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[放射学中的决策分析]

[Decision analysis in radiology].

作者信息

Janne d'Othée B, Black W C, Pirard S, Zhuang Z, Bettmann M A

机构信息

Beth Israel Deaconess Medical Center, Department of Radiology, West Campus CC 335, 330 Brookline Avenue, Boston, MA 02215-5400, USA.

出版信息

J Radiol. 2001 Dec;82(12 Pt 1):1693-8.

Abstract

Decision analysis is a technique which allows to clarify in an explicit, probabilistic and quantitative way the possible answers to a problem and to help the decision making process. The creation of algorithms, graphically displayed as decision trees in most cases, requires the introduction of quantitative information of two types: probabilities of the events that result from answering to the initial question, and utilities of the possible outcomes of these events. The choice of the optimal solution is based on the calculation of combinations of these data. Although the construction of models can be complex and time-consuming, their practical use has been simplified by the ease and user-friendliness of available softwares. To date, the applications of decision analysis in medicine have focused on cost-effectiveness studies and on the simulation of randomized trials. At the individual level, clinical applications of decision analysis could provide in a near future an interesting tool for the clinician involved in patient management. Even when doubts remain regarding the reliability of the data entered into the model, further sensitivity analysis provide a convenient way to test the validity of the drawn conclusions. This article hopefully offers a simplified and practical approach to basic decision analysis.

摘要

决策分析是一种技术,它能够以明确、概率性和定量的方式阐明问题的可能答案,并有助于决策过程。算法的创建在大多数情况下以决策树的形式直观呈现,这需要引入两类定量信息:回答初始问题所产生事件的概率,以及这些事件可能结果的效用。最优解决方案的选择基于这些数据组合的计算。尽管模型构建可能复杂且耗时,但现有软件的易用性和用户友好性简化了它们的实际应用。迄今为止,决策分析在医学中的应用主要集中在成本效益研究和随机试验模拟方面。在个体层面,决策分析的临床应用在不久的将来可能会为参与患者管理的临床医生提供一个有趣的工具。即使对于输入模型的数据的可靠性仍存疑虑,进一步的敏感性分析也提供了一种检验所得结论有效性的便捷方法。本文希望能为基础决策分析提供一种简化且实用的方法。

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