Measurement of proton-induced target fragmentation cross sections in carbon

Matsushita, K.; Nishio, Teiji; Tanaka, Shigeo; Tsuneda, Masato; Sugiura, Akinori; Ieki, K.

doi:10.1016/j.nuclphysa.2015.11.007

Cited by 21 publications

(26 citation statements)

References 26 publications

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“…The case for which more data are available is that of 11 C production in p-12 C collisions. Figure 3, taken from the work of Matsushita et al [133], illustrates a situation which points out that considerable systematic differences exist between different data sets. Clearly, the uncertainty of the predictions of MC models can be, at best, of the same order as the experimental uncertainty.…”

Section: Measurements That Were Performed In the Context Of Range Monmentioning

confidence: 97%

“…Less data are available in case of 10 C production. Recently, new cross section data for 10 C, 11 C, and O 15 , very useful for future benchmark studies, were published by different groups [133,136], where the work of Horst et al [136] concerns also data relative to C-C and C-O collisions. Since recently, the use of PET monitoring technique is under consideration also in the case of ion therapy [137].…”

Section: Measurements That Were Performed In the Context Of Range Monmentioning

confidence: 99%

“…Cross section measurements for 11 C from different groups in the past 70 years, with new recent measurements included. Reproduced with permission from Matsushita et al[133] Discrepancies between various measurements are visible.…”

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confidence: 99%

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Challenges in Monte Carlo Simulations as Clinical and Research Tool in Particle Therapy: A Review

2020

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The use and interest in Monte Carlo (MC) techniques in the field of medical physics have been rapidly increasing in the past years. This is the case especially in particle therapy, where accurate simulations of different physics processes in complex patient geometries are crucial for a successful patient treatment and for many related research and development activities. Thanks to the detailed implementation of physics processes in any type of material, to the capability of tracking particles in 3D, and to the possibility of including the most important radiobiological effects, MC simulations have become an essential calculation tool not only for dose calculations but also for many other purposes, like the design and commissioning of novel clinical facilities, shielding and radiation protection, the commissioning of treatment planning systems, and prediction and interpretation of data for range monitoring strategies. MC simulations are starting to be more frequently used in clinical practice, especially in the form of specialized codes oriented to dose calculations that can be performed in short time. The use of general purpose MC codes is instead more devoted to research. Despite the increased use of MC simulations for patient treatments, the existing literature suggests that there are still a number of challenges to be faced in order to increase the accuracy of MC calculations for patient treatments. The goal of this review is to discuss some of these remaining challenges. Undoubtedly, it is a work for which a multidisciplinary approach is required. Here, we try to identify some of the aspects where the community involved in applied nuclear physics, radiation biophysics, and computing development can contribute to find solutions. We have selected four specific challenges: i) the development of models in MC to describe nuclear physics interactions, ii) modeling of radiobiological processes in MC simulations, iii) developments of MC-based treatment planning tools, and iv) developments of fast MC codes. For each of them, we describe the underlying problems, present selected examples of proposed solutions, and try to give recommendations for future research.

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Section: Measurements That Were Performed In the Context Of Range Monmentioning

confidence: 97%

Section: Measurements That Were Performed In the Context Of Range Monmentioning

confidence: 99%

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Challenges in Monte Carlo Simulations as Clinical and Research Tool in Particle Therapy: A Review

2020

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“…Therefore, cross sectional data of the nuclear reactions that produce positron emitters are important, particularly for the components of the human body, for e.g., oxygen, carbon, and calcium. However, the current database of such nuclear reactions is insufficient below 250 MeV, which are important for proton therapy 6 – 8 , 10 , 11 , 14 , 23 , 24 . The lower energy region (under ∼70 MeV) is especially important because decelerated protons damage tumors most effectively 14 , 23 , 24 .…”

Section: Introductionmentioning

confidence: 99%

Measurement of nuclear reaction cross sections by using Cherenkov radiation toward high-precision proton therapy

Masuda

Kataoka

Arimoto

et al. 2018

Sci Rep

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Monitoring the in vivo dose distribution in proton therapy is desirable for the accurate irradiation of a tumor. Although positron emission tomography (PET) is widely used for confirmation, the obtained distribution of positron emitters produced by the protons does not trace the dose distribution due to the different physical processes. To estimate the accurate dose from the PET image, the cross sections of nuclear reactions that produce positron emitters are important yet far from being sufficient. In this study, we measured the cross sections of 16O(p,x)15O, 16O(p,x)13N, and 16O(p,x)11C with a wide-energy range (approximately 5–70 MeV) by observing the temporal evolution of the Cherenkov radiation emitted from positrons generated via β+ decay along the proton path. Furthermore, we implemented the new cross sectional data into a conventional Monte Carlo (MC) simulation, so that a direct comparison was possible with the PET measurement. We confirmed that our MC results showed good agreement with the experimental data, both in terms of the spatial distributions and temporal evolutions. Although this is the first attempt at using the Cherenkov radiation in the measurements of nuclear cross sections, the obtained results suggest the method is convenient and widely applicable for high precision proton therapy.

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“…Treatment verification is commonly done by comparing measured and precalculated MC distributions in space. However, the decay curve of the activated material can provide additional information about the treatment and about the patient, because its shape depends on the decaying isotopes and thus on the irradiated tissue [9][10][11][12][13][14][15][16]. Mapping of 15 O can for instance be highly useful to investigate biological washout models and perfusion in patients [9].…”

Section: Introductionmentioning

confidence: 99%

Analysis of time-profiles with in-beam PET monitoring in charged particle therapy

Kraan,

Muraro,

Battistoni

et al. 2018

Preprint

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Background: Treatment verification with PET imaging in charged particle therapy is conventionally done by comparing measurements of spatial distributions with Monte Carlo (MC) predictions. However, decay curves can provide additional independent information about the treatment and the irradiated tissue. Most studies performed so far focus on long time intervals. Here we investigate the reliability of MC predictions of space and time (decay rate) profiles shortly after irradiation, and we show how the decay rates can give an indication about the elements of which the phantom is made up.Methods and Materials: Various phantoms were irradiated in clinical and nearclinical conditions at the Cyclotron Centre of the Bronowice proton therapy centre. PET data were acquired with a planar 16x16 cm 2 PET system. MC simulations of particle interactions and photon propagation in the phantoms were performed using the FLUKA code. The analysis included a comparison between experimental data and MC simulations of space and time profiles, as well as a fitting procedure to obtain the various isotope contributions in the phantoms.Results and conclusions: There was a good agreement between data and MC predictions in 1-dimensional space and decay rate distributions. The fractions of 11 C, 15 O and 10 C that were obtained by fitting the decay rates with multiple simple exponentials generally agreed well with the MC expectations. We found a small excess of 10 C in data compared to what was predicted in MC, which was clear especially in the PE phantom.

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Measurement of proton-induced target fragmentation cross sections in carbon

Cited by 21 publications

References 26 publications

Challenges in Monte Carlo Simulations as Clinical and Research Tool in Particle Therapy: A Review

Challenges in Monte Carlo Simulations as Clinical and Research Tool in Particle Therapy: A Review

Measurement of nuclear reaction cross sections by using Cherenkov radiation toward high-precision proton therapy

Analysis of time-profiles with in-beam PET monitoring in charged particle therapy

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