Evaluation of solid phantom materials as water substitutes in high-energy photon beam radiotherapy: A comprehensive dosimetric analysis using GATE/Geant4 simulation

To evaluate the dosimetric equivalence of six solid phantom materials as water substitutes for radiotherapy quality assurance using validated Monte Carlo simulation. A 6 MV Varian TrueBeam linac was modeled using GATE/Geant4 with IAEA-compliant phase space files. After rigorous validation against experimental measurements (>99 % gamma pass rate, 2 %/2 mm), percentage depth dose (PDD) and lateral profiles were computed for RW3, Nylon, PMMA, Polyester, Polyethylene, and Original Plastic Water, then compared to water using statistical analysis and 3D dose mapping. Original Plastic Water showed superior equivalence (PDD: 0.164 %, RMSE: 1.480 %), followed by RW3 (PDD: −0.653 %, RMSE: 1.891 %). Polyethylene exhibited positive bias (PDD: 3.978 %). PMMA, Polyester, and Nylon demonstrated substantial negative deviations (PDD: −11.304 %, −11.313 %, −8.922 %; RMSE: 3.710 %, 3.600 %, 2.758 %, respectively), particularly at greater depths. Original Plastic Water and RW3 are validated as clinically acceptable water substitutes for high-precision radiotherapy QA. PMMA, Polyester, and Nylon require correction factors for accurate dosimetry. This framework provides robust methodology for evidence-based phantom material selection.

Authors

Institutions

Publication Details

Journal
Nuclear Engineering and Technology
Published
2026-02-03
DOI
https://doi.org/10.1016/j.net.2026.104170
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of solid phantom materials as water substitutes in high-energy photon beam radiotherapy: A comprehensive dosimetric analysis using GATE/Geant4 simulation

O. El rhazouani, H. Sekkat, A. Halimi, A. Khallouqi
Nuclear Engineering and Technology
Advanced Radiotherapy Techniques
article

Evaluation of solid phantom materials as water substitutes in high-energy photon beam radiotherapy: A comprehensive dosimetric analysis using GATE/Geant4 simulation

O. El rhazouani, H. Sekkat, A. Halimi, A. Khallouqi
article en

Abstract

To evaluate the dosimetric equivalence of six solid phantom materials as water substitutes for radiotherapy quality assurance using validated Monte Carlo simulation. A 6 MV Varian TrueBeam linac was modeled using GATE/Geant4 with IAEA-compliant phase space files. After rigorous validation against experimental measurements (>99 % gamma pass rate, 2 %/2 mm), percentage depth dose (PDD) and lateral profiles were computed for RW3, Nylon, PMMA, Polyester, Polyethylene, and Original Plastic Water, then compared to water using statistical analysis and 3D dose mapping. Original Plastic Water showed superior equivalence (PDD: 0.164 %, RMSE: 1.480 %), followed by RW3 (PDD: −0.653 %, RMSE: 1.891 %). Polyethylene exhibited positive bias (PDD: 3.978 %). PMMA, Polyester, and Nylon demonstrated substantial negative deviations (PDD: −11.304 %, −11.313 %, −8.922 %; RMSE: 3.710 %, 3.600 %, 2.758 %, respectively), particularly at greater depths. Original Plastic Water and RW3 are validated as clinically acceptable water substitutes for high-precision radiotherapy QA. PMMA, Polyester, and Nylon require correction factors for accurate dosimetry. This framework provides robust methodology for evidence-based phantom material selection.

Nuclear Engineering and TechnologyVol. 58(5)
Université Hassan 1er (MA)
Clean water and sanitation
Openalex Percentile: Top 69%
Advanced Radiotherapy Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.