Sub-arc collimator angle optimization based on the conformity index heatmap for VMAT planning of multiple brain metastases SRS treatments
ObjectiveThe aim of this study was to investigate the impact of collimator angle optimization in single-isocenter coplanar volume modulated arc therapy (VMAT) stereotactic radiosurgery (SRS) for multiple metastases with respect to dosimetric quality and treatment delivery efficiency. In particular,...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.987971/full |
| _version_ | 1818066842810318848 |
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| author | Jiuling Shen Jiuling Shen Zhitao Dai Jing Yu Jing Yu Qingqing Yuan Kailian Kang Cheng Chen Cheng Chen Hui Liu Hui Liu Conghua Xie Conghua Xie Xiaoyong Wang Xiaoyong Wang |
| author_facet | Jiuling Shen Jiuling Shen Zhitao Dai Jing Yu Jing Yu Qingqing Yuan Kailian Kang Cheng Chen Cheng Chen Hui Liu Hui Liu Conghua Xie Conghua Xie Xiaoyong Wang Xiaoyong Wang |
| author_sort | Jiuling Shen |
| collection | DOAJ |
| description | ObjectiveThe aim of this study was to investigate the impact of collimator angle optimization in single-isocenter coplanar volume modulated arc therapy (VMAT) stereotactic radiosurgery (SRS) for multiple metastases with respect to dosimetric quality and treatment delivery efficiency. In particular, this is achieved by a novel algorithm of sub-arc collimator angle optimization (SACAO).MethodsTwenty patients with multiple brain metastases were retrospectively included in this study. A multi-leaf collimator (MLC) conformity index (MCI) that is defined as the ratio of the area of target projection in the beam’s eye view (BEV) to the related area fitted by MLC was applied. Accordingly, for each control point, 180 MCI values were calculated with a collimator angle interval of 1°. A two-dimensional heatmap of MCI as a function of control point and collimator angle for each full arc was generated. The optimal segmentation of sub-arcs was achieved by avoiding the worst MCI at each control point. Then, the optimal collimator angle for each sub-arc would be determined by maximizing the summation of MCI. Each patient was scheduled to undergo single-center coplanar VMAT SRS based on either the novel SACAO algorithm or the conventional VMAT with static collimator angle (ST-VMAT). The dosimetric parameters, field sizes, and the monitoring units (Mus) were evaluated.ResultsThe mean dose-volumetric parameters for the target volume of SACAO were comparable to ST-VMAT, while the conformity index (CI), homogeneity index (HI), and gradient index (GI) were reduced by SACAO. Improved sparing of organs at risk (OARs) was also obtained by SACAO. In particular, the SACAO method significantly (p < 0.01) reduced the field size (76.59 ± 32.55 vs. 131.95 ± 56.71 cm2) and MUs (655.35 ± 71.99 vs. 729.85 ± 73.52) by 41.11%.ConclusionsThe SACAO method could be superior in improving the CI, HI, and GI of the targets as well as normal tissue sparing for multiple brain metastases SRS. In particular, SACAO has the potential of increasing treatment efficiency in terms of field size and MU. |
| first_indexed | 2024-12-10T15:14:13Z |
| format | Article |
| id | doaj.art-699cd447bac54619915a162dea4003fe |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-10T15:14:13Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-699cd447bac54619915a162dea4003fe2022-12-22T01:43:50ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-09-011210.3389/fonc.2022.987971987971Sub-arc collimator angle optimization based on the conformity index heatmap for VMAT planning of multiple brain metastases SRS treatmentsJiuling Shen0Jiuling Shen1Zhitao Dai2Jing Yu3Jing Yu4Qingqing Yuan5Kailian Kang6Cheng Chen7Cheng Chen8Hui Liu9Hui Liu10Conghua Xie11Conghua Xie12Xiaoyong Wang13Xiaoyong Wang14Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, ChinaHubei Radiotherapy Quality Control Center, Wuhan University, Wuhan, ChinaNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, ChinaDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, ChinaHubei Radiotherapy Quality Control Center, Wuhan University, Wuhan, ChinaNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, ChinaNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, ChinaDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, ChinaHubei Radiotherapy Quality Control Center, Wuhan University, Wuhan, ChinaDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, ChinaHubei Radiotherapy Quality Control Center, Wuhan University, Wuhan, ChinaDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, ChinaHubei Radiotherapy Quality Control Center, Wuhan University, Wuhan, ChinaDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, ChinaHubei Radiotherapy Quality Control Center, Wuhan University, Wuhan, ChinaObjectiveThe aim of this study was to investigate the impact of collimator angle optimization in single-isocenter coplanar volume modulated arc therapy (VMAT) stereotactic radiosurgery (SRS) for multiple metastases with respect to dosimetric quality and treatment delivery efficiency. In particular, this is achieved by a novel algorithm of sub-arc collimator angle optimization (SACAO).MethodsTwenty patients with multiple brain metastases were retrospectively included in this study. A multi-leaf collimator (MLC) conformity index (MCI) that is defined as the ratio of the area of target projection in the beam’s eye view (BEV) to the related area fitted by MLC was applied. Accordingly, for each control point, 180 MCI values were calculated with a collimator angle interval of 1°. A two-dimensional heatmap of MCI as a function of control point and collimator angle for each full arc was generated. The optimal segmentation of sub-arcs was achieved by avoiding the worst MCI at each control point. Then, the optimal collimator angle for each sub-arc would be determined by maximizing the summation of MCI. Each patient was scheduled to undergo single-center coplanar VMAT SRS based on either the novel SACAO algorithm or the conventional VMAT with static collimator angle (ST-VMAT). The dosimetric parameters, field sizes, and the monitoring units (Mus) were evaluated.ResultsThe mean dose-volumetric parameters for the target volume of SACAO were comparable to ST-VMAT, while the conformity index (CI), homogeneity index (HI), and gradient index (GI) were reduced by SACAO. Improved sparing of organs at risk (OARs) was also obtained by SACAO. In particular, the SACAO method significantly (p < 0.01) reduced the field size (76.59 ± 32.55 vs. 131.95 ± 56.71 cm2) and MUs (655.35 ± 71.99 vs. 729.85 ± 73.52) by 41.11%.ConclusionsThe SACAO method could be superior in improving the CI, HI, and GI of the targets as well as normal tissue sparing for multiple brain metastases SRS. In particular, SACAO has the potential of increasing treatment efficiency in terms of field size and MU.https://www.frontiersin.org/articles/10.3389/fonc.2022.987971/fullcollimator angle optimizationvolumetric modulated arc therapystereotactic radiosurgerymultiple brain metastasessub-arc |
| spellingShingle | Jiuling Shen Jiuling Shen Zhitao Dai Jing Yu Jing Yu Qingqing Yuan Kailian Kang Cheng Chen Cheng Chen Hui Liu Hui Liu Conghua Xie Conghua Xie Xiaoyong Wang Xiaoyong Wang Sub-arc collimator angle optimization based on the conformity index heatmap for VMAT planning of multiple brain metastases SRS treatments Frontiers in Oncology collimator angle optimization volumetric modulated arc therapy stereotactic radiosurgery multiple brain metastases sub-arc |
| title | Sub-arc collimator angle optimization based on the conformity index heatmap for VMAT planning of multiple brain metastases SRS treatments |
| title_full | Sub-arc collimator angle optimization based on the conformity index heatmap for VMAT planning of multiple brain metastases SRS treatments |
| title_fullStr | Sub-arc collimator angle optimization based on the conformity index heatmap for VMAT planning of multiple brain metastases SRS treatments |
| title_full_unstemmed | Sub-arc collimator angle optimization based on the conformity index heatmap for VMAT planning of multiple brain metastases SRS treatments |
| title_short | Sub-arc collimator angle optimization based on the conformity index heatmap for VMAT planning of multiple brain metastases SRS treatments |
| title_sort | sub arc collimator angle optimization based on the conformity index heatmap for vmat planning of multiple brain metastases srs treatments |
| topic | collimator angle optimization volumetric modulated arc therapy stereotactic radiosurgery multiple brain metastases sub-arc |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.987971/full |
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