Evidence map›Paper›PMID 39059251›Full record

ArticlePhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)2024

An interface tool to parametrize treatment plans for the TrueBeam radiotherapy system into TOPAS parameter control files for Monte Carlo simulation.

Ramon Ortiz, Daren Sawkey, Bruce Faddegon, Naoki D-Kondo, José Ramos-Méndez

Abstract read
In one paragraph

Article in Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ramon OrtizUniversity of California San Francisco, Department of Radiation Oncology 1600 Divisadero Street, San Francisco, CA 94143, United States.
Daren SawkeyVarian, A Siemens Healthineers Company, 3100 Hansen Way, Palo Alto CA 94034, United States.
Bruce FaddegonUniversity of California San Francisco, Department of Radiation Oncology 1600 Divisadero Street, San Francisco, CA 94143, United States.
Naoki D-KondoUniversity of California San Francisco, Department of Radiation Oncology 1600 Divisadero Street, San Francisco, CA 94143, United States.
José Ramos-MéndezUniversity of California San Francisco, Department of Radiation Oncology 1600 Divisadero Street, San Francisco, CA 94143, United States. Electronic address: jose.ramosmendez@ucsf.edu.

Funding

The TOPAS Tool for Particle Simulation, a Monte Carlo Simulation Tool for Physics, Biology and Clinical ResearchU24CA215123 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FADDEGON, BRUCE · 2018 to 2022
$4.2M
NCI NIH HHS U24 CA215123
6 · The paper itself

Abstract

purposeThe Monte Carlo (MC) method, the gold standard method for radiotherapy dose calculations, is underused in clinical research applications mainly due to computational speed limitations. Another reason is the time-consuming and error prone conversion of treatment plan specifications into MC parameters. To address this issue, we developed an interface tool that creates a set of TOPAS parameter control files (PCF) from information exported from a clinical treatment planning system (TPS) for plans delivered by the TrueBeam radiotherapy system.

methodsThe interface allows the user to input DICOM-RT files, exported from a TPS and containing the plan parameters, and choose different multileaf-collimator models, variance reduction technique parameters, scoring quantities and simulation output formats. Radiation sources are precomputed phase space files obtained from Varian. Based on this information, ready-to-run TOPAS PCF that incorporate the position and angular rotation of the TrueBeam dynamic collimation devices, gantry, couch, and patient according to treatment plan specifications are created.

resultsDose distributions computed using these PCF were compared against predictions from commercial TPS for different clinical treatment plans and techniques (3D-CRT, IMRT step-and-shoot and VMAT) to evaluate the performance of the interface. The agreement between dose distributions from TOPAS and TPS (>98 % pass ratio in the gamma test) confirmed the correct parametrization of treatment plan specifications into MC PCF.

conclusionsThis interface tool is expected to widen the use of MC methods in the clinical medical physics field by facilitating the straightforward transfer of treatment plan parameters from commercial TPS into MC PCF.

Indexed as

Monte Carlo MethodRadiotherapy DosageRadiotherapy Planning, Computer-AssistedHumansSoftwareUser-Computer InterfaceDose calculationMonte CarloTreatment planning systemVMAT

Identifiers

PMID39059251
PMCPMC11323898

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.