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对临床治疗未来具有重要意义的非临床研究领域:探索牙科中的非线性概念。

Nonclinical research areas of future importance for clinical therapies: Exploring the concepts of nonlinearity in dentistry.

作者信息

Jalali Poorya, Hasselgren Gunnar

机构信息

Department of Endodontics, Texas A&M College of Dentistry, Dallas, TX, USA.

Division of Endodontics, Columbia University College of Dental Medicine, New York, NY, USA.

出版信息

J Conserv Dent. 2021 Jan-Feb;24(1):10-14. doi: 10.4103/jcd.jcd_640_20. Epub 2021 Jul 5.

Abstract

Linear system analysis has been dominating medical and dental research, and most of the research achievements in these fields have come from applying a reductionist view of nature. However, biologic systems are fundamentally nonlinear with highly composite dynamics made up of numerous interacting elements and feedback loops, therefore studying them as linear models may not result in an accurate representation of their true features. The authors reviewed and utilized some of the principles of chaos and nonlinearity and extended them to clinical dentistry, from cracked tooth and flare-up after root canal procedures to the outcome of clinical treatments. Utilization of the concepts of chaos and sensitive dependence on initial conditions, and the concepts of self-organization, stigmergy, and fractals may help us to understand some of the puzzles that have not been solved by conventional linear models. The goal of this paper is to present some areas within nonclinical research that we believe will have important roles in the development of future clinical examination methods and therapies.

摘要

线性系统分析一直主导着医学和牙科研究,这些领域的大多数研究成果都来自于应用还原论的自然观。然而,生物系统本质上是非线性的,具有由众多相互作用的元素和反馈回路组成的高度复杂的动力学,因此将它们作为线性模型进行研究可能无法准确呈现其真实特征。作者回顾并运用了一些混沌和非线性原理,并将其扩展到临床牙科领域,从根管治疗后的牙齿劈裂和炎症发作到临床治疗结果。利用混沌概念、对初始条件的敏感依赖性以及自组织、 stigmergy和分形概念,可能有助于我们理解一些传统线性模型尚未解决的难题。本文的目的是介绍非临床研究中的一些领域,我们认为这些领域将在未来临床检查方法和治疗方法的发展中发挥重要作用。

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