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Automated planning through robust templates and multicriterial optimization for lung VMAT SBRT of lung lesions.
Journal of Applied Clinical Medical Physics ( IF 2.0 ) Pub Date : 2020-04-10 , DOI: 10.1002/acm2.12872 Livia Marrazzo 1 , Chiara Arilli 1 , Roberto Pellegrini 2 , Pierluigi Bonomo 3 , Silvia Calusi 4 , Cinzia Talamonti 1, 4 , Marta Casati 1 , Antonella Compagnucci 1 , Lorenzo Livi 3, 4 , Stefania Pallotta 1, 4
Journal of Applied Clinical Medical Physics ( IF 2.0 ) Pub Date : 2020-04-10 , DOI: 10.1002/acm2.12872 Livia Marrazzo 1 , Chiara Arilli 1 , Roberto Pellegrini 2 , Pierluigi Bonomo 3 , Silvia Calusi 4 , Cinzia Talamonti 1, 4 , Marta Casati 1 , Antonella Compagnucci 1 , Lorenzo Livi 3, 4 , Stefania Pallotta 1, 4
Affiliation
To develop and validate a robust template for VMAT SBRT of lung lesions, using the multicriterial optimization (MCO) of a commercial treatment planning system.
中文翻译:
通过健壮的模板和针对肺部病变的肺VMAT SBRT的多标准优化实现自动计划。
使用商业治疗计划系统的多标准优化(MCO),开发和验证用于肺部病变VMAT SBRT的可靠模板。
更新日期:2020-04-10
中文翻译:
通过健壮的模板和针对肺部病变的肺VMAT SBRT的多标准优化实现自动计划。
使用商业治疗计划系统的多标准优化(MCO),开发和验证用于肺部病变VMAT SBRT的可靠模板。