, Chyun, D., additional, Young, L., additional, Wackers, F., additional, Harbinson, M. T., additional, Wells, G., additional, Dougan, J., additional, Borges-Neto, S., additional, Phillips, H., additional, Farzaneh-Far, A., additional, Starr, Z., additional, Shaw, L. K., additional, Fiuzat, M., additional, O'connor, C., additional, Henzlova, M., additional, Duvall, W. 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C., additional, Genovesi, D., additional, Giorgetti, A., additional, Gimelli, A., additional, Cannizzaro, G., additional, Bertagna, F., additional, Fagioli, G., additional, Rossi, M., additional, Bonini, R., additional, Marzullo, P., additional, Paterson, C. A., additional, Smith, S. A., additional, Small, A. D., additional, Goodfield, N. E. R., additional, Martin, W., additional, Nekolla, S., additional, Sherif, H., additional, Reder, S., additional, Yu, M., additional, Kusch, A., additional, Li, D., additional, Zou, J., additional, Lloyd, M. S., additional, Cao, K., additional, Motherwell, D. W., additional, Rice, A., additional, Mccurrach, G. M., additional, Cobbe, S. M., additional, Petrie, M. C., additional, Al Younis, I., additional, Van Der Wall, E., additional, Mirza, T., additional, Raza, M., additional, Hashemizadeh, H., additional, Santos, L., additional, Krishna, B. 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B., additional, Aksoy, T., additional, Slavich, G. A., additional, Piccoli, G., additional, Puppato, M., additional, Grillone, S., additional, Gasparini, D., additional, Dunet, V., additional, Perruchoud, S., additional, Poitry-Yamate, C., additional, Lepore, M., additional, Gruetter, R., additional, Pedrazzini, T., additional, Anselm, D., additional, Anselm, A., additional, Atkins, H., additional, Renaud, J., additional, Dekemp, R., additional, Burwash, I., additional, Guo, A., additional, Beanlands, R., additional, Glover, C., additional, Vilardi, I., additional, Zangheri, B., additional, Calabrese, L., additional, Romano, P., additional, Bruno, A., additional, Fernandez Cimadevilla, O. C., additional, Uusitalo, V. A., additional, Luotolahti, M., additional, Wendelin-Saarenhovi, M., additional, Sundell, J., additional, Raitakari, O., additional, Huidu, S., additional, Gadiraju, R., additional, Ghesani, M., additional, Uddin, Q., additional, Wosnitzer, B., additional, Takahashi, N., additional, Alhaj, E., additional, Legasto, A., additional, Abiri, B., additional, Elsaban, K., additional, El Khouly, T., additional, El Kammash, T., additional, Al Ghamdi, A., additional, Kyung Deok, B., additional, Bon Seung, K., additional, Sang Geun, Y., additional, Chang Min, D., additional, and Gwan Hong, M., additional

Published
2011
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22. 2732

Author

Fujino, M., primary, Katoh, C., additional, Kaji, T., additional, Kubo, N., additional, Kato, N., additional, Onodera, S., additional, Shiga, T., additional, Aoyama, H., additional, Shirato, H., additional, and Tamaki, N., additional

Published
2006
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31. HF DOPPLER OSCILLATIONS DURING THE GEOMAGNETIC STORM OF FEBRURAY 6-9, 1986

Author

Ogawa, T., Kainuma, S., and Katoh, C.

Abstract

Some results of HF Doppler (HFD) measurements using the Communications Research Laboratory HFD network during the large geomagnetic storm of February 6-9, 1986 are reported. In association with the storm sudden commencement at 1312 UT on February 6, HFD frequency deviations belonging to an SCF(+-) type, which is believed to be caused by westward and subsequent eastward electric fields, were observed. Wave parameters of large-scale traveling ionospheric disturbances (period = 80-100 minutes, phase velocity = 440 m/s and horizontal wavelength= 2100- 2600 km) detected on the night of February 7 are almost completely consistent with those observed by the MU radar at Shigaraki. Very clear, sinusoidal HFD oscillations with a period of 2.5 minutes triggered by the sudden impulse at 1748 UT on February 9 were simultaneously accompanied with the geomagnetic pulsation. These HFD oscillations can be explained by the compressions and rarefactions of the ionospheric plasma due to the pulsation magnetic field., This special issue contains contributed papers presented at the symposium "Solar Terrestrial Events in February-March 1986" (January 19, 1989, Nagoya)

Published
1989

32. Tone signal generation device

Author

O Nippon Gakki Seizo K.K. Tokuji, Hayakawa C, O Nippon Gakki Seizo K.K. Mitsumi, and Katoh C

Subjects
Tone (musical instrument), Acoustics and Ultrasonics, Arts and Humanities (miscellaneous), Sampling (signal processing), Noise (signal processing), Combination tone, Acoustics, Musical tone, Signal, Tone control circuit, Mathematics, Interpolation
Abstract

A note clock generation circuit (15) generates note clock pulses in correspondence to a note name of tone to be generated. An octave rate data generation circuit (14) generates rate data in correspondence to the octave range to which the tone to be generated belongs. By performing addition or subtraction of the rate data at the timing of generation of the note clock pulses, an address signal is generated. A tone generator (17) generates a tone : waveshape in the form of amplitude sampled values in response to an integer section of this address signal. An interpolation circuit (18) performs interpolation between adjacent amplitude sampled values thus generated in response to a decimal section of the address signal. The rate of change of the decimal section of the address signal is changed in accordance with the tone range so that a finer interpolation is made as the tone range becomes lower. By this arrangement, decrease in an effective sampling fequency in the lower tone range can be prevented. The interpolation circuit (18) receives the amplitude sampled values and the interpolation parameter (i.e., the decimal section of the address signal) respectively in a pitch synchronized state and performs the interpolation operation in the pitch synchronized state. The timing of the interpolation operation thereby is synchronized with the pitch of the generated tone so that inharmonic noise components are substantially removed.

Published
1989
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36. Improvement in the estimation of perfusable tissue fraction and myocardial flow reserve in the ischemic myocardial lesions using ECG-gated dynamic myocardial PET with 15 O-water.

Author

Maruo A, Magota K, Munakata Y, Hirata K, and Katoh C

Subjects
Humans, Water, Reproducibility of Results, Constriction, Pathologic, Coronary Circulation, Positron-Emission Tomography methods, Electrocardiography, Percutaneous Coronary Intervention, Myocardial Perfusion Imaging methods, Coronary Artery Disease
Abstract

Objective: Perfusable tissue fraction (PTF) and myocardial flow reserve (MFR) from 15 O-water dynamic positron emission tomography (PET) are parameters of myocardial viability. However, myocardial motion causes errors in these values. We aimed to develop accurate estimation of PTF and MFR in ischemic lesions using an electro-cardiogram (ECG)-gated dynamic myocardial PET with 15 O-water., Methods: Twenty-seven patients with ischemic heart disease were enrolled. All patients underwent percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). List mode 3D PET data and ECG signals were acquired using Philips Gemini TF64 instrument. For each scan, 500 MBq of 15 O-water was infused slowly for 2 min, and the dynamic data were scanned for 6 min. Both non-gated dynamic images and ECG-gated diastolic dynamic images were reconstructed. On the myocardial PET images of each patient, the entire myocardial region of interest (ROI) was set and divided into 17 segments. Myocardial blood flow in the resting state (rest MBF), hyperemic state (stress MBF), PTF, and MFR in each segment were estimated from both non-gated and ECG-gated dynamic PET images. Coronary arteriograms were obtained for all patients. In total, 128 normal segments without stenosis and 50 ischemic segments with > 90% stenosis were evaluated., Results: In the ischemic myocardial segments, the PTF with ECG-gated PET was estimated as significantly lower than that with non-gated PET (0.63 ± 0.09 vs. 0.72 ± 0.08 [mL/mL], p < 0.001). The ECG-gated PET estimated a significantly lower PTF in the ischemic segments than in the normal segments (0.63 ± 0.09 vs. 0.67 ± 0.07 [mL/mL], p < 0.01). In the normal segments, the ECG-gated PET detected no significant difference in MFR compared with those from the non-gated PET (2.15 ± 0.76 vs. 2.24 ± 0.79, p = 0.28). However, in the ischemic myocardial segments, the MFR with ECG-gated PET was estimated as significantly lower than that with the non-gated PET (1.23 ± 0.29 vs. 1.69 ± 0.71, p < 0.001). The ECG-gated PET presented a significantly higher inter-observer reproducibility of PTF and rest MBF than the non-gated PET (p < 0.01). Neither stress MBF nor MFR yielded significant differences in inter-observer reproducibility between the ECG-gated and non-gated PET., Conclusions: The ECG-gated dynamic 15 O-water PET suppressed the myocardial motion effect and resulted in a lower PTF and MFR in ischemic myocardial lesions than the non-gated PET. The ECG-gated PET seemed to be better than the conventional non-gated dynamic PET for the detection of ischemic myocardial lesion., (© 2024. The Author(s) under exclusive licence to The Japanese Society of Nuclear Medicine.)

Published
2024
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37. A convolutional neural network-based system to estimate the arterial plasma radioactivity curve in 18 F-FDG dynamic brain PET study.

Author

Kawauchi K, Saito M, Nishigami K, and Katoh C

Abstract

Purpose: Quantitative images of metabolic activity can be derived through dynamic PET. However, the conventional approach necessitates invasive blood sampling to acquire the input function, thus limiting its noninvasive nature. The aim of this study was to devise a system based on convolutional neural network (CNN) capable of estimating the time-radioactivity curve of arterial plasma and accurately quantify the cerebral metabolic rate of glucose (CMRGlc) directly from PET data, thereby eliminating the requirement for invasive sampling., Methods: This retrospective investigation analyzed 29 patients with neurological disorders who underwent comprehensive whole-body 18 F-FDG-PET/CT examinations. Each patient received an intravenous infusion of 185 MBq of 18 F-FDG, followed by dynamic PET data acquisition and arterial blood sampling. A CNN architecture was developed to accurately estimate the time-radioactivity curve of arterial plasma., Results: The CNN estimated the time-radioactivity curve using the leave-one-out technique. In all cases, there was at least one frame with a prediction error within 10% in at least one frame. Furthermore, the correlation coefficient between CMRGlc obtained from the sampled blood and CNN yielded a highly significant value of 0.99., Conclusion: The time-radioactivity curve of arterial plasma and CMRGlc was determined from 18 F-FDG dynamic brain PET data using a CNN. The utilization of CNN has facilitated noninvasive measurements of input functions from dynamic PET data. This method can be applied to various forms of quantitative analysis of dynamic medical image data., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)

Published
2023
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38. Translocator protein imaging with 18 F-FEDAC-positron emission tomography in rabbit atherosclerosis and its presence in human coronary vulnerable plaques.

Author

Maekawa K, Tsuji AB, Yamashita A, Sugyo A, Katoh C, Tang M, Nishihira K, Shibata Y, Koshimoto C, Zhang MR, Nishii R, Yoshinaga K, and Asada Y

Abstract

Background and Aims: This study aimed to investigate whether N-benzyl-N-methyl-2-[7,8-dihydro-7-(2-[ 18 F]fluoroethyl)-8-oxo-2-phenyl-9H-purin-9-yl]acetamide ( 18 F-FEDAC), a probe for translocator protein (TSPO), can visualize atherosclerotic lesions in rabbits and whether TSPO is localized in human coronary plaques., Methods: 18 F-FEDAC-PET of a rabbit model of atherosclerosis induced by a 0.5% cholesterol diet and balloon injury of the left carotid artery (n = 7) was performed eight weeks after the injury. The autoradiography intensity of 18 F-FEDAC in carotid artery tissue sections was measured, and TSPO expression was evaluated immunohistochemically. TSPO expression was examined in human coronary arteries obtained from autopsy cases (n = 16), and in human coronary plaques (n = 12) aspirated from patients with acute myocardial infarction (AMI)., Results: 18 F-FEDAC-PET visualized the atherosclerotic lesions in rabbits as high-uptake areas, and the standard uptake value was higher in injured arteries (0.574 ± 0.24) than in uninjured arteries (0.277 ± 0.13, p < 0.05) or myocardium (0.189 ± 0.07, p < 0.05). Immunostaining showed more macrophages and more TSPO expression in atherosclerotic lesions than in uninjured arteries. TSPO was localized in macrophages, and arterial autoradiography intensity was positively correlated with macrophage concentration (r = 0.64) and TSPO (r = 0.67). TSPO expression in human coronary arteries was higher in AMI cases than in non-cardiac death, or in the vulnerable plaques than in early or stable lesions, respectively. TSPO was localized in macrophages in all aspirated coronary plaques with thrombi., Conclusions: 18 F-FEDAC-PET can visualize atherosclerotic lesions, and TSPO-expression may be a marker of high-risk coronary plaques., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2021
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39. Usefulness of a 3D-printing air sampler for capturing live airborne bacteria and exploring the environmental factors that can influence bacterial dynamics.

Author

Mori S, Ishiguro S, Miyazaki S, Okubo T, Omori R, Kai A, Sugiyama K, Kawashiro A, Sumi M, Thapa J, Nakamura S, Katoh C, and Yamaguchi H

Subjects
Air parasitology, Amoeba isolation & purification, Ciliophora isolation & purification, Soil parasitology, Soil Microbiology, Weather, Air Microbiology, Bacteria isolation & purification, Bacterial Load, Environmental Monitoring instrumentation, Printing, Three-Dimensional instrumentation
Abstract

We created a handmade 3D-printed air sampler to effectively collect live airborne bacteria, and determined which environmental factors influenced the bacteria. Bacterial colony forming units (CFUs) in the air samples (n = 37) were monitored by recording the environmental changes occurring over time, then determining the presence/absence of correlations among such changes. The bacterial CFUs changed sharply and were significantly correlated with the DNA concentrations, indicating that the captured bacteria made up most of the airborne bacteria. Spearman's rank correlation analysis revealed significant correlations between the bacterial CFU values and some environmental factors (humidity, wind speed, insolation, and 24-h rainfall). Similarly the significant associations of CFU with humidity and wind speed were also found by multiple regression analysis with box-cox transformation. Among our panel of airborne bacteria (952 strains), 70 strains were identified as soil-derived Bacillus via the production of Escherichia coli- and Staphylococcus aureus-growth inhibiting antibiotics and by 16S rDNA typing. Soil-derived protozoa were also isolated from the air samples. We conclude that the airborne bacteria mainly derived from soil can alter in number according to environmental changes. Our sampler, which was created by easy-to-customize 3D printing, is a useful device for understanding the dynamics of live airborne bacteria., Competing Interests: Declaration of competing interest The authors declare no conflicts of interest associated with this manuscript., (Copyright © 2021 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.)

Published
2021
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40. Elevated serum endothelin-1 is an independent predictor of coronary microvascular dysfunction in non-obstructive territories in patients with coronary artery disease.

Author

Naya M, Aikawa T, Manabe O, Obara M, Koyanagawa K, Katoh C, and Tamaki N

Subjects
Aged, Biomarkers blood, Coronary Angiography, Coronary Artery Disease diagnosis, Coronary Artery Disease physiopathology, Coronary Vessels diagnostic imaging, Female, Follow-Up Studies, Humans, Male, Positron Emission Tomography Computed Tomography, Prognosis, Retrospective Studies, Coronary Artery Disease blood, Coronary Circulation physiology, Coronary Vessels physiopathology, Endothelin-1 blood, Microcirculation physiology
Abstract

Endothelin-1 contributes to the constrictor response of the coronary arteries in patients with ischemia with normal coronary arteries. There is thus increasing evidence that endothelin-1 plays a role in coronary microvascular dysfunction (CMD). We investigated whether elevated endothelin-1 is associated with CMD in patients with coronary artery disease (CAD). We prospectively studied 49 consecutive CAD patients with 1- or 2-vessel disease (age 71 ± 10 years, 43 males). Myocardial blood flow (MBF) was measured by 15 O-water PET/CT at rest and during stress, and the coronary flow reserve (CFR) was calculated by dividing the stress MBF by the rest MBF. A CFR of less than 2.0 in non-obstructive regions was defined as a marker of CMD. Eighteen out of 49 (37%) CAD patients had CMD. Endothelin-1 in patients with CMD was significantly higher than in those without CMD (2.27 ± 0.81 vs. 1.64 ± 0.48 pg/mL, P = 0.001). Accordingly, univariate ROC analysis showed that the continuous endothelin-1 levels significantly discriminated between the presence and absence of CMD (area under the curve = 0.746 [95%CI 0.592-0.899]). The dichotomous treatment of elevated endothelin-1 as 1.961 pg/mL or more yielded the optimal discriminatory capacity, with a sensitivity of 72.2% and a specificity of 71.0%. High endothelin-1 was still a significant predictor of CMD after adjusting for diabetes mellitus (odds ratio = 6.64 [1.75-25.22], P = 0.005). Endothelin-1 is associated with CMD in non-obstructive territories in patients with CAD, suggesting that endothelin-1 is a potential target for treating CMD in CAD patients.

Published
2021
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41. Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images.

Author

Kawakami M, Hirata K, Furuya S, Kobayashi K, Sugimori H, Magota K, and Katoh C

Abstract

Deep learning technology is now used for medical imaging. YOLOv2 is an object detection model using deep learning. Here, we applied YOLOv2 to FDG-PET images to detect the physiological uptake on the images. We also investigated the detection precision of abnormal uptake by a combined technique with YOLOv2. Using 3,500 maximum intensity projection (MIP) images of 500 cases of whole-body FDG-PET examinations, we manually drew rectangular regions of interest with the size of each physiological uptake to create a dataset. Using YOLOv2, we performed image training as transfer learning by initial weight. We evaluated YOLOv2's physiological uptake detection by determining the intersection over union (IoU), average precision (AP), mean average precision (mAP), and frames per second (FPS). We also developed a combination method for detecting abnormal uptake by subtracting the YOLOv2-detected physiological uptake. We calculated the coverage rate, false-positive rate, and false-negative rate by comparing the combination method-generated color map with the abnormal findings identified by experienced radiologists. The APs for physiological uptakes were: brain, 0.993; liver, 0.913; and bladder, 0.879. The mAP was 0.831 for all classes with the IoU threshold value 0.5. Each subset's average FPS was 31.60 ± 4.66. The combination method's coverage rate, false-positive rate, and false-negative rate for detecting abnormal uptake were 0.9205 ± 0.0312, 0.3704 ± 0.0213, and 0.1000 ± 0.0774, respectively. The physiological uptake of FDG-PET on MIP images was quickly and precisely detected using YOLOv2. The combination method, which can be utilized the characteristics of the detector by YOLOv2, detected the radiologist-identified abnormalities with a high coverage rate. The detectability and fast response would thus be useful as a diagnostic tool., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2020 Kawakami, Hirata, Furuya, Kobayashi, Sugimori, Magota and Katoh.)

Published
2020
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42. Validation of regional myocardial blood flow quantification using three-dimensional PET with rubidium-82: repeatability and comparison with two-dimensional PET data acquisition.

Author

Manabe O, Klein R, Katoh C, Magota K, deKemp RA, Naya M, Tamaki N, and Yoshinaga K

Subjects
Adult, Female, Humans, Male, Coronary Circulation, Imaging, Three-Dimensional, Positron-Emission Tomography, Rubidium Radioisotopes
Abstract

Introduction: Three-dimensional (3D) data acquisition is now standard on PET/computed tomography scanners. The aim of this study was to evaluate the repeatability of myocardial blood flow (MBF) estimation with rubidium-82 (Rb) 3D PET and to validate regional MBF measurements by comparison with two-dimensional (2D) PET., Patients and Methods: Fifteen healthy individuals (31.6 ± 11.4 years old) were enrolled for the evaluation of the short-term repeatability of rest 3D MBF quantification. Another 19 healthy individuals (35.3 ± 12.6 years old) underwent rest and pharmacological stress PET using 2D and 3D data acquisition within a 1-month interval. The injected dose was 1500 MBq for 2D and 555 MBq for 3D PET acquisition., Results: MBF at rest showed good repeatability [whole left ventricular MBF; 0.54 ± 0.13 vs. 0.52 ± 0.13 mL/min/g, P = 0.98]. Rest MBF, stress MBF, and myocardial flow reserve (MFR) were not significantly different between 3D and 2D data acquisition. 3D MBF correlated well with 2D MBF over a wide flow range for both whole left ventricular (r = 0.97, P < 0.0001) and regional values (r = 0.61, P < 0.0001)., Conclusion: MBF measured with 3D PET showed very good test-retest repeatability. Whole left ventricular and regional MBF measurements obtained using lower Rb-dose 3D PET were highly correlated over a wide range with those from 2D PET. Therefore, MBF with 3D PET can be applied using a lower Rb dosage in clinical settings with reduced radiation exposure.

Published
2020
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43. Quantification of myocardial blood flow with 11 C-hydroxyephedrine dynamic PET: comparison with 15 O-H 2 O PET.

Author

Hiroshima Y, Manabe O, Naya M, Tomiyama Y, Magota K, Obara M, Aikawa T, Oyama-Manabe N, Yoshinaga K, Hirata K, Kroenke M, Tamaki N, and Katoh C

Subjects
Adult, Carbon Radioisotopes, Ephedrine analogs & derivatives, Humans, Oxygen Radioisotopes, Prospective Studies, Sympathetic Nervous System physiology, Water, Coronary Circulation physiology, Positron-Emission Tomography methods, Radiopharmaceuticals
Abstract

Background: 11 C-hydroxyephedrine (HED) PET has been used to evaluate the myocardial sympathetic nervous system (SNS). Here we sought to establish a simultaneous approach for quantifying both myocardial blood flow (MBF) and the SNS from a single HED PET scan., Methods: Ten controls and 13 patients with suspected cardiac disease were enrolled. The inflow rate of 11 C-HED (K1) was obtained using a one-tissue-compartment model. We compared this rate with the MBF derived from 15 O-H 2 O PET. In the controls, the relationship between K 1 from 11 C-HED PET and the MBF from 15 O-H 2 O PET was linked by the Renkin-Crone model., Results: The relationship between K 1 from 11 C-HED PET and the MBF from 15 O-H 2 O PET from the controls' data was approximated as follows: K 1   =  (1 - 0.891 * exp(- 0.146/MBF)) * MBF. In the validation set, the correlation coefficient demonstrated a significantly high relationship for both the whole left ventricle (r = 0.95, P < 0.001) and three coronary territories (left anterior descending artery: r = 0.96, left circumflex artery: r = 0.81, right coronary artery: r =  0.86; P < 0.001, respectively)., Conclusion: 11 C-HED can simultaneously estimate MBF and sympathetic nervous function without requiring an additional MBF scan for assessing mismatch areas between MBF and SNS.

Published
2020
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44. A convolutional neural network-based system to classify patients using FDG PET/CT examinations.

Author

Kawauchi K, Furuya S, Hirata K, Katoh C, Manabe O, Kobayashi K, Watanabe S, and Shiga T

Subjects
Abdominal Neoplasms classification, Adult, Aged, Aged, 80 and over, Artificial Intelligence, Female, Fluorodeoxyglucose F18, Head and Neck Neoplasms classification, Humans, Male, Middle Aged, Pelvic Neoplasms classification, Thoracic Neoplasms classification, Young Adult, Abdominal Neoplasms diagnostic imaging, Head and Neck Neoplasms diagnostic imaging, Neural Networks, Computer, Pelvic Neoplasms diagnostic imaging, Positron Emission Tomography Computed Tomography trends, Thoracic Neoplasms diagnostic imaging
Abstract

Background: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modality for oncology, the demands for automated detection systems on artificial intelligence (AI) to prevent human oversight and misdiagnosis are rapidly growing. We aimed to develop a convolutional neural network (CNN)-based system that can classify whole-body FDG PET as 1) benign, 2) malignant or 3) equivocal., Methods: This retrospective study investigated 3485 sequential patients with malignant or suspected malignant disease, who underwent whole-body FDG PET/CT at our institute. All the cases were classified into the 3 categories by a nuclear medicine physician. A residual network (ResNet)-based CNN architecture was built for classifying patients into the 3 categories. In addition, we performed a region-based analysis of CNN (head-and-neck, chest, abdomen, and pelvic region)., Results: There were 1280 (37%), 1450 (42%), and 755 (22%) patients classified as benign, malignant and equivocal, respectively. In the patient-based analysis, CNN predicted benign, malignant and equivocal images with 99.4, 99.4, and 87.5% accuracy, respectively. In region-based analysis, the prediction was correct with the probability of 97.3% (head-and-neck), 96.6% (chest), 92.8% (abdomen) and 99.6% (pelvic region), respectively., Conclusion: The CNN-based system reliably classified FDG PET images into 3 categories, indicating that it could be helpful for physicians as a double-checking system to prevent oversight and misdiagnosis.

Published
2020
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45. Volume-based glucose metabolic analysis of FDG PET/CT: The optimum threshold and conditions to suppress physiological myocardial uptake.

Author

Manabe O, Kroenke M, Aikawa T, Murayama A, Naya M, Masuda A, Oyama-Manabe N, Hirata K, Watanabe S, Shiga T, Katoh C, and Tamaki N

Subjects
Aged, Aorta, Thoracic diagnostic imaging, Blood Volume, Female, Heart Diseases metabolism, Heart Diseases physiopathology, Humans, Male, Middle Aged, Reproducibility of Results, Retrospective Studies, Fluorodeoxyglucose F18 pharmacokinetics, Glucose metabolism, Heart Diseases diagnostic imaging, Myocardium metabolism, Positron Emission Tomography Computed Tomography, Radiopharmaceuticals pharmacokinetics
Abstract

Objective: FDG PET/CT plays a significant role in the diagnosis of inflammatory heart diseases and cardiac tumors. We attempted to determine the optimal FDG uptake threshold for volume-based analyses and to evaluate the relationship between the myocardial physiological uptake volume in FDG PET and several clinical factors., Methods: A total of 190 patients were retrospectively analyzed. The cardiac metabolic volume (CMV) was defined as a volume within the boundary determined by a threshold (SUVmean of blood pool × 1.5)., Results: The SUVmean of the blood pool measured in the descending aorta (DA) (r = 0.86, intraclass correlation coefficient [ICC] = 0.93, P < 0.0001) and that in the left ventricle (LV) cavity (r = 0.87, ICC = 0.90, P < 0.0001) showed high inter-operator reproducibility. However, the SUVmean in the LV cavity showed a significant correlation with the CMV (P = 0.0002, r = 0.26). The CMV in the patients who fasted < 18 hours were significantly higher (49.7  ±  73.2 vs. 18.0  ±  53.8 mL, P = 0.0013) compared to the patients with > 18-hour fasting. The multivariate analysis demonstrated that only the fasting period > 18 hours was independently associated with CMV = 0., Conclusion: Our findings revealed that the DA is suitable to decide the threshold for the volume-based analysis. The fasting time was significantly associated with the cardiac FDG uptake.

Published
2019
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46. A convolutional neural network-based system to prevent patient misidentification in FDG-PET examinations.

Author

Kawauchi K, Hirata K, Katoh C, Ichikawa S, Manabe O, Kobayashi K, Watanabe S, Furuya S, and Shiga T

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Male, Middle Aged, Neural Networks, Computer, Positron Emission Tomography Computed Tomography, Retrospective Studies, Young Adult, Image Processing, Computer-Assisted methods, Pelvis diagnostic imaging
Abstract

Patient misidentification in imaging examinations has become a serious problem in clinical settings. Such misidentification could be prevented if patient characteristics such as sex, age, and body weight could be predicted based on an image of the patient, with an alert issued when a mismatch between the predicted and actual patient characteristic is detected. Here, we tested a simple convolutional neural network (CNN)-based system that predicts patient sex from FDG PET-CT images. This retrospective study included 6,462 consecutive patients who underwent whole-body FDG PET-CT at our institute. The CNN system was used for classifying these patients by sex. Seventy percent of the randomly selected images were used to train and validate the system; the remaining 30% were used for testing. The training process was repeated five times to calculate the system's accuracy. When images for the testing were given to the learned CNN model, the sex of 99% of the patients was correctly categorized. We then performed an image-masking simulation to investigate the body parts that are significant for patient classification. The image-masking simulation indicated the pelvic region as the most important feature for classification. Finally, we showed that the system was also able to predict age and body weight. Our findings demonstrate that a CNN-based system would be effective to predict the sex of patients, with or without age and body weight prediction, and thereby prevent patient misidentification in clinical settings.

Published
2019
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47. High-content imaging analyses of γH2AX-foci and micronuclei in TK6 cells elucidated genotoxicity of chemicals and their clastogenic/aneugenic mode of action.

Author

Takeiri A, Matsuzaki K, Motoyama S, Yano M, Harada A, Katoh C, Tanaka K, and Mishima M

Abstract

Background: The in vitro micronucleus (MN) test is an important component of a genotoxicity test battery that evaluates chemicals. Although the standard method of manually scoring micronucleated (MNed) cells by microscope is a reliable and standard method, it is laborious and time-consuming. A high-throughput assay system for detecting MN cells automatically has long been desired in the fields of pharmaceutical development or environmental risk monitoring. Although the MN test per se cannot clarify whether the mode of MN induction is aneugenic or clastogenic, this clarification may well be made possible by combining the MN test with an evaluation of γH2AX, a sensitive marker of DNA double strand breaks (DSB). In the present study, we aimed to establish a high-content (HC) imaging assay that automatically detects micronuclei (MNi) and simultaneously measures γH2AX foci in human lymphoblastoid TK6 cells., Results: TK6 cells were fixed on the bottom of each well in 96-well plates hypotonically, which spreads the cells thinly to detach MNi from the primary nuclei. Then, the number of MNi and immunocytochemically-stained γH2AX foci were measured using an imaging analyzer. The system correctly judged 4 non-genotoxins and 13 genotoxins, which included 9 clastogens and 4 aneugens representing various genotoxic mechanisms, such as DNA alkylation, cross-linking, topoisomerase inhibition, and microtubule disruption. Furthermore, all the clastogens induced both γH2AX foci and MNi, while the aneugens induced only MNi, not γH2AX foci; therefore, the HC imaging assay clearly discriminated the aneugens from the clastogens. Additionally, the test system could feasibly analyze cell cycle, to add information about a chemical's mode of action., Conclusions: A HC imaging assay to detect γH2AX foci and MNi in TK6 cells was established, and the assay provided information on the aneugenic/clastogenic mode of action., Competing Interests: Not applicable.Not applicable.The authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Published
2019
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48. Effects of coronary revascularization on global coronary flow reserve in stable coronary artery disease.

Author

Aikawa T, Naya M, Obara M, Manabe O, Magota K, Koyanagawa K, Asakawa N, Ito YM, Shiga T, Katoh C, Anzai T, Tsutsui H, Murthy VL, and Tamaki N

Subjects
Aged, Blood Flow Velocity, Coronary Angiography, Coronary Artery Disease diagnostic imaging, Coronary Artery Disease physiopathology, Coronary Stenosis diagnostic imaging, Coronary Stenosis physiopathology, Female, Humans, Japan, Male, Middle Aged, Myocardial Perfusion Imaging methods, Positron Emission Tomography Computed Tomography, Prospective Studies, Recovery of Function, Severity of Illness Index, Time Factors, Treatment Outcome, Coronary Artery Bypass adverse effects, Coronary Artery Disease therapy, Coronary Circulation, Coronary Stenosis therapy, Percutaneous Coronary Intervention adverse effects
Abstract

Aims: Coronary flow reserve (CFR) is an integrated measure of the entire coronary vasculature, and is a powerful prognostic marker in coronary artery disease (CAD). The extent to which coronary revascularization can improve CFR is unclear. This study aimed to evaluate the impact of percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) on CFR in patients with stable CAD., Methods and Results: In a prospective, multicentre observational study, CFR was measured by 15O-water positron emission tomography as the ratio of stress to rest myocardial blood flow at baseline and 6 months after optimal medical therapy (OMT) alone, PCI, or CABG. Changes in the SYNTAX and Leaman scores were angiographically evaluated as indicators of completeness of revascularization. Follow-up was completed by 75 (25 OMT alone, 28 PCI, and 22 CABG) out of 82 patients. The median SYNTAX and Leaman scores, and baseline CFR were 14.5 [interquartile range (IQR): 8-24.5], 5.5 (IQR: 2.5-12.5), and 1.94 (IQR: 1.67-2.66), respectively. Baseline CFR was negatively correlated with the SYNTAX (ρ = -0.40, P < 0.001) and Leaman scores (ρ = -0.33, P = 0.004). Overall, only CABG was associated with a significant increase in CFR [1.67 (IQR: 1.14-1.96) vs. 1.98 (IQR: 1.60-2.39), P < 0.001]. Among patients with CFR <2.0 (n = 41), CFR significantly increased in the PCI [1.70 (IQR: 1.42-1.79) vs. 2.21 (IQR: 1.78-2.49), P = 0.002, P < 0.001 for interaction between time and CFR] and CABG groups [1.28 (IQR: 1.13-1.80) vs. 1.86 (IQR: 1.57-2.22), P < 0.001]. The reduction in SYNTAX or Leaman scores after PCI or CABG was independently associated with the percent increase in CFR after adjusting for baseline characteristics (P = 0.012 and P = 0.011, respectively)., Conclusion: Coronary revascularization ameliorated reduced CFR in patients with obstructive CAD. The degree of improvement in angiographic CAD burden by revascularization was correlated with magnitude of improvement in CFR.

Published
2019
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49. Diagnostic value of quantitative coronary flow reserve and myocardial blood flow estimated by dynamic 320 MDCT scanning in patients with obstructive coronary artery disease.

Author

Obara M, Naya M, Oyama-Manabe N, Aikawa T, Tomiyama Y, Sasaki T, Kikuchi Y, Manabe O, Katoh C, Tamaki N, and Tsutsui H

Subjects
Aged, Area Under Curve, Computed Tomography Angiography methods, Coronary Circulation, Coronary Vessels diagnostic imaging, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, ROC Curve, Regional Blood Flow, Sensitivity and Specificity, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging, Fractional Flow Reserve, Myocardial physiology, Multidetector Computed Tomography methods, Myocardial Perfusion Imaging methods
Abstract

We have developed the method for dynamic 320-row multidetector computed tomography (MDCT)-derived quantitative coronary flow reserve (CFRCT) and hyperemic myocardial blood flow (MBFCT). We evaluated diagnostic value of CFRCT and hyperemic MBFCT for detecting obstructive coronary artery disease (CAD) in per-patient and per-vessel analysis, and their relations with the severity of CAD burden.Adenosine stressed and rest dynamic myocardial perfusion MDCT were prospectively performed in patients with known or suspected CAD. Per-patient and per-vessel MBFCT were estimated from dynamic perfusion images in rest and hyperemic phases, and per-patient and per-vessel CFRCT were calculated from the ratio of rest and hyperemic MBFCT. Degree of stenosis was evaluated by coronary CT angiography (CTA) and invasive coronary angiography (ICA). Obstructive stenosis was defined as ≥70% stenosis in ICA. CAD burden with MDCT was calculated by logarithm transformed coronary artery calcium (CAC) score and the CTA-adapted Leaman risk score (CT-LeSc). A logistic regression analysis was used to measure the receiver-operating characteristic curve and corresponding area under the curve (AUC) for the detection of obstructive CAD.Twenty-seven patients and 81 vessels were eligible for this study. Sixteen patients had obstructive CAD, and 31 vessels had obstructive stenosis. Using an optimal cutoff, the CFRCT and hyperemic MBFCT had the moderate diagnostic values in per-patient (AUC = 0.89 and 0.86, respectively) and per-vessel (AUC = 0.79 and 0.76, respectively). Per-patient CFRCT and hyperemic MBFCT exhibited a moderate inverse correlation with CAC score and the CT-LeSc.Per-patient and per-vessel CFRCT as well as hyperemic MBFCT had moderate diagnostic value for detecting obstructive CAD. These per-patient values exhibited a moderate inverse correlation with CAD burden. CFRCT and hyperemic MBFCT might add quantitative functional information for evaluating patients with CAD.

Published
2018
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50. Relationship between intelligence quotient (IQ) and cerebral metabolic rate of oxygen in patients with neurobehavioural disability after traumatic brain injury.

Author

Abiko K, Shiga T, Katoh C, Hirata K, Kuge Y, Kobayashi K, Ikeda S, and Ikoma K

Subjects
Adult, Brain Injuries, Traumatic diagnostic imaging, Female, Flumazenil metabolism, Humans, Intelligence Tests, Isotopes metabolism, Magnetic Resonance Imaging, Male, Middle Aged, Neurologic Examination, Oxygen Radioisotopes pharmacokinetics, Positron-Emission Tomography, Young Adult, Brain Injuries, Traumatic complications, Brain Injuries, Traumatic metabolism, Cognition Disorders etiology, Intelligence physiology, Oxygen metabolism
Abstract

Objective: Cerebral metabolism may play a significant role in neurobehavioural disability following traumatic brain injury (TBI). In this study, we examined the relationship between intelligence quotient (IQ) and the cerebral metabolic rate of oxygen (CMRO 2 ) in the lateral prefrontal cortex, which was measured by 15 O-labelled gas positron emission tomography (PET), in patients with TBI., Materials and Methods: The subjects were 12 patients (eight males and four females) who suffered from neurobehavioural disability following TBI. Their mean age was 33.3 years. The cause of injury was traffic accidents in all patients and the mean period after injury was 44.8 months. These patients underwent 15 O-labelled gas PET and tests using either the Wechsler Adult Intelligence Scale-Revised (WAIS-R) or the Wechsler Intelligence Scale for Children-Revised (WISC-R). Pearson's correlation between CMRO 2 and total IQ (TIQ) was calculated., Results: A statistically significant correlation was observed between TIQ and CMRO 2 in the right Brodmann areas (BAs) 44 and 45. The lower the WAIS score, the higher the CMRO 2 in both areas., Conclusion: Neurological function negatively correlated with the metabolism of oxygen. It was possible that changes in brain networks increased the neuronal activity in the undamaged areas and that the increased activity compensated for the function decline.

Published
2018
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