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Your search keyword '"Piergiorgio Cerello"' showing total 18 results
Start Over Author "Piergiorgio Cerello" Publication Type Academic Journals
18 results on '"Piergiorgio Cerello"'

1. Estimating the stopping power distribution during proton therapy: A proof of concept

Author

Veronica Ferrero, Julius Werner, Piergiorgio Cerello, Elisa Fiorina, Anna Vignati, Francesco Pennazio, and Magdalena Rafecas

Subjects
treatment verification, prompt gamma timing, reconstruction algorithms, stopping power, adaptive treatment, Monte Carlo simulations, Physics, QC1-999
Abstract

Objective: We introduce a new treatment verification technique to estimate the primary particle’s stopping power from prompt gamma timing measurements in proton therapy.Approach: The starting point is the Spatio-temporal Emission Recostruction technique, which provides the time-depth distribution of the emitted prompt photons with a multiple Prompt-Gamma Timing detector setup based on Lanthanum Bromide crystals. A dedicated formalism based on an analytical approximation of the stopping power is developed to obtain the desired information. Its performance is evaluated in a proof of concept configuration via Monte Carlo simulations of monochromatic proton beams impinging on a homogeneous PMMA phantom.Main Results: Results indicate stopping power estimations as good as 3.8% with respect to NIST values, and range estimations within 0.3 cm (standard deviation), when considering 250 ps FWHM timing resolution.Significance: The current study shows, for the first time, the feasibility of evaluating the stopping power of primary beams with a technique that can be performed in-vivo, opening up new possibilities in the field of treatment verification and therapy optimization.

Published
2022
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2. In-vivo range verification analysis with in-beam PET data for patients treated with proton therapy at CNAO

Author

Martina Moglioni, Aafke Christine Kraan, Guido Baroni, Giuseppe Battistoni, Nicola Belcari, Andrea Berti, Pietro Carra, Piergiorgio Cerello, Mario Ciocca, Angelica De Gregorio, Micol De Simoni, Damiano Del Sarto, Marco Donetti, Yunsheng Dong, Alessia Embriaco, Maria Evelina Fantacci, Veronica Ferrero, Elisa Fiorina, Marta Fischetti, Gaia Franciosini, Giuseppe Giraudo, Francesco Laruina, Davide Maestri, Marco Magi, Giuseppe Magro, Etesam Malekzadeh, Michela Marafini, Ilaria Mattei, Enrico Mazzoni, Paolo Mereu, Alfredo Mirandola, Matteo Morrocchi, Silvia Muraro, Ester Orlandi, Vincenzo Patera, Francesco Pennazio, Marco Pullia, Alessandra Retico, Angelo Rivetti, Manuel Dionisio Da Rocha Rolo, Valeria Rosso, Alessio Sarti, Angelo Schiavi, Adalberto Sciubba, Giancarlo Sportelli, Sara Tampellini, Marco Toppi, Giacomo Traini, Antonio Trigilio, Serena Marta Valle, Francesca Valvo, Barbara Vischioni, Viviana Vitolo, Richard Wheadon, and Maria Giuseppina Bisogni

Subjects
proton therapy, in-beam PET imaging, in-vivo treatment verification, morphological changes, inter-fractional range differences, clinical trial, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Morphological changes that may arise through a treatment course are probably one of the most significant sources of range uncertainty in proton therapy. Non-invasive in-vivo treatment monitoring is useful to increase treatment quality. The INSIDE in-beam Positron Emission Tomography (PET) scanner performs in-vivo range monitoring in proton and carbon therapy treatments at the National Center of Oncological Hadrontherapy (CNAO). It is currently in a clinical trial (ID: NCT03662373) and has acquired in-beam PET data during the treatment of various patients. In this work we analyze the in-beam PET (IB-PET) data of eight patients treated with proton therapy at CNAO. The goal of the analysis is twofold. First, we assess the level of experimental fluctuations in inter-fractional range differences (sensitivity) of the INSIDE PET system by studying patients without morphological changes. Second, we use the obtained results to see whether we can observe anomalously large range variations in patients where morphological changes have occurred. The sensitivity of the INSIDE IB-PET scanner was quantified as the standard deviation of the range difference distributions observed for six patients that did not show morphological changes. Inter-fractional range variations with respect to a reference distribution were estimated using the Most-Likely-Shift (MLS) method. To establish the efficacy of this method, we made a comparison with the Beam’s Eye View (BEV) method. For patients showing no morphological changes in the control CT the average range variation standard deviation was found to be 2.5 mm with the MLS method and 2.3 mm with the BEV method. On the other hand, for patients where some small anatomical changes occurred, we found larger standard deviation values. In these patients we evaluated where anomalous range differences were found and compared them with the CT. We found that the identified regions were mostly in agreement with the morphological changes seen in the CT scan.

Published
2022
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3. Monitoring Carbon Ion Beams Transverse Position Detecting Charged Secondary Fragments: Results From Patient Treatment Performed at CNAO

Author

Marco Toppi, Guido Baroni, Giuseppe Battistoni, Maria Giuseppina Bisogni, Piergiorgio Cerello, Mario Ciocca, Patrizia De Maria, Micol De Simoni, Marco Donetti, Yunsheng Dong, Alessia Embriaco, Veronica Ferrero, Elisa Fiorina, Marta Fischetti, Gaia Franciosini, Aafke Christine Kraan, Carmela Luongo, Etesam Malekzadeh, Marco Magi, Carlo Mancini-Terracciano, Michela Marafini, Ilaria Mattei, Enrico Mazzoni, Riccardo Mirabelli, Alfredo Mirandola, Matteo Morrocchi, Silvia Muraro, Vincenzo Patera, Francesco Pennazio, Angelo Schiavi, Adalberto Sciubba, Elena Solfaroli-Camillocci, Giancarlo Sportelli, Sara Tampellini, Giacomo Traini, Serena Marta Valle, Barbara Vischioni, Viviana Vitolo, and Alessio Sarti

Subjects
particle therapy, carbon ions, online monitoring, charged particles, fibre detectors, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Particle therapy in which deep seated tumours are treated using 12C ions (Carbon Ions RadioTherapy or CIRT) exploits the high conformity in the dose release, the high relative biological effectiveness and low oxygen enhancement ratio of such projectiles. The advantages of CIRT are driving a rapid increase in the number of centres that are trying to implement such technique. To fully profit from the ballistic precision achievable in delivering the dose to the target volume an online range verification system would be needed, but currently missing. The 12C ions beams range could only be monitored by looking at the secondary radiation emitted by the primary beam interaction with the patient tissues and no technical solution capable of the needed precision has been adopted in the clinical centres yet. The detection of charged secondary fragments, mainly protons, emitted by the patient is a promising approach, and is currently being explored in clinical trials at CNAO. Charged particles are easy to detect and can be back-tracked to the emission point with high efficiency in an almost background-free environment. These fragments are the product of projectiles fragmentation, and are hence mainly produced along the beam path inside the patient. This experimental signature can be used to monitor the beam position in the plane orthogonal to its flight direction, providing an online feedback to the beam transverse position monitor chambers used in the clinical centres. This information could be used to cross-check, validate and calibrate, whenever needed, the information provided by the ion chambers already implemented in most clinical centres as beam control detectors. In this paper we study the feasibility of such strategy in the clinical routine, analysing the data collected during the clinical trial performed at the CNAO facility on patients treated using 12C ions and monitored using the Dose Profiler (DP) detector developed within the INSIDE project. On the basis of the data collected monitoring three patients, the technique potential and limitations will be discussed.

Published
2021
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4. Detection of Interfractional Morphological Changes in Proton Therapy: A Simulation and In Vivo Study With the INSIDE In-Beam PET

Author

Elisa Fiorina, Veronica Ferrero, Guido Baroni, Giuseppe Battistoni, Nicola Belcari, Niccolo Camarlinghi, Piergiorgio Cerello, Mario Ciocca, Micol De Simoni, Marco Donetti, Yunsheng Dong, Alessia Embriaco, Marta Fischetti, Gaia Franciosini, Giuseppe Giraudo, Aafke Kraan, Francesco Laruina, Carmela Luongo, Davide Maestri, Marco Magi, Giuseppe Magro, Etesam Malekzadeh, Carlo Mancini Terracciano, Michela Marafini, Ilaria Mattei, Enrico Mazzoni, Paolo Mereu, Riccardo Mirabelli, Alfredo Mirandola, Matteo Morrocchi, Silvia Muraro, Alessandra Patera, Vincenzo Patera, Francesco Pennazio, Alessandra Retico, Angelo Rivetti, Manuel Dionisio Da Rocha Rolo, Valeria Rosso, Alessio Sarti, Angelo Schiavi, Adalberto Sciubba, Elena Solfaroli Camillocci, Giancarlo Sportelli, Sara Tampellini, Marco Toppi, Giacomo Traini, Serena Marta Valle, Francesca Valvo, Barbara Vischioni, Viviana Vitolo, Richard Wheadon, and Maria Giuseppina Bisogni

Subjects
proton therapy, in vivo treatment verification, in-beam pet, range monitoring, Monte Carlo simulation, adaptive therapy, Physics, QC1-999
Abstract

In particle therapy, the uncertainty of the delivered particle range during the patient irradiation limits the optimization of the treatment planning. Therefore, an in vivo treatment verification device is required, not only to improve the plan robustness, but also to detect significant interfractional morphological changes during the treatment itself. In this article, an effective and robust analysis to detect regions with a significant range discrepancy is proposed. This study relies on an in vivo treatment verification by means of in-beam Positron Emission Tomography (PET) and was carried out with the INSIDE system installed at the National Center of Oncological Hadrontherapy (CNAO) in Pavia, which is under clinical testing since July 2019. Patients affected by head-and-neck tumors treated with protons have been considered. First, in order to tune the analysis parameters, a Monte Carlo (MC) simulation was carried out to reproduce a patient who required a replanning because of significant morphological changes found during the treatment. Then, the developed approach was validated on the experimental measurements of three patients recruited for the INSIDE clinical trial (ClinicalTrials.gov ID: NCT03662373), showing the capability to estimate the treatment compliance with the prescription both when no morphological changes occurred and when a morphological change did occur, thus proving to be a promising tool for clinicians to detect variations in the patients treatments.

Published
2021
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5. The Drift Chamber detector of the FOOT experiment: Performance analysis and external calibration

Author

Dong, Yunsheng, Gianluigi, Silvestre, Sofia, Colombi, Andrey, Alexandrov, Behcet, Alpat, Giovanni, Ambrosi, Stefano, Argirò, Arteche Diaz, Raul, Mattia, Barbanera, Nazar, Bartosik, Nicola, Belcari, Elettra, Bellinzona, Silvia, Biondi, Bisogni, Maria Giuseppina, Graziano, Bruni, Pietro, Carra, Piergiorgio, Cerello, Esther, Ciarrocchi, Alberto, Clozza, De Lellis, Giovanni, Del Guerra, Alberto, De Simoni, Micol, Di Crescenzo, Antonia, Di Ruzza, Benedetto, Marco, Donetti, Marco, Durante, Veronica, Ferrero, Emanuele, Fiandrini, Christian, Finck, Elisa, Fiorina, Marta, Fischetti, Marco, Francesconi, Matteo, Franchini, Gaia, Franciosini, Giuliana, Galati, Luca, Galli, Valerio, Gentile, Giuseppe, Giraudo, Ronja, Hetzel, Enzo, Iarocci, Maria, Ionica, Keida, Kanxheri, Kraan, Aafke Christine, Valeria, Lante, La Tessa, Chiara, Martina, Laurenza, Adele, Lauria, Lopez Torres, Ernesto, Michela, Marafini, Cristian, Massimi, Ilaria, Mattei, Alberto, Mengarelli, Andrea, Moggi, Montesi, Maria Cristina, Morone, Maria Cristina, Matteo, Morrocchi, Silvia, Muraro, Livio, Narici, Alessandra, Pastore, Nadia, Pastrone, Patera, Vincenzo, Francesco, Pennazio, Pisana, Placidi, Marco, Pullia, Fabrizio, Raffaelli, Luciano, Ramello, Riccardo, Ridolfi, Valeria, Rosso, Claudio, Sanelli, Alessio, Sarti, Gabriella, Sartorelli, Osamu, Sato, Simone, Savazzi, Lorenzo, Scavarda, Angelo, Schiavi, Christoph, Schuy, Emanuele, Scifoni, Adalberto, Sciubba, Alexandre, Sécher, Marco, Selvi, Mario, Sitta, Roberto, Spighi, Eleuterio, Spiriti, Giancarlo, Sportelli, Achim, Stahl, Sandro, Tomassini, Marco, Toppi, Giacomo, Traini, Tioukov, Valeri, Valle, Serena Marta, Vanstalle, Marie, Villa, Mauro, Ulrich, Weber, Antonio, Zoccoli, Battistoni, Giuseppe, Servoli, Leonello, and Tommasino, Francesco

Published
2021
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7. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.

Author

Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen 0011, Qi Dou 0001, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen 0001, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou, and Mathias Prokop

Published
2017
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11. Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study.

Author

Bram van Ginneken, Samuel G. Armato III, Bartjan de Hoop, Saskia van Amelsvoort-van de Vorst, Thomas Duindam, Meindert Niemeijer, Keelin Murphy, Arnold M. R. Schilham, Alessandra Retico, Maria Evelina Fantacci, Niccolò Camarlinghi, Francesco Bagagli, Ilaria Gori, Takeshi Hara, Hiroshi Fujita 0001, Gianfranco Gargano, Roberto Bellotti, Sabina Sonia Tangaro, Lourdes Bolanos, Francesco De Carlo, Piergiorgio Cerello, Sorin Cristian Cheran, Ernesto Lopez Torres, and Mathias Prokop

Published
2010
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12. 3-D object segmentation using ant colonies.

Author

Piergiorgio Cerello, Sorin Cristian Cheran, Stefano Bagnasco, Roberto Bellotti, Lourdes Bolanos, Ezio Catanzariti, Giorgio De Nunzio, Maria Evelina Fantacci, Elisa Fiorina, Gianfranco Gargano, Gianluca Gemme, Ernesto Lopez Torres, Giovanni Luca Masala, Cristiana Peroni, and Matteo Santoro

Published
2010
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14. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.

Author

Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen 0011, Qi Dou 0001, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen 0001, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Mathias Prokop, Marco Saletta, Cornelia Schaefer-Prokop, Ernst Th. Scholten, Luuk Scholten, Miranda M. Snoeren, Ernesto Lopez Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido C. A. Zuidhof, Bram van Ginneken, and Colin Jacobs

Published
2016

16. HEP Applications and Their Experience with the Use of DataGrid Middleware.

Author

Stephen Burke, F. Harris, Ian Stokes-Rees, I. Augustin, F. Carminati, Joel Closier, Eric van Herwijnen, Andrea Sciabà, D. Boutigny, J. J. Blaising, Vincent Garonne, Andrei Tsaregorodtsev, P. Capiluppi, Alessandra Fanfani, Claudio Grandi, Roberto Barbera, Eleonora Luppi, Guido Negri, Laura Perini, Silvia Resconi, Mario Reale, Alessandro De Salvo, Stefano Bagnasco, Piergiorgio Cerello, K. Bos, David L. Groep, W. van Leeuwen, Jeffrey Templon, Oxana Smirnova, Owen Maroney, Frederic Brochu, and D. Colling

Published
2004
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17. HEP Applications Evaluation of the EDG Testbed and Middleware

Author

I. Augustin, F. Carminati, Joel Closier, Eric van Herwijnen, J. J. Blaising, D. Boutigny, C. Charlot, Vincent Garonne, Andrei Tsaregorodtsev, K. Bos, Jeffrey Templon, P. Capiluppi, Alessandra Fanfani, Roberto Barbera, Guido Negri, Laura Perini, Silvia Resconi, M. Sitta, Mario Reale, Domenico Vicinanza, Stefano Bagnasco, Piergiorgio Cerello, Andrea Sciabà, Oxana Smirnova, D. Colling, F. Harris, and Stephen Burke

Published
2003

18. Carbon ions beam therapy monitoring with the INSIDE in-beam PET.

Author

Francesco Pennazio, Giuseppe Battistoni, Maria Giuseppina Bisogni, Niccolò Camarlinghi, Alfredo Ferrari, Veronica Ferrero, Elisa Fiorina, Matteo Morrocchi, Paola Sala, Giancarlo Sportelli, Richard Wheadon, and Piergiorgio Cerello

Subjects
CROSS-sectional imaging, GEOMETRIC tomography, MEDICAL radiography, RADIOSCOPIC diagnosis, TISSUE wounds
Abstract

In vivo range monitoring techniques are necessary in order to fully take advantage of the high dose gradients deliverable in hadrontherapy treatments. Positron emission tomography (PET) scanners can be used to monitor beam-induced activation in tissues and hence measure the range. The INSIDE (Innovative Solutions for In-beam DosimEtry in Hadrontherapy) in-beam PET scanner, installed at the Italian National Center of Oncological Hadrontherapy (CNAO, Pavia, Italy) synchrotron facility, has already been successfully tested in vivo during a proton therapy treatment. We discuss here the system performance evaluation with carbon ion beams, in view of future in vivo tests. The work is focused on the analysis of activity images obtained with therapeutic treatments delivered to polymethyl methacrylate (PMMA) phantoms, as well as on the test of an innovative and robust Monte Carlo simulation technique for the production of reliable prior activity maps. Images are reconstructed using different integration intervals, so as to monitor the activity evolution during and after the treatment. Three procedures to compare activity images are presented, namely Pearson correlation coefficient, Beam's eye view and overall view. Images of repeated irradiations of the same treatments are compared to assess the integration time necessary to provide reproducible images. The range agreement between simulated and experimental images is also evaluated, so as to validate the simulation capability to provide sound prior information. The results indicate that at treatment end, or at most 20 s afterwards, the range measurement is reliable within 1–2 mm, when comparing both different experimental sessions and data with simulations. In conclusion, this work shows that the INSIDE in-beam PET scanner performance is promising towards its in vivo test with carbon ions. [ABSTRACT FROM AUTHOR]

Published
2018
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