Evaluation of machine log files/MC-based treatment planning and delivery QA as compared to ArcCHECK QA
Purpose: A treatment planning/delivery QA tool using linac log files (LF) and Monte Carlo (MC) dose calculation is investigated as a standalone alternative to phantom-based patient-specific QA (ArcCHECK (AC)). Methods Delivering a variety of fields onto MapCHECK2 and ArcCHECK, diode sensitivity depe...
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
20 April 2018
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| In: |
Medical physics
Year: 2018, Jahrgang: 45, Heft: 7, Pages: 2864-2874 |
| ISSN: | 2473-4209 |
| DOI: | 10.1002/mp.12926 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/mp.12926 Verlag, lizenzpflichtig, Volltext: https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.12926 
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| Verfasserangaben: | Carl W. Stanhope, Douglas G. Drake, Jian Liang, Markus Alber, Matthias Söhn, Charbel Habib, Virgil Willcut, Di Yan |
MARC
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| 100 | 1 | |a Stanhope, Carl |e VerfasserIn |0 (DE-588)1207935522 |0 (DE-627)1694255549 |4 aut | |
| 245 | 1 | 0 | |a Evaluation of machine log files/MC-based treatment planning and delivery QA as compared to ArcCHECK QA |c Carl W. Stanhope, Douglas G. Drake, Jian Liang, Markus Alber, Matthias Söhn, Charbel Habib, Virgil Willcut, Di Yan |
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| 520 | |a Purpose: A treatment planning/delivery QA tool using linac log files (LF) and Monte Carlo (MC) dose calculation is investigated as a standalone alternative to phantom-based patient-specific QA (ArcCHECK (AC)). Methods Delivering a variety of fields onto MapCHECK2 and ArcCHECK, diode sensitivity dependence on dose rate (in-field) and energy (primarily out-of-field) was quantified. AC and LF QAs were analyzed with respect to delivery complexity by delivering 12 × 12 cm static fields/arcs comprised of varying numbers of abutting sub-fields onto ArcCHECK. About 11 clinical dual-arc VMAT patients planned using Pinnacle's convolution-superposition (CS) were delivered on ArcCHECK and log file dose (LF-CS and LF-MC) calculated. To minimize calculation time, reduced LF-CS sampling (1/2/3/4° control point spacing) was investigated. Planned (“Plan”) and LF-reconstructed CS and MC doses were compared with each other and AC measurement via statistical [mean ± StdDev(σ)] and gamma analyses to isolate dosimetric uncertainties and quantify the relative accuracies of AC QA and MC-based LF QA. Results Calculation and ArcCHECK measurement differed by up to 1.5% in-field due to variation in dose rate and up to 5% out-of-field. For the experimental segment-varying plans, despite CS calculation deviating by as much as 13% from measurement, Plan-MC and LF-MC doses generally matched AC measurement within 3%. Utilizing 1° control point spacing, 2%/2 mm LF-CS vs AC pass rates (97%) were slightly lower than Plan-CS vs AC pass rates (97.5%). Utilizing all log file samples, 2%/2 mm LF-MC vs AC pass rates (97.3%) were higher than Plan-MC vs AC (96.5%). Phantom-dependent, calculation algorithm-dependent (MC vs CS), and delivery error-dependent dose uncertainties were 0.8 ± 1.2%, 0.2 ± 1.1%, and 0.1 ± 0.9% respectively. Conclusion Reconstructing every log file sample with no increase in computational cost, MC-based LF QA is faster and more accurate than CS-based LF QA. Offering similar dosimetric accuracy compared to AC measurement, MC-based log files can be used for treatment planning QA. | ||
| 650 | 4 | |a ArcCHECK | |
| 650 | 4 | |a log file | |
| 650 | 4 | |a Monte Carlo | |
| 650 | 4 | |a quality assurance | |
| 700 | 1 | |a Drake, Douglas G. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Liang, Jian |e VerfasserIn |4 aut | |
| 700 | 1 | |a Alber, Markus |e VerfasserIn |0 (DE-588)1145057101 |0 (DE-627)1005461767 |0 (DE-576)495602507 |4 aut | |
| 700 | 1 | |a Söhn, Matthias |e VerfasserIn |4 aut | |
| 700 | 1 | |a Habib, Charbel |e VerfasserIn |4 aut | |
| 700 | 1 | |a Willcut, Virgil |e VerfasserIn |4 aut | |
| 700 | 1 | |a Yan, Di |e VerfasserIn |4 aut | |
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