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Journal articles on the topic 'Proton therapy, PET, FLUKA, treatment monitoring'

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1

Moglioni, M., A. C. Kraan, A. Berti, 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 (2023): C01001. http://dx.doi.org/10.1088/1748-0221/18/01/c01001.

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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 P
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2

Lang, Karol. "Image-Guided FLASH ProtonTherapy. A dream? Naivety?Arrogance? Or a Necessity?" Bio-Algorithms and Med-Systems 20, Special Issue (2024): 17–26. https://doi.org/10.5604/01.3001.0054.8930.

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<b>Objective:</b> The in-vivo therapy guidance by imaging and dosimetry of proton irradiations, generically known as proton range verification, are some of the most underinvested aspects of radiation oncology. They trail behind other advances in radiation therapy due to the scarcity of sensitive instruments compounded by the lack of treatment protocols for precision monitoring of effects of beam radiation. This is despite that such measurements may dramatically enhance the treatment accuracy and lower the postradiation toxicity, thus improving the entire outcome of cancer therapy.
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3

Brombal, L., D. Barbosa, N. Belcari, 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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4

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

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5

Cesar, John P., Firas Abouzahr, Paulo Crespo, et al. "First PET Studies of a FLASH Proton Beam: Summary and Future Prospects." Bio-Algorithms and Med-Systems 20, Special Issue (2024): 49–54. https://doi.org/10.5604/01.3001.0054.9140.

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<b>Objectives:</b> Proton therapy, while highly effective and successful, still lacks a key feature: the ability to assess, in-vivo, the dose and end-point location of irradiations. Known as proton range verification, this capability can be realized by incorporating positron emission tomography (PET) systems in both conventional and emerging modalities, such as FLASH proton therapy. FLASH itself may revolutionize radiation oncology with its purported ability to better spare healthy tissues, but only if the underlying mechanisms can be understood. We summarize our work towards estab
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6

Müller, Cristina, Maria De Prado Leal, Marco D. Dominietto, et al. "Combination of Proton Therapy and Radionuclide Therapy in Mice: Preclinical Pilot Study at the Paul Scherrer Institute." Pharmaceutics 11, no. 9 (2019): 450. http://dx.doi.org/10.3390/pharmaceutics11090450.

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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, respectivel
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7

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 (2007): 73–76. http://dx.doi.org/10.1177/15330346070060s412.

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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
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8

Rosso, V., G. Battistoni, N. Belcari, 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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9

Ahmed Hasan Al-Jalawee. "Review: cutting-edge developments in radiotherapy: Advances in imaging, motion management and AI-driven treatment optimization." World Journal of Biology Pharmacy and Health Sciences 21, no. 3 (2025): 012–17. https://doi.org/10.30574/wjbphs.2025.21.3.0176.

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Radiotherapy has long been a cornerstone in cancer treatment, utilizing ionizing radiation to target and destroy malignant cells. Recent technological and biological advancements have significantly enhanced treatment precision, reduced radiation exposure to healthy tissues, and improved patient outcomes. This review explores key innovations in radiotherapy, focusing on imaging advancements, motion management techniques, and artificial intelligence (AI)-driven treatment optimization. MRI-guided radiotherapy (MRgRT) has revolutionized tumor visualization, allowing real-time adaptation to anatomi
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10

Kraan, Aafke Christine, Martina Moglioni, Giuseppe Battistoni, et al. "Using the gamma-index analysis for inter-fractional comparison of in-beam PET images for head-and-neck treatment monitoring in proton therapy: A Monte Carlo simulation study." Physica Medica 120 (April 2024): 103329. http://dx.doi.org/10.1016/j.ejmp.2024.103329.

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11

Shah, M., W. Awuah, V. Sanker, et al. "P09.07.A EMERGING TRENDS IN NEURO-ONCOLOGY: THE RECENT ADVANCES OF AMIDE PROTON TRANSFER WEIGHTED (APTW) AND ARTERIAL SPIN LABELLING (ASL) IN BRAIN TUMOUR IMAGING." Neuro-Oncology 26, Supplement_5 (2024): v51. http://dx.doi.org/10.1093/neuonc/noae144.166.

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Abstract BACKGROUND Accurate diagnosis of brain tumours is crucial for improving patient outcomes. Current diagnostic methods such as MRI and CT scans have limitations in differentiating tumour types and defining margins. Recent advances in radiological modalities, specifically Amide Proton Transfer Weighted (APTw) and Arterial Spin Labelling (ASL) imaging, offer promising avenues to overcome these challenges. MATERIAL AND METHODS A systematic review of papers published between 2000 and 2024 that met the inclusion criteria was undertaken using several databases, including PubMed, EMBASE, Googl
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12

Freitas, Hugo, Esmaeil Nobakht, Florian Grüner, and Joao Seco. "A comparative analysis of GEANT4, MCNP6 and FLUKA on proton‐induced gamma‐ray simulation." Medical Physics, March 11, 2025. https://doi.org/10.1002/mp.17754.

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AbstractBackgroundPrecise range verification is essential in proton therapy to minimize treatment margins due to the steep dose fall‐off of proton beams. The emission of secondary radiation from nuclear reactions between incident particles and tissues stands out as a promising method for range verification. Two prominent techniques are PET and Prompt Gamma‐Ray Spectroscopy (PGS). PGS holds significant promise due to its real‐time capability for range monitoring. This method allows for prompt detection and quantification of any disparities between planned and actual dose delivery, facilitating
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13

Borys, Damian, Jakub Baran, Karol W. Brzezinski, 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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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
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14

Brzezinski, Karol Wiktor, Jakub Baran, Damian Borys, et al. "Detection of range shifts in proton beam therapy using the J-PET scanner: a patient simulation study." Physics in Medicine & Biology, June 9, 2023. http://dx.doi.org/10.1088/1361-6560/acdd4c.

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Abstract Objective: The Jagiellonian PET (J-PET) technology, based on plastic scintillators, has been proposed as a cost effective tool for detecting range deviations during proton therapy. This study investigates the feasibility of using J-PET for range monitoring by means of a detailed Monte Carlo simulation study of 95 patients who underwent proton therapy at the Cyclotron Centre Bronowice (CCB) in Krakow, Poland. 
Approach: Discrepancies between prescribed and delivered treatments were artificially introduced in the simulations by means of shifts in patient positioning and in the H
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15

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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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 focuse
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16

Moglioni, Martina, Aafke Christine Kraan, Guido Baroni, 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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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 PE
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