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2. ML Models Built Using Clinical Parameters and Radiomic Features Extracted from 18 F-Choline PET/CT for the Prediction of Biochemical Recurrence after Metastasis-Directed Therapy in Patients with Oligometastatic Prostate Cancer.

Author

Urso, Luca, Cittanti, Corrado, Manco, Luigi, Ortolan, Naima, Borgia, Francesca, Malorgio, Antonio, Scribano, Giovanni, Mastella, Edoardo, Guidoboni, Massimo, Stefanelli, Antonio, Turra, Alessandro, and Bartolomei, Mirco

Subjects
MACHINE learning, PROSTATE cancer patients, CANCER relapse, POSITRON emission tomography
Abstract

Oligometastatic patients at [18F]F-Fluorocholine (18F-choline) PET/CT may be treated with metastasis-directed therapy (MDT). The aim of this study was to combine radiomic parameters extracted from 18F-choline PET/CT and clinical data to build machine learning (ML) models able to predict MDT efficacy. Methods: Oligorecurrent patients (≤5 lesions) at 18F-choline PET/CT and treated with MDT were collected. A per-patient and per-lesion analysis was performed, using 2-year biochemical recurrence (BCR) after MDT as the standard of reference. Clinical parameters and radiomic features (RFts) extracted from 18F-choline PET/CT were used for training five ML Models for both CT and PET images. The performance metrics were calculated (i.e., Area Under the Curve—AUC; Classification Accuracy—CA). Results: A total of 46 metastases were selected and segmented in 29 patients. BCR after MDT occurred in 20 (69%) patients after 2 years of follow-up. In total, 73 and 33 robust RFTs were selected from CT and PET datasets, respectively. PET ML Models showed better performances than CT Models for discriminating BCR after MDT, with Stochastic Gradient Descent (SGD) being the best model (AUC = 0.95; CA = 0.90). Conclusion: ML Models built using clinical parameters and CT and PET RFts extracted via 18F-choline PET/CT can accurately predict BCR after MDT in oligorecurrent PCa patients. If validated externally, ML Models could improve the selection of oligorecurrent PCa patients for treatment with MDT. [ABSTRACT FROM AUTHOR]

Published
2024
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4. In Silico Feasibility Study of Carbon Ion Radiotherapy With Simultaneous Integrated Boost for Head and Neck Adenoid Cystic Carcinoma

Author

Mastella, Edoardo, primary, Molinelli, Silvia, additional, Magro, Giuseppe, additional, Russo, Stefania, additional, Bonora, Maria, additional, Ronchi, Sara, additional, Ingargiola, Rossana, additional, Jensen, Alexandra D., additional, Ciocca, Mario, additional, Vischioni, Barbara, additional, and Orlandi, Ester, additional

Published
2021
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5. Corrigendum to: Proton and carbon ion radiotherapy in skull base chordomas: a prospective study based on a dual particle and a patient-customized treatment strategy

Author

Iannalfi, Alberto, primary, D’Ippolito, Emma, additional, Riva, Giulia, additional, Molinelli, Silvia, additional, Gandini, Sara, additional, Viselner, Gisela, additional, Fiore, Maria Rosaria, additional, Vischioni, Barbara, additional, Vitolo, Viviana, additional, Bonora, Maria, additional, Ronchi, Sara, additional, Petrucci, Rachele, additional, Barcellini, Amelia, additional, Mirandola, Alfredo, additional, Russo, Stefania, additional, Vai, Alessandro, additional, Mastella, Edoardo, additional, Magro, Giuseppe, additional, Maestri, Davide, additional, Ciocca, Mario, additional, Preda, Lorenzo, additional, Valvo, Francesca, additional, and Orecchia, Roberto, additional

Published
2021
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6. Dosimetric Impact of Inter-Fraction Anatomical Changes in Carbon Ion Boost Treatment for High-Risk Prostate Cancer (AIRC IG 14300)

Author

Russo, Stefania, primary, Ricotti, Rosalinda, additional, Molinelli, Silvia, additional, Patti, Filippo, additional, Barcellini, Amelia, additional, Mastella, Edoardo, additional, Pella, Andrea, additional, Paganelli, Chiara, additional, Marvaso, Giulia, additional, Pepa, Matteo, additional, Comi, Stefania, additional, Zaffaroni, Mattia, additional, Avuzzi, Barbara, additional, Giandini, Tommaso, additional, Pignoli, Emanuele, additional, Valdagni, Riccardo, additional, Baroni, Guido, additional, Cattani, Federica, additional, Ciocca, Mario, additional, Jereczek-Fossa, Barbara Alicja, additional, Orlandi, Ester, additional, Orecchia, Roberto, additional, and Vischioni, Barbara, additional

Published
2021
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7. Proton and carbon ion radiotherapy in skull base chordomas: a prospective study based on a dual particle and a patient-customized treatment strategy

Author

Iannalfi, Alberto, primary, D’Ippolito, Emma, additional, Riva, Giulia, additional, Molinelli, Silvia, additional, Gandini, Sara, additional, Viselner, Gisela, additional, Fiore, Maria Rosaria, additional, Vischioni, Barbara, additional, Vitolo, Viviana, additional, Bonora, Maria, additional, Ronchi, Sara, additional, Petrucci, Rachele, additional, Barcellini, Amelia, additional, Mirandola, Alfredo, additional, Russo, Stefania, additional, Vai, Alessandro, additional, Mastella, Edoardo, additional, Magro, Giuseppe, additional, Maestri, Davide, additional, Ciocca, Mario, additional, Preda, Lorenzo, additional, Valvo, Francesca, additional, and Orecchia, Roberto, additional

Published
2020
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8. Stereotactic body radiation therapy (SBRT) for prostate cancer: Improving treatment delivery efficiency and accuracy

Author

Mastella, Edoardo, Epile, Joel E., De Guglielmo, Eleonora, Fabbri, Sara, Calderoni, Francesca, Manco, Luigi, Szilagyi, Klarisa E., Malorgio, Antonio, Turra, Alessandro, and Stefanelli, Antonio

Abstract

•Double- and single-arc VMAT plans were compared for linac-based prostate SBRT.•Plans with high quality and low complexity were obtained with both arrangements.•2 % 2 mm mean gamma passing rates were above 96.5 %•A significant reduction of delivery time (>56 %) was achieved with single arcs 10 MV FFF.•The very fast delivery (∼1.3 min/8 Gy) improves robustness against intrafraction motion.

Published
2024
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9. Corrigendum to: Proton and carbon ion radiotherapy in skull base chordomas: a prospective study based on a dual particle and a patient-customized treatment strategy.

Author

Iannalfi, Alberto, D'Ippolito, Emma, Riva, Giulia, Molinelli, Silvia, Gandini, Sara, Viselner, Gisela, Fiore, Maria Rosaria, Vischioni, Barbara, Vitolo, Viviana, Bonora, Maria, Ronchi, Sara, Petrucci, Rachele, Barcellini, Amelia, Mirandola, Alfredo, Russo, Stefania, Vai, Alessandro, Mastella, Edoardo, Magro, Giuseppe, Maestri, Davide, and Ciocca, Mario

Published
2022
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