3D gamma analysis between treatment plans for nominally beam‐matched medical linear accelerators using PyMedPhys
Abstract Beam‐matched linear accelerators (linacs) enable flexible patient scheduling and efficient treatment delivery in the event of unexpected machine downtime. The purpose of this study was to test the feasibility of 3D gamma index as an additional metric beyond standard measurement‐based compar...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | Precision Radiation Oncology |
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| Online Access: | https://doi.org/10.1002/pro6.1247 |
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| author | Fada Guan William Donahue Simon Biggs Matthew Jennings Emily Draeger Huixiao Chen Yuenan Wang Ngoc Nguyen David J. Carlson Zhe Chen Dae Yup Han |
| author_facet | Fada Guan William Donahue Simon Biggs Matthew Jennings Emily Draeger Huixiao Chen Yuenan Wang Ngoc Nguyen David J. Carlson Zhe Chen Dae Yup Han |
| author_sort | Fada Guan |
| collection | DOAJ |
| description | Abstract Beam‐matched linear accelerators (linacs) enable flexible patient scheduling and efficient treatment delivery in the event of unexpected machine downtime. The purpose of this study was to test the feasibility of 3D gamma index as an additional metric beyond standard measurement‐based comparisons for more efficient evaluation of treatment plans between linacs with nominally matched beam models to ensure safe patient transfer. Seventeen 3D conformal radiotherapy (3DCRT) plans and thirty‐six volumetric‐modulated radiation therapy (VMAT) plans for different disease sites were selected from the original linac. An in‐house script was used to automatically create new plans for the target linac and calculate dose using parameters of the original plans. 3D gamma analysis was performed to compare plan dose distributions between the target and original linacs using PyMedPhys. The 2%/2 mm gamma pass (γ≤1) rate was >99.99% for all 3DCRT plans. The median 1%/1 mm pass rate was 99.86% but two cases failed (< 90%). For VMAT plans, the median and minimum 2%/2 mm gamma pass rates were 99.43% and 93.81%. For 1%/1 mm, the median pass rate was 92.02% but ten cases failed. The results indicated using 3D gamma index can enhance the confidence and add an extra layer for safe patient transfer. |
| format | Article |
| id | doaj-art-da2fc88a288c4163aaef9a18bbbfa1d4 |
| institution | DOAJ |
| issn | 2398-7324 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Precision Radiation Oncology |
| spelling | doaj-art-da2fc88a288c4163aaef9a18bbbfa1d42025-08-20T02:40:35ZengWileyPrecision Radiation Oncology2398-73242024-12-018419119910.1002/pro6.12473D gamma analysis between treatment plans for nominally beam‐matched medical linear accelerators using PyMedPhysFada Guan0William Donahue1Simon Biggs2Matthew Jennings3Emily Draeger4Huixiao Chen5Yuenan Wang6Ngoc Nguyen7David J. Carlson8Zhe Chen9Dae Yup Han10Department of Therapeutic Radiology Yale School of Medicine New Haven Connecticut USADepartment of Medical Physics Memorial Sloan Kettering Cancer Center New York New York USAAnthropic PBC San Francisco California USADepartment of Medical Physics ICON Cancer Centres, Cordelia St South Brisbane Queensland AustraliaDepartment of Therapeutic Radiology Yale School of Medicine New Haven Connecticut USADepartment of Therapeutic Radiology Yale School of Medicine New Haven Connecticut USADepartment of Therapeutic Radiology Yale School of Medicine New Haven Connecticut USADepartment of Therapeutic Radiology Yale School of Medicine New Haven Connecticut USADepartment of Therapeutic Radiology Yale School of Medicine New Haven Connecticut USADepartment of Therapeutic Radiology Yale School of Medicine New Haven Connecticut USADepartment of Therapeutic Radiology Yale School of Medicine New Haven Connecticut USAAbstract Beam‐matched linear accelerators (linacs) enable flexible patient scheduling and efficient treatment delivery in the event of unexpected machine downtime. The purpose of this study was to test the feasibility of 3D gamma index as an additional metric beyond standard measurement‐based comparisons for more efficient evaluation of treatment plans between linacs with nominally matched beam models to ensure safe patient transfer. Seventeen 3D conformal radiotherapy (3DCRT) plans and thirty‐six volumetric‐modulated radiation therapy (VMAT) plans for different disease sites were selected from the original linac. An in‐house script was used to automatically create new plans for the target linac and calculate dose using parameters of the original plans. 3D gamma analysis was performed to compare plan dose distributions between the target and original linacs using PyMedPhys. The 2%/2 mm gamma pass (γ≤1) rate was >99.99% for all 3DCRT plans. The median 1%/1 mm pass rate was 99.86% but two cases failed (< 90%). For VMAT plans, the median and minimum 2%/2 mm gamma pass rates were 99.43% and 93.81%. For 1%/1 mm, the median pass rate was 92.02% but ten cases failed. The results indicated using 3D gamma index can enhance the confidence and add an extra layer for safe patient transfer.https://doi.org/10.1002/pro6.12473D gamma analysisbeam matchingtreatment plans |
| spellingShingle | Fada Guan William Donahue Simon Biggs Matthew Jennings Emily Draeger Huixiao Chen Yuenan Wang Ngoc Nguyen David J. Carlson Zhe Chen Dae Yup Han 3D gamma analysis between treatment plans for nominally beam‐matched medical linear accelerators using PyMedPhys Precision Radiation Oncology 3D gamma analysis beam matching treatment plans |
| title | 3D gamma analysis between treatment plans for nominally beam‐matched medical linear accelerators using PyMedPhys |
| title_full | 3D gamma analysis between treatment plans for nominally beam‐matched medical linear accelerators using PyMedPhys |
| title_fullStr | 3D gamma analysis between treatment plans for nominally beam‐matched medical linear accelerators using PyMedPhys |
| title_full_unstemmed | 3D gamma analysis between treatment plans for nominally beam‐matched medical linear accelerators using PyMedPhys |
| title_short | 3D gamma analysis between treatment plans for nominally beam‐matched medical linear accelerators using PyMedPhys |
| title_sort | 3d gamma analysis between treatment plans for nominally beam matched medical linear accelerators using pymedphys |
| topic | 3D gamma analysis beam matching treatment plans |
| url | https://doi.org/10.1002/pro6.1247 |
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