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14 results on '"Giulia, Fontana"'

1. Clinical Outcomes of Carbon Ion Radiation Therapy for Malignant Peripheral Nerve Sheath Tumors

Author

Maria Rosaria Fiore, MSc, Agnieszka Chalaszczyk, MSc, Amelia Barcellini, MSc, Viviana Vitolo, MSc, Giulia Fontana, MSc, Stefania Russo, MSc, Marco Rotondi, MSc, Silvia Molinelli, MSc, Alfredo Mirandola, MSc, Alessia Bazani, MSc, and Ester Orlandi, MSc

Subjects
Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Purpose: To investigate the outcome and toxicity of patients affected by malignant peripheral nerve sheath tumors (MPNSTs) treated with high-dose carbon ion radiation therapy (CIRT). Methods and Materials: We retrospectively analyzed the outcome of 23 patients with MPNSTs treated between July 2013 and December 2020. Out of these, 13 patients (56.5%) had incompletely resected tumors, 8 patients (34.7%) experienced recurrence after surgery, and 2 patients (8.7%) had unresectable tumors. Before CIRT treatment, 4 patients underwent a second surgery after the first local recurrence (LR), and 1 patient underwent a third surgery for the second local relapse of the disease. Six (26%) patients received neoadjuvant chemotherapy. The most frequent tumor site was the brachial plexus (n = 9; 39.1%). In 5 patients (21.7%), neurofibromatosis type 1 disorder was found, while 4 patients (17, 4%) had radiation-induced MPNSTs. The median CIRT prescribed total dose was 69.8 Gy (relative biological effectiveness; range, 54-76.8) delivered in a median of 16 fractions (range, 15-22). Eleven patients (47.82%) were treated according to a sequential boost protocol with a median prescribed dose to clinical target volume LR of 45 Gy (relative biological effectiveness; range, 41.4-54). Results: After a median follow-up time of 23 months (range, 3-100 months), the overall survival rates at 1 and 2 years were 82.38% and 61.51%, respectively. The 1-year and 2-year local relapse-free survival rates were 65.07% and 48.80%, respectively, and the 1-year and 2-year progression-free survival rates were 56.37% and 40.99%, respectively. No patients showed acute or late grade 4 toxicity or any treatment-related deaths. Ten patients (43.48%) reported acute toxicities of grade ≥ 2, which included dermatitis in 6 patients, mucositis in 2 patients, and peripheral neuropathy in 4 patients. Eight patients (34.78%) reported late toxicities of grade ≥ 2, mainly due to loco-regional neuropathy. Conclusions: High-dose CIRT shows favorable local effects with acceptable toxicities in patients with gross residual and LR after surgery or unresectable malignant peripheral nerve sheath tumors. Advanced treatment modalities such as particle therapy should be considered for MPNSTs.

Published
2024
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3. The first real-world study on the role of carbon ion radiotherapy for oligo-metastatic, persistent, or recurrent (MPR) ovarian/fallopian tube cancer

Author

Amelia Barcellini, Kazutoshi Murata, Giulia Fontana, Alessandro Vai, Chiara Cassani, Fabio Landoni, Laura Deborah Locati, Francesco Raspagliesi, Simona Secondino, Mattia Pecorilla, Shigeru Yamada, Noriyuki Okonogi, and Ester Orlandi

Subjects
Carbon Ion Radiotherapy, Fallopian tube cancer, Ovarian Cancer, Oligometastases, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Introduction: In the multidisciplinary management of oligometastatic, persistent, or recurrent (MPR) ovarian cancer, radiotherapy (RT) is becoming a more and more worthwhile treatment to potentially improve the chronicity of the disease. Particle beam RT has proved to be effective in several gynecological malignancies, but so far no data are available for ovarian cancer. Material and Methods: This is a real-world, retrospective, bi-institutional, single-arm study aimed to assess the effectiveness and the safety of carbon ion RT (CIRT) in this setting. The co-first endpoints are 1-year and 2-year actuarial local control (LC) rates and the objective response rate (ORR) defined on a “per lesion” basis. The secondary endpoint was toxicity. Actuarial outcomes were evaluated using the Kaplan-Meier method while potential predictors were explored using the Log-rank test. Bi-variable logistic regression was employed in the analysis of factors predicting the complete response on a per-lesion basis. Results: 26 patients accounting for a total of 36 lesions underwent CIRT with a total median dose of 52.8 Gy[RBE] (range: 39–64 Gy[RBE]). Five patients received CIRT for re-irradiation. No concomitant systemic therapies were administered during CIRT. Within 12 months after the treatment, 17 lesions (47 %) achieved complete response while 18 (50 %) obtained a partial response with an ORR of 97 %. The achievement of a complete response is related to the dose per fraction (>4.2 Gy[RBE], p = 0.04) and total dose (>52,8 Gy[RBE], p = 0.05). The 1-year LC was 92 % and the 2-year LC was 83 %, according to the achievement of a CR (p = 0.007) and GTV ≤ 14 cm3 (p = 0.024). No grade > 3 toxicities were recorded both in naïve and re-irradiated patients. PARP-i and anti-VEGF seemed not to exacerbate the risk of severe toxicities. Conclusions: CIRT was effective and safe in MPR ovarian cancers, even in the case of re-irradiation. Largest cohort studies and longer follow-up are needed to confirm these data.

Published
2024
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5. Management of pregnancy in autoimmune rheumatic diseases: maternal disease course, gestational and neonatal outcomes and use of medications in the prospectiveItalian P-RHEUM.it study

Author

Carlo Alberto Scirè, Alessandra Bortoluzzi, Andrea Doria, Micaela Fredi, Marcello Govoni, Chiara Tani, Angela Tincani, Maurizio Cutolo, Marta Mosca, Florenzo Iannone, Elena Elefante, Margherita Zen, Maddalena Larosa, Paola Conigliaro, Maria Sole Chimenti, Veronica Codullo, Cecilia Nalli, Veronique Ramoni, Carlomaurizio Montecucco, Marco Taglietti, Valentina Picerno, Greta Carrara, Laura Andreoli, Chiara Marvisi, Carlo Salvarani, Serena Guiducci, Antonio Luca Brucato, Franco Franceschini, Giandomenico Sebastiani, Marta Tonello, Silvia Bellando-Randone, Dina Zucchi, Giovanna Cuomo, Maria Letizia Urban, Maria Gerosa, Ettore Silvagni, Elisa Bellis, Francesca Bellisai, Alessandra Milanesi, Patrizia Rovere-Querini, Ariela Hoxha, Salvatore D'Angelo, Sonia Zatti, Emanuele Bizzi, Gianpiero Landolfi, Bernd Raffeiner, Leonardo Santo, Teresa Del Ross, Maria Stefania Cutro, Giulia Pazzola, Oscar Massimiliano Epis, Sara Benedetti, Maria Favaro, Antonia Calligaro, Annamaria Iuliano, Sabrina Gori, Francesca Crisafulli, Matteo Filippini, Maria Chiara Gerardi, Maria Grazia Lazzaroni, Cecilia Beatrice Chighizola, Laura Trespidi, Maria Chiara Ditto, Cristina Zanardini, Roberta Erra, Melissa Padovan, Irene Mattioli, Davide Rozza, Claudia Lomater, Daniele Lini, Valentina Canti, Rebecca De Lorenzo, Francesca Ruffilli, Giulia Carrea, Ludovica Cavallo, Alessandra Zambon, Claudia Barison, Francesca Serale, Paolo Semeraro, Chiara Loardi, Rossana Orabona, Francesca Ramazzotto, Giulia Fontana, Giorgia Gozzoli, Paola Bizioli, Roberto Felice Caporali, Manuela Wally Ossola, Beatrice Maranini, Danila Morano, Rosita Verteramo, Maria Grazia Anelli, Marlea Lavista, Anna Abbruzzese, Carlo Giuseppe Fasano, Teresa Carbone, Angela Anna Padula, Giuseppina Comitini, Giuseppina Di Raimondo, Clizia Gagliardi, Gloria Crepaldi, Estrella Garcia Gonzalez, Anna Paola Pata, Martina Zerbinati, and Sara Tonetta

Subjects
Medicine
Abstract

Objectives To investigate pregnancy outcomes in women with autoimmune rheumatic diseases (ARD) in the Italian prospective cohort study P-RHEUM.it.Methods Pregnant women with different ARD were enrolled for up to 20 gestational weeks in 29 Rheumatology Centres for 5 years (2018–2023). Maternal and infant information were collected in a web-based database.Results We analysed 866 pregnancies in 851 patients (systemic lupus erythematosus was the most represented disease, 19.6%). Maternal disease flares were observed in 135 (15.6%) pregnancies. 53 (6.1%) pregnancies were induced by assisted reproduction techniques, 61 (7%) ended in miscarriage and 11 (1.3%) underwent elective termination. Obstetrical complications occurred in 261 (30.1%) pregnancies, including 2.3% pre-eclampsia. Two cases of congenital heart block were observed out of 157 pregnancies (1.3%) with anti-Ro/SSA. Regarding treatments, 244 (28.2%) pregnancies were treated with glucocorticoids, 388 (44.8%) with hydroxychloroquine, 85 (9.8%) with conventional synthetic disease-modifying anti-rheumatic drugs and 122 (14.1%) with biological disease-modifying anti-rheumatic drugs. Live births were 794 (91.7%), mostly at term (84.9%); four perinatal deaths (0.5%) occurred. Among 790 newborns, 31 (3.9%) were small-for-gestational-age and 169 (21.4%) had perinatal complications. Exclusive maternal breast feeding was received by 404 (46.7%) neonates. The Edinburgh Postnatal Depression Scale was compiled by 414 women (52.4%); 89 (21.5%) scored positive for emotional distress.Conclusions Multiple factors including preconception counselling and treat-to-target with pregnancy-compatible medications may have contributed to mitigate disease-related risk factors, yielding limited disease flares, good pregnancy outcomes and frequency of complications which were similar to the Italian general obstetric population. Disease-specific issues need to be further addressed to plan preventative measures.

Published
2024
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6. Investigating the use of virtual 4DCT from 4DMRI in gated carbon ion radiation therapy of abdominal tumors

Author

Giorgia Meschini, Alessandro Vai, Chiara Paganelli, Silvia Molinelli, Davide Maestri, Giulia Fontana, Andrea Pella, Viviana Vitolo, Francesca Valvo, Mario Ciocca, and Guido Baroni

Subjects
Carbon ion therapy, Motion, Virtual 4DCT, 4DMRI, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Purpose: To generate virtual 4DCT from 4DMRI with field of view (FOV) extended to the entire involved patient anatomy, in order to evaluate its use in carbon ion radiation therapy (CIRT) of the abdominal site in a clinical scenario. Materials and methods: The virtual 4DCT was generated by deforming a reference CT in order to (1) match the anatomy depicted in the 4DMRI within its FOV, by calculating deformation fields with deformable image registration to describe inter-fractional and breathing motion, and (2) obtain physically plausible deformation outside of the 4DMRI FOV, by propagating and modulating the previously obtained deformation fields. The implemented method was validated on a digital anthropomorphic phantom, for which a ground truth (GT) 4DCT was available. A CIRT treatment plan was optimized at the end-exhale reference CT and the RBE-weighted dose distribution was recalculated on both the virtual and GT 4DCTs. The method estimation error was quantified by comparing the virtual and GT 4DCTs and the corresponding recomputed doses. The method was then evaluated on 8 patients with pancreas or liver tumors treated with CIRT using respiratory gating at end-exhale. The clinical treatment plans adopted at the National Center for Oncological Hadrontherapy (CNAO, Pavia, Italy) were considered and the dose distribution was recomputed on all respiratory phases of the planning and virtual 4DCTs. By comparing the two datasets and the corresponding dose distributions, the geometrical and dosimetric impact of organ motion was assessed. Results: For the phantom, the error outside of the 4DMRI FOV was up to 4.5 mm, but it remained sub-millimetric in correspondence to the target within the 4DMRI FOV. Although the impact of motion on the target D95% resulted in variations ranging from 22% to 90% between the planned dose and the doses recomputed on the GT 4DCT phases, the corresponding estimation error was ≤2.2%. In the patient cases, the variation of the baseline tumor position between the planning and the virtual end-exhale CTs presented a median (interquartile range) value of 6.0 (4.9) mm. For baseline variations larger than 5 mm, the tumor D95% variation between the plan and the dose recomputed on the end-exhale virtual CT resulted larger than 10%. Median variations higher than 10% in the target D95% and gastro-intestinal OARs D2% were quantified at the end-inhale, whereas close to the end-exhale phase, limited variations of relevant dose metrics were found for both tumor and OARs. Conclusions: The negligible impact of the geometrical inaccuracy in the estimated anatomy outside of the 4DMRI FOV on the overall dosimetric accuracy suggests the feasibility of virtual 4DCT with extended FOV in CIRT of the abdominal site. In the analyzed patient group, inter-fractional variations such as baseline variation and breathing variability were quantified, demonstrating the method capability to support treatment planning in gated CIRT of the abdominal site.

Published
2022
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7. Exploring the role of neutrophil-to-lymphocyte ratio and blood chemistry in head and neck adenoid cystic carcinomas treated with carbon ion radiotherapy

Author

Amelia Barcellini, Giulia Fontana, Daria Maria Filippini, Sara Ronchi, Maria Bonora, Barbara Vischioni, Rossana Ingargiola, Anna Maria Camarda, Pierre Loap, Nadia Facchinetti, Lisa Licitra, Guido Baroni, and Ester Orlandi

Subjects
Oncology, Radiology, Nuclear Medicine and imaging, Hematology
Abstract

In recent years, there is an emerging interest in the prognostic role of chemistry blood biomarkers in oncological patients but their role in adenoid cystic carcinomas (ACCs) is still unknown. This study aims to assess the prognostic significance of baseline neutrophil-to-lymphocyte ratio (NLR) and blood chemistry in a series of head and neck ACC patients treated with carbon ion radiotherapy (CIRT).We retrospectively retrieved the data of 49 consecutive head and neck ACC patients treated with CIRT. Univariable and multivariable Cox proportional hazard regression (Cox-ph) analyses were performed to look for a potential association of NLR, and other blood biomarker values, with disease-free survival (DFS), Local Control (LC), Metastasis Free Survival (MFS) and overall survival (OS).No significant association between NLR 2,5 and DFS, LC, MFS and OS was found with univariable analysis although a trend was reported for DFS (Hazard ratio [HR]: 2,10, 95 % CI: 0,85 - 5,08, p-value = 0,11). Patients with hemoglobin (hb) ≤ 14 g/dL showed significantly better DFS, MFS and OS. Multivariable regression Cox-ph analysis for DFS, adjusted for margin status, clinical target volume and Absolute Number of Monocytes, reported the following statistically significant HRs, for both NLR 2,5 and hb 14 g/dL respectively: 4,850 (95 % CI = 1,408 - 16,701, p = 0,012) and 3,032 (95 % CI = 1,095 - 8,393, p = 0,033). Moreover, hb 14 with HR = 3,69 (95 % CI: 1,23 - 11,07, p-value = 0,02), was a negative independent prognostic predictor for MFS.Pre-treatment NLR and hb values seem to be independent prognostic predictor for clinical outcomes in head and neck ACC patients. If their role will be validated in a larger prospective cohort, they might be worthwhile for a pre-treatment risk stratification in patients treated with CIRT.

Published
2022
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8. Role of diffusion-weighted MRI in recurrent rectal cancer treated with carbon ion radiotherapy

Author

Giulia Fontana, Amelia Barcellini, Dario Boccuzzi, Mattia Pecorilla, Pierre Loap, Lorenzo Cobianchi, Viviana Vitolo, Maria Rosaria Fiore, Alessandro Vai, Guido Baroni, Lorenzo Preda, Sara Imparato, and Ester Orlandi

Subjects
Cancer Research, Diffusion Magnetic Resonance Imaging, Oncology, Rectal Neoplasms, Humans, Heavy Ion Radiotherapy, General Medicine, Neoplasm Recurrence, Local, Magnetic Resonance Imaging
Abstract

Aim: To evaluate the association between pretreatment diffusion-weighted MRI (DW-MRI) and 12-month radiological response in locally recurrent rectal cancer treated with carbon ion radiotherapy. Methods: Histogram analysis was performed on pretreatment DW-MRI for patients re-irradiated with carbon ion radiotherapy for local recurrence of rectal cancer. Results: A total of 17 patients were enrolled in the study. Pretreatment DW-MRI b-value of 1000 s/mm2 (b1000) and apparent diffusion coefficient (ADC) lesion median values for 1-year nonresponders (six patients) and responders (11 patients) demonstrated a median (interquartile of median values) of 62.5 (23.9) and 34.0 (13.0) and 953.0 (277.0) and 942.5 (339.0) μm2/s, respectively. All b1000 histogram features (h-features) and ADC h-kurtosis showed statistically significant differences, whereas only b1000 h-median, b1000 h-interquartile range and ADC h-kurtosis demonstrated remarkable diagnostic accuracy. Conclusion: DW-MRI showed promising results in predicting carbon ion radiotherapy outcome in local recurrence of rectal cancer, particularly with regard to b1000 h-median, b1000 h-interquartile range and ADC h-kurtosis.

Published
2022
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9. Time‐resolved MRI for off‐line treatment robustness evaluation in carbon‐ion radiotherapy of pancreatic cancer

Author

Giorgia Meschini, Alessandro Vai, Amelia Barcellini, Giulia Fontana, Silvia Molinelli, Edoardo Mastella, Andrea Pella, Viviana Vitolo, Sara Imparato, Ester Orlandi, Mario Ciocca, Guido Baroni, and Chiara Paganelli

Subjects
Pancreatic Neoplasms, Movement, Radiotherapy Planning, Computer-Assisted, Respiration, Humans, Heavy Ion Radiotherapy, General Medicine, Four-Dimensional Computed Tomography, Magnetic Resonance Imaging, Carbon
Abstract

In this study, we investigate the use of magnetic resonance imaging (MRI) for the clinical evaluation of gating treatment robustness in carbon-ion radiotherapy (CIRT) of pancreatic cancer. Indeed, MRI allows radiation-free repeated scans and fast dynamic sequences for time-resolved (TR) imaging (cine-MRI), providing information on inter- and intra-fraction cycle-to-cycle variations of respiratory motion. MRI can therefore support treatment planning and verification, overcoming the limitations of the current clinical standard, that is, four-dimensional computed tomography (4DCT), which describes an "average" breathing cycle neglecting breathing motion variability.We integrated a technique to generate a virtual CT (vCT) from 3D MRI with a method for 3D reconstruction from 2D cine-MRI, to produce TR vCTs for dose recalculations. For eight patients, the method allowed evaluating inter-fraction variations at end-exhale and intra-fraction cycle-to-cycle variability within the gating window in terms of tumor displacement and dose to the target and organs at risk.The median inter-fraction tumor motion was in the range 3.33-12.16 mm, but the target coverage was robust (-0.4% median DThis study proposed a method for the generation of TR vCTs from MRI, which enabled an off-line evaluation of gating treatment robustness and suggested its feasibility to support treatment planning of pancreatic tumors in CIRT.

Published
2022
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11. List of contributors

Author

Yekbun Adiguzel, Laura Andreoli, Eleonora Antonelli, Lambros Athanassiou, Panagiotis Athanassiou, Tadej Avčin, Nina Babel, Nicole Bechmann, Carina Benzvi, Victoria Bitsadze, Dimitrios P. Bogdanos, Srinivsasa Reddy Bonam, Vânia Borba, M.O. Borghi, Stefan R. Bornstein, Nicola Luigi Bragazzi, Pedro Carrera-Bastos, Leonid P. Churilov, Francesca Crisafulli, María Pilar Cruz-Domínguez, M. Cugno, MariaGiovanna Danieli, Efthymios Dardiotis, Paula David, Tal Davidy, Silvia-Ebe-Lucia Della-Pina, Arad Dotan, Marie-Agnès Dragon-Durey, Georgios Efthymiou, Michael Ehrenfeld, Ismail Elalamy, Nina Emeršič, Kamaeva Evelina, Giulia Fontana, Franco Franceschini, Véronique Fremeaux-Bacchi, Marvin J. Fritzler, Maria F. Galaviz-Sánchez, K.K. Ganina, Natalia Gavrilova, Roberto Giacomelli, Jean-Christophe Gris, Caroline I. Gutierrez-Melgarejo, Ehud Horwitz, Eitan Israeli, Etienne Jacotot, Luis J. Jara, Darja Kanduc, Christoph Kessel, Jamilya Khizroeva, Andrei Kolobov, Ifigenia Kostoglou-Athanassiou, Sergey V. Lapin, G. Lasagni, Aaron Lerner, Danielle Zemer Lev, Soprun Lidiia, Berenice López-Zamora, Jose Manuel Lozano, Abihai Lucas Hernández, Alexander Makatsariya, Anna Malkova, Lukashenko Maria, Margarita A. Mayorova, Gabriela Medina, P.L. Meroni, Dror Mevorach, Sylviane Muller, Natalia N. Petrova, Vladimir N. Nikolenko, Alberto Ordinola Navarro, Irvin Ordoñez-González, Alberto Paladini, Margarita Y. Pervakova, Ofer Perzon, N.V. Petrova, Marko Radic, Eirini I. Rigopoulou, Jorge-Manuel Rodrigues-Fernandes, Avi Rosenberg, Piero Ruscitti, Varvara A. Ryabkova, Rafael Simone Saia, Sergey V. Sankov, Maria V. Sankova, Yehuda Shoenfeld, Mikhail Y. Sinelnikov, Polina Sobolevskaia, Ulrik Stervbo, Laura Talamini, S.A. Tarasov, Lorenz Thurner, Angela Tincani, Olga Y. Tkachenko, M. Tocut, Francesco Ursini, Olga Vera-Lastra, Angelica Thomaz Vieira, Aristo Vojdani, Elroy Vojdani, Abdulla Watad, G. Zandman-Goddard, Ofir Zmira, and Daniela Noa Zohar

Published
2023
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13. Augmented reality (AR) in minimally invasive surgery (MIS) training: where are we now in Italy? The Italian Society of Endoscopic Surgery (SICE) ARMIS survey

Author

Balla, Andrea, Sartori, Alberto, Botteri, Emanuele, Podda, Mauro, Ortenzi, Monica, Silecchia, Gianfranco, Guerrieri, Mario, Agresta, Ferdinando, Antonino, Agrusa, Daniele, Aguzzi, Mariantonietta, Alagia, Laura, Alberici, Marco Ettore Allaix, Luisa, Ambrosio, Alfonso, Amendola, Michele, Ammendola, Pietro Maria Amodio, Gabriele, Anania, Jacopo, Andreuccetti, Alfredo, Annichiarico, Pietro, Anoldo, Alessandro, Anselmo, Giovanni, Aprea, Giacomo, Arcuri, Alberto, Arezzo, Giulia, Armatura, Giulia, Bagaglini, Francesco, Bagolini, Beatrice, Bailetti, Gianluca, Baiocchi, Edoardo, Baldini, Elisa, Bannone, Mirko, Barone, Gianluca, Baronio, Raffaele, Basile, Bellucci, Marco, Andrea Benedetti Cacciaguerra, Ilaria, Benzoni, Francesco, Bianco, Giuseppe, Boccia, Cristina, Bombardini, Luigi, Boni, Dario, Bono, Luca Domenico Bonomo, Giulia, Bonventre, Andrea, Bottari, Claudio, Botti, Giacomo, Brentegani, Mattia, Buonomo, Umberto, Bracale, Cosimo, Callari, Luca, Calligaris, Pietro Giorgio Calò, Angelo, Cangiano, Lorenzo, Capezzuoli, Gabriella Teresa Capolupo, Marianna, Capuano, Filippo, Carannante, Eugenia, Cardamone, Teresa, Carfora, Chiara, Caricato, Pietro, Carnevali, Francesco Maria Carrano, Lorenzo, Casali, Gianmaria Casoni Pataccini, Gianluca, Cassese, Simone, Castiglioni, Flavia, Cavicchi, Ceccarelli, Graziano, Giovanni, Cestaro, Pasquale, Cianci, Claudio, Cimmino, Marco, Clementi, Coletta, Diego, Riccardo, Conventi, Corallino, Diletta, Maurizio, Costantini, Lorenzo, Crepaz, Diego, Cuccurullo, Curci, FABIO PIO, Giuseppe, Currò, Giorgio, Dalmonte, Giovanni, D'Alterio, Michele, D'Ambra, D'Ambrosio, Giancarlo, Anna, D'Amore, Michele De Capua, Simona, Deidda, Daniele, Delogu, Maurizio De Luca, Nicolò De Manzini, DE STEFANI, Elena, Giuseppe Di Buono, Marcello Di Martino, DI TOMASO, Anna, Ugo, Elmore, CORDOVA HERENCIA, INGRID ELVA, Giovanni, Emiliani, Sofia, Esposito, Fazio, Federico, Federico, Festa, Marcello, Filotico, Fiocca, Fausto, Irene, Fiume, Francesco, Fleres, Giulia, Fontana, Tommaso, Fontana, Edoardo, Forcignanò, Giampaolo, Formisano, Laura, Fortuna, Uberto Fumagalli Romario, Andrea, Galderisi, Raffaele, Galleano, Carlo, Gazia, Alessio, Giordano, Giorgio, Giraudo, Maria Carmela Giuffrida, Simona, Giura, Anna, Guida, Antonio Maria Iannello, Marco, Inama, Sara, Ingallinella, Iossa, Angelo, Livio, Iudici, Laracca, GIOVANNI GUGLIELMO, LARGHI LAUREIRO, Zoe, Saverio, Latteri, Luca, Leonardi, Pasquale, Lepiane, Edelweiss, Licitra, Paolo, Locurto, Sarah Lo Faso, Nicola, Luciani, Luzza, Luigi, Magaletti, Sara, Michele, Manigrasso, Alessandra, Marano, Francesco, Marchetti, Alessandra, Marello, Nicolò, Mariani, Jacopo Nicolò Marin, Gennaro, Martines, Laura, Mastrangelo, Antonio, Matarangolo, Marco, Materazzo, Mazzarella, Gennaro, Giorgio, Mazzarolo, Maria Paola Menna, Meoli, Francesca, Marco, Milone, Elisabetta, Moggia, Davide, Moioli, Sarah, Molfino, Vitantonio, Mongelli, Roberto, Montalti, Giulia, Montori, Luca, Morelli, Gianluigi, Moretto, Muttillo, EDOARDO MARIA, Irnerio, Muttillo, Francesca, Notte, Alessandro, M Paganini, Gianluca, Pagano, Palmieri, Livia, Giuseppe, Palomba, Valentina, Palumbo, Panetta, Cristina, Giulia, Paradiso, Beniamino, Pascotto, Passannanti, Daniele, Renato, Patrone, Francesca, Pecchini, Francesca, Pego, Fabio, Pelle, Perrotta, Nicola, Wanda, Petz, Biagio, Picardi, Picchetto, Andrea, Chiara, Piceni, Pietricola, Giulia, Enrico, Pinotti, Felice, Pirozzi, Paolo, Pizzini, Poillucci, Gaetano, Ilaria, Puccica, Lorenzo, Ramaci, Rapanotti, Eleonora, Daniela, Rega, Angelica, Reggiani, Giorgio, Romano, Gregorio, Romeo, Luigi, Romeo, Gianluca, Rompianesi, Stefano, Rossi, Edoardo, Saladino, Roberto, Santambrogio, Federica, Saraceno, Giuliano, Sarro, Diego, Sasia, Grazia, Savino, Rosa, Scaramuzzo, Antonio, Sciuto, Michela, Scollica, Giovanni, Scudo, Ardit, Seitaj, Carlo, Serra, Francesco, Serra, Pierpaolo, Sileri, Leandro, Siragusa, Carmen, Sorrentino, Giuseppe, Surfaro, Ernesto, Tartaglia, Beatrice, Torre, Andrea, Tufo, Matteo, Uccelli, Alessandro, Ussia, Vaccari, Samuele, Marina, Valente, Sara, Vertaldi, Alessandro, Vitali, Luca, Zaccherini, Luigi, Zorcolo, Noemi, Zorzetti, Balla, A., Sartori, A., Botteri, E., Podda, M., Ortenzi, M., Silecchia, G., Guerrieri, M., Agresta, F., Agrusa, A., Aguzzi, D., Alagia, M., Alberici, L., Allaix, M. E., Ambrosio, L., Amendola, A., Ammendola, M., Amodio, P. M., Anania, G., Andreuccetti, J., Annichiarico, A., Anoldo, P., Anselmo, A., Aprea, G., Arcuri, G., Arezzo, A., Armatura, G., Bagaglini, G., Bagolini, F., Bailetti, B., Baiocchi, G., Baldini, E., Bannone, E., Barone, M., Baronio, G., Basile, R., Bellucci, M., Cacciaguerra, A. B., Benzoni, I., Bianco, F., Boccia, G., Bombardini, C., Boni, L., Bono, D., Bonomo, L. D., Bonventre, G., Bottari, A., Botti, C., Brentegani, G., Buonomo, M., Bracale, U., Callari, C., Calligaris, L., Calo, P. G., Cangiano, A., Capezzuoli, L., Capolupo, G. T., Capuano, M., Carannante, F., Cardamone, E., Carfora, T., Caricato, C., Carnevali, P., Carrano, F. M., Casali, L., Pataccini, G. C., Cassese, G., Castiglioni, S., Cavicchi, F., Ceccarelli, G., Cestaro, G., Cianci, P., Cimmino, C., Clementi, M., Coletta, D., Conventi, R., Corallino, D., Costantini, M., Crepaz, L., Cuccurullo, D., Curci, F. P., Curro, G., Dalmonte, G., D'Alterio, G., D'Ambra, M., D'Ambrosio, G., D'Amore, A., De Capua, M., Deidda, S., Delogu, D., De Luca, M., De Manzini, N., De Stefani, E., Di Buono, G., Di Martino, M., Di Tomaso, A., Elmore, U., Herencia, I. E. C., Emiliani, G., Esposito, S., Fazio, F., Festa, F., Filotico, M., Fiocca, F., Fiume, I., Fleres, F., Fontana, G., Fontana, T., Forcignano, E., Formisano, G., Fortuna, L., Romario, U. F., Galderisi, A., Galleano, R., Gazia, C., Giordano, A., Giraudo, G., Giuffrida, M. C., Giura, S., Guida, A., Iannello, A. M., Inama, M., Ingallinella, S., Iossa, A., Iudici, L., Laracca, G. G., Laureiro, Z. L., Latteri, S., Leonardi, L., Lepiane, P., Licitra, E., Locurto, P., Faso, S. L., Luciani, N., Luzza, L., Magaletti, S., Manigrasso, M., Marano, A., Marchetti, F., Marello, A., Mariani, N., Marin, J. N., Martines, G., Mastrangelo, L., Matarangolo, A., Materazzo, M., Mazzarella, G., Mazzarolo, G., Menna, M. P., Meoli, F., Milone, M., Moggia, E., Moioli, D., Molfino, S., Mongelli, V., Montalti, R., Montori, G., Morelli, L., Moretto, G., Muttillo, E. M., Muttillo, I., Notte, F., Paganini, A. M., Pagano, G., Palmieri, L., Palomba, G., Palumbo, V., Panetta, C., Paradiso, G., Pascotto, B., Passannanti, D., Patrone, R., Pecchini, F., Pego, F., Pelle, F., Perrotta, N., Petz, W., Picardi, B., Picchetto, A., Piceni, C., Pietricola, G., Pinotti, E., Pirozzi, F., Pizzini, P., Poillucci, G., Puccica, I., Ramaci, L., Rapanotti, E., Rega, D., Reggiani, A., Romano, G., Romeo, G., Romeo, L., Rompianesi, G., Rossi, S., Saladino, E., Santambrogio, R., Saraceno, F., Sarro, G., Sasia, D., Savino, G., Scaramuzzo, R., Sciuto, A., Scollica, M., Scudo, G., Seitaj, A., Serra, C., Serra, F., Sileri, P., Siragusa, L., Sorrentino, C., Surfaro, G., Tartaglia, E., Torre, B., Tufo, A., Uccelli, M., Ussia, A., Vaccari, S., Valente, M., Vertaldi, S., Vitali, A., Zaccherini, L., Zorcolo, L., Zorzetti, N., Balla, Andrea, Sartori, Alberto, Botteri, Emanuele, Podda, Mauro, Ortenzi, Monica, Silecchia, Gianfranco, Guerrieri, Mario, Agresta, Ferdinando, de Manzini, Nicolo, and ARMIS (Augmented Reality in Minimally Invasive Surgery) Collaborative, Group

Subjects
Virtual reality (VR), minimally invasive surgery (MIS), Augmented reality (AR), Minimally invasive surgery (MIS), Mixed reality (MR), Survey, Training, training, augmented reality (AR), mixed reality (MR), survey, virtual reality (VR), Settore MED/18 - Chirurgia Generale, Surgery
Abstract

Minimally invasive surgery (MIS) is a widespread approach in general surgery. Computer guiding software, such as the augmented reality (AR), the virtual reality (VR) and mixed reality (MR), has been proposed to help surgeons during MIS. This study aims to report these technologies' current knowledge and diffusion during surgical training in Italy. A web-based survey was developed under the aegis of the Italian Society of Endoscopic Surgery (SICE). Two hundred and seventeen medical doctors' answers were analyzed. Participants were surgeons (138, 63.6%) and residents in surgery (79, 36.4%). The mean knowledge of the role of the VR, AR and MR in surgery was 4.9 ± 2.4 (range 1-10). Most of the participants (122, 56.2%) did not have experience with any proposed technologies. However, although the lack of experience in this field, the answers about the functioning of the technologies were correct in most cases. Most of the participants answered that VR, AR and MR should be used more frequently for the teaching and training and during the clinical activity (170, 80.3%) and that such technologies would make a significant contribution, especially in training (183, 84.3%) and didactic (156, 71.9%). Finally, the main limitations to the diffusion of these technologies were the insufficient knowledge (182, 83.9%) and costs (175, 80.6%). Based on the present study, in Italy, the knowledge and dissemination of these technologies are still limited. Further studies are required to establish the usefulness of AR, VR and MR in surgical training.

Published
2023

14. Microstructural parameters from DW-MRI for tumour characterization and local recurrence prediction in particle therapy of skull-base chordoma

Author

Letizia Morelli, Marco Palombo, Giulia Buizza, Giulia Riva, Andrea Pella, Giulia Fontana, Sara Imparato, Alberto Iannalfi, Ester Orlandi, Chiara Paganelli, and Guido Baroni

Subjects
General Medicine
Abstract

Quantitative imaging such as Diffusion-Weighted MRI (DW-MRI) can be exploited to non-invasively derive patient-specific tumour microstructure information for tumour characterization and local recurrence risk prediction in radiotherapy.To characterize tumour microstructure according to proliferative capacity and predict local recurrence through microstructural markers derived from pre-treatment conventional DW-MRI, in skull-base chordoma (SBC) patients treated with proton (PT) and carbon ion (CIRT) radiotherapy.Forty-eight patients affected by SBC, who underwent conventional DW-MRI before treatment and were enrolled for CIRT (n = 25) or PT (n = 23), were retrospectively selected. Clinically verified local recurrence information (LR) and histological information (Ki-67, proliferation index) were collected. Apparent diffusion coefficient (ADC) maps were calculated from pre-treatment DW-MRI and, from these, a set of microstructural parameters (cellular radius R, volume fraction vf, diffusion D) were derived by applying a fine-tuning procedure to a framework employing Monte Carlo simulations on synthetic cell substrates. In addition, apparent cellularity (ρRefined microstructural markers revealed optimal capabilities in discriminating patients according to cell proliferation, achieving best results with mean values (p-values were 0.0383, 0.0284, 0.0284, 0.0468 and 0.0088 for ADC, R, vf, D, and ρPatient-specific microstructural information was non-invasively derived providing potentially useful tools for SBC treatment personalization and optimization in particle therapy. This article is protected by copyright. All rights reserved.

Published
2022

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