23 results on '"Schachoff S"'
Search Results
2. Herz PET/MR: was gibt es Neues?
- Author
-
Schachoff, S., additional, Villagran, A., additional, Notohamiprodjo, S., additional, Weber, W., additional, and Nekolla, S. G., additional
- Published
- 2023
- Full Text
- View/download PDF
3. Deep learning-based PSMA PET/MR pipeline improves pre-surgical Gleason score prediction
- Author
-
Solari, E. L., additional, Schachoff, S., additional, Rauscher, I., additional, Navab, N., additional, Weber, W., additional, Eiber, M., additional, and Nekolla, S. G., additional
- Published
- 2023
- Full Text
- View/download PDF
4. Data-driven bulk patient motion detection and correction in prostate PET/MRI
- Author
-
Bogdanovic, B, additional, Villagran Asiares, A, additional, Solari, EL, additional, Schachoff, S, additional, Pfeiffer, F, additional, Eiber, M, additional, Weber, W, additional, and Nekolla, SG, additional
- Published
- 2021
- Full Text
- View/download PDF
5. PSMA PET/MR radiomics to improve postsurgical Gleason score prediction in prostate cancer
- Author
-
Solari, EL, additional, Gafita, A, additional, Schachoff, S, additional, Visvikis, D, additional, Weber, W, additional, Eiber, M, additional, Hatt, M, additional, and Nekolla, SG, additional
- Published
- 2021
- Full Text
- View/download PDF
6. Ist die Genauigkeit der PET-MRT-Navigation am langen Röhrenknochen höher als die PET-Auflösung? Eine Kadaverstudie
- Author
-
Beck, M, additional, Militz, M, additional, Bader, R, additional, Hungerer, S, additional, Wenter, V, additional, Schachoff, S, additional, Weber, W, additional, and Stuby, F, additional
- Published
- 2020
- Full Text
- View/download PDF
7. 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
- View/download PDF
8. 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
- Published
- 2015
- Full Text
- View/download PDF
9. Vorschl�ge f�r standardisierte Untersuchungsprotokolle (schriftliche Anweisungen): Schilddr�se.
- Author
-
Grahneis, J and Schachoff, S
- Published
- 2004
- Full Text
- View/download PDF
10. Data-driven bulk patient motion detection and correction in prostate PET/MRI
- Author
-
Bogdanovic, B, Villagran Asiares, A, Solari, EL, Schachoff, S, Pfeiffer, F, Eiber, M, Weber, W, and Nekolla, SG
- Published
- 2021
- Full Text
- View/download PDF
11. PSMA PET/MR radiomics to improve postsurgical Gleason score prediction in prostate cancer
- Author
-
Solari, EL, Gafita, A, Schachoff, S, Visvikis, D, Weber, W, Eiber, M, Hatt, M, and Nekolla, SG
- Published
- 2021
- Full Text
- View/download PDF
12. Value of PET ECG gating in a cross-validation study of cardiac function assessment by PET/MR imaging.
- Author
-
Villagran Asiares A, Vitadello T, Bogdanovic B, Solari EL, McIntosh L, Schachoff S, Ibrahim T, and Nekolla SG
- Subjects
- Humans, Electrocardiography methods, Magnetic Resonance Imaging, Reproducibility of Results, Stroke Volume, Ventricular Function, Left, Positron-Emission Tomography methods
- Abstract
Background: This work investigated the impact of different cardiac gating methods on the assessment of cardiac function by FDG-PET in a cross-validation PET/MR study., Methods and Results: MR- and PET-based left ventricular end-diastolic, end-systolic volumes, and ejection fraction (EDV, ESV, and EF) were delineated in 30 patients with a PET/MR examination. Cardiac PET imaging was performed using three ECG gating methods: fixed number of gates per beat (STD), STD with a beat acceptance window (STD-BR), and fixed gate duration (FW). High MR-PET correlations were found in all the values. ESVs correlated better than EDVs and EFs: Pearson's r coefficient [0.92, 0.92, 0.92] in ESV vs [0.75, 0.81, 0.80] in EDV and [0.79, 0.91, 0.87] in EF, for each method [STD, STD-BR, FW]. Biases with respect to MRI for all the evaluated PET methods were less than 13% in EDV, 5% in ESV, and 14% in EF, but with wide limits of agreements, in the range (59-68)% in EDV, (65-70)% in ESV, and (49-71)% in EF. STD showed the strongest disagreement, while there were no marked differences between STD-BR and FW., Conclusion: Based on these findings, PET- and MR-based cardiac function parameters were highly correlated but in substantial disagreement with variabilities introduced by the selected PET ECG gating method. The most significant differences were associated with the ECG gating method susceptible to highly irregular beats, while similar performance was observed in the methods using uniform adjustment of gates width per beat with the beat acceptance window, and fixed gate width along all the beats. Thus, strict quality controls of R peak detection are needed to minimize its impact on the function assessment., (© 2022. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
13. Is there more than meets the eye in PSMA imaging in prostate cancer with PET/MRI? Looking closer at uptake time, correlation with PSA and Gleason score.
- Author
-
Bogdanovic B, Solari EL, Villagran Asiares A, van Marwick S, Schachoff S, Eiber M, Weber WA, and Nekolla SG
- Abstract
Background: In patients with increasing PSA and suspicion for prostate cancer, but previous negative biopsies, PET/MRI is used to test for tumours and target potential following biopsy. We aimed to determine different PSMA PET timing effects on signal kinetics and test its correlation with the patients' PSA and Gleason scores (GS)., Methods: A total of 100 patients were examined for 900 s using PET/MRI approximately 1-2 h p.i. depending on the tracer used (
68 Ga-PSMA-11,18 F-PSMA-1007 or18 F-rhPSMA7). The scans were reconstructed in static and dynamic mode (6 equal frames capturing "late" PSMA dynamics). TACs were computed for detected lesions as well as linear regression plots against time for static (SUV) and dynamic (SUV, SUL, and percent injected dose per gram) parameters. All computed trends were tested for correlation with PSA and GS., Results: Static and dynamic scans allowed unchanged lesion detection despite the difference in statistics. For all tracers, the lesions in the pelvic lymph nodes and bones had a mostly negative activity concentration trend (78% and 68%, resp.), while a mostly positive, stronger trend was found for the lesions in the prostate and prostatic fossa following RPE (84% and 83%, resp.). In case of68 Ga-PSMA-11, a strong negative (Rmin = - 0.62, Rmax = - 0.73) correlation was found between the dynamic parameters and the PSA.18 F-PSMA-1007 dynamic data showed no correlation with PSA, while for18 F-rhPSMA7 dynamic data, it was consistently low positive (Rmin = 0.29, Rmax = 0.33). All tracers showed only moderate correlation against GS (Rmin = 0.41, Rmax = 0.48). The static parameters showed weak correlation with PSA (Rmin = 0.24, Rmax = 0.36) and no correlation with GS., Conclusion: "Late" dynamic PSMA data provided additional insight into the PSMA kinetics. While a stable moderate correlation was found between the PSMA kinetics in pelvic lesions and GS, a significantly variable correlation with the PSA values was shown depending on the radiotracer used, the highest being consistently for68 Ga-PSMA-11. We reason that with such late dynamics, the PSMA kinetics are relatively stable and imaging could even take place at earlier time points as is now in the clinical routine., (© 2023. The Author(s).)- Published
- 2023
- Full Text
- View/download PDF
14. PET/MR Technology: Advancement and Challenges.
- Author
-
Bogdanovic B, Solari EL, Villagran Asiares A, McIntosh L, van Marwick S, Schachoff S, and Nekolla SG
- Subjects
- Humans, Magnetic Resonance Imaging, Positron-Emission Tomography
- Abstract
When this article was written, it coincided with the 11th anniversary of the installation of our PET/MR device in Munich. In fact, this was the first fully integrated device to be in clinical use. During this time, we have observed many interesting behaviors, to put it kindly. However, it is more critical that in this process, our understanding of the system also improved - including the advantages and limitations from a technical, logistical, and medical perspective. The last decade of PET/MRI research has certainly been characterized by most sites looking for a "key application." There were many ideas in this context and before and after the devices became available, some of which were based on the earlier work with integrating data from single devices. These involved validating classical PET methods with MRI (eg, perfusion or oncology diagnostics). More important, however, were the scenarios where intermodal synergies could be expected. In this review, we look back on this decade-long journey, at the challenges overcome and those still to come., (Copyright © 2021 Elsevier Inc. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
15. The added value of PSMA PET/MR radiomics for prostate cancer staging.
- Author
-
Solari EL, Gafita A, Schachoff S, Bogdanović B, Villagrán Asiares A, Amiel T, Hui W, Rauscher I, Visvikis D, Maurer T, Schwamborn K, Mustafa M, Weber W, Navab N, Eiber M, Hatt M, and Nekolla SG
- Subjects
- Humans, Male, Neoplasm Grading, Prostatectomy, Retrospective Studies, Multiparametric Magnetic Resonance Imaging, Prostatic Neoplasms pathology
- Abstract
Purpose: To evaluate the performance of combined PET and multiparametric MRI (mpMRI) radiomics for the group-wise prediction of postsurgical Gleason scores (psGSs) in primary prostate cancer (PCa) patients., Methods: Patients with PCa, who underwent [
68 Ga]Ga-PSMA-11 PET/MRI followed by radical prostatectomy, were included in this retrospective analysis (n = 101). Patients were grouped by psGS in three categories: ISUP grades 1-3, ISUP grade 4, and ISUP grade 5. mpMRI images included T1-weighted, T2-weighted, and apparent diffusion coefficient (ADC) map. Whole-prostate segmentations were performed on each modality, and image biomarker standardization initiative (IBSI)-compliant radiomic features were extracted. Nine support vector machine (SVM) models were trained: four single-modality radiomic models (PET, T1w, T2w, ADC); three PET + MRI double-modality models (PET + T1w, PET + T2w, PET + ADC), and two baseline models (one with patient data, one image-based) for comparison. A sixfold stratified cross-validation was performed, and balanced accuracies (bAcc) of the predictions of the best-performing models were reported and compared through Student's t-tests. The predictions of the best-performing model were compared against biopsy GS (bGS)., Results: All radiomic models outperformed the baseline models. The best-performing (mean ± stdv [%]) single-modality model was the ADC model (76 ± 6%), although not significantly better (p > 0.05) than other single-modality models (T1w: 72 ± 3%, T2w: 73 ± 2%; PET: 75 ± 5%). The overall best-performing model combined PET + ADC radiomics (82 ± 5%). It significantly outperformed most other double-modality (PET + T1w: 74 ± 5%, p = 0.026; PET + T2w: 71 ± 4%, p = 0.003) and single-modality models (PET: p = 0.042; T1w: p = 0.002; T2w: p = 0.003), except the ADC-only model (p = 0.138). In this initial cohort, the PET + ADC model outperformed bGS overall (82.5% vs 72.4%) in the prediction of psGS., Conclusion: All single- and double-modality models outperformed the baseline models, showing their potential in the prediction of GS, even with an unbalanced cohort. The best-performing model included PET + ADC radiomics, suggesting a complementary value of PSMA-PET and ADC radiomics., (© 2021. The Author(s).)- Published
- 2022
- Full Text
- View/download PDF
16. Almost 10 years of PET/MR attenuation correction: the effect on lesion quantification with PSMA: clinical evaluation on 200 prostate cancer patients.
- Author
-
Bogdanovic B, Gafita A, Schachoff S, Eiber M, Cabello J, Weber WA, and Nekolla SG
- Subjects
- Bone and Bones, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Positron-Emission Tomography, Multimodal Imaging, Prostatic Neoplasms diagnostic imaging
- Abstract
Purpose: After a decade of PET/MR, the case of attenuation correction (AC) remains open. The initial four-compartment (air, water, fat, soft tissue) Dixon-based AC scheme has since been expanded with several features, the latest being MR field-of-view extension and a bone atlas. As this potentially changes quantification, we evaluated the impact of these features in PET AC in prostate cancer patients., Methods: Two hundred prostate cancer patients were examined with either
18 F- or68 Ga-prostate-specific membrane antigen (PSMA) PET/MR. Qualitative and quantitative analysis (SUVmean , SUVmax , correlation, and statistical significance) was performed on images reconstructed using different AC schemes: Dixon, Dixon+MLAA, Dixon+HUGE, and Dixon+HUGE+bones for18 F-PSMA data; Dixon and Dixon+bones for68 Ga-PSMA data. Uptakes were compared using linear regression against standard Dixon., Results: High correlation and no visually perceivable differences between all evaluated methods (r > 0.996) were found. The mean relative difference in lesion uptake of18 F-PSMA and68 Ga-PSMA remained, respectively, within 4% and 3% in soft tissue, and within 10% and 9% in bones for all evaluated methods. Bone registration errors were detected, causing mean uptake change of 5% in affected lesions., Conclusions: Based on these results and the encountered bone atlas registration inaccuracy, we deduce that including bones and extending the MR field-of-view did not introduce clinically significant differences in PSMA diagnostic accuracy and tracer uptake quantification in prostate cancer pelvic lesions, facilitating the analysis of serial studies respectively. However, in the absence of ground truth data, we advise against atlas-based methods when comparing serial scans for bone lesions.- Published
- 2021
- Full Text
- View/download PDF
17. Biodistribution and radiation dosimetry of (68)Ga-PSMA HBED CC-a PSMA specific probe for PET imaging of prostate cancer.
- Author
-
Pfob CH, Ziegler S, Graner FP, Köhner M, Schachoff S, Blechert B, Wester HJ, Scheidhauer K, Schwaiger M, Maurer T, and Eiber M
- Subjects
- Absorption, Radiation, Aged, Antigens, Surface, Edetic Acid pharmacokinetics, Humans, Male, Middle Aged, Molecular Probe Techniques, Organ Specificity, Radiation Dosage, Radiopharmaceuticals pharmacokinetics, Tissue Distribution, Whole-Body Counting, Edetic Acid analogs & derivatives, Glutamate Carboxypeptidase II pharmacokinetics, Positron-Emission Tomography methods, Prostatic Neoplasms diagnostic imaging, Prostatic Neoplasms metabolism, Radiation Exposure analysis
- Abstract
Purpose: Positron emission tomography (PET) agents targeting the prostate-specific membrane antigen (PSMA) are currently under broad clinical and scientific investigation. (68)Ga-PSMA HBED-CC constitutes the first (68)Ga-labelled PSMA-inhibitor and has evolved as a promising agent for imaging PSMA expression in vivo. The aim of this study was to evaluate the whole-body distribution and radiation dosimetry of this new probe., Methods: Five patients with a history or high suspicion of prostate cancer were injected intravenously with a mean of 139.8 ± 13.7 MBq of (68)Ga-PSMA HBED-CC (range 120-158 MBq). Four static skull to mid-thigh scans using a whole-body fully integrated PET/MR-system were performed 10 min, 60 min, 130 min, and 175 min after the tracer injection. Time-dependent changes of the injected activity per organ were determined. Mean organ-absorbed doses and effective doses (ED) were calculated using OLINDA/EXM., Results: Injection of a standard activity of 150 MBq (68)Ga-PSMA HBED-CC resulted in a median effective dose of 2.37 mSv (Range 1.08E-02 - 2.46E-02 mSv/MBq). The urinary bladder wall (median absorbed dose 1.64E-01 mGv/MBq; range 8.76E-02 - 2.91E-01 mGv/MBq) was the critical organ, followed by the kidneys (median absorbed dose 1.21E-01 mGv/MBq; range 7.16E-02 - 1.75E-01), spleen (median absorbed dose 4.13E-02 mGv/MBq; range 1.57E-02 - 7.32E-02 mGv/MBq) and liver (median absorbed dose 2.07E-02 mGv/MBq; range 1.80E-02 - 2.57E-02 mGv/MBq). No drug-related pharmacological effects occurred., Conclusion: The use of (68)Ga-PSMA HBED-CC results in a relatively low radiation exposure, delivering organ doses that are comparable to those of other (68)Ga-labelled PSMA-inhibitors used for PET-imaging. Total effective dose is lower than for other PET-agents used for prostate cancer imaging (e.g. (11)C- and (18)F-Choline).
- Published
- 2016
- Full Text
- View/download PDF
18. An SPM8-based approach for attenuation correction combining segmentation and nonrigid template formation: application to simultaneous PET/MR brain imaging.
- Author
-
Izquierdo-Garcia D, Hansen AE, Förster S, Benoit D, Schachoff S, Fürst S, Chen KT, Chonde DB, and Catana C
- Subjects
- Algorithms, Bone and Bones diagnostic imaging, Brain pathology, Brain Mapping methods, Cognition Disorders diagnostic imaging, Cognition Disorders pathology, Glioblastoma pathology, Humans, Image Processing, Computer-Assisted, Neuroimaging, Reproducibility of Results, Skull diagnostic imaging, Brain diagnostic imaging, Glioblastoma diagnostic imaging, Magnetic Resonance Imaging, Positron-Emission Tomography
- Abstract
Unlabelled: We present an approach for head MR-based attenuation correction (AC) based on the Statistical Parametric Mapping 8 (SPM8) software, which combines segmentation- and atlas-based features to provide a robust technique to generate attenuation maps (μ maps) from MR data in integrated PET/MR scanners., Methods: Coregistered anatomic MR and CT images of 15 glioblastoma subjects were used to generate the templates. The MR images from these subjects were first segmented into 6 tissue classes (gray matter, white matter, cerebrospinal fluid, bone, soft tissue, and air), which were then nonrigidly coregistered using a diffeomorphic approach. A similar procedure was used to coregister the anatomic MR data for a new subject to the template. Finally, the CT-like images obtained by applying the inverse transformations were converted to linear attenuation coefficients to be used for AC of PET data. The method was validated on 16 new subjects with brain tumors (n = 12) or mild cognitive impairment (n = 4) who underwent CT and PET/MR scans. The μ maps and corresponding reconstructed PET images were compared with those obtained using the gold standard CT-based approach and the Dixon-based method available on the Biograph mMR scanner. Relative change (RC) images were generated in each case, and voxel- and region-of-interest-based analyses were performed., Results: The leave-one-out cross-validation analysis of the data from the 15 atlas-generation subjects showed small errors in brain linear attenuation coefficients (RC, 1.38% ± 4.52%) compared with the gold standard. Similar results (RC, 1.86% ± 4.06%) were obtained from the analysis of the atlas-validation datasets. The voxel- and region-of-interest-based analysis of the corresponding reconstructed PET images revealed quantification errors of 3.87% ± 5.0% and 2.74% ± 2.28%, respectively. The Dixon-based method performed substantially worse (the mean RC values were 13.0% ± 10.25% and 9.38% ± 4.97%, respectively). Areas closer to the skull showed the largest improvement., Conclusion: We have presented an SPM8-based approach for deriving the head μ map from MR data to be used for PET AC in integrated PET/MR scanners. Its implementation is straightforward and requires only the morphologic data acquired with a single MR sequence. The method is accurate and robust, combining the strengths of both segmentation- and atlas-based approaches while minimizing their drawbacks., (© 2014 by the Society of Nuclear Medicine and Molecular Imaging, Inc.)
- Published
- 2014
- Full Text
- View/download PDF
19. New SPM8-based MRAC method for simultaneous PET/MR brain images: comparison with state-of-the-art non-rigid registration methods.
- Author
-
Izquierdo-Garcia D, Chen KT, Hansen AE, Förster S, Benoit D, Schachoff S, Fürst S, Chonde DB, and Catana C
- Published
- 2014
- Full Text
- View/download PDF
20. Three-dimensional imaging of the aortic vessel wall using an elastin-specific magnetic resonance contrast agent.
- Author
-
Makowski MR, Preissel A, von Bary C, Warley A, Schachoff S, Keithan A, Cesati RR, Onthank DC, Schwaiger M, Robinson SP, and Botnar RM
- Subjects
- Animals, Aortic Diseases diagnosis, Aortic Diseases pathology, Disease Models, Animal, Feasibility Studies, Female, Molecular Imaging, Swine, Aorta, Thoracic pathology, Contrast Media, Elastin, Imaging, Three-Dimensional methods
- Abstract
Objective: The aim of this study was to demonstrate the feasibility of high-resolution 3-dimensional aortic vessel wall imaging using a novel elastin-specific magnetic resonance contrast agent (ESMA) in a large animal model., Materials and Methods: The thoracic aortic vessel wall of 6 Landrace pigs was imaged using a novel ESMA and a nonspecific control agent. On day 1, imaging was performed before and after the administration of a nonspecific control agent, gadolinium diethylenetriamine pentaacetic acid (Gd-DTPA; Bayer Schering AG, Berlin, Germany). On day 3, identical scans were repeated before and after the administration of a novel ESMA (Lantheus Medical Imaging, North Billerica, Massachusetts). Three-dimensional inversion recovery gradient echo delayed-enhancement imaging and magnetic resonance (MR) angiography of the thoracic aortic vessel wall were performed on a 1.5-T MR scanner (Achieva; Philips Medical Systems, the Netherlands). The signal-to-noise ratio and the contrast-to-noise ratio of arterial wall enhancement, including the time course of enhancement, were assessed for ESMA and Gd-DTPA. After the completion of imaging sessions, histology, electron microscopy, and inductively coupled plasma mass spectroscopy were performed to localize and quantify the gadolinium bound to the arterial vessel wall., Results: Administration of ESMA resulted in a strong enhancement of the aortic vessel wall on delayed-enhancement imaging, whereas no significant enhancement could be measured with Gd-DTPA. Ninety to 100 minutes after the administration of ESMA, significantly higher signal-to-noise ratio and contrast-to-noise ratio could be measured compared with the administration of Gd-DTPA (45.7 ± 9.6 vs 13.2 ± 3.5, P < 0.05 and 41.9 ± 9.1 vs 5.2 ± 2.0, P < 0.05). A significant correlation (0.96; P < 0.01) between area measurements derived from ESMA scans and aortic MR angiography scans could be found. Electron microscopy and inductively coupled plasma mass spectroscopy confirmed the colocalization of ESMA with elastic fibers., Conclusion: We demonstrate the feasibility of aortic vessel wall imaging using a novel ESMA in a large animal model under conditions resembling a clinical setting. Such an approach could be useful for the fast 3-dimensional assessment of the arterial vessel wall in the context of atherosclerosis, aortic aneurysms, and hypertension.
- Published
- 2012
- Full Text
- View/download PDF
21. MRI of coronary wall remodeling in a swine model of coronary injury using an elastin-binding contrast agent.
- Author
-
von Bary C, Makowski M, Preissel A, Keithahn A, Warley A, Spuentrup E, Buecker A, Lazewatsky J, Cesati R, Onthank D, Schickl N, Schachoff S, Hausleiter J, Schömig A, Schwaiger M, Robinson S, and Botnar R
- Subjects
- Angioplasty, Balloon, Coronary adverse effects, Angioplasty, Balloon, Coronary instrumentation, Animals, Coronary Angiography, Coronary Restenosis etiology, Coronary Restenosis metabolism, Coronary Vessels injuries, Coronary Vessels metabolism, Disease Models, Animal, Feasibility Studies, Female, Gadolinium DTPA, Heart Injuries etiology, Heart Injuries metabolism, Predictive Value of Tests, Stents, Swine, Time Factors, Vascular System Injuries etiology, Vascular System Injuries metabolism, Contrast Media metabolism, Coronary Restenosis pathology, Coronary Vessels pathology, Elastin metabolism, Heart Injuries pathology, Magnetic Resonance Imaging, Vascular System Injuries pathology
- Abstract
Background: The extracellular matrix (ECM) plays an important role in the pathogenesis of atherosclerosis and in-stent restenosis. Elastin is an essential component of the ECM. ECM degradation can lead to plaque destabilization, whereas enhanced synthesis typically leads to vessel wall remodeling resulting in arterial stenosis or in-stent restenosis after stent implantation. The objective of this study was to demonstrate the feasibility of MRI of vascular remodeling using a novel elastin-binding contrast agent (BMS-753951)., Methods and Results: Coronary injury was induced in 6 pigs by endothelial denudation and stent placement. At day 28, delayed-enhancement MRI coronary vessel wall imaging was performed before and after injection of gadolinium-diethylene triamine pentaacetic acid (Gd-DTPA). Two days later, DE-MRI was repeated after administration of BMS-753951. Contrast-to-noise-ratio and areas of enhancement were determined. Delayed-enhancement MRI with BMS-753951 caused strong enhancement of the aortic, pulmonary artery, and injured coronary artery walls, whereas Gd-DTPA did not. Delayed-enhancement MRI of the stented coronary artery with BMS-753951 yielded a 3-fold higher contrast-to-noise-ratio when compared with the balloon-injured and control coronary artery (21±6 versus 7±3 versus 6±4; P<0.001). The area of enhancement correlated well with the area of remodeling obtained from histological data (R(2)=0.86, P<0.05)., Conclusions: We demonstrate the noninvasive detection and quantification of vascular remodeling in an animal model of coronary vessel wall injury using an elastin-specific MR contrast agent. This novel approach may be useful for the assessment of coronary vessel wall remodeling in patients with suspected coronary artery disease. Further studies in atherosclerotic animal models and degenerative ECM disease are now warranted.
- Published
- 2011
- Full Text
- View/download PDF
22. Serial contrast-enhanced cardiac magnetic resonance imaging demonstrates regression of hyperenhancement within the coronary artery wall in patients after acute myocardial infarction.
- Author
-
Ibrahim T, Makowski MR, Jankauskas A, Maintz D, Karch M, Schachoff S, Manning WJ, Schömig A, Schwaiger M, and Botnar RM
- Subjects
- Aged, C-Reactive Protein metabolism, Case-Control Studies, Coronary Angiography, Coronary Stenosis complications, Coronary Stenosis immunology, Coronary Stenosis therapy, Coronary Vessels immunology, Drug-Eluting Stents, Female, Humans, Inflammation complications, Inflammation immunology, Inflammation Mediators metabolism, Male, Middle Aged, Myocardial Infarction etiology, Myocardial Infarction immunology, Myocardial Infarction therapy, Predictive Value of Tests, Prospective Studies, Time Factors, Treatment Outcome, Angioplasty, Balloon, Coronary instrumentation, Contrast Media, Coronary Stenosis pathology, Coronary Vessels pathology, Gadolinium DTPA, Inflammation pathology, Magnetic Resonance Angiography, Myocardial Infarction pathology
- Abstract
Objectives: Our aim was to determine whether serial contrast-enhanced cardiac magnetic resonance (CE-CMR) is useful for the characterization of tissue signal changes within the coronary vessel wall in patients after acute myocardial infarction (AMI)., Background: Inflammation plays a key role in the development of AMI. CE-CMR of the vessel wall has been found useful for the characterization of inflammatory tissue signal changes in patients with carotid artery stenosis, giant cell arteritis, or Takayasu's arteritis; however, it has never been serially performed in the coronary artery wall in patients with acute and chronic myocardial infarction using a gadolinium-based contrast medium and compared with systemic markers of inflammation., Methods: CE-CMR using a T1-weighted 3-dimensional gradient echo inversion recovery sequence of the coronary artery wall and 0.2 mmol/kg of gadolinium-diethylenetriaminepentaacetic acid was performed in 10 patients with AMI 6 days and 3 months after coronary intervention and in 9 subjects without coronary artery disease on invasive coronary angiography. Contrast-to-noise ratio (CNR) within the coronary artery wall was quantified in comparison with blood signal., Results: Patients with AMI demonstrated a significantly increased coronary vessel wall enhancement 6 days after infarction compared with normal subjects (CNR 7.8 +/- 4.4 vs. 5.3 +/- 3.2, p < 0.001). Three months after infarction, CNR decreased to 6.5 +/- 4.7 (p < 0.03). This decrease paralleled declines in C-reactive protein. Angiographically normal segments showed no contrast changes, but CNR significantly decreased in stenotic segments, from 10.9 +/- 3.8 to 6.8 +/- 5.0 (p < 0.002), resulting in a reduction of enhanced segments from 70% to 25% (p < 0.01)., Conclusions: Serial CE-CMR identified changes in spatial extent and intensity of coronary contrast enhancement in patients after AMI. This technique may be useful for the characterization of transient coronary tissue signal changes, which may represent edema or inflammation during the post-infarction phase. In addition, CE-CMR may offer the potential for visualization of inflammatory activity in atherosclerosis associated with acute coronary syndromes.
- Published
- 2009
- Full Text
- View/download PDF
23. [(111)In]DOTATOC as a dosimetric substitute for kidney dosimetry during [(90)Y]DOTATOC therapy: results and evaluation of a combined gamma camera/probe approach.
- Author
-
Stahl A, Schachoff S, Beer A, Winter A, Wester HJ, Scheidhauer K, Schwaiger M, and Wolf I
- Subjects
- Female, Humans, Male, Middle Aged, Octreotide analysis, Octreotide therapeutic use, Radiometry instrumentation, Radionuclide Imaging, Radiopharmaceuticals analysis, Radiopharmaceuticals therapeutic use, Radiotherapy Dosage, Reproducibility of Results, Risk Assessment methods, Risk Factors, Sensitivity and Specificity, Gamma Cameras, Kidney diagnostic imaging, Kidney metabolism, Octreotide analogs & derivatives, Radiometry methods
- Abstract
Purpose: During [(90)Y]DOTATOC therapy, for determination of kidney doses a conventional approach using co-injected [(111)In]DOTATOC was evaluated for validity, reliability and reproducibility as well as for the influence of methodological variations and bremsstrahlung. Biologically effective doses were estimated by calculating the relative effectiveness (RE) of kidney doses., Methods: Fractionated [(90)Y]DOTATOC therapy (n=20 patients, 3.1+/-0.7 GBq/therapy cycle, 45 therapy cycles) included co-injection of 157+/-37 MBq [(111)In]DOTATOC and a nephroprotective infusion regimen. From serial gamma camera/probe measurements, individual region of interest (ROI) sets were established and kidney doses were determined according to MIRDOSE3 (corrected for individual kidney mass) by use of three methodological variants: (1) correction for interfering organs (liver/spleen) and background activity, (2) correction for interfering organs alone and (3) no corrections. A phantom study was performed with (111) In alone and with (111)In +(90)Y to estimate the influence of (90)Y bremsstrahlung., Results: Mean kidney dose (method 1, n=20 patients, 20 therapy cycles) was 1.51+/-0.60 Gy/GBq [(90)Y]DOTATOC (1.41+/-0.48 Gy/GBq for n=20 patients, 45 therapy cycles). With partial correction (method 2) or no correction (method 3) for interfering activity, kidney doses increased significantly, to 2.71+/-1.26 Gy/GBq and 3.15+/-1.22 Gy/GBq, respectively. The span of REs ranged from 1.02 to 1.24. Inter-observer variability was as high as +/-32% (+/-2SD). (90)Y bremsstrahlung accounted for a 4-11% underestimation of obtained target activity., Conclusion: The obtained kidney doses are highly influenced by methodological variations. Full correction for interfering activity clearly underestimates kidney doses. By comparison, (90)Y bremsstrahlung and variability in the relative effectiveness of kidney doses cause minor bias. Inter-observer variability must be considered when interpreting kidney doses.
- Published
- 2006
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.