Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study

Context: Using prompt gamma (PG) ray is proposed as a promising solution for in vivo monitoring in proton therapy. Despite significant and diverse approaches explored over the past two decades, challenges still persist for more effective utilization. Aims: The feasibility of estimating proton range...

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Main Authors: Elham Rohollahpour, Hadi Taleshi Ahangari
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-12-01
Series:Journal of Medical Physics
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Online Access:https://journals.lww.com/10.4103/jmp.jmp_74_24
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author Elham Rohollahpour
Hadi Taleshi Ahangari
author_facet Elham Rohollahpour
Hadi Taleshi Ahangari
author_sort Elham Rohollahpour
collection DOAJ
description Context: Using prompt gamma (PG) ray is proposed as a promising solution for in vivo monitoring in proton therapy. Despite significant and diverse approaches explored over the past two decades, challenges still persist for more effective utilization. Aims: The feasibility of estimating proton range with PG imaging (PGI) as an online imaging guide in an anthropomorphic phantom with lung cancer was investigated through GATE/GEANT4 Monte Carlo simulation. Setting and Design: Once the GATE code was validated for use as a simulation tool, the gamma energy spectra of NURBS-based cardiac-torso (NCAT) and polymethyl methacrylate phantoms, representing heterogeneous and homogeneous phantoms respectively, were compared with the gamma emission lines known in nuclear interactions with tissue elements. A 5-mm radius spherical tumor in the lung region of an NCAT phantom, without any physiological or morphological changes, was simulated. Subjects and Methods: The proton pencil beam source was defined as a function of the tumor size to encompass the tumor volume. The longitudinal spatial correlation between the proton dose deposition and the distribution of detected PG rays by the multi-slit camera was assessed for proton range estimation. The simulations were conducted for both 108 and 109 protons. Results: The deviation between the proton range and the range estimated by PGI following proton beam irradiation to the center of the lung tumor was determined by evaluating the longitudinal profiles at the 80% fall-off point, measuring 1.9 mm for 109 protons and 4.5 mm for 108 protons. Conclusions: The accuracy of proton range estimation through PGI is greatly influenced by the number of incident protons and tissue characteristics. With 109 protons, it is feasible to utilize PGI as a real-time monitoring technique during proton therapy for lung cancer.
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spelling doaj-art-87d1900a1d5448218dacd120302fe02e2025-01-07T07:19:03ZengWolters Kluwer Medknow PublicationsJournal of Medical Physics0971-62031998-39132024-12-0149453153810.4103/jmp.jmp_74_24Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo StudyElham RohollahpourHadi Taleshi AhangariContext: Using prompt gamma (PG) ray is proposed as a promising solution for in vivo monitoring in proton therapy. Despite significant and diverse approaches explored over the past two decades, challenges still persist for more effective utilization. Aims: The feasibility of estimating proton range with PG imaging (PGI) as an online imaging guide in an anthropomorphic phantom with lung cancer was investigated through GATE/GEANT4 Monte Carlo simulation. Setting and Design: Once the GATE code was validated for use as a simulation tool, the gamma energy spectra of NURBS-based cardiac-torso (NCAT) and polymethyl methacrylate phantoms, representing heterogeneous and homogeneous phantoms respectively, were compared with the gamma emission lines known in nuclear interactions with tissue elements. A 5-mm radius spherical tumor in the lung region of an NCAT phantom, without any physiological or morphological changes, was simulated. Subjects and Methods: The proton pencil beam source was defined as a function of the tumor size to encompass the tumor volume. The longitudinal spatial correlation between the proton dose deposition and the distribution of detected PG rays by the multi-slit camera was assessed for proton range estimation. The simulations were conducted for both 108 and 109 protons. Results: The deviation between the proton range and the range estimated by PGI following proton beam irradiation to the center of the lung tumor was determined by evaluating the longitudinal profiles at the 80% fall-off point, measuring 1.9 mm for 109 protons and 4.5 mm for 108 protons. Conclusions: The accuracy of proton range estimation through PGI is greatly influenced by the number of incident protons and tissue characteristics. With 109 protons, it is feasible to utilize PGI as a real-time monitoring technique during proton therapy for lung cancer.https://journals.lww.com/10.4103/jmp.jmp_74_24anthropomorphic phantomlung cancermonte carlo simulationprompt gamma imagingproton range estimation
spellingShingle Elham Rohollahpour
Hadi Taleshi Ahangari
Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study
Journal of Medical Physics
anthropomorphic phantom
lung cancer
monte carlo simulation
prompt gamma imaging
proton range estimation
title Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study
title_full Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study
title_fullStr Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study
title_full_unstemmed Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study
title_short Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study
title_sort feasibility of proton range estimation with prompt gamma imaging in proton therapy of lung cancer monte carlo study
topic anthropomorphic phantom
lung cancer
monte carlo simulation
prompt gamma imaging
proton range estimation
url https://journals.lww.com/10.4103/jmp.jmp_74_24
work_keys_str_mv AT elhamrohollahpour feasibilityofprotonrangeestimationwithpromptgammaimaginginprotontherapyoflungcancermontecarlostudy
AT haditaleshiahangari feasibilityofprotonrangeestimationwithpromptgammaimaginginprotontherapyoflungcancermontecarlostudy