PO91

Sophia Rooks, Reza Taleei, Nicole Simone, P. Rani Anne, Firas Mourtada
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The HDR plan was first calculated with the TG-43 dose formalism and optimized using inverse planning by a simulated annealing algorithm (IPSA). Using the same relative dwell weights provided by IPSA from the TG-43 plan, dose was then recalculated using the ACE algorithm. The ACE calculation used Oncentra's High Accuracy level with a 1.0-mm-cubed dose grid. The planning target volume (PTV) and organs at risk (including regions with significant inhomogeneity) were contoured. Dose Volume Histograms (DVH's) of the PTV_eval and organs at risk were calculated with both TG-43 and ACE dose formalisms for each plan. Absolute and percent differences were also calculated for each metric. Results As shown in Table 1, the ACE calculated dose relative to the TG-43 calculated dose is consistently lower for all dosimetric parameters. The dose calculation differed by up to 9% or 112 cGy in the selected parameters. See comparison table for more details. The calculation time was 16 minutes using the standard GPU provided by Elekta hardware. Conclusion The IROC “Breast Test Case” ACE commissioning was a straightforward procedure and easy installation. Total commissioning time was less than an hour. The ACE calculated dose relative to the TG-43 calculated dose in the selected patient case was consistently lower for all dosimetric parameters. This algorithm offers a more accurate reconstruction of the dose distribution (by comparison to Monte Carlo, per UN35). The highest percent differences in dose calculation were found in the PTV_eval and skin region for this case. This study provides a framework for future studies of ACE dosimetric impact for breast cancer brachytherapy, and more breast cancer patient plans will be analyzed with summary statistics reported. This will be a particularly useful framework when correlating lower skin dose estimate with cosmetic outcomes. To commission and retrospectively compare dosimetry of Elekta's Advanced Collapsed Cone Engine (ACE) calculation algorithm with the standard TG 43-based dose formalism on an IPSA-optimized and CT-based HDR clinical breast plan. At our institution, we commissioned ACE for HDR brachytherapy using the “Breast Test Case” data from iroc.mdandderson.org. This used a generic Ir-192 source and was published by the AAPM Working Group on Commissioning of Model-Based Dose Calculation Algorithms in Brachytherapy (UN35). A previous breast cancer case treated with Hologic's Contura multi-catheter HDR applicator was selected from our clinical database to evaluate the ACE dose engine. The Oncentra treatment planning system (v. 4.6) was used in this study. The HDR plan was first calculated with the TG-43 dose formalism and optimized using inverse planning by a simulated annealing algorithm (IPSA). Using the same relative dwell weights provided by IPSA from the TG-43 plan, dose was then recalculated using the ACE algorithm. The ACE calculation used Oncentra's High Accuracy level with a 1.0-mm-cubed dose grid. The planning target volume (PTV) and organs at risk (including regions with significant inhomogeneity) were contoured. Dose Volume Histograms (DVH's) of the PTV_eval and organs at risk were calculated with both TG-43 and ACE dose formalisms for each plan. Absolute and percent differences were also calculated for each metric. As shown in Table 1, the ACE calculated dose relative to the TG-43 calculated dose is consistently lower for all dosimetric parameters. The dose calculation differed by up to 9% or 112 cGy in the selected parameters. See comparison table for more details. The calculation time was 16 minutes using the standard GPU provided by Elekta hardware. The IROC “Breast Test Case” ACE commissioning was a straightforward procedure and easy installation. Total commissioning time was less than an hour. The ACE calculated dose relative to the TG-43 calculated dose in the selected patient case was consistently lower for all dosimetric parameters. This algorithm offers a more accurate reconstruction of the dose distribution (by comparison to Monte Carlo, per UN35). The highest percent differences in dose calculation were found in the PTV_eval and skin region for this case. This study provides a framework for future studies of ACE dosimetric impact for breast cancer brachytherapy, and more breast cancer patient plans will be analyzed with summary statistics reported. This will be a particularly useful framework when correlating lower skin dose estimate with cosmetic outcomes.","PeriodicalId":93914,"journal":{"name":"Brachytherapy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PO91\",\"authors\":\"Sophia Rooks, Reza Taleei, Nicole Simone, P. Rani Anne, Firas Mourtada\",\"doi\":\"10.1016/j.brachy.2023.06.192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose To commission and retrospectively compare dosimetry of Elekta's Advanced Collapsed Cone Engine (ACE) calculation algorithm with the standard TG 43-based dose formalism on an IPSA-optimized and CT-based HDR clinical breast plan. Materials and Methods At our institution, we commissioned ACE for HDR brachytherapy using the “Breast Test Case” data from iroc.mdandderson.org. This used a generic Ir-192 source and was published by the AAPM Working Group on Commissioning of Model-Based Dose Calculation Algorithms in Brachytherapy (UN35). A previous breast cancer case treated with Hologic's Contura multi-catheter HDR applicator was selected from our clinical database to evaluate the ACE dose engine. The Oncentra treatment planning system (v. 4.6) was used in this study. The HDR plan was first calculated with the TG-43 dose formalism and optimized using inverse planning by a simulated annealing algorithm (IPSA). Using the same relative dwell weights provided by IPSA from the TG-43 plan, dose was then recalculated using the ACE algorithm. The ACE calculation used Oncentra's High Accuracy level with a 1.0-mm-cubed dose grid. The planning target volume (PTV) and organs at risk (including regions with significant inhomogeneity) were contoured. Dose Volume Histograms (DVH's) of the PTV_eval and organs at risk were calculated with both TG-43 and ACE dose formalisms for each plan. Absolute and percent differences were also calculated for each metric. Results As shown in Table 1, the ACE calculated dose relative to the TG-43 calculated dose is consistently lower for all dosimetric parameters. The dose calculation differed by up to 9% or 112 cGy in the selected parameters. See comparison table for more details. The calculation time was 16 minutes using the standard GPU provided by Elekta hardware. Conclusion The IROC “Breast Test Case” ACE commissioning was a straightforward procedure and easy installation. Total commissioning time was less than an hour. The ACE calculated dose relative to the TG-43 calculated dose in the selected patient case was consistently lower for all dosimetric parameters. This algorithm offers a more accurate reconstruction of the dose distribution (by comparison to Monte Carlo, per UN35). The highest percent differences in dose calculation were found in the PTV_eval and skin region for this case. This study provides a framework for future studies of ACE dosimetric impact for breast cancer brachytherapy, and more breast cancer patient plans will be analyzed with summary statistics reported. This will be a particularly useful framework when correlating lower skin dose estimate with cosmetic outcomes. To commission and retrospectively compare dosimetry of Elekta's Advanced Collapsed Cone Engine (ACE) calculation algorithm with the standard TG 43-based dose formalism on an IPSA-optimized and CT-based HDR clinical breast plan. At our institution, we commissioned ACE for HDR brachytherapy using the “Breast Test Case” data from iroc.mdandderson.org. This used a generic Ir-192 source and was published by the AAPM Working Group on Commissioning of Model-Based Dose Calculation Algorithms in Brachytherapy (UN35). A previous breast cancer case treated with Hologic's Contura multi-catheter HDR applicator was selected from our clinical database to evaluate the ACE dose engine. The Oncentra treatment planning system (v. 4.6) was used in this study. The HDR plan was first calculated with the TG-43 dose formalism and optimized using inverse planning by a simulated annealing algorithm (IPSA). Using the same relative dwell weights provided by IPSA from the TG-43 plan, dose was then recalculated using the ACE algorithm. The ACE calculation used Oncentra's High Accuracy level with a 1.0-mm-cubed dose grid. The planning target volume (PTV) and organs at risk (including regions with significant inhomogeneity) were contoured. Dose Volume Histograms (DVH's) of the PTV_eval and organs at risk were calculated with both TG-43 and ACE dose formalisms for each plan. Absolute and percent differences were also calculated for each metric. As shown in Table 1, the ACE calculated dose relative to the TG-43 calculated dose is consistently lower for all dosimetric parameters. The dose calculation differed by up to 9% or 112 cGy in the selected parameters. See comparison table for more details. The calculation time was 16 minutes using the standard GPU provided by Elekta hardware. The IROC “Breast Test Case” ACE commissioning was a straightforward procedure and easy installation. Total commissioning time was less than an hour. The ACE calculated dose relative to the TG-43 calculated dose in the selected patient case was consistently lower for all dosimetric parameters. This algorithm offers a more accurate reconstruction of the dose distribution (by comparison to Monte Carlo, per UN35). The highest percent differences in dose calculation were found in the PTV_eval and skin region for this case. 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引用次数: 0

摘要

目的在ipsa优化和基于ct的HDR临床乳房计划中,对Elekta的Advanced崩塌锥引擎(ACE)计算算法与基于TG 43的标准剂量形式进行试验和回顾性比较。材料和方法在我们的机构,我们委托ACE使用来自iroc.mdandderson.org的“乳腺测试案例”数据进行HDR近距离治疗。该研究使用了通用的Ir-192来源,并由AAPM近距离治疗中基于模型的剂量计算算法调试工作组(UN35)发表。我们从临床数据库中选择了一位先前使用Hologic的Contura多导管HDR涂抹器治疗的乳腺癌病例来评估ACE剂量引擎。本研究采用Oncentra治疗计划系统(v. 4.6)。首先采用TG-43剂量公式计算HDR计划,然后采用模拟退火算法(IPSA)进行逆向规划优化。使用与TG-43计划相同的IPSA提供的相对驻留权,然后使用ACE算法重新计算剂量。ACE计算使用了Oncentra的高精度水平和1.0 mm立方的剂量网格。规划目标体积(PTV)和有风险的器官(包括明显不均匀的区域)被绘制轮廓。采用TG-43和ACE剂量形式计算各方案PTV_eval和危及器官的剂量体积直方图(DVH)。还计算了每个指标的绝对差异和百分比差异。结果如表1所示,在所有剂量学参数下,ACE计算剂量相对于TG-43计算剂量始终较低。在选定的参数中,剂量计算最多相差9%或112 cGy。参见比较表了解更多细节。使用Elekta硬件提供的标准GPU,计算时间为16分钟。结论IROC“乳房试验箱”ACE调试程序简单,安装方便。总调试时间不到一个小时。在选定的病例中,ACE计算剂量相对于TG-43计算剂量在所有剂量学参数中始终较低。该算法提供了更精确的剂量分布重建(与蒙特卡罗相比,参见UN35)。在该病例中,剂量计算的最大百分比差异发现在PTV_eval和皮肤区域。本研究为进一步研究ACE剂量学对乳腺癌近距离治疗的影响提供了一个框架,并将对更多的乳腺癌患者计划进行汇总统计分析。当将较低的皮肤剂量估计与美容结果相关联时,这将是一个特别有用的框架。在ipsa优化和基于ct的HDR临床乳房计划中,使用Elekta的Advanced崩塌锥引擎(ACE)计算算法与基于TG 43的标准剂量形式进行剂量测定并进行回顾性比较。在我们的机构,我们委托ACE使用来自iroc.mdandderson.org的“乳房测试案例”数据进行HDR近距离治疗。该研究使用了通用的Ir-192来源,并由AAPM近距离治疗中基于模型的剂量计算算法调试工作组(UN35)发表。我们从临床数据库中选择了一位先前使用Hologic的Contura多导管HDR涂抹器治疗的乳腺癌病例来评估ACE剂量引擎。本研究采用Oncentra治疗计划系统(v. 4.6)。首先采用TG-43剂量公式计算HDR计划,然后采用模拟退火算法(IPSA)进行逆向规划优化。使用与TG-43计划相同的IPSA提供的相对驻留权,然后使用ACE算法重新计算剂量。ACE计算使用了Oncentra的高精度水平和1.0 mm立方的剂量网格。规划目标体积(PTV)和有风险的器官(包括明显不均匀的区域)被绘制轮廓。采用TG-43和ACE剂量形式计算各方案PTV_eval和危及器官的剂量体积直方图(DVH)。还计算了每个指标的绝对差异和百分比差异。如表1所示,在所有剂量学参数下,ACE计算剂量相对于TG-43计算剂量始终较低。在选定的参数中,剂量计算最多相差9%或112 cGy。参见比较表了解更多细节。使用Elekta硬件提供的标准GPU,计算时间为16分钟。IROC“乳房测试案例”ACE调试是一个简单的程序和易于安装。总调试时间不到一个小时。在选定的病例中,ACE计算剂量相对于TG-43计算剂量在所有剂量学参数中始终较低。该算法提供了更精确的剂量分布重建(与蒙特卡罗相比,参见UN35)。在该病例中,剂量计算的最大百分比差异发现在PTV_eval和皮肤区域。 目的在ipsa优化和基于ct的HDR临床乳房计划中,对Elekta的Advanced崩塌锥引擎(ACE)计算算法与基于TG 43的标准剂量形式进行试验和回顾性比较。材料和方法在我们的机构,我们委托ACE使用来自iroc.mdandderson.org的“乳腺测试案例”数据进行HDR近距离治疗。该研究使用了通用的Ir-192来源,并由AAPM近距离治疗中基于模型的剂量计算算法调试工作组(UN35)发表。我们从临床数据库中选择了一位先前使用Hologic的Contura多导管HDR涂抹器治疗的乳腺癌病例来评估ACE剂量引擎。本研究采用Oncentra治疗计划系统(v. 4.6)。首先采用TG-43剂量公式计算HDR计划,然后采用模拟退火算法(IPSA)进行逆向规划优化。使用与TG-43计划相同的IPSA提供的相对驻留权,然后使用ACE算法重新计算剂量。ACE计算使用了Oncentra的高精度水平和1.0 mm立方的剂量网格。规划目标体积(PTV)和有风险的器官(包括明显不均匀的区域)被绘制轮廓。采用TG-43和ACE剂量形式计算各方案PTV_eval和危及器官的剂量体积直方图(DVH)。还计算了每个指标的绝对差异和百分比差异。结果如表1所示,在所有剂量学参数下,ACE计算剂量相对于TG-43计算剂量始终较低。在选定的参数中,剂量计算最多相差9%或112 cGy。参见比较表了解更多细节。使用Elekta硬件提供的标准GPU,计算时间为16分钟。结论IROC“乳房试验箱”ACE调试程序简单,安装方便。总调试时间不到一个小时。在选定的病例中,ACE计算剂量相对于TG-43计算剂量在所有剂量学参数中始终较低。该算法提供了更精确的剂量分布重建(与蒙特卡罗相比,参见UN35)。在该病例中,剂量计算的最大百分比差异发现在PTV_eval和皮肤区域。本研究为进一步研究ACE剂量学对乳腺癌近距离治疗的影响提供了一个框架,并将对更多的乳腺癌患者计划进行汇总统计分析。当将较低的皮肤剂量估计与美容结果相关联时,这将是一个特别有用的框架。在ipsa优化和基于ct的HDR临床乳房计划中,使用Elekta的Advanced崩塌锥引擎(ACE)计算算法与基于TG 43的标准剂量形式进行剂量测定并进行回顾性比较。在我们的机构,我们委托ACE使用来自iroc.mdandderson.org的“乳房测试案例”数据进行HDR近距离治疗。该研究使用了通用的Ir-192来源,并由AAPM近距离治疗中基于模型的剂量计算算法调试工作组(UN35)发表。我们从临床数据库中选择了一位先前使用Hologic的Contura多导管HDR涂抹器治疗的乳腺癌病例来评估ACE剂量引擎。本研究采用Oncentra治疗计划系统(v. 4.6)。首先采用TG-43剂量公式计算HDR计划,然后采用模拟退火算法(IPSA)进行逆向规划优化。使用与TG-43计划相同的IPSA提供的相对驻留权,然后使用ACE算法重新计算剂量。ACE计算使用了Oncentra的高精度水平和1.0 mm立方的剂量网格。规划目标体积(PTV)和有风险的器官(包括明显不均匀的区域)被绘制轮廓。采用TG-43和ACE剂量形式计算各方案PTV_eval和危及器官的剂量体积直方图(DVH)。还计算了每个指标的绝对差异和百分比差异。如表1所示,在所有剂量学参数下,ACE计算剂量相对于TG-43计算剂量始终较低。在选定的参数中,剂量计算最多相差9%或112 cGy。参见比较表了解更多细节。使用Elekta硬件提供的标准GPU,计算时间为16分钟。IROC“乳房测试案例”ACE调试是一个简单的程序和易于安装。总调试时间不到一个小时。在选定的病例中,ACE计算剂量相对于TG-43计算剂量在所有剂量学参数中始终较低。该算法提供了更精确的剂量分布重建(与蒙特卡罗相比,参见UN35)。在该病例中,剂量计算的最大百分比差异发现在PTV_eval和皮肤区域。 本研究为进一步研究ACE剂量学对乳腺癌近距离治疗的影响提供了一个框架,并将对更多的乳腺癌患者计划进行汇总统计分析。当将较低的皮肤剂量估计与美容结果相关联时,这将是一个特别有用的框架。
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PO91
Purpose To commission and retrospectively compare dosimetry of Elekta's Advanced Collapsed Cone Engine (ACE) calculation algorithm with the standard TG 43-based dose formalism on an IPSA-optimized and CT-based HDR clinical breast plan. Materials and Methods At our institution, we commissioned ACE for HDR brachytherapy using the “Breast Test Case” data from iroc.mdandderson.org. This used a generic Ir-192 source and was published by the AAPM Working Group on Commissioning of Model-Based Dose Calculation Algorithms in Brachytherapy (UN35). A previous breast cancer case treated with Hologic's Contura multi-catheter HDR applicator was selected from our clinical database to evaluate the ACE dose engine. The Oncentra treatment planning system (v. 4.6) was used in this study. The HDR plan was first calculated with the TG-43 dose formalism and optimized using inverse planning by a simulated annealing algorithm (IPSA). Using the same relative dwell weights provided by IPSA from the TG-43 plan, dose was then recalculated using the ACE algorithm. The ACE calculation used Oncentra's High Accuracy level with a 1.0-mm-cubed dose grid. The planning target volume (PTV) and organs at risk (including regions with significant inhomogeneity) were contoured. Dose Volume Histograms (DVH's) of the PTV_eval and organs at risk were calculated with both TG-43 and ACE dose formalisms for each plan. Absolute and percent differences were also calculated for each metric. Results As shown in Table 1, the ACE calculated dose relative to the TG-43 calculated dose is consistently lower for all dosimetric parameters. The dose calculation differed by up to 9% or 112 cGy in the selected parameters. See comparison table for more details. The calculation time was 16 minutes using the standard GPU provided by Elekta hardware. Conclusion The IROC “Breast Test Case” ACE commissioning was a straightforward procedure and easy installation. Total commissioning time was less than an hour. The ACE calculated dose relative to the TG-43 calculated dose in the selected patient case was consistently lower for all dosimetric parameters. This algorithm offers a more accurate reconstruction of the dose distribution (by comparison to Monte Carlo, per UN35). The highest percent differences in dose calculation were found in the PTV_eval and skin region for this case. This study provides a framework for future studies of ACE dosimetric impact for breast cancer brachytherapy, and more breast cancer patient plans will be analyzed with summary statistics reported. This will be a particularly useful framework when correlating lower skin dose estimate with cosmetic outcomes. To commission and retrospectively compare dosimetry of Elekta's Advanced Collapsed Cone Engine (ACE) calculation algorithm with the standard TG 43-based dose formalism on an IPSA-optimized and CT-based HDR clinical breast plan. At our institution, we commissioned ACE for HDR brachytherapy using the “Breast Test Case” data from iroc.mdandderson.org. This used a generic Ir-192 source and was published by the AAPM Working Group on Commissioning of Model-Based Dose Calculation Algorithms in Brachytherapy (UN35). A previous breast cancer case treated with Hologic's Contura multi-catheter HDR applicator was selected from our clinical database to evaluate the ACE dose engine. The Oncentra treatment planning system (v. 4.6) was used in this study. The HDR plan was first calculated with the TG-43 dose formalism and optimized using inverse planning by a simulated annealing algorithm (IPSA). Using the same relative dwell weights provided by IPSA from the TG-43 plan, dose was then recalculated using the ACE algorithm. The ACE calculation used Oncentra's High Accuracy level with a 1.0-mm-cubed dose grid. The planning target volume (PTV) and organs at risk (including regions with significant inhomogeneity) were contoured. Dose Volume Histograms (DVH's) of the PTV_eval and organs at risk were calculated with both TG-43 and ACE dose formalisms for each plan. Absolute and percent differences were also calculated for each metric. As shown in Table 1, the ACE calculated dose relative to the TG-43 calculated dose is consistently lower for all dosimetric parameters. The dose calculation differed by up to 9% or 112 cGy in the selected parameters. See comparison table for more details. The calculation time was 16 minutes using the standard GPU provided by Elekta hardware. The IROC “Breast Test Case” ACE commissioning was a straightforward procedure and easy installation. Total commissioning time was less than an hour. The ACE calculated dose relative to the TG-43 calculated dose in the selected patient case was consistently lower for all dosimetric parameters. This algorithm offers a more accurate reconstruction of the dose distribution (by comparison to Monte Carlo, per UN35). The highest percent differences in dose calculation were found in the PTV_eval and skin region for this case. This study provides a framework for future studies of ACE dosimetric impact for breast cancer brachytherapy, and more breast cancer patient plans will be analyzed with summary statistics reported. This will be a particularly useful framework when correlating lower skin dose estimate with cosmetic outcomes.
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