Interactive visual guidance for automated stereotactic radiosurgery treatment planning

被引:6
|
作者
Ripsman, Danielle A. [1 ]
Aleman, Dionne M. [1 ,2 ,3 ]
Ghobadi, Kimia [1 ]
机构
[1] Univ Toronto, Dept Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
[2] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON M5T 3M6, Canada
[3] Univ Hlth Network, Techna Inst, Toronto, ON M5G 2M9, Canada
基金
加拿大自然科学与工程研究理事会; 加拿大创新基金会;
关键词
Graphical user interface; Radiation therapy; Decision support; Expert systems; Treatment planning; Multi-objective parameter estimation; DECISION-SUPPORT; OPTIMIZATION; PLANS;
D O I
10.1016/j.eswa.2015.06.028
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The growing technology industry has led to the steady enhancement of expert systems, often at the cost of increased complexity for the systems' end users. Efforts to improve the prescriptive elements of systems, however, often prove unsuccessful, since the nature of complex and high-dimensional decision problems is difficult to capture precisely by models and algorithms. To rectify this deficiency, complementary softwares may be used to accept decision-making input from users. In this paper, we introduce a graphical interface-based multi-criteria decision support system for designing radiation therapy treatment plans. While many automated strategies for treatment plan generation exist in the literature, they often require a large amount of iteration and a priori decision-making in practice, so much of the planning is done manually. Our interface, morDiRECT (the Medical Operations Research Laboratory's Display for Ranking and Evaluating Customized Treatments) uses the variability associated with the planning parameters to generate diverse plan sets automatically, creating a comprehensive and visible decision space for users. We demonstrate morDiRECT's generation process, built-in analytical tooling and graphical display using four clinical case studies. In three cases, we find plans that fully dominate the benchmark forward plans, as well as additional plans that possess potentially desirable tradeoffs for all cases. Our results demonstrate that with relatively little upfront effort, users can pre-generate and choose from a diverse set of clinically acceptable plans, leading to reliable treatments for head-and-neck patients. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:8337 / 8348
页数:12
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