Technical Note: Field size analysis of patient‐specific quality assurance in scanned carbon ion radiotherapy

2021 ◽  
Author(s):  
Yu Deng ◽  
Qianxia Wang ◽  
Zhijie Huang
2012 ◽  
Vol 39 (7Part1) ◽  
pp. 4073-4078 ◽  
Author(s):  
P. Catuzzo ◽  
F. Zenone ◽  
S. Aimonetto ◽  
A. Peruzzo ◽  
V. Casanova Borca ◽  
...  

2017 ◽  
Vol 44 (10) ◽  
pp. 5509-5516 ◽  
Author(s):  
Yujiao Qin ◽  
Stephen J. Gardner ◽  
Joshua Kim ◽  
Yimei Huang ◽  
Ning Wen ◽  
...  

2021 ◽  
Author(s):  
Renato Félix‐Bautista ◽  
Laura Ghesquière‐Diérickx ◽  
Lukáš Marek ◽  
Carlos Granja ◽  
Pavel Soukup ◽  
...  

2021 ◽  
Vol 9 ◽  
Author(s):  
L. Grevillot ◽  
D. J. Boersma ◽  
H. Fuchs ◽  
M. Bolsa-Ferruz ◽  
L. Scheuchenpflug ◽  
...  

Patient specific quality assurance can be improved using an independent dose calculation system. In addition, the implementation of such a system may support light ion beam therapy facilities in reducing the needs for beam time, by substituting some of the experimental patient-specific quality assurance procedures by independent dose calculation. The GATE-RTion-based IDEAL system for light ion beam therapy was developed for this purpose. It was built in a DICOM-in, DICOM-out fashion, for easy integration into a state-of-the-art technology-based workflow for scanned ion beam therapy. This article describes the IDEAL system, followed by its clinical implementation at MedAustron for proton and carbon ion beams. Medical physics acceptance and commissioning steps are presented together with key results: for 3D proton and carbon ion reference boxes, 97% of the points agreed within 5% from the measurements. Experimental validation of stopping powers using real pig samples were between 1.8% and 3.8% for soft tissues. Finally, five clinical cases are described, i.e. two proton and three carbon ion treatments. Dosimetric benchmarking against TPS calculations are presented and discussed in details. As expected, the IDEAL software evidenced limitations arising from the pencil beam algorithm available in the TPS for carbon ions, especially in the presence of air cavities. The IDEAL system was found to satisfy the clinical requirements for independent dose calculation of scanned ion beam delivery systems and is being clinically implemented at MedAustron. The open-source code as well as the documentation was released on the OpenGATE collaboration website, thus allowing for long term maintenance and future upgrades based on a more widespread utilization.


2010 ◽  
Vol 61 (2) ◽  
pp. 67-67
Author(s):  
S. Yasuda ◽  
S. Yamada ◽  
H. Imada ◽  
M. Shinoto ◽  
J. Mizoe ◽  
...  

2020 ◽  
Vol 40 (11) ◽  
pp. 6429-6435
Author(s):  
SHINNOSUKE MATSUMOTO ◽  
SUNG HYUN LEE ◽  
REIKO IMAI ◽  
TAKU INANIWA ◽  
NARUHIRO MATSUFUJI ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 339
Author(s):  
Giulia Buizza ◽  
Chiara Paganelli ◽  
Emma D’Ippolito ◽  
Giulia Fontana ◽  
Silvia Molinelli ◽  
...  

Skull-base chordoma (SBC) can be treated with carbon ion radiotherapy (CIRT) to improve local control (LC). The study aimed to explore the role of multi-parametric radiomic, dosiomic and clinical features as prognostic factors for LC in SBC patients undergoing CIRT. Before CIRT, 57 patients underwent MR and CT imaging, from which tumour contours and dose maps were obtained. MRI and CT-based radiomic, and dosiomic features were selected and fed to two survival models, singularly or by combining them with clinical factors. Adverse LC was given by in-field recurrence or tumour progression. The dataset was split in development and test sets and the models’ performance evaluated using the concordance index (C-index). Patients were then assigned a low- or high-risk score. Survival curves were estimated, and risk groups compared through log-rank tests (after Bonferroni correction α = 0.0083). The best performing models were built on features describing tumour shape and dosiomic heterogeneity (median/interquartile range validation C-index: 0.80/024 and 0.79/0.26), followed by combined (0.73/0.30 and 0.75/0.27) and CT-based models (0.77/0.24 and 0.64/0.28). Dosiomic and combined models could consistently stratify patients in two significantly different groups. Dosiomic and multi-parametric radiomic features showed to be promising prognostic factors for LC in SBC treated with CIRT.


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