Jain N L, Kahn M G
Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110.
Proc Annu Symp Comput Appl Med Care. 1993:134-8.
The evaluation of radiation treatment plans involves making trade-offs among doses delivered to the tumor volumes and nearby normal tissues. Evaluating state-of-the-art three-dimensional (3D) plans is a difficult task because of the huge amount of planning data that needs to be deciphered. Multiattribute utility theory provides a methodology for specifying trade-offs and selecting the optimal plan from many competing plans. Using multiattribute utility theory, we are developing a clinically meaningful objective plan-evaluation model for 3D radiation treatment plans. Our model incorporates three of the factors involved in radiation treatment evaluation--treatment preferences of the radiation oncologist, clinical condition of the patient, and complexity of the treatment plan.
放射治疗计划的评估涉及在给予肿瘤体积和附近正常组织的剂量之间进行权衡。评估先进的三维(3D)计划是一项艰巨的任务,因为需要解读大量的计划数据。多属性效用理论提供了一种确定权衡并从众多竞争计划中选择最优计划的方法。利用多属性效用理论,我们正在为3D放射治疗计划开发一种具有临床意义的客观计划评估模型。我们的模型纳入了放射治疗评估中涉及的三个因素——放射肿瘤学家的治疗偏好、患者的临床状况以及治疗计划的复杂性。