96 results on '"Gianolli L."'
Search Results
2. Worldwide Variation in the Use of Nuclear Cardiology Camera Technology, Reconstruction Software, and Imaging Protocols
- Author
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Einstein, A.J., Pascual, T.N.B., Paez, D., Dondi, M., Better, N., Bouyoucef, S.E., Karthikeyan, G., Kashyap, R., Lele, V., Magboo, V.P.C., Mahmarian, J.J., Meeks, J.B., Mercuri, M., Mut, F., Rehani, M.M., Vitola, J.V., Alexanderson, E., Allam, A., Al-Mallah, M.H., Bom, H., Flotats, A., Jerome, S., Kaufmann, P.A., Luxenburg, O., Mahmarian, J., Shaw, L.J., Underwood, S.R., Vitola, J., Amouri, W., Essabbah, H., Gassama, S.S., Makhdomi, K.B., El Mustapha, G.I.E., El Ouchdi, N., Qaïs, N., Soni, N., Vangu, W., Abazid, R.M., Adams, B., Agarwal, V., Alfeeli, M.A., Alnafisi, N., Bernabe, L., Bural, G.G., Chaiwatanarat, T., Chandraguptha, J.M., Cheon, G.J., Cho, I., Dogan, A.S., Eftekhari, M., Frenkel, A., Garty, I., George, S., Geramifar, P., Golan, H., Habib, S., Hussain, R., Im, H., Jeon, H.-J., Kalawat, T., Kang, W.J., Keng, F., Klaipetch, A., Kumar, P.G., Lee, J., Lee, W.W., Lim, I., Macaisa, C.M.M., Malhotra, G., Mittal, B.R., Mohammad, M.H., Mohan, P., Mulyanto, I.D., Nariman, D., Nayak, U.N., Niaz, K., Nikolov, G., Obaldo, J.M., Ozturk, E., Park, J.M., Park, S., Patel, C.D., Phuong, H.K., Quinon, A.P., Rajini, T.R., Saengsuda, Y., Santiago, J., Sayman, H.B., Shinto, A.S., Sivasubramaniyan, V., Son, M.H., Sudhakar, P., Syed, G.M.S., Tamaki, N., Thamnirat, K., Thientunyakit, T., Thongmak, S., Velasco, D.N., Verma, A., Vutrapongwatana, U., Wang, Y., Won, K.S., Yao, Z., Yingsa-nga, T., Yudistiro, R., Yue, K.T., Zafrir, N., Adrian, S.C., Agostini, D., Aguadé, S., Armitage, G., Backlund, M., Backman, M., Baker, M., Balducci, M.T., Bavelaar, C., Berovic, M., Bertagna, F., Beuchel, R., Biggi, A., Bisi, G., Bonini, R., Bradley, A., Brudin, L., Bruno, I., Busnardo, E., Casoni, R., Choudhri, A., Cittanti, C., Clauss, R., Costa, D.C., Costa, M., Dixon, K., Dziuk, M., Egelic, N., Eriksson, I., Fagioli, G., de Faria, D.B., Florimonte, L., Francini, A., French, M., Gallagher, E., Garai, I., Geatti, O., Genovesi, D., Gianolli, L., Gimelli, A., Giudice, E. del, Halliwell, S., Hansson, M.J., Harrison, C., Homans, F., Horton, F., Jędrzejuk, D., Jogi, J., Johansen, A., Johansson, H., Kalnina, M., Kaminek, M., Kiss, A., Kobylecka, M., Kostkiewicz, M., Kropp, J., Kullenberg, R., Lahoutte, T., Lang, O., Larsson, Y.H., Lázár, M., Leccisotti, L., Leners, N., Lindner, O., Lipp, R.W., Maenhout, A., Maffioli, L., Marcassa, C., Martins, B., Marzullo, P., Medolago, G., Mendiguchía, C.G., Mirzaei, S., Mori, M., Nardi, B., Nazarenko, S., Nikoletic, K., Oleksa, R., Parviainen, T., Patrina, J., Peace, R., Pirich, C., Piwowarska-Bilska, H., Popa, S., Prakash, V., Pubul, V., Puklavec, L., Rac, S., Ratniece, M., Rogan, S.A., Romeo, A., Rossi, M., Ruiz, D., Sabharwal, N., Salobir, B.G., Santos, A.I., Saranovic, S., Sarkozi, A., Schneider, R.P., Sciagra, R., Scotti, S., Servini, Z., Setti, L.R., Starck, S.-Å., Vajauskas, D., Veselý, J., Vieni, A., Vignati, A., Vito, I.M., Weiss, K., Wild, D., Zdraveska-Kochovska, M., Agüro, R.N., Alvarado, N., Barral, C.M., Beretta, M., Berrocal, I., Cuellar, J.F. Batista, Cabral Chang, T.-M., Cabrera Rodríguez, L.O., Canessa, J., Castro Mora, G., Claudia, A.C., Clavelo, G.F., Júnior, A.F. Cruz, Faccio, F.F., Fernández, K.M., Garibo, J.R. Gomez, Gonzalez, U., González E, P., Guzzo, M.A., Jofre, J., Kapitán, M., Kempfer, G., Lopez, J.L., Massardo V, T., Medeiros Colaco, I., Mesquita, C.T., Montecinos, M., Neubauer, S., Pabon, L.M., Puente, A., Rochela Vazquez, L.M., Serna Macias, J.A., Silva Pino, A.G., Huber, F.Z. Tártari, Tovar, A.P., Vargas, L., Wiefels, C., Aljizeeri, A., Alvarez, R.J., Barger, D., Beardwood, W., Behrens, J., Brann, L., Brown, D., Carr, H., Churchwell, K., Comingore, G.A., Corbett, J., Costello, M., Cruz, F., Depinet, T., Dorbala, S., Earles, M., Esteves, F.P., Etherton, E., Fanning, R.J., Jr., Fornace, J., Franks, L., Gewirtz, H., Gulanchyn, K., Hannah, C.-L., Hays, J., Hendrickson, J., Hester, J., Holmes, K., Johnson, A., Jopek, C., Lewin, H., Lyons, J., Manley, C., Meden, J., Moore, S., Moore, W.H., Murthy, V., Nace, R., Neely, D., Nelson, L., Niedermaier, O., Rice, D., Rigs, R., Schiffer, K., Schockling, E., Schultz, T., Schumacker, T., Sheesley, B., Sheikh, A., Siegel, B., Slim, A.M., Smith, J., Szulc, M., Tanskersley, N., Tilkemeier, P., Valdez, G.D., Vrooman, R., Wawrowicz, D., Winchester, D.E., Alcheikh, A., Allen, B., Atkins, E., Bevan, J., Bonomini, C., Christiansen, J., Clack, L., Craig, E., Dixson, H., Duncan, I., Fredericks, S., Gales, S., Hampson, R., Hanley, T., Hartcher, K., Hassall, J., Kelley, B., Kelly, S., Kidd, T., de Kort, T., Larcos, G., Macdonald, W., McGrath, C., Murdoch, E., O'Malley, S., O'Rourke, M., Pack, M., Pearce, R., Praehofer, R., Ramsay, S., Scarlett, L., Smidt, K., Souvannavong, F., Taubman, K., Taylor, G., Tse, K., Unger, S., Weale, J., Hirschfeld, Cole B., Mercuri, Mathew, Pascual, Thomas N.B., Karthikeyan, Ganesan, Vitola, João V., Mahmarian, John J., Better, Nathan, Bouyoucef, Salah E., Hee-Seung Bom, Henry, Lele, Vikram, Magboo, V. Peter C., Alexánderson, Erick, Allam, Adel H., Al-Mallah, Mouaz H., Dorbala, Sharmila, Flotats, Albert, Jerome, Scott, Kaufmann, Philipp A., Luxenburg, Osnat, Shaw, Leslee J., Underwood, S. Richard, Rehani, Madan M., Paez, Diana, Dondi, Maurizio, and Einstein, Andrew J.
- Published
- 2021
- Full Text
- View/download PDF
3. Worldwide Diagnostic Reference Levels for Single-Photon Emission Computed Tomography Myocardial Perfusion Imaging: Findings From INCAPS
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Einstein, A.J., Pascual, T.N.B., Paez, D., Dondi, M., Better, N., Bouyoucef, S.E., Karthikeyan, G., Kashyap, R., Lele, V., Magboo, V.P.C., Mahmarian, J.J., Meeks, J.B., Mercuri, M., Mut, F., Rehani, M.M., Vitola, J.V., Alexanderson, E., Allam, A., Al-Mallah, M.H., Bom, H., Flotats, A., Jerome, S., Kaufmann, P.A., Luxenburg, O., Mahmarian, J., Shaw, L.J., Underwood, S.R., Vitola, J., Amouri, W., Essabbah, H., Gassama, S.S., Makhdomi, K.B., El Mustapha, G.I.E., El Ouchdi, N., Qaïs, N., Soni, N., Vangu, W., Abazid, R.M., Adams, B., Agarwal, V., Alfeeli, M.A., Alnafisi, N., Bernabe, L., Bural, G.G., Chaiwatanarat, T., Chandraguptha, J.M., Cheon, G.J., Cho, I., Dogan, A.S., Eftekhari, M., Frenkel, A., Garty, I., George, S., Geramifar, P., Golan, H., Habib, S., Hussain, R., Im, H., Jeon, H.-J., Kalawat, T., Kang, W.J., Keng, F., Klaipetch, A., Kumar, P.G., Lee, J., Lee, W.W., Lim, I., Macaisa, C.M.M., Malhotra, G., Mittal, B.R., Mohammad, M.H., Mohan, P., Mulyanto, I.D., Nariman, D., Nayak, U.N., Niaz, K., Nikolov, G., Obaldo, J.M., Ozturk, E., Park, J.M., Park, S., Patel, C.D., Phuong, H.K., Quinon, A.P., Rajini, T.R., Saengsuda, Y., Santiago, J., Sayman, H.B., Shinto, A.S., Sivasubramaniyan, V., Son, M.H., Sudhakar, P., Syed, G.M.S., Tamaki, N., Thamnirat, K., Thientunyakit, T., Thongmak, S., Velasco, D.N., Verma, A., Vutrapongwatana, U., Wang, Y., Won, K.S., Yao, Z., Yingsa-nga, T., Yudistiro, R., Yue, K.T., Zafrir, N., Adrian, S.C., Agostini, D., Aguadé, S., Armitage, G., Backlund, M., Backman, M., Baker, M., Balducci, M.T., Bavelaar, C., Berovic, M., Bertagna, F., Beuchel, R., Biggi, A., Bisi, G., Bonini, R., Bradley, A., Brudin, L., Bruno, I., Busnardo, E., Casoni, R., Choudhri, A., Cittanti, C., Clauss, R., Costa, D.C., Costa, M., Dixon, K., Dziuk, M., Egelic, N., Eriksson, I., Fagioli, G., de Faria, D.B., Florimonte, L., Francini, A., French, M., Gallagher, E., Garai, I., Geatti, O., Genovesi, D., Gianolli, L., Gimelli, A., del Giudice, E., Halliwell, S., Hansson, M.J., Harrison, C., Homans, F., Horton, F., Jędrzejuk, D., Jogi, J., Johansen, A., Johansson, H., Kalnina, M., Kaminek, M., Kiss, A., Kobylecka, M., Kostkiewicz, M., Kropp, J., Kullenberg, R., Lahoutte, T., Lang, O., Larsson, Y.H., Lázár, M., Leccisotti, L., Leners, N., Lindner, O., Lipp, R.W., Maenhout, A., Maffioli, L., Marcassa, C., Martins, B., Marzullo, P., Medolago, G., Mendiguchía, C.G., Mirzaei, S., Mori, M., Nardi, B., Nazarenko, S., Nikoletic, K., Oleksa, R., Parviainen, T., Patrina, J., Peace, R., Pirich, C., Piwowarska-Bilska, H., Popa, S., Prakash, V., Pubul, V., Puklavec, L., Rac, S., Ratniece, M., Rogan, S.A., Romeo, A., Rossi, M., Ruiz, D., Sabharwal, N., Salobir, B.G., Santos, A.I., Saranovic, S., Sarkozi, A., Schneider, R.P., Sciagra, R., Scotti, S., Servini, Z., Setti, L.R., Starck, S.-Å., Vajauskas, D., Veselý, J., Vieni, A., Vignati, A., Vito, I.M., Weiss, K., Wild, D., Zdraveska-Kochovska, M., Agüro, R.N., Alvarado, N., Barral, C.M., Beretta, M., Berrocal, I., Cuellar, J.F. Batista, Chang, T-M. Cabral, Rodríguez, L.O. Cabrera, Canessa, J., Mora, G. Castro, Claudia, A.C., Clavelo, G.F., Júnior, A.F. Cruz, Faccio, F.F., Fernández, K.M., Garibo, J.R. Gomez, Gonzalez, U., González E, P., Guzzo, M.A., Jofre, J., Kapitán, M., Kempfer, G., Lopez, J.L., Massardo V, T., Colaco, I. Medeiros, Mesquita, C.T., Montecinos, M., Neubauer, S., Pabon, L.M., Puente, A., Vazquez, L.M. Rochela, Macias, J.A. Serna, Pino, A.G. Silva, Huber, F.Z. Tártari, Tovar, A.P., Vargas, L., Wiefels, C., Aljizeeri, A., Alvarez, R.J., Barger, D., Beardwood, W., Behrens, J., Brann, L., Brown, D., Carr, H., Churchwell, K., Comingore, G.A., Corbett, J., Costello, M., Cruz, F., Depinet, T., Dorbala, S., Earles, M., Esteves, F.P., Etherton, E., Fanning, R.J., Jr., Fornace, J., Franks, L., Gewirtz, H., Gulanchyn, K., Hannah, C.-L., Hays, J., Hendrickson, J., Hester, J., Holmes, K., Johnson, A., Jopek, C., Lewin, H., Lyons, J., Manley, C., Meden, J., Moore, S., Moore, W.H., Murthy, V., Nace, R., Neely, D., Nelson, L., Niedermaier, O., Rice, D., Rigs, R., Schiffer, K., Schockling, E., Schultz, T., Schumacker, T., Sheesley, B., Sheikh, A., Siegel, B., Slim, A.M., Smith, J., Szulc, M., Tanskersley, N., Tilkemeier, P., Valdez, G.D., Vrooman, R., Wawrowicz, D., Winchester, D.E., Alcheikh, A., Allen, B., Atkins, E., Bevan, J., Bonomini, C., Christiansen, J., Clack, L., Craig, E., Dixson, H., Duncan, I., Fredericks, S., Gales, S., Hampson, R., Hanley, T., Hartcher, K., Hassall, J., Kelley, B., Kelly, S., Kidd, T., de Kort, T., Larcos, G., Macdonald, W., McGrath, C., Murdoch, E., O'Malley, S., O'Rourke, M., Pack, M., Pearce, R., Praehofer, R., Ramsay, S., Scarlett, L., Smidt, K., Souvannavong, F., Taubman, K., Taylor, G., Tse, K., Unger, S., Weale, J., Hirschfeld, Cole B., Dondi, Maurizio, Pascual, Thomas N.B., Mercuri, Mathew, Vitola, Joao, Karthikeyan, Ganesan, Better, Nathan, Mahmarian, John J., Bouyoucef, Salah E., Hee-Seung Bom, Henry, Lele, Vikram, Magboo, Vincent Peter C., Alexánderson, Erick, Allam, Adel H., Al-Mallah, Mouaz H., Flotats, Albert, Jerome, Scott, Kaufmann, Philipp A., Luxenburg, Osnat, Underwood, S. Richard, Rehani, Madan M., Vassileva, Jenia, Paez, Diana, and Einstein, Andrew J.
- Published
- 2021
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4. Prognostic role of FDG PET-derived parameters in preoperative staging of endometrial cancer
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Mapelli, P., Bergamini, A., Fallanca, F., Rancoita, P.M.V., Cioffi, R., Incerti, E., Rabaiotti, E., Petrone, M., Mangili, G., Candiani, M., Gianolli, L., and Picchio, M.
- Published
- 2019
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5. Función pronóstica de los parámetros derivados de FDG PET en la estadificación preoperatoria del cáncer de endometrio
- Author
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Mapelli, P., Bergamini, A., Fallanca, F., Rancoita, P.M.V., Cioffi, R., Incerti, E., Rabaiotti, E., Petrone, M., Mangili, G., Candiani, M., Gianolli, L., and Picchio, M.
- Published
- 2019
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6. 68Ga-DOTA-peptides PET/MRI in pancreatico-duodenal neuroendocrine tumours: a flash pictorial essay on assets and lacks
- Author
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Mapelli, P., Ironi, G., Fallanca, F., Partelli, S., Muffatti, F., Andreasi, V., Gianolli, L., Falconi, M., De Cobelli, F., and Picchio, M.
- Published
- 2019
- Full Text
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7. FDG PET-derived parameters as prognostic tool in progressive malignant pleural mesothelioma treated patients
- Author
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Incerti, E., Broggi, S., Fodor, A., Cuzzocrea, M., Samanes Gajate, A. M., Mapelli, P., Fiorino, C., Dell’Oca, I., Pasetti, M., Cattaneo, M., Calandrino, R., Gianolli, L., Di Muzio, N., and Picchio, Maria
- Published
- 2018
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8. Simultaneous reconstruction of attenuation and activity in cardiac PET can remove CT misalignment artifacts
- Author
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Presotto, L., Busnardo, E., Perani, D., Gianolli, L., Gilardi, M.C., and Bettinardi, V.
- Published
- 2016
- Full Text
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9. Gender Differences in Radiation Dose From Nuclear Cardiology Studies Across the World: Findings From the INCAPS Registry
- Author
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Einstein, A.J., Pascual, T.N.B., Paez, D., Dondi, M., Better, N., Bouyoucef, S.E., Karthikeyan, G., Kashyap, R., Lele, V., Magboo, V.P.C., Mahmarian, J.J., Meeks, J.B., Mercuri, M., Mut, F., Rehani, M.M., Vitola, J.V., Alexanderson, E., Allam, A., Al-Mallah, M.H., Bom, H., Flotats, A., Jerome, S., Kaufmann, P.A., Luxenburg, O., Mahmarian, J., Shaw, L.J., Underwood, S.R., Vitola, J., Amouri, W., Essabbah, H., Gassama, S.S., Makhdomi, K.B., El Mustapha, G.I.E., El Ouchdi, N., Qaïs, N., Soni, N., Vangu, W., Abazid, R.M., Adams, B., Agarwal, V., Alfeeli, M.A., Alnafisi, N., Bernabe, L., Bural, G.G., Chaiwatanarat, T., Chandraguptha, J.M., Cheon, G.J., Cho, I., Dogan, A.S., Eftekhari, M., Frenkel, A., Garty, I., George, S., Geramifar, P., Golan, H., Habib, S., Hussain, R., Im, H., Jeon, H.-J., Kalawat, T., Kang, W.J., Keng, F., Klaipetch, A., Kumar, P.G., Lee, J., Lee, W.W., Lim, I., Macaisa, C.M.M., Malhotra, G., Mittal, B.R., Mohammad, M.H., Mohan, P., Mulyanto, I.D., Nariman, D., Nayak, U.N., Niaz, K., Nikolov, G., Obaldo, J.M., Ozturk, E., Park, J.M., Park, S., Patel, C.D., Phuong, H.K., Quinon, A.P., Rajini, T.R., Saengsuda, Y., Santiago, J., Sayman, H.B., Shinto, A.S., Sivasubramaniyan, V., Son, M.H., Sudhakar, P., Syed, G.M.S., Tamaki, N., Thamnirat, K., Thientunyakit, T., Thongmak, S., Velasco, D.N., Verma, A., Vutrapongwatana, U., Wang, Y., Won, K.S., Yao, Z., Yingsa-nga, T., Yudistiro, R., Yue, K.T., Zafrir, N., Adrian, S.C., Agostini, D., Aguadé, S., Armitage, G., Backlund, M., Backman, M., Baker, M., Balducci, M.T., Bavelaar, C., Berovic, M., Bertagna, F., Beuchel, R., Biggi, A., Bisi, G., Bonini, R., Bradley, A., Brudin, L., Bruno, I., Busnardo, E., Casoni, R., Choudhri, A., Cittanti, C., Clauss, R., Costa, D.C., Costa, M., Dixon, K., Dziuk, M., Egelic, N., Eriksson, I., Fagioli, G., de Faria, D.B., Florimonte, L., Francini, A., French, M., Gallagher, E., Garai, I., Geatti, O., Genovesi, D., Gianolli, L., Gimelli, A., del Giudice, E., Halliwell, S., Hansson, M.J., Harrison, C., Homans, F., Horton, F., Jędrzejuk, D., Jogi, J., Johansen, A., Johansson, H., Kalnina, M., Kaminek, M., Kiss, A., Kobylecka, M., Kostkiewicz, M., Kropp, J., Kullenberg, R., Lahoutte, T., Lang, O., Larsson, Y.H., Lázár, M., Leccisotti, L., Leners, N., Lindner, O., Lipp, R.W., Maenhout, A., Maffioli, L., Marcassa, C., Martins, B., Marzullo, P., Medolago, G., Mendiguchía, C.G., Mirzaei, S., Mori, M., Nardi, B., Nazarenko, S., Nikoletic, K., Oleksa, R., Parviainen, T., Patrina, J., Peace, R., Pirich, C., Piwowarska-Bilska, H., Popa, S., Prakash, V., Pubul, V., Puklavec, L., Rac, S., Ratniece, M., Rogan, S.A., Romeo, A., Rossi, M., Ruiz, D., Sabharwal, N., Salobir, B.G., Santos, A.I., Saranovic, S., Sarkozi, A., Schneider, R.P., Sciagra, R., Scotti, S., Servini, Z., Setti, L.R., Starck, S.-Å., Vajauskas, D., Veselý, J., Vieni, A., Vignati, A., Vito, I.M., Weiss, K., Wild, D., Zdraveska-Kochovska, M., Agüro, R.N., Alvarado, N., Barral, C.M., Beretta, M., Berrocal, I., Batista Cuellar, J.F., Cabral Chang, T.-M., Cabrera Rodríguez, L.O., Canessa, J., Castro Mora, G., Claudia, A.C., Clavelo, G.F., Cruz Júnior, A.F., Faccio, F.F., Fernández, K.M., Gomez Garibo, J.R., Gonzalez, U., González E., P., Guzzo, M.A., Jofre, J., Kapitán, M., Kempfer, G., Lopez, J.L., Massardo V., T., Medeiros Colaco, I., Mesquita, C.T., Montecinos, M., Neubauer, S., Pabon, L.M., Puente, A., Rochela Vazquez, L.M., Serna Macias, J.A., Silva Pino, A.G., Tártari Huber, F.Z., Tovar, A.P., Vargas, L., Wiefels, C., Aljizeeri, A., Alvarez, R.J., Barger, D., Beardwood, W., Behrens, J., Brann, L., Brown, D., Carr, H., Churchwell, K., Comingore, G.A., Corbett, J., Costello, M., Cruz, F., Depinet, T., Dorbala, S., Earles, M., Esteves, F.P., Etherton, E., Fanning, R.J., Jr., Fornace, J., Franks, L., Gewirtz, H., Gulanchyn, K., Hannah, C.-L., Hays, J., Hendrickson, J., Hester, J., Holmes, K., Johnson, A., Jopek, C., Lewin, H., Lyons, J., Manley, C., Meden, J., Moore, S., Moore, W.H., Murthy, V., Nace, R., Neely, D., Nelson, L., Niedermaier, O., Rice, D., Rigs, R., Schiffer, K., Schockling, E., Schultz, T., Schumacker, T., Sheesley, B., Sheikh, A., Siegel, B., Slim, A.M., Smith, J., Szulc, M., Tanskersley, N., Tilkemeier, P., Valdez, G.D., Vrooman, R., Wawrowicz, D., Winchester, D.E., Alcheikh, A., Allen, B., Atkins, E., Bevan, J., Bonomini, C., Christiansen, J., Clack, L., Craig, E., Dixson, H., Duncan, I., Fredericks, S., Gales, S., Hampson, R., Hanley, T., Hartcher, K., Hassall, J., Kelley, B., Kelly, S., Kidd, T., de Kort, T., Larcos, G., Macdonald, W., McGrath, C., Murdoch, E., O'Malley, S., O'Rourke, M., Pack, M., Pearce, R., Praehofer, R., Ramsay, S., Scarlett, L., Smidt, K., Souvannavong, F., Taubman, K., Taylor, G., Tse, K., Unger, S., Weale, J., Shi, Lynn, Dorbala, Sharmila, Paez, Diana, Shaw, Leslee J., Zukotynski, Katherine A., Pascual, Thomas N.B., Karthikeyan, Ganesan, Vitola, João V., Better, Nathan, Bokhari, Nadia, Rehani, Madan M., Kashyap, Ravi, Dondi, Maurizio, Mercuri, Mathew, and Einstein, Andrew J.
- Published
- 2016
- Full Text
- View/download PDF
10. Synthesis optimization of 2-(4-N-[11C]methylaminophenyl)-6-hydroxybenzothiazole ([11C]PIB), β-amyloid PET imaging tracer for Alzheimer's disease diagnosis
- Author
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Coliva, A., Monterisi, C., Apollaro, A., Gatti, D., Penso, M., Gianolli, L., Perani, D., Gilardi, M.C., and Carpinelli, A.
- Published
- 2015
- Full Text
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11. Evaluation of image reconstruction algorithms encompassing Time-Of-Flight and Point Spread Function modelling for quantitative cardiac PET: Phantom studies
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Presotto, L., Gianolli, L., Gilardi, M.C., and Bettinardi, V.
- Published
- 2015
- Full Text
- View/download PDF
12. 11C-Choline PET/CT as a guide to radiation treatment planning of lymph-node relapses in prostate cancer patients
- Author
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Picchio, M., Berardi, G., Fodor, A., Busnardo, E., Crivellaro, C., Giovacchini, G., Fiorino, C., Kirienko, M., Incerti, E., Messa, C., Gianolli, L., and Di Muzio, N.
- Published
- 2014
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13. Predictive value of pre-therapy 18F-FDG PET/CT for the outcome of 18F-FDG PET-guided radiotherapy in patients with head and neck cancer
- Author
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Picchio, M., Kirienko, M., Mapelli, P., Dell’Oca, I., Villa, E., Gallivanone, F., Gianolli, L., Messa, C., and Castiglioni, I.
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- 2014
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14. Role of 18F-FDG PET in the management of gestational trophoblastic neoplasia
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Mapelli, P., Mangili, G., Picchio, M., Gentile, C., Rabaiotti, E., Giorgione, V., Spinapolice, E. G., Gianolli, L., Messa, C., and Candiani, M.
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- 2013
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15. Nonpalpable breast lesions: preoperative radiological guidance in radioguided occult lesion localisation (ROLL)
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Belloni, E., Canevari, C., Panizza, P., Marassi, A., Rodighiero, M., Tacchini, S., Zuber, V., Sassi, I., Gianolli, L., Fazio, F., and Del Maschio, A.
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- 2011
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16. Role of 18FDG-PET/CT in detecting relapse during follow-up of patients with Hodgkin’s lymphoma
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Crocchiolo, R., Fallanca, F., Giovacchini, G., Ferreri, A. J. M., Assanelli, A., Verona, C., Pescarollo, A., Bregni, M., Ponzoni, M., Gianolli, L., Fazio, F., and Ciceri, F.
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- 2009
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17. Impact of age on the selection of nuclear cardiology stress protocols: The INCAPS (IAEA nuclear cardiology protocols) study
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Al-Mallah, Mh, Pascual, Tnb, Mercuri, M, Vitola, Jv, Karthikeyan, G, Better, N, Dondi, M, Paez, D, Eistein, Aj, Bouyoucef, Se, Allam, Ah, Vangu, M, Rehani, Mm, Kashyap, R, Lele, V, Magboo, Vpc, Mahmarian, Jj, Mut, F, Alexánderson, E, Allam, A, Bom, H, Flotats, A, Jerome, S, Kaufmann, Pa, Luxenburg, O, Mahmarian, J, Shaw, Lj, Underwood, Sr, Amouri, W, Essabbah, H, Gassama, Ss, Makhdomi, Kb, El Mustapha, Gie, El Ouchdi, N, Qaïs, N, Soni, N, Vangu, W, Abazid, Rm, Adams, B, Agarwal, V, Alfeeli, Ma, Alnafisi, N, Bernabe, L, Bural, Gg, Chaiwatanarat, T, Chandraguptha, Jm, Cheon, Gj, Cho, I, Dogan, As, Eftekhari, M, Frenkel, A, Garty, I, George, S, Geramifar, P, Golan, H, Habib, S, Hussain, R, Im, H, Jeon, H-J, Kalawat, T, Kang, Wj, Keng, F, Klaipetch, A, Kumar, Pg, Lee, J, Lee, Ww, Lim, I, Macaisa, Cmm, Malhotra, G, Mittal, Br, Mohammad, Mh, Mohan, P, Mulyanto, Id, Nariman, D, Nayak, Un, Niaz, K, Nikolov, G, Obaldo, Jm, Ozturk, E, Park, Jm, Park, S, Patel, Cd, Phuong, Hk, Quinon, Ap, Rajini, Tr, Saengsuda, Y, Santiago, J, Sayman, Hb, Shinto, As, Sivasubramaniyan, V, Son, Mh, Sudhakar, P, Syed, Gms, Tamaki, N, Thamnirat, K, Thientunyakit, T, Thongmak, S, Velasco, Dn, Verma, A, Vutrapongwatana, U, Wang, Y, Won, Ks, Yao, Z, Yingsa-Nga, T, Yudistiro, R, Yue, Kt, Zafrir, N, Adrian, Sc, Agostini, D, Aguadé, S, Armitage, G, Backlund, M, Backman, M, Baker, M, Balducci, Mt, Bavelaar, C, Berovic, M, Bertagna, F, Beuchel, R, Biggi, A, Bisi, G, Bonini, R, Bradley, A, Brudin, L, Bruno, I, Busnardo, E, Casoni, R, Choudhri, A, Cittanti, C, Clauss, R, Costa, Dc, Costa, M, Dixon, K, Dziuk, M, Egelic, N, Eriksson, I, Fagioli, G, De Faria, Db, Florimonte, L, Francini, Alberto, French, M, Gallagher, E, Garai, I, Geatti, O, Genovesi, D, Gianolli, L, Gimelli, A, Del Giudice, E, Halliwell, S, Hansson, Mj, Harrison, C, Homans, F, Horton, F, Jȩdrzejuk, D, Jogi, J, Johansen, A, Johansson, H, Kalnina, M, Kaminek, M, Kiss, A, Kobylecka, M, Kostkiewicz, M, Kropp, J, Kullenberg, R, Lahoutte, T, Lang, O, Larsson, Yh, Lázár, M, Leccisotti, L, Leners, N, Lindner, O, Lipp, Rw, Maenhout, A, Maffioli, L, Marcassa, C, Martins, B, Marzullo, P, Medolago, G, Mendiguchía, Cg, Mirzaei, S, Mori, M, Nardi, B, Nazarenko, S, Nikoletic, K, Oleksa, R, Parviainen, T, Patrina, J, Peace, R, Pirich, C, Piwowarska-Bilska, H, Popa, S, Prakash, V, Pubul, V, Puklavec, L, Rac, S, Ratniece, M, Rogan, Sa, Romeo, Annunziata, Rossi, M, Ruiz, D, Sabharwal, N, Salobir, Bg, Santos, Ai, Saranovic, S, Sarkozi, A, Schneider, Rp, Sciagra, R, Scotti, S, Servini, Z, Setti, Lr, Starck, S-A., Vajauskas, D, Veselý, J, Vieni, A, Vignati, A, Vito, I. M., Weiss, K, Wild, D, Zdraveska-Kochovska, M, Agüro, Rn, Alvarado, N, Barral, Cm, Beretta, M, Berrocal, I, Batista Cuellar, Jf, Cabral Chang, T-M, Cabrera Rodríguez, Lo, Canessa, J, Castro Mora, G, Claudia, Ac, Clavelo, Gf, Cruz, Af, Faccio, Ff, Fernández, Km, Gomez Garibo, Jr, Gonzalez, U, González, Pe, Guzzo, Ma, Jofre, J, Kapitán, M, Kempfer, G, Lopez, Jl, Massardo, Tv, Medeiros Colaco, I, Mesquita, Ct, Montecinos, M, Neubauer, S, Pabon, Lm, Puente, A, Rochela Vazquez, Lm, Serna Macias, Ja, Silva Pino, Ag, Tártari Huber, Fz, Tovar, Ap, Vargas, L, Wiefels, C, Aljizeeri, A, Alvarez, Rj, Barger, D, Beardwood, W, Behrens, J, Brann, L, Brown, D, Carr, H, Churchwell, K, Comingore, Ga, Corbett, J, Costello, M, Cruz, F, Depinet, T, Dorbala, S, Earles, M, Esteves, Fp, Etherton, E, Fanning, Rj, Fornace, J, Franks, L, Gewirtz, H, Gulanchyn, K, Hannah, C-L, Hays, J, Hendrickson, J, Hester, J, Holmes, K, Johnson, A, Jopek, C, Lewin, H, Lyons, J, Manley, C, Meden, J, Moore, S, Moore, Wh, Murthy, V, Nace, R, Neely, D, Nelson, L, Niedermaier, O, Rice, D, Rigs, R, Schiffer, K, Schockling, E, Schultz, T, Schumacker, T, Sheesley, B, Sheikh, A, Siegel, B, Slim, Am, Smith, J, Szulc, Mc, Tanskersley, N, Tilkemeier, P, Valdez, Gd, Vrooman, R, Wawrowicz, D, Winchester, De, Alcheikh, A, Allen, B, Atkins, E, Bevan, J, Bonomini, C, Christiansen, J, Clack, L, Craig, E, Dixson, H, Duncan, I, Fredericks, S, Gales, S, Hampson, R, Hanley, T, Hartcher, K, Hassall, J, Kelley, B, Kelly, S, Kidd, T, De Kort, T, Larcos, G, Macdonald, W, Mcgrath, C, Murdoch, E, O'Malley, S, O'Rourke, M, Pack, M, Pearce, R, Praehofer, R, Ramsay, S, Scarlett, L, Smidt, K, Souvannavong, F, Taubman, K, Taylor, G, Tse, K, Unger, S, and Weale, J
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Ionizing radiation ,Male ,medicine.medical_specialty ,Cross-sectional study ,Cardiology ,Guidelines ,030204 cardiovascular system & hematology ,Radiation Dosage ,Effective dose (radiation) ,NO ,Cohort Studies ,03 medical and health sciences ,Myocardial perfusion imaging ,Age ,0302 clinical medicine ,Internal medicine ,Humans ,Medicine ,030212 general & internal medicine ,Tomography ,Age Factors ,Aged ,Cross-Sectional Studies ,Female ,Middle Aged ,Myocardial Perfusion Imaging ,Positron-Emission Tomography ,Practice Guidelines as Topic ,Radiation Exposure ,Retrospective Studies ,Tomography, Emission-Computed, Single-Photon ,Nuclear Energy ,medicine.diagnostic_test ,business.industry ,Retrospective cohort study ,Radiation exposure ,Cohort ,Emission-Computed ,Cardiology and Cardiovascular Medicine ,business ,Single-Photon ,Cohort study - Abstract
There is growing concern about radiation exposure from nuclear myocardial perfusion imaging (MPI), particularly among younger patients who are more prone to develop untoward effects of ionizing radiation, and hence US and European professional society guidelines recommend age as a consideration in weighing radiation risk from MPI. We aimed to determine how patient radiation doses from MPI vary across age groups in a large contemporary international cohort.Data were collected as part of a global cross-sectional study of centers performing MPI coordinated by the International Atomic Energy Agency (IAEA). Sites provided information on each MPI study completed during a single week in March-April 2013. We compared across age groups laboratory adherence to pre-specified radiation-related best practices, radiation effective dose (ED; a whole-body measure reflecting the amount of radiation to each organ and its relative sensitivity to radiation's deleterious effects), and the proportion of patients with ED ≤ 9 mSv, a target level specified in guidelines.Among 7911 patients undergoing MPI in 308 laboratories in 65 countries, mean ED was 10.0 ± 4.5 mSv with slightly higher exposure among younger age groups (trend p value 0.001). There was no difference in the proportion of patients with ED ≤ 9 mSv across age groups, or in adherence to best practices based on the median age of patients in a laboratory.In contemporary nuclear cardiology practice, the age of the patient appears not to impact protocol selection and radiation dose, contrary to professional society guidelines.
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- 2018
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18. 68Ga-DOTATOC PET/MR imaging and radiomic parameters in predicting histopathological prognostic factors in patients with pancreatic neuroendocrine well-differentiated tumours.
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Mapelli, P., Bezzi, C., Palumbo, D., Canevari, C., Ghezzo, S., Samanes Gajate, A. M., Catalfamo, B., Messina, A., Presotto, L., Guarnaccia, A., Bettinardi, V., Muffatti, F., Andreasi, V., Schiavo Lena, M., Gianolli, L., Partelli, S., Falconi, M., Scifo, P., De Cobelli, F., and Picchio, M.
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SOMATOSTATIN ,HISTOPATHOLOGY ,NEUROENDOCRINE tumors ,TUMORS ,NEUROENDOCRINE system - Abstract
Purpose: To explore the role of fully hybrid
68 Ga-DOTATOC PET/MR imaging and radiomic parameters in predicting histopathological prognostic factors in patients with pancreatic neuroendocrine tumours (PanNETs) undergoing surgery. Methods: One hundred eighty-seven consecutive68 Ga-DOTATOC PET/MRI scans (March 2018–June 2020) performed for gastroenteropancreatic neuroendocrine tumour were retrospectively evaluated; 16/187 patients met the eligibility criteria (68 Ga-DOTATOC PET/MRI for preoperative staging of PanNET and availability of histological data). PET/MR scans were qualitatively and quantitatively interpreted, and the following imaging parameters were derived: PET-derived SUVmax, SUVmean, somatostatin receptor density (SRD), total lesion somatostatin receptor density (TLSRD), and MRI-derived apparent diffusion coefficient (ADC), arterial and late enhancement, necrosis, cystic degeneration, and maximum diameter. Additionally, first-, second-, and higher-order radiomic parameters were extracted from both PET and MRI scans. Correlations with several PanNETs' histopathological prognostic factors were evaluated using Spearman's coefficient, while the area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to evaluate parameters' predictive performance. Results: Primary tumour was detected in all 16 patients (15/16 by68 Ga-DOTATOC PET and 16/16 by MRI). SUVmax and SUVmean resulted good predictors of lymphnodal (LN) involvement (AUC of 0.850 and 0.783, respectively). Second-order radiomic parameters GrayLevelVariance and HighGrayLevelZoneEmphasis extracted from T2 MRI demonstrated significant correlations with LN involvement (adjusted p = 0.009), also showing good predictive performance (AUC = 0.992). Conclusion: This study demonstrates the role of the fully hybrid PET/MRI tool for the synergic function of imaging parameters extracted by the two modalities and highlights the potentiality of imaging and radiomic parameters in assessing histopathological features of PanNET aggressiveness. [ABSTRACT FROM AUTHOR]- Published
- 2022
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19. Radiomics in pancreatic neuroendocrine tumors: methodological issues and clinical significance.
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Bezzi, C., Mapelli, P., Presotto, L., Neri, I., Scifo, P., Savi, A., Bettinardi, V., Partelli, S., Gianolli, L., Falconi, M., and Picchio, M.
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RADIOMICS ,PANCREATIC tumors ,NEUROENDOCRINE tumors ,BEHAVIORAL assessment ,TUMOR treatment - Abstract
Purpose: To present the state-of-art of radiomics in the context of pancreatic neuroendocrine tumors (PanNETs), with a focus on the methodological and technical approaches used, to support the search of guidelines for optimal applications. Furthermore, an up-to-date overview of the current clinical applications of radiomics in the field of PanNETs is provided. Methods: Original articles were searched on PubMed and Science Direct with specific keywords. Evaluations of the selected studies have been focused mainly on (i) the general radiomic workflow and the assessment of radiomic features robustness/reproducibility, as well as on the major clinical applications and investigations accomplished so far with radiomics in the field of PanNETs: (ii) grade prediction, (iii) differential diagnosis from other neoplasms, (iv) assessment of tumor behavior and aggressiveness, and (v) treatment response prediction. Results: Thirty-one articles involving PanNETs radiomic-related objectives were selected. In regard to the grade differentiation task, yielded AUCs are currently in the range of 0.7–0.9. For differential diagnosis, the majority of studies are still focused on the preliminary identification of discriminative radiomic features. Limited information is known on the prediction of tumors aggressiveness and of treatment response. Conclusions: Radiomics is recently expanding in the setting of PanNETs. From the analysis of the published data, it is emerging how, prior to clinical application, further validations are necessary and methodological implementations require optimization. Nevertheless, this new discipline might have the potential in assisting the current urgent need of improving the management strategies in PanNETs patients. [ABSTRACT FROM AUTHOR]
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- 2021
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20. Nuclear cardiology practices and radiation exposure in Africa: results from the IAEA Nuclear Cardiology Protocols Study (INCAPS)
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Bouyoucef, Salah E., Mercuri, Mathew, Pascual, Thomas N. B., Allam, Adel H., Vangu, Mboyo, Vitola, João V., Better, Nathan, Karthikeyan, Ganesan, Mahmarian, John J., Rehani, Madan M., Kashyap, Ravi, Dondi, Maurizio, Paez, Diana, Einstein, Andrew J., Einstein, A. J., Pascual, T. N. B., Paez, D., Dondi, M., Better, N., Bouyoucef, S. E., Karthikeyan, G., Kashyap, R., Lele, V., Magboo, V. P. C., Mahmarian, J. J., Mercuri, M., Mut, F., Rehani, M. M., Vitola, J. V., Alexánderson, E., Allam, A., Al-Mallah, M. H., Bom, H., Flotats, A., Jerome, S., Kaufmann, P. A., Luxenburg, O., Mahmarian, J., Shaw, L. J., Underwood, S. R., Vitola, J., Amouri, W., Essabbah, H., Gassama, S. S., Makhdomi, K. B., El Mustapha, G. I. E., El Ouchdi, N., Qaïs, N., Soni, N., Vangu, W., Abazid, R. M., Adams, B., Agarwal, V., Alfeeli, M. A., Alnafisi, N., Bernabe, L., Bural, G. G., Chaiwatanarat, T., Chandraguptha, J. M., Cheon, G. J., Cho, I., Dogan, A. S., Eftekhari, M., Frenkel, A., Garty, I., George, S., Geramifar, P., Golan, H., Habib, S., Hussain, R., Im, H., Jeon, H. -J., Kalawat, T., Kang, W. J., Keng, F., Klaipetch, A., Kumar, P. G., Lee, J., Lee, W. W., Lim, I., Macaisa, C. M. M., Malhotra, G., Mittal, B. R., Mohammad, M. H., Mohan, P., Mulyanto, I. D., Nariman, D., Nayak, U. N., Niaz, K., Nikolov, G., Obaldo, J. M., Ozturk, E., Park, J. M., Park, S., Patel, C. D., Phuong, H. K., Quinon, A. P., Rajini, T. R., Saengsuda, Y., Santiago, J., Sayman, H. B., Shinto, A. S., Sivasubramaniyan, V., Son, M. H., Sudhakar, P., Syed, G. M. S., Tamaki, N., Thamnirat, K., Thientunyakit, T., Thongmak, S., Velasco, D. N., Verma, A., Vutrapongwatana, U., Wang, Y., Won, K. S., Yao, Z., Yingsa-Nga, T., Yudistiro, R., Yue, K. T., Zafrir, N., Adrian, S. C., Agostini, D., Aguadé, S., Armitage, G., Backlund, M., Backman, M., Baker, M., Balducci, M. T., Bavelaar, C., Berovic, M., Bertagna, F., Beuchel, R., Biggi, A., Bisi, G., Bonini, R., Bradley, A., Brudin, L., Bruno, I., Busnardo, E., Casoni, R., Choudhri, A., Cittanti, C., Clauss, R., Costa, D. C., Costa, M., Dixon, K., Dziuk, M., Egelic, N., Eriksson, I., Fagioli, G., De Faria, D. B., Florimonte, L., Francini, A., French, M., Gallagher, E., Garai, I., Geatti, O., Genovesi, D., Gianolli, L., Gimelli, A., Del Giudice, E., Halliwell, S., Hansson, M. J., Harrison, C., Homans, F., Horton, F., Jȩdrzejuk, D., Jogi, J., Johansen, A., Johansson, H., Kalnina, M., Kaminek, M., Kiss, A., Kobylecka, M., Kostkiewicz, M., Kropp, J., Kullenberg, R., Lahoutte, T., Lang, O., Larsson, Y. H., Lázár, M., Leccisotti, L., Leners, N., Lindner, O., Lipp, R. W., Maenhout, A., Maffioli, L., Marcassa, C., Martins, B., Marzullo, P., Medolago, G., Mendiguchía, C. G., Mirzaei, S., Mori, M., Nardi, B., Nazarenko, S., Nikoletic, K., Oleksa, R., Parviainen, T., Patrina, J., Peace, R., Pirich, C., Piwowarska-Bilska, H., Popa, S., Prakash, V., Pubul, V., Puklavec, L., Rac, S., Ratniece, M., Rogan, S. A., Romeo, A., Rossi, M., Ruiz, D., Sabharwal, N., Salobir, B. G., Santos, A. I., Saranovic, S., Sarkozi, A., Schneider, R. P., Sciagra, R., Scotti, S., Servini, Z., Setti, L. R., Starck, S-Ã…., Vajauskas, D., Veselý, J., Vieni, A., Vignati, A., Vito, I. M., Weiss, K., Wild, D., Zdraveska-Kochovska, M., Agüro, R. N., Alvarado, N., Barral, C. M., Beretta, M., Berrocal, I., Batista Cuellar, J. F., Cabral Chang, T. -M., Cabrera Rodríguez, L. O., Canessa, J., Castro Mora, G., Claudia, A. C., Clavelo, G. F., Cruz, A. F., Faccio, F. F., Fernández, K. M., Gomez Garibo, J. R., Gonzalez, U., González, P. E., Guzzo, M. A., Jofre, J., Kapitán, M., Kempfer, G., Lopez, J. L., Massardo, T. V., Medeiros Colaco, I., Mesquita, C. T., Montecinos, M., Neubauer, S., Pabon, L. M., Puente, A., Rochela Vazquez, L. M., Serna Macias, J. A., Silva Pino, A. G., Tártari Huber, F. Z., Tovar, A. P., Vargas, L., Wiefels, C., Aljizeeri, A., Alvarez, R. J., Barger, D., Beardwood, W., Behrens, J., Brann, L., Brown, D., Carr, H., Churchwell, K., Comingore, G. A., Corbett, J., Costello, M., Cruz, F., Depinet, T., Dorbala, S., Earles, M., Esteves, F. P., Etherton, E., Fanning, R. J., Fornace, J., Franks, L., Gewirtz, H., Gulanchyn, K., Hannah, C. -L., Hays, J., Hendrickson, J., Hester, J., Holmes, K., Johnson, A., Jopek, C., Lewin, H., Lyons, J., Manley, C., Meden, J., Moore, S., Moore, W. H., Murthy, V., Nace, R., Neely, D., Nelson, L., Niedermaier, O., Rice, D., Rigs, R., Schiffer, K., Schockling, E., Schultz, T., Schumacker, T., Sheesley, B., Sheikh, A., Siegel, B., Slim, A. M., Smith, J., Szulc, M. C., Tanskersley, N., Tilkemeier, P., Valdez, G. D., Vrooman, R., Wawrowicz, D., Winchester, D. E., Alcheikh, A., Allen, B., Atkins, E., Bevan, J., Bonomini, C., Christiansen, J., Clack, L., Craig, E., Dixson, H., Duncan, I., Fredericks, S., Gales, S., Hampson, R., Hanley, T., Hartcher, K., Hassall, J., Kelley, B., Kelly, S., Kidd, T., De Kort, T., Larcos, G., Macdonald, W., Mcgrath, C., Murdoch, E., O'Malley, S., O'Rourke, M., Pack, M., Pearce, R., Praehofer, R., Ramsay, S., Scarlett, L., Smidt, K., Souvannavong, F., Taubman, K., Taylor, G., Tse, K., Unger, S., and Weale, J.
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Male ,medicine.medical_specialty ,Heart Diseases ,Cross-sectional study ,MEDLINE ,effective dose ,Cardiology ,030204 cardiovascular system & hematology ,Effective dose (radiation) ,NO ,030218 nuclear medicine & medical imaging ,CONSECUTIVE SAMPLE ,03 medical and health sciences ,Myocardial perfusion imaging ,0302 clinical medicine ,Interquartile range ,Internal medicine ,medicine ,best practices ,Humans ,Registries ,Africa ,Best practices ,Effective dose ,Radiation ,Aged ,Cross-Sectional Studies ,Female ,Incidence ,Middle Aged ,Myocardial Perfusion Imaging ,Radiation Exposure ,Radiation Injuries ,Tomography, Emission-Computed, Single-Photon ,Cardiology and Cardiovascular Medicine ,Tomography ,medicine.diagnostic_test ,business.industry ,Cardiovascular Topics ,Radiation dose ,General Medicine ,Radiation exposure ,radiation ,Emission-Computed ,business ,Single-Photon - Abstract
OBJECTIVE While nuclear myocardial perfusion imaging (MPI) offers many benefits to patients with known or suspected cardiovascular disease, concerns exist regarding radiation-associated health effects. Little is known regarding MPI practice in Africa. We sought to characterise radiation doses and the use of MPI best practices that could minimise radiation in African nuclear cardiology laboratories, and compare these to practice worldwide. METHODS Demographics and clinical characteristics were collected for a consecutive sample of 348 patients from 12 laboratories in six African countries over a one-week period from March to April 2013. Radiation effective dose (ED) was estimated for each patient. A quality index (QI) enumerating adherence to eight best practices, identified a priori by an IAEA expert panel, was calculated for each laboratory. We compared these metrics with those from 7 563 patients from 296 laboratories outside Africa. RESULTS Median (interquartile range) patient ED in Africa was similar to that of the rest of the world [9.1 (5.1-15.6) vs 10.3 mSv (6.8-12.6), p = 0.14], although a larger proportion of African patients received a low ED, ≤ 9 mSv targeted in societal recommendations (49.7 vs 38.2%, p < 0.001). Bestpractice adherence was higher among African laboratories (QI score: 6.3 ± 1.2 vs 5.4 ± 1.3, p = 0.013). However, median ED varied significantly among African laboratories (range: 2.0-16.3 mSv; p < 0.0001) and QI range was 4-8. CONCLUSION Patient radiation dose from MPI in Africa was similar to that in the rest of the world, and adherence to best practices was relatively high in African laboratories. Nevertheless there remain opportunities to further reduce radiation exposure to African patients from MPI.
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- 2017
21. Value of [ 11C]choline-Positron Emission Tomography for Re-Staging Prostate Cancer: A Comparison With [ 18F]fluorodeoxyglucose-Positron Emission Tomography
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PICCHIO, M., MESSA, C., LANDONI, C., GIANOLLI, L., SIRONI, S., BRIOSCHI, M., MATARRESE, M., MATEI, D.V., DE COBELLI, F., DEL MASCHIO, A., ROCCO, F., RIGATTI, P., and FAZIO, F.
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- 2003
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22. OP-21. Inflammation imaging with 99Tcm-biotin in patients with osteomyelitis: Comparison with 111In labelled leukocytes
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Fazio, F., Magnani, P., Rusckowski, M., Gianolli, L., Gallazzi, M., Savi, A., Sudati, F., Vaghi, M., and Hnatowich, D.
- Published
- 1997
23. Hybrid cardiac PET/MR: the value of multiparametric assessment in cardiac sarcoidosis.
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Vergani, V., Busnardo, E., Mapelli, P., Ferro, P., Trivieri, M. G., Robson, P. M., Abrgral, R., Fayad, Z. A., Gianolli, L., Picchio, M., and Camici, P. G.
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- 2019
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24. 68Ga-DOTA-peptides PET/MRI in pancreatico-duodenal neuroendocrine tumours: a flash pictorial essay on assets and lacks.
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Mapelli, P., Ironi, G., Fallanca, F., Partelli, S., Muffatti, F., Andreasi, V., Gianolli, L., Falconi, M., De Cobelli, F., and Picchio, M.
- Published
- 2019
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25. Physical performance of the new hybrid PET∕CT Discovery-690
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Bettinardi, V, Picchio, M, Gianolli, L, PRESOTTO, LUCA, RAPISARDA, EUGENIO, GILARDI, MARIA CARLA, Bettinardi, V, Presotto, L, Rapisarda, E, Picchio, M, Gianolli, L, and Gilardi, M
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Models, Statistical ,Tomography Scanners, X-Ray Computed ,Brain Neoplasms ,Phantoms, Imaging ,Silicates ,Reproducibility of Results ,Equipment Design ,Lutetium ,4D-PET/CT ,Imaging, Three-Dimensional ,respiratory gating ,Positron-Emission Tomography ,Image Processing, Computer-Assisted ,Humans ,Whole Body Imaging ,Yttrium ,Tomography, X-Ray Computed ,Algorithms - Abstract
Purpose: The aim of this work was the assessment of the physical performance of the new hybrid PETCT system: Discovery-690. Methods: The Discovery-690 combines a lutetium-yttrium-orthosilicate (LYSO) block detector designed PET tomograph with a 64-slice CT scanner. The system is further characterized by a dedicated powerful computing platform implementing fully 3D-PET iterative reconstruction algorithms. These algorithms can account for time of flight (TOF) information andor a 3D model of the PET point spread function (PSF). PET physical performance was measured following NEMA NU-2-2007 procedures. Furthermore, specific tests were used: (i) to measure the energy and timing resolution of the PET system and (ii) to evaluate image quality, by using phantoms representing different clinical conditions (e.g., brain and whole body). Data processing and reconstructions were performed as required by standard procedures. Further reconstructions were carried out to evaluate the performance of the new reconstruction algorithms. In particular, four algorithms were considered for the reconstruction of the PET data: (i) HD = standard configuration, without TOF and PSF, (ii) TOF = HD + TOF, (iii) PSF = HD + PSF, and (iv) TOFPSF = HD+TOF+PSF. Results: The transverse (axial) spatial resolution values were 4.70 (4.74) mm and 5.06 (5.55) mm at 1 cm and 10 cm off axis, respectively. Sensitivity (average between 0 and 10 cm) was 7.5 cpskBq. The noise equivalent count rate (NECR) peak was 139.1 kcps at 29.0 kBqml. The scatter fraction at the NECR peak was 37%. The correction accuracy for the dead time losses and random event counts had a maximum absolute error below the NECR peak of 2.09%. The average energy and timing resolution were 12.4% and 544.3 ps, respectively. PET image quality was evaluated with the NEMA IEC Body phantom by using four reconstruction algorithms (HD, TOF, PSF, and TOFPSF), as previously described. The hot contrast (after 3 iterations and for a lesionbackground activity ratio of 4:1) for the spheres of 10, 13, 17, and 22 mm was (HD) 29.8, 45.4, 55.4, and 68.1%; (TOF) 39.9, 53.5, 62.7, and 72.2%; (PSF) 28.3, 47.3, 60.4, and 71.8%; (TOFPSF) 43.8, 62.9, 70.6, and 76.4%. The cold contrast for the spheres of 28 and 37 mm was (HD) 62.4 and 65.2%; (TOF) 77.1 and 81.4%; (PSF) 62.0 and 65.2%; (TOFPSF) 77.3 and 81.6%. Similar hot and cold contrast trends were found during the analyses of other phantoms representing different clinical conditions (brain and whole body). Nevertheless, the authors observed a predominant role of either TOF or PSF, depending on the specific characteristics and dimensions of the phantoms. Conclusions: Discovery-690 shows very good PET physical performance for all the standard NEMA NU-2-2007 measurements. Furthermore, the new reconstruction algorithms available for PET data (TOF and PSF) allow further improvements of the D-690 image quality performance both qualitatively and quantitatively. © 2011 American Association of Physicists in Medicine.
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- 2011
26. Clinical PET imaging of tumour hypoxia in lung cancer.
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Incerti, E., Mapelli, P., Vuozzo, M., Fallanca, F., Monterisi, C., Bettinardi, V., Moresco, R., Gianolli, L., and Picchio, M.
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- 2017
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27. Hypoxia F-FAZA PET/CT imaging in lung cancer and high-grade glioma: open issues in clinical application.
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Mapelli, P., Incerti, E., Bettinardi, V., Conte, G., Fallanca, F., Bailo, M., Vuozzo, M., Callea, M., Gianolli, L., and Picchio, M.
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- 2017
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28. Evaluation of an optimized [18F]fluoro-deoxy-glucose positron emission tomography voxel-wise method to early support differential diagnosis in atypical Parkinsonian disorders.
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Caminiti, S. P., Alongi, P., Majno, L., Volontè, M. A., Cerami, C., Gianolli, L., Comi, G., and Perani, D.
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PARKINSON'S disease diagnosis ,POSITRON emission tomography ,DIFFERENTIAL diagnosis ,DEMENTIA ,LEWY body dementia - Abstract
Background and purpose Atypical Parkinsonian disorders ( APD) frequently overlap in clinical presentations, making the differential diagnosis challenging in the early stages. The present study aimed to evaluate the accuracy of the [
18 F]fluoro-deoxy-glucose positron emission tomography Statistical Parametric Mapping ( SPM) optimized procedure in supporting the early and differential diagnosis of APD. Methods Seventy patients with possible APD were retrospectively included from a large clinical cohort. The included patients underwent [18 F]fluoro-deoxy-glucose positron emission tomography within 3 months of the first clinical assessment and a diagnostic follow-up. An optimized SPM voxel-wise procedure was used to produce t-maps of brain hypometabolism in single subjects, which were classified by experts blinded to any clinical information. We compared the accuracy of both the first clinical diagnosis and the SPM t-map classifications with the diagnosis at follow-up as the reference standard. Results At first diagnosis , 60% of patients were classified as possible APD (progressive supranuclear palsy, corticobasal degeneration, dementia with Lewy bodies, multiple system atrophy) and about 40% as APD with uncertain diagnosis, providing 52% sensitivity, 97% specificity and 86% accuracy with respect to the reference standard. SPM t-map classification showed 98% sensitivity, 99% specificity and 99% accuracy, and a significant agreement with the diagnosis at follow-up ( P < 0.001). Conclusions The SPM t-map classification at entry predicted the second diagnosis at follow-up. This indicates its significantly superior role for an early identification of APD subtypes, particularly in cases of uncertain diagnosis. The use of a metabolic biomarker at entry in the instrumental work-up of APD may shorten the diagnostic time, producing benefits for treatment options and support to the patients. [ABSTRACT FROM AUTHOR]- Published
- 2017
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29. PET/MRI in gynecological tumors.
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Mapelli, P., Fallanca, F., Incerti, E., Gianolli, L., and Picchio, M.
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- 2016
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30. 179: EARLY PREDICTION OF PATHOLOGICAL RESPONSE TO NEOADJUVANT CHEMORADIOTHERAPY FOR OESOPHAGEAL CANCER USING FULLY HYBRID PET/MR: PRELIMINARY RESULTS.
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Palumbo, D, Fiorino, C, Mori, M, Picchio, M, Cossu, A, Slim, N, Puccetti, F, Mazza, E, Steidler, S, Muzio, N Di, Cascinu, S, Gianolli, L, Rosati, R, and Cobelli, F De
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ESOPHAGEAL cancer ,SURGICAL margin ,SURVIVAL rate ,CANCER patients ,OVERALL survival - Abstract
Background and aim Despite adequate preoperative staging, 25% of patients with oesophageal cancer treated with primary surgery have microscopically positive resection margins (R1), and the 5-year survival rate rarely exceeds 40%. The CROSS trial demonstrated that neoadjuvant chemoradiotherapy (nCRT) double the median overall survival, with 29% of patients achieving a pathological complete response. Many authors suggest that this subgroup of patients do not benefit from additional surgery also having regard to the fact that oesophageal resections are associated with substantial morbidity and postoperative mortality rates of 3–5%. On the other hand 18% of patients who underwent nCRT were found to be non-responders, only suffering from nCRT side effects. Thus, rationale exists for identifying novel biomarkers allowing early, non-invasive prediction of pathological tumour response. Methods Starting from January 2020, all consecutive patients with biopsy proven potentially resectable oesophageal cancer scheduled to receive nCRT (CROSS regimen) were prospectively enrolled. In addition to standard of care imaging, a fully integrated hybrid PET/MR was performed at three time points (prior to, during and six weeks after treatment completion). For each patient, an early regression index (ERI) was computed according to the formula: ERI = ln [1—(tumour volume mid/tumour volume pre) tumour volume pre]. Tumour volumes were contoured on axial high resolution T2 weighted images by an experienced radiologist. Finally, after surgery, these data were systematically correlated with the pathological outcome in terms of Tumour Regression Grade(TRG). TRG = 1 refers to pathological complete response status. Results At present, of ten patients enrolled, seven underwent surgery after completion of nCRT; of these, three patients had TRG = 1. Interestingly, patients with a pathological complete response demonstrated significantly lower ERI values when compared with those patients with TRG ≥ 2 (4.09 vs. 27.94, P < 0.001). Of note, no PET parameter was significantly associated with subsequent pathological complete response status. Conclusion Preliminary results point out the existence of a novel imaging, MR based biomarker (ERI), able to early predict pathological tumour response during nCRT, thus providing an actual aid for patients' management. The research leading to these results has received funding from AIRC (Italian Association for Cancer Research) under Investigator Grant—IG 2019—ID. 23015 project; NCT04359732. [ABSTRACT FROM AUTHOR]
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- 2022
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31. Imaging biomarkers in prostate cancer: role of PET/CT and MRI.
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Picchio, M., Mapelli, P., Panebianco, V., Castellucci, P., Incerti, E., Briganti, A., Gandaglia, G., Kirienko, M., Barchetti, F., Nanni, C., Montorsi, F., Gianolli, L., and Fanti, S.
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PROSTATE-specific antigen ,PROSTATE cancer ,BIOMARKERS ,TUMORS ,DISEASE relapse - Abstract
Prostate-specific antigen (PSA) is currently the most widely used biomarker of prostate cancer (PCa). PSA suggests the presence of primary tumour and disease relapse after treatment, but it is not able to provide a clear distinction between locoregional and distant disease. Molecular and functional imaging, that are able to provide a detailed and comprehensive overview of PCa extension, are more reliable tools for primary tumour detection and disease extension assessment both in staging and restaging. In the present review we evaluate the role of PET/CT and MRI in the diagnosis, staging and restaging of PCa, and the use of these imaging modalities in prognosis, treatment planning and response assessment. Innovative imaging strategies including new radiotracers and hybrid scanners such as PET/MRI are also discussed. [ABSTRACT FROM AUTHOR]
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- 2015
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32. Evaluation of time of flight (TOF) and point spread function (PSF) reconstructions in the quantification of myocardial blood flow with 13N ammonia and PET: Comparison among reconstructions (reprojection, OSEM), software (PMOD and CARIMAS) and ...
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Presotto, L., Busnardo, E., Bettinardi, V., Landoni, C., Todeschini, P., Rimoldi, O., Gilardi, M.C., and Gianolli, L.
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- 2012
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33. C-Choline PET/CT as a guide to radiation treatment planning of lymph-node relapses in prostate cancer patients.
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Picchio, M., Berardi, G., Fodor, A., Busnardo, E., Crivellaro, C., Giovacchini, G., Fiorino, C., Kirienko, M., Incerti, E., Messa, C., Gianolli, L., and Muzio, N.
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PROSTATE cancer patients ,RADIOTHERAPY ,RADIATION ,PELVIS ,BLOOD plasma - Abstract
Purpose: To evaluate, in prostate cancer (PCa) patients the potential of C-choline PET/CT as a guide to helical tomotherapy (HTT) of lymph-node (LN) relapses with simultaneous integrated boost (SIB). The efficacy and feasibility of HTT in terms of acute toxicity were assessed. Methods: We enrolled 83 PCa patients (mean age 68 years, range 51 - 82 years) with biochemical recurrence after radical primary treatment (mean serum PSA 7.61 ng/ml, range 0.37 - 187.00 ng/ml; PSA) who showed pathological findings on C-choline PET/CT only at the LN site. C-Choline PET/CT was performed for restaging and then for radiation treatment planning (PET/CT). Of the 83 patients, 8 experienced further LN relapse, of whom 5 were retreated once and 3 were retreated twice (total 94 radiotherapy treatments). All pelvic and/or abdominal LNs positive on PET/CT were treated with high doses using SIB. Doses were in the range 36 - 74 Gy administered in 28 fractions. After the end of HTT (mean 83 days, range 16 - 365 days), serum PSA was measured in all patients (PSA) and compared with PSA to evaluate early biochemical response. In 47 patients PET/CT was repeated (PET/CT) to assess metabolic responses at the treated areas. Toxicity criteria of the Radiation Therapy Oncology Group (RTOG) were used to assess acute toxicity. Results: PET/CT revealed pathological LNs in the pelvis in 49 patients, pathological LNs in the abdomen in 15 patients pathological LNs in both the pelvis and abdomen in 18 patients, and pathological LNs in the pelvis or abdomen and other sites in 12 patients. All these sites were treated with HTT. With respect to PSA, PSA (mean 6.28 ng/ml, range 0.00 - 220.46 ng/ml) showed a complete biochemical response after 66 of the 94 HTT treatments, a partial response after 12 treatments, stable disease after 1 treatment and progression of disease after 15 treatments. Of the 47 patients receiving PET/CT, 20 showed a complete metabolic response at the treated area, 22 a partial metabolic response, 3 progression of disease and 2 stable disease. HTT with SIB was well tolerated in all patients. Grade 3 acute toxicity in the genitourinary tract was observed in two patients. Conclusion: C-Choline PET/CT is a valuable tool for planning and monitoring HTT in LN relapse after primary treatment. High-dose hypofractionated C-choline PET/CT-guided HTT with SIB is well tolerated and is associated with a high early biochemical response rate. [ABSTRACT FROM AUTHOR]
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- 2014
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34. Predictive value of pre-therapy 18F-FDG PET/CT for the outcome of 18F-FDG PET-guided radiotherapy in patients with head and neck cancer.
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Picchio, M., Kirienko, M., Mapelli, P., Dell’Oca, I., Villa, E., Gallivanone, F., Gianolli, L., Messa, C., and Castiglioni, I.
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HEAD & neck cancer ,GLUCOSE ,RADIOTHERAPY ,CANCER treatment - Abstract
Purpose: The aim of this study was to evaluate the predictive role of pre-therapy fluorodeoxyglucose (FDG) uptake parameters of primary tumour in head and neck cancer (HNC) patients undergoing intensity-modulated radiotherapy (IMRT) with simultaneous integrated boost (SIB) on FDG-positive volume—positron emission tomography (PET) gross tumour volume (PET-GTV). Methods: This retrospective study included 19 patients (15 men and 4 women, mean age 59.2 years, range 23–81 years) diagnosed with HNC between 2005 and 2011. Of 19 patients, 15 (79 %) had stage III–IV. All patients underwent FDG PET/CT before treatment. Metabolic indexes of primary tumour, including metabolic tumour volume (MTV), maximum and mean standardized uptake value (SUV
max , SUVmean ) and total lesion glycolysis (TLG) were considered. Partial volume effect correction (PVC) was performed for SUVmean and TLG estimation. Correlations between PET/CT parameters and 2-year disease-free survival (DFS), local recurrence-free survival (LRFS) and distant metastasis-free survival (DMFS) were assessed. Median patient follow-up was 19.2 months (range 4–24 months). Results: MTV, TLG and PVC-TLG predicting patients’ outcome with respect to all the considered local and distant disease control endpoints (LRFS, DMFS and DFS) were 32.4 cc, 469.8 g and 547.3 g, respectively. SUVmean and PVC-SUVmean cut-off values predictive of LRFS and DFS were 10.8 and 13.3, respectively. PVC was able to compensate errors up to 25 % in the primary HNC tumour uptake. Moreover, PVC enhanced the statistical significance of the results. Conclusion: FDG PET/CT uptake parameters are predictors of patients’ outcome and can potentially identify patients with higher risk of treatment failure that could benefit from more aggressive approaches. Application of PVC is recommended for accurate measurement of PET parameters. [ABSTRACT FROM AUTHOR]- Published
- 2014
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35. New positron emission tomography derived parameters as predictive factors for recurrence in resected stage I non-small cell lung cancer.
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Melloni, G., Gajate, A.M.S., Sestini, S., Gallivanone, F., Bandiera, A., Landoni, C., Muriana, P., Gianolli, L., and Zannini, P.
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POSITRON emission tomography ,CANCER relapse ,LUNG cancer patients ,CANCER tomography ,PRECANCEROUS conditions ,MULTIVARIATE analysis ,GLYCOLYSIS - Abstract
Abstract: Background: The recurrence rate for stage I non-small cell lung cancer is high, with 20–40% of patients that relapse after surgery. The aim of this study was to evaluate new F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) derived parameters, such as standardized uptake value index (SUV
index ), metabolic tumor volume (MTV) and total lesion glycolysis (TLG), as predictive factors for recurrence in resected stage I non-small cell lung cancer. Methods: We retrospectively reviewed 99 resected stage I non-small cell lung cancer patients that were grouped by SUVindex , TLG and MTV above or below their median value. Disease free survival was evaluated as primary end point. Results: The 5-year overall survival and the 5-year disease free survival rates were 62% and 73%, respectively. The median SUVindex , MTL and TLG were 2.73, 2.95 and 9.61, respectively. Patients with low SUVindex , MTV and TLG were more likely to have smaller tumors (p ≤ 0.001). Univariate analysis demonstrated that SUVindex (p = 0.027), MTV (p = 0.014) and TLG (p = 0.006) were significantly related to recurrence showing a better predictive performance than SUVmax (p = 0.031). The 5-year disease free survival rates in patients with low and high SUVindex , MTV and TLG were 84% and 59%, 86% and 62% and 88% and 60%, respectively. The multivariate analysis showed that only TLG was an independent prognostic factor (p = 0.014) with a hazard ratio of 4.782. Conclusion: Of the three PET-derived parameters evaluated, TLG seems to be the most accurate in stratifying surgically treated stage I non-small cell lung cancer patients according to their risk of recurrence. [Copyright &y& Elsevier]- Published
- 2013
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36. Role of F-FDG PET in the management of gestational trophoblastic neoplasia.
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Mapelli, P., Mangili, G., Picchio, M., Gentile, C., Rabaiotti, E., Giorgione, V., Spinapolice, E., Gianolli, L., Messa, C., and Candiani, M.
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GESTATIONAL trophoblastic disease ,TRANSVAGINAL ultrasonography ,DRUG therapy ,NECROSIS ,METASTASIS - Abstract
Purpose: Gestational trophoblastic neoplasia (GTN) is a rare and aggressive tumour that is usually sensitive to chemotherapy. The usefulness of conventional imaging modalities in evaluating treatment response is limited, mainly due to the difficulty in differentiating between residual tumour tissue and necrosis. The aim of the present study was to evaluate the role of FDG PET or PET/CT in primary staging and in monitoring treatment efficacy. The effect of FDG PET and combined PET/CT on the management of patients with GTN was also evaluated comparing the differences between standard treatments based on conventional imaging and alternative treatments based on PET. Methods: This retrospective study included 41 patients with GTN referred to San Raffaele Hospital between 2002 and 2010. All patients were studied by either PET or PET/CT in addition to conventional imaging. Of the 41 patients, 38 were evaluated for primary staging of GTN and 3 patients for chemotherapy resistance after first-line chemotherapy performed in other Institutions. To validate the PET data, PET and PET/CT findings were compared with those from conventional imaging, including transvaginal ultrasonography (TV-US) in those with uterine disease, CT and chest plain radiography in those with lung disease and whole-body CT in those with systemic metastases. Conventional imaging was considered positive for the presence of uterine disease and/or metastases when abnormal findings relating to GTN were reported. PET and PET/CT were considered concordant with conventional imaging when metabolic active disease was detected at the sites corresponding to the pathological findings on conventional imaging. In addition, in 12 of the 41 patients showing extrauterine disease, FDG PET/CT was repeated to monitor treatment efficacy, in 8 after normalization of beta human chorionic gonadotropin (βHCG) and in 4 with βHCG resistance. In some patients, PET or PET/CT findings led to an alternative nonconventional treatment, and this was considered a change in patient management for the study analysis. Results: When compared to TV-US, chest radiography and CT for staging, PET showed a concordance in 91 %, 84 % and 81 % of patients, respectively. In 8 of the 41 patients with extrauterine disease during staging, PET/CT showed a complete response to therapy after βHCG normalization. PET and PET/CT identified the sites of persistent disease in all seven high-risk patients with βHCG resistance, of whom four underwent second-line chemotherapy, two surgical removal of resistant disease instead of additional chemotherapy, and one surgical removal of resistant disease and second-line chemotherapy with subsequent negative βHCG. Conclusion: In staging, PET cannot replace conventional imaging and does not show any information in addition to that shown by conventional imaging. The additional value of PET/CT in GTN with respect to conventional imaging is found in patients with high-risk disease. PET can identify the sites of primary and/or metastatic disease in patients with persistent high levels of βHCG after first-line chemotherapy and may be of additional value in patient management for guiding alternative treatment. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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37. A Partial Volume Effect Correction Tailored for 18F-FDG-PET Oncological Studies.
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Gallivanone, F., Canevari, C., Gianolli, L., Salvatore, C., Della Rosa, P. A., Gilardi, M. C., and Castiglioni, I.
- Abstract
We have developed, optimized, and validated a method for partial volume effect (PVE) correction of oncological lesions in positron emission tomography (PET) clinical studies, based on recovery coefficients (RC) and on PET measurements of lesion-tobackground ratio (L/Bm) and of lesion metabolic volume. An operator-independent technique, based on an optimised threshold of the maximum lesion uptake, allows to define an isocontour around the lesion on PET images in order to measure both lesion radioactivity uptake and lesion metabolic volume. RC are experimentally derived from PET measurements of hot spheres in hot background, miming oncological lesions. RC were obtained as a function of PET measured sphere-to-background ratio and PET measured sphere metabolic volume, both resulting from the threshold-isocontour technique. PVE correction of lesions of a diameter ranging from 10 mm to 40 mm and for measured L/B
m from 2 to 30 was performed using measured RC curves tailored at answering the need to quantify a large variety of real oncological lesions by means of PET. Validation of the PVE correction method resulted to be accurate (>89%) in clinical realistic conditions for lesion diameter > 1 cm, recovering >76% of radioactivity for lesion diameter < 1 cm. Results from patient studies showed that the proposed PVE correction method is suitable and feasible and has an impact on a clinical environment. [ABSTRACT FROM AUTHOR]- Published
- 2013
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38. Pancreatic metastases from primary ileal NET only detected by 68Ga-DOTATOC PET/CT.
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Mapelli, P., Fallanca, F., Franchini, A., Albarello, L., Vanoli, E. G., Partelli, S., Muffatti, F., Gianolli, L., Falconi, M., and Picchio, M.
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METASTASIS ,CARCINOID ,ENDOSCOPIC ultrasonography ,PANCREATIC duct ,NEUROENDOCRINE tumors ,GASTROINTESTINAL tumors ,POSITRON emission tomography computed tomography - Published
- 2020
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39. Value of [11C]choline-Positron Emission Tomography for Re-Staging Prostate Cancer: A Comparison With [18F]fluorodeoxyglucose-Positron Emission Tomography
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PICCHIO, M., MESSA, C., LANDONI, C., GIANOLLI, L., SIRONI, S., BRIOSCHI, M., MATARRESE, M., MATEI, D.V., DE COBELLI, F., DEL MASCHIO, A., ROCCO, F., RIGATTI, P., and FAZIO, F.
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- 2003
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40. OL05 - Training and validation of a robust PET radiomic-based index predicting distant-relapse-free-survival after radiochemotherapy of patients with locally advanced pancreatic cancer.
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Mori, M., Passoni, P., Incerti, E., Broggi, S., Reni, M., Whybra, P., Spezi, E., Slim, N., Vanoli, E.G., Bettinardi, V., Gianolli, L., Picchio, M., Di Muzio, N.G., and Fiorino, C.
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- 2021
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41. Decrease of glomerular hyperfiltration in short-term diabetic adolescents without microalbuminuria.
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BOGNETTI, EMILIO, MESCHI, FRANCO, BONFANTI, RLCCARDO, GIANOLLI, LUIGI, CHIUMELLO, GIUSEPPE, Bognetti, E, Meschi, F, Bonfanti, R, Gianolli, L, and Chiumello, G
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- 1993
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42. High prevalence of the thallium-201 reverse redistribution phenomenon in patients with syndrome X.
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Fragasso, G., Rossetti, E., Dosio, F., Gianolli, L., Pizzetti, G., Cattaneo, N., Fazio, F., and Chierchia, S. L.
- Abstract
Objective To evaluate the stress-redistribution myocardial perfusion pattern in patients with angina, positive exercise test and angiographically smooth coronary arteries (syndrome X). Design Prospective study. Patients and methods Twenty-five consecutive patients (seven males, mean age 54 ± 8 years) with typical angina, positive exercise test, normal coronary arteries and no inducible spasm, underwent stress-redistribution thallium- 201 myocardial perfusion scintigraphy. Thirty-two consecutive patients (14 males, mean age 49 ± 7 years) with atypical chest pain and negative exercise test, undergoing stress redistribution thallium scan, served as controls. Resuits Exercise was discontinued for angina and/or ST segment depression after 12 ± 3 min. Thallium stress images revealed 40 hypoperfused segments in 27 patients (77%); after 4 h, 16 of these segments had completely normalized, 10 remained unchanged, six exhibited partial reperfusion and eight worsened. Twenty-four patients (69%) exhibited thallium reverse redistribution in 33 segments. Thirty-four patients (97%) had at least one hypoperfused segment in one of the two scintigraphic phases. Of the 24 patients with reverse redistribution, eight also underwent stress-rest 99mTc-MIBI SPECT: six exhibited reduced tracer uptake that was present at rest, but not on stress images, in the same segments showing thallium reverse redistribution. Thallium stress images revealed four hypoperfused segments in three controls (9%) at redistribution, one segment normalized, two remained unchanged and one exhibited partial reperfusion. Additionally, there were four new underperfused segments appearing on redistribution in four patients (13%). Overall, there were seven controls (22%) with at least one hypoperfused myocardial segment in one of the two scintigraphic phases. Conclusions Our study confirms that perfusion abnormalities are present in most syndrome X patients. Additionally, the data show that reverse redistribution (a perfusion defect that develops or becomes more evident on delayed imaging) is a common finding in these patients. The mechanisms of the phenomenon remain obscure: we suggest that it is due to inhomogeneous perfusion, and the hyperaemic response induced by exercise masks resting underperfusion of certain areas. [ABSTRACT FROM PUBLISHER]
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- 1996
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43. Measurement by single injection of polyfructosan of glomerular filtration rate in young diabetic patients.
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Bognetti, Emilio, Gianolli, Luigi, Proverbio, Maria Carla, Puzzovio, Maria, Meschi, Franco, Gerundini, Paolo, Chiumello, Giuseppe, Bognetti, E, Gianolli, L, Proverbio, M C, Puzzovio, M, Meschi, F, Gerundini, P, and Chiumello, G
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- 1990
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44. Radiomics in pancreatic neuroendocrine tumors: methodological issues and clinical significance
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Massimo Falconi, Luca Presotto, Carolina Bezzi, Paola Mapelli, Maria Picchio, Annarita Savi, Valentino Bettinardi, L. Gianolli, Paola Scifo, Ilaria Neri, Stefano Partelli, Bezzi, C, Mapelli, P, Presotto, L, Neri, I, Scifo, P, Savi, A, Bettinardi, V, Partelli, S, Gianolli, L, Falconi, M, Picchio, M, Bezzi, C., Mapelli, P., Presotto, L., Neri, I., Scifo, P., Savi, A., Bettinardi, V., Partelli, S., Gianolli, L., Falconi, M., and Picchio, M.
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medicine.medical_specialty ,Treatment response ,Context (language use) ,Neuroendocrine tumors ,030218 nuclear medicine & medical imaging ,Diagnosis, Differential ,03 medical and health sciences ,0302 clinical medicine ,Radiomics ,Pancreatic neuroendocrine tumor ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Medical physics ,Clinical significance ,Pancreatic neuroendocrine tumors ,Texture analysi ,business.industry ,Reproducibility of Results ,General Medicine ,medicine.disease ,Pancreatic Neoplasms ,Neuroendocrine Tumors ,PET ,Texture analysis ,030220 oncology & carcinogenesis ,Radiomic ,business ,CT ,MRI - Abstract
Purpose: To present the state-of-art of radiomics in the context of pancreatic neuroendocrine tumors (PanNETs), with a focus on the methodological and technical approaches used, to support the search of guidelines for optimal applications. Furthermore, an up-to-date overview of the current clinical applications of radiomics in the field of PanNETs is provided. Methods: Original articles were searched on PubMed and Science Direct with specific keywords. Evaluations of the selected studies have been focused mainly on (i) the general radiomic workflow and the assessment of radiomic features robustness/reproducibility, as well as on the major clinical applications and investigations accomplished so far with radiomics in the field of PanNETs: (ii) grade prediction, (iii) differential diagnosis from other neoplasms, (iv) assessment of tumor behavior and aggressiveness, and (v) treatment response prediction. Results: Thirty-one articles involving PanNETs radiomic-related objectives were selected. In regard to the grade differentiation task, yielded AUCs are currently in the range of 0.7–0.9. For differential diagnosis, the majority of studies are still focused on the preliminary identification of discriminative radiomic features. Limited information is known on the prediction of tumors aggressiveness and of treatment response. Conclusions: Radiomics is recently expanding in the setting of PanNETs. From the analysis of the published data, it is emerging how, prior to clinical application, further validations are necessary and methodological implementations require optimization. Nevertheless, this new discipline might have the potential in assisting the current urgent need of improving the management strategies in PanNETs patients.
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- 2021
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45. A Partial Volume Effect Correction Tailored for (18)F-FDG-PET Oncological Studies.
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Gallivanone, F, Canevari, C, Gianolli, L, Salvatore, C, Della Rosa, P A, Gilardi, M C, and Castiglioni, I
- Abstract
We have developed, optimized, and validated a method for partial volume effect (PVE) correction of oncological lesions in positron emission tomography (PET) clinical studies, based on recovery coefficients (RC) and on PET measurements of lesion-to-background ratio (L/B m) and of lesion metabolic volume. An operator-independent technique, based on an optimised threshold of the maximum lesion uptake, allows to define an isocontour around the lesion on PET images in order to measure both lesion radioactivity uptake and lesion metabolic volume. RC are experimentally derived from PET measurements of hot spheres in hot background, miming oncological lesions. RC were obtained as a function of PET measured sphere-to-background ratio and PET measured sphere metabolic volume, both resulting from the threshold-isocontour technique. PVE correction of lesions of a diameter ranging from 10 mm to 40 mm and for measured L/B m from 2 to 30 was performed using measured RC curves tailored at answering the need to quantify a large variety of real oncological lesions by means of PET. Validation of the PVE correction method resulted to be accurate (>89%) in clinical realistic conditions for lesion diameter > 1 cm, recovering >76% of radioactivity for lesion diameter < 1 cm. Results from patient studies showed that the proposed PVE correction method is suitable and feasible and has an impact on a clinical environment. [ABSTRACT FROM AUTHOR]
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- 2013
46. Dual tracer 68Ga-DOTATOC and 18F-FDG PET/computed tomography radiomics in pancreatic neuroendocrine neoplasms: an endearing tool for preoperative risk assessment
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Matteo Salgarello, Francesca Muffatti, Maria Picchio, Stefano Partelli, Stefano Pasetto, Massimo Falconi, Paola M.V. Rancoita, Valentino Bettinardi, Paola Mapelli, Luca Presotto, Valentina Andreasi, Joniada Doraku, Luigi Gianolli, Mapelli, P., Partelli, S., Salgarello, M., Doraku, J., Pasetto, S., Rancoita, P. M. V., Muffatti, F., Bettinardi, V., Presotto, L., Andreasi, V., Gianolli, L., Picchio, M., Falconi, M., Mapelli, P, Partelli, S, Salgarello, M, Doraku, J, Pasetto, S, Rancoita, P, Muffatti, F, Bettinardi, V, Presotto, L, Andreasi, V, Gianolli, L, Picchio, M, and Falconi, M
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Male ,Preoperative risk ,Computed tomography ,risk stratification ,Octreotide ,030218 nuclear medicine & medical imaging ,surgery ,0302 clinical medicine ,Radiomics ,Positron Emission Tomography Computed Tomography ,Image Processing, Computer-Assisted ,Dual tracer ,texture analysis ,neuroendocrine neoplasm ,medicine.diagnostic_test ,pancreatic neuroendocrine neoplasms ,General Medicine ,Middle Aged ,Neuroendocrine Tumors ,030220 oncology & carcinogenesis ,Preoperative Period ,Principal component analysis ,Female ,dual tracer ,Adult ,Adolescent ,Coefficient of variation ,F-FDG ,Risk Assessment ,Ga-DOTA ,Young Adult ,03 medical and health sciences ,Fluorodeoxyglucose F18 ,Linear regression ,Organometallic Compounds ,medicine ,Humans ,prognostic value ,Radiology, Nuclear Medicine and imaging ,Radioactive Tracers ,Aged ,Retrospective Studies ,neuroendocrine neoplasms ,business.industry ,texture analysi ,Retrospective cohort study ,Pancreatic Neoplasms ,PET/computed tomography ,pancreatic neuroendocrine neoplasm ,Nuclear medicine ,business - Abstract
Aim To explore the potentiality of radiomics analysis, performed on 68Ga-DOTATOC and fluorine-18-fluorodeoxyglucose (18F-FDG) PET/computed tomography (CT) images, in predicting tumour aggressiveness and outcome in patients candidate to surgery for pancreatic neuroendocrine neoplasms (PanNENs). Patients and methods Retrospective study including 61 patients who underwent 68Ga-DOTATOC and 18F-FDG PET/CT before surgery for PanNEN. Semiquantitative variables [SUVmax and somatostatin receptor density (SRD) for 68Ga-DOTATOC PET; SUVmax and MTV for 18F-FDG PET] and texture features [intensity variability, size zone variability (SZV), zone percentage, entropy; homogeneity, dissimilarity and coefficient of variation (Co-V)] have been analysed to evaluate their possible role in predicting tumour characteristics. Principal component analysis (PCA) was firstly performed and then multiple regression analyses were performed by using the extracted principal components. Results Regarding 68Ga-DOTATOC PET, SZV, entropy, intensity variability and SRD were predictive for tumour dimension. Regarding 18F-FDG PET, intensity variability, SZV, homogeneity, SUVmax and MTV were predictive for tumour dimension. Four principal components were extracted from PCA: PC1 correlated with all 18F-FDG variables, while PC2, PC3 and PC4 with 68Ga-DOTATOC variables. PC1 was the only significantly predicting angioinvasion (P = 0.0222); PC4 was the only one significantly predicting lymph nodal involvement (P = 0.0151). All principal components except PC4 significantly predicted tumour dimension (P
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- 2020
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47. OP-21. Inflammation imaging with 99Tcm-biotin in patients with osteomyelitis.
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Fazio, F., Magnani, P., Rusckowski, M., Gianolli, L., Gallazzi, M., Savi, A., Sudati, F., Vaghi, M., and Hnatowich, D.
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- 1997
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48. Clinical PET imaging of tumour hypoxia in lung cancer
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Luigi Gianolli, M. Vuozzo, Elena Incerti, Valentino Bettinardi, Cristina Monterisi, Rosa Maria Moresco, Maria Picchio, Paola Mapelli, Federico Fallanca, Incerti, E, Mapelli, P, Vuozzo, M, Fallanca, F, Monterisi, C, Bettinardi, V, Moresco, R, Gianolli, L, Picchio, M, Incerti, E., Mapelli, P., Vuozzo, M., Fallanca, F., Monterisi, C., Bettinardi, V., Moresco, R. M., Gianolli, L., and Picchio, M.
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Radiology, Nuclear Medicine and Imaging ,medicine.medical_specialty ,medicine.medical_treatment ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Medicine ,Effective treatment ,Radiology, Nuclear Medicine and imaging ,Lung cancer ,Radiation treatment planning ,Tumour hypoxia ,Biomarker, Immunohistochemistry, Lung cancer, PET, Radiotracer, Tumour hypoxia ,Radiotracer ,medicine.diagnostic_test ,business.industry ,Biomarker ,Pet imaging ,Hypoxia (medical) ,medicine.disease ,Immunohistochemistry ,Radiation therapy ,PET ,Positron emission tomography ,030220 oncology & carcinogenesis ,Radiology ,medicine.symptom ,business ,Treatment monitoring - Abstract
Purpose: The aim of the present systematic review was to provide an overview on the different positron emission tomography (PET) hypoxia radiotracers in the clinical setting of lung cancer. Methods: We performed a comprehensive literature review on the role of PET hypoxia imaging in lung cancer using the electronic databases PubMed and Scopus to select English written language articles on humans from January 2007 to February 2017. The following keywords have been used: “hypoxia” or “hypoxic” and “PET” and “lung cancer”. Reviews, clinical reports, and editorial articles were excluded. Results: Originally, we considered 76 manuscripts, coming to a selection of 37 original articles. In particular, the selected original articles included the following PET radiotracer categories: nitroimidazole compounds, glucose analogue and bis(thiosemicarbazone) complexes. PET radiotracers, particularly nitroimidazole compounds, are the most suitable method to directly identify the presence of hypoxia in lung cancer. Conclusions: Based on the literature review, the definition of the role of clinical application of PET hypoxia radiotracers has been provided reporting that in vivo hypoxia imaging is needed for effective treatment selection, individual treatment planning, and treatment monitoring in oncology.
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- 2017
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49. A0984 - 68Ga-PSMA PET radiomics for the prediction of post-surgical ISUP grade in primary prostate cancer patients.
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Ghezzo, S., Brembilla, G., Russo, T., Gotuzzo, I., Preza, E., Samanes Gajate, A.M., Mapelli, P., Bezzi, C., Cucchiara, V., Mongardi, S., Neri, I., Gandaglia, G., Montorsi, F., Briganti, A., De Cobelli, F., Gianolli, L., Scifo, P., and Picchio, M.
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- *
PROSTATE cancer patients , *CANCER patients , *RADIOMICS - Published
- 2023
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50. Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study
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Michele Bailo, Nicolò Pecco, Marcella Callea, Paola Scifo, Filippo Gagliardi, Luca Presotto, Valentino Bettinardi, Federico Fallanca, Paola Mapelli, Luigi Gianolli, Claudio Doglioni, Nicoletta Anzalone, Maria Picchio, Pietro Mortini, Andrea Falini, Antonella Castellano, Bailo, M, Pecco, N, Callea, M, Scifo, P, Gagliardi, F, Presotto, L, Bettinardi, V, Fallanca, F, Mapelli, P, Gianolli, L, Doglioni, C, Anzalone, N, Picchio, M, Mortini, P, Falini, A, and Castellano, A
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hypoxia imaging ,perfusion-weighted imaging ,PET ,diffusion-weighted imaging ,General Neuroscience ,tumor heterogeneity ,habitat ,high-grade glioma ,MRI - Abstract
BackgroundTumor heterogeneity poses major clinical challenges in high-grade gliomas (HGGs). Quantitative radiomic analysis with spatial tumor habitat clustering represents an innovative, non-invasive approach to represent and quantify tumor microenvironment heterogeneity. To date, habitat imaging has been applied mainly on conventional magnetic resonance imaging (MRI), although virtually extendible to any imaging modality, including advanced MRI techniques such as perfusion and diffusion MRI as well as positron emission tomography (PET) imaging.ObjectivesThis study aims to evaluate an innovative PET and MRI approach for assessing hypoxia, perfusion, and tissue diffusion in HGGs and derive a combined map for clustering of intra-tumor heterogeneity.Materials and MethodsSeventeen patients harboring HGGs underwent a pre-operative acquisition of MR perfusion (PWI), Diffusion (dMRI) and 18F-labeled fluoroazomycinarabinoside (18F-FAZA) PET imaging to evaluate tumor vascularization, cellularity, and hypoxia, respectively. Tumor volumes were segmented on fluid-attenuated inversion recovery (FLAIR) and T1 post-contrast images, and voxel-wise clustering of each quantitative imaging map identified eight combined PET and physiologic MRI habitats. Habitats’ spatial distribution, quantitative features and histopathological characteristics were analyzed.ResultsA highly reproducible distribution pattern of the clusters was observed among different cases, particularly with respect to morphological landmarks as the necrotic core, contrast-enhancing vital tumor, and peritumoral infiltration and edema, providing valuable supplementary information to conventional imaging. A preliminary analysis, performed on stereotactic bioptic samples where exact intracranial coordinates were available, identified a reliable correlation between the expected microenvironment of the different spatial habitats and the actual histopathological features. A trend toward a higher representation of the most aggressive clusters in WHO (World Health Organization) grade IV compared to WHO III was observed.ConclusionPreliminary findings demonstrated high reproducibility of the PET and MRI hypoxia, perfusion, and tissue diffusion spatial habitat maps and correlation with disease-specific histopathological features.
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- 2022
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