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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Published inJournal of medical physics Vol. 49; no. 4; pp. 531 - 538
Main Authors Rohollahpour, Elham, Ahangari, Hadi Taleshi
Format Journal Article
LanguageEnglish
Published India Wolters Kluwer - Medknow 01.10.2024
Medknow Publications and Media Pvt. Ltd
Medknow Publications & Media Pvt. Ltd
Wolters Kluwer Medknow Publications
Edition2
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Summary: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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ISSN:0971-6203
1998-3913
DOI:10.4103/jmp.jmp_74_24