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Добірка наукової літератури з теми "Proton therapy, PET, FLUKA, treatment monitoring"

Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Proton therapy, PET, FLUKA, treatment monitoring"

1

Moglioni, M., A. C. Kraan, A. Berti, P. Carra, P. Cerello, M. Ciocca, V. Ferrero, et al. "Analysis methods for in-beam PET images in proton therapy treatment verification: a comparison based on Monte Carlo simulations." Journal of Instrumentation 18, no. 01 (January 1, 2023): C01001. http://dx.doi.org/10.1088/1748-0221/18/01/c01001.

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Анотація:
Abstract Background and purpose: in-beam Positron Emission Tomography (PET) is one of the modalities that can be used for in-vivo non-invasive treatment monitoring in proton therapy. PET distributions obtained during various treatment sessions can be compared in order to identify regions that have anatomical changes. The purpose of this work is to test and compare different analysis methods in the context of inter-fractional PET image comparison for proton treatment verification. Methods: for our study we used the FLUKA Monte Carlo code and artificially generated CT scans to simulate in-beam PET distributions at different stages during proton therapy treatment. We compared the Beam-Eye-View method, the Most-Likely-Shift method, the Voxel-Based-Morphology method and the gamma evaluation method to compare PET images at the start of treatment, and after a few weeks of treatment. The results were compared to the CT scan. Results and conclusions: three-dimensional methods like VBM and gamma are preferred above two-dimensional methods like MLS and BEV if much statistics is available, since the these methods allow to identify the regions with anomalous activity. The VBM approach has as disadvantage that a larger number of MC simulations is needed. The gamma analysis has the disadvantage that no clinical indication exist on tolerance criteria. In terms of calculation time, the BEV and MLS method are preferred. We recommend to use the four methods together, in order to best identify the location and cause of the activity changes.
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2

Brombal, L., D. Barbosa, N. Belcari, M. G. Bisogni, N. Camarlinghi, L. Cristoforetti, A. Del Guerra, et al. "Proton therapy treatment monitoring with in-beam PET: Investigating space and time activity distributions." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 861 (July 2017): 71–76. http://dx.doi.org/10.1016/j.nima.2017.05.002.

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3

Kraan, A. C., G. Battistoni, N. Belcari, N. Camarlinghi, F. Cappucci, M. Ciocca, A. Ferrari, et al. "First tests for an online treatment monitoring system with in-beam PET for proton therapy." Journal of Instrumentation 10, no. 01 (January 12, 2015): C01010. http://dx.doi.org/10.1088/1748-0221/10/01/c01010.

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4

Müller, Cristina, Maria De Prado Leal, Marco D. Dominietto, Christoph A. Umbricht, Sairos Safai, Rosalind L. Perrin, Martina Egloff, et al. "Combination of Proton Therapy and Radionuclide Therapy in Mice: Preclinical Pilot Study at the Paul Scherrer Institute." Pharmaceutics 11, no. 9 (September 2, 2019): 450. http://dx.doi.org/10.3390/pharmaceutics11090450.

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Анотація:
Proton therapy (PT) is a treatment with high dose conformality that delivers a highly-focused radiation dose to solid tumors. Targeted radionuclide therapy (TRT), on the other hand, is a systemic radiation therapy, which makes use of intravenously-applied radioconjugates. In this project, it was aimed to perform an initial dose-searching study for the combination of these treatment modalities in a preclinical setting. Therapy studies were performed with xenograft mouse models of folate receptor (FR)-positive KB and prostate-specific membrane antigen (PSMA)-positive PC-3 PIP tumors, respectively. PT and TRT using 177Lu-folate and 177Lu-PSMA-617, respectively, were applied either as single treatments or in combination. Monitoring of the mice over nine weeks revealed a similar tumor growth delay after PT and TRT, respectively, when equal tumor doses were delivered either by protons or by β¯-particles, respectively. Combining the methodologies to provide half-dose by either therapy approach resulted in equal (PC-3 PIP tumor model) or even slightly better therapy outcomes (KB tumor model). In separate experiments, preclinical positron emission tomography (PET) was performed to investigate tissue activation after proton irradiation of the tumor. The high-precision radiation delivery of PT was confirmed by the resulting PET images that accurately visualized the irradiated tumor tissue. In this study, the combination of PT and TRT resulted in an additive effect or a trend of synergistic effects, depending on the type of tumor xenograft. This study laid the foundation for future research regarding therapy options in the situation of metastasized solid tumors, where surgery or PT alone are not a solution but may profit from combination with systemic radiation therapy.
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5

Rosso, V., G. Battistoni, N. Belcari, N. Camarlinghi, M. Ciocca, F. Collini, S. Ferretti, et al. "In-treatment tests for the monitoring of proton and carbon-ion therapy with a large area PET system at CNAO." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 824 (July 2016): 228–32. http://dx.doi.org/10.1016/j.nima.2015.11.017.

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6

McDonough, James, and Brent Tinnel. "The University of Pennsylvania/Walter Reed Army Medical Center Proton Therapy Program." Technology in Cancer Research & Treatment 6, no. 4_suppl (August 2007): 73–76. http://dx.doi.org/10.1177/15330346070060s412.

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Анотація:
The design of the proton therapy center being constructed at the University of Pennsylvania is based on several principles that distinguish it from other proton facilities. Among these principles is the recognition that advances in imaging, and particularly in functional imaging, will have a large impact on radiotherapy in the near future and that the conformation of proton dose distributions can utilize that information to a larger degree than other treatment techniques. The facility will contain four-dimensional CT-simulators, an MR-simulator capable of spectroscopy, and a PET-CT scanner. A second principle applied to the facility design is to incorporate into proton radiotherapy the recent progress in conventional radiotherapy; including imaging and monitoring of patients during treatment, imaging of soft tissue, accounting for respiratory motion, and expanding the use of intensity-modulated treatments. A third principle is to understand that the facility must be operated efficiently. To that end the specifications for the equipment have included requirements for high beam intensity, fast switching times between treatment rooms, a multileaf collimator to permit multiple fields to be treated quickly, and plans for an intelligent beam scheduler to determine where the beam can be best used at any given time. We expect to use “universal” nozzles, which can switch rapidly from scattering mode to scanning mode, and there will be a set-up room used for the first day of treatment to verify alignment rather than spend valuable time in a gantry room. Many of these ideas require development, including the applications of existing radiotherapy techniques to proton gantries, so a series of research and development projects have started to address these issues. Walter Reed Army Medical Center, which will provide a portal through which military personnel and their dependants can receive proton radiotherapy, is involved in several of these development projects as well as the creation of process to remotely perform treatment planning for the military patients under treatment at the proton facility.
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7

Borys, Damian, Jakub Baran, Karol W. Brzezinski, Jan Gajewski, Neha Chug, Aurelien Coussat, Eryk Czerwiński, et al. "ProTheRaMon - a GATE simulation framework for proton therapy range monitoring using PET imaging." Physics in Medicine & Biology, September 22, 2022. http://dx.doi.org/10.1088/1361-6560/ac944c.

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Анотація:
Abstract Objective: This paper reports on the implementation and shows examples of the use of the ProTheRaMon framework for simulating the delivery of proton therapy treatment plans and range monitoring using positron emission tomography (PET). ProTheRaMon offers complete processing of proton therapy treatment plans, patient CT geometries, and intra-treatment PET imaging, taking into account therapy and imaging coordinate systems and activity decay during the PET imaging protocol specific to a given proton therapy facility. We present the ProTheRaMon framework and illustrate its potential use case and data processing steps for a patient treated at the Cyclotron Centre Bronowice (CCB) proton therapy center in Krakow, Poland. Approach: The ProTheRaMon framework is based on GATE Monte Carlo software, the CASToR reconstruction package and in-house developed Python and bash scripts. The framework consists of five separated simulation and data processing steps, that can be further optimized according to the user’s needs and specific settings of a given proton therapy facility and PET scanner design. Main results: ProTheRaMon is presented using example data from a patient treated at CCB and the J-PET scanner to demonstrate the application of the framework for proton therapy range monitoring. The output of each simulation and data processing stage is described and visualized. Significance: We demonstrate that the ProTheRaMon simulation platform is a high-performance tool, capable of running on a computational cluster and suitable for multi-parameter studies, with databases consisting of large number of patients, as well as different PET scanner geometries and settings for range monitoring in a clinical environment. Due to its modular structure, the ProTheRaMon framework can be adjusted for different proton therapy centers and/or different PET detector geometries. It is available to the community via github.
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8

Besuglow, Judith, Thomas Tessonnier, Benedikt Kopp, Stewart Mein, and Andrea Mairani. "The Evolution of Lateral Dose Distributions of Helium Ion Beams in Air: From Measurement and Modeling to Their Impact on Treatment Planning." Frontiers in Physics 9 (January 7, 2022). http://dx.doi.org/10.3389/fphy.2021.797354.

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Анотація:
To start clinical trials with the first clinical treatment planning system supporting raster-scanned helium ion therapy, a comprehensive database of beam characteristics and parameters was required for treatment room-specific beam physics modeling at the Heidelberg Ion-Beam Therapy Center (HIT). At six different positions in the air gap along the beam axis, lateral beam profiles were systematically measured for 14 initial beam energies covering the full range of available energies at HIT. The 2D-array of liquid-filled ionization chambers OCTAVIUS from PTW was irradiated by a pencil beam focused at the central axis. With a full geometric representation of HIT’s monitoring chambers and beamline elements in FLUKA, our Monte Carlo beam model matches the measured lateral beam profiles. A second set of measurements with the detector placed in a water tank was used to validate the adjustments of the initial beam parameters assumed in the FLUKA simulation. With a deviation between simulated and measured profiles below ±0.8 mm for all investigated beam energies, the simulated profiles build part of the database for the first clinical treatment planning system for helium ions. The evolution of beamwidth was also compared to similar simulations of the clinically available proton and carbon beam. This allows a choice of treatment modality based on quantitative estimates of the physical beam properties. Finally, we investigated the influence of beamwidth variation on patient treatment plans in order to estimate the relevance and necessary precision limits for lateral beam width models.
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9

Moglioni, Martina, Aafke Christine Kraan, Guido Baroni, Giuseppe Battistoni, Nicola Belcari, Andrea Berti, Pietro Carra, et al. "In-vivo range verification analysis with in-beam PET data for patients treated with proton therapy at CNAO." Frontiers in Oncology 12 (September 26, 2022). http://dx.doi.org/10.3389/fonc.2022.929949.

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Анотація:
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.
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Дисертації з теми "Proton therapy, PET, FLUKA, treatment monitoring"

1

Topi, Albana. "Positron Emission Tomography Applied in Proton Therapy for Treatment Delivery Verification." Doctoral thesis, Università di Siena, 2018. http://hdl.handle.net/11365/1066400.

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Анотація:
The aim of this thesis is to investigate the use of a dedicated system for proton therapy treatments monitoring based on the PET technique. It focuses on the use of data acquired shortly after irradiations, which is currently not yet fully explored. An ad hoc detector called DoPET was built and used for several experiments. This stationary dual-head detector, along with an on-purpose optimised reconstruction software, is capable of reconstructing the β+ activated volume, acquiring data also during treatment for cyclotron based facilities. Currently, this system is one of the few PET systems worldwide for proton therapy monitoring that can be easily transported: it acquired data in three different particle therapy centres in Italy and in the proton therapy centre of Krakow, Poland. The FLUKA MC code was used for the validation and interpretation of our experimental data. FLUKA was chosen as a simulation tool because it has been intensively benchmarked against depth-dose data and lateral-dose profiles from various accelerators used for research and clinical ion-beam therapy. In this thesis, we present data acquired in two proton therapy centres with the aim of measuring the system monitoring capabilities in various conditions. The thesis is organized as follows: Chapter 1 provides a review of the physical rationale of particle therapy. In chapter 2, the DoPET system and its calibration process are described, along with the proton therapy centres where we have acquired data. Furthermore, we describe two methods of β+ activity reconstruction and the FLUKA MC code. Chapter 3 contains the experimental data analysis and their validation with FLUKA simulations, demonstrating that DoPET along with FLUKA can be used as a monitoring system for proton therapy. The last part of the chapter deals with the potential use of DoPET for beam characterisation. Finally, appendix A describes particle therapy technology and appendix B introduces a model for β + signal estimation.
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