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什么是典型的视神经乳头?

What is a typical optic nerve head?

作者信息

Voorhees A P, Grimm J L, Bilonick R A, Kagemann L, Ishikawa H, Schuman J S, Wollstein G, Sigal I A

机构信息

Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.

出版信息

Exp Eye Res. 2016 Aug;149:40-47. doi: 10.1016/j.exer.2016.06.012. Epub 2016 Jun 23.

Abstract

Whereas it is known that elevated intraocular pressure (IOP) increases the risk of glaucoma, it is not known why optic nerve heads (ONHs) vary so much in sensitivity to IOP and how this sensitivity depends on the characteristics of the ONH such as tissue mechanical properties and geometry. It is often assumed that ONHs with uncommon or atypical sensitivity to IOP, high sensitivity in normal tension glaucoma or high robustness in ocular hypertension, also have atypical ONH characteristics. Here we address two specific questions quantitatively: Do atypical ONH characteristics necessarily lead to atypical biomechanical responses to elevated IOP? And, do typical biomechanical responses necessarily come from ONHs with typical characteristics. We generated 100,000 ONH numerical models with randomly selected values for the characteristics, all falling within literature ranges of normal ONHs. The models were solved to predict their biomechanical response to an increase in IOP. We classified ONH characteristics and biomechanical responses into typical or atypical using a percentile-based threshold, and calculated the fraction of ONHs for which the answers to the two questions were true and/or false. We then studied the effects of varying the percentile threshold. We found that when we classified the extreme 5% of individual ONH characteristics or responses as atypical, only 28% of ONHs with an atypical characteristic had an atypical response. Further, almost 29% of typical responses came from ONHs with at least one atypical characteristic. Thus, the answer to both questions is no. This answer held irrespective of the threshold for classifying typical or atypical. Our results challenge the assumption that ONHs with atypical sensitivity to IOP must have atypical characteristics. This finding suggests that the traditional approach of identifying risk factors by comparing characteristics between patient groups (e.g. ocular hypertensive vs. primary open angle glaucoma) may not be a sound strategy.

摘要

虽然已知眼内压(IOP)升高会增加患青光眼的风险,但尚不清楚为什么视神经乳头(ONH)对IOP的敏感性差异如此之大,以及这种敏感性如何取决于ONH的特征,如组织力学性能和几何形状。人们通常认为,对IOP具有不常见或非典型敏感性的ONH,即正常眼压性青光眼中的高敏感性或高眼压症中的高稳健性,也具有非典型的ONH特征。在这里,我们定量地解决两个具体问题:非典型的ONH特征是否必然导致对IOP升高的非典型生物力学反应?以及,典型的生物力学反应是否必然来自具有典型特征的ONH?我们生成了100,000个ONH数值模型,其特征值是随机选择的,均落在正常ONH的文献范围内。求解这些模型以预测它们对IOP升高的生物力学反应。我们使用基于百分位数的阈值将ONH特征和生物力学反应分类为典型或非典型,并计算对这两个问题的答案为真和/或假的ONH的比例。然后我们研究了改变百分位数阈值的影响。我们发现,当我们将极端5%的个体ONH特征或反应分类为非典型时,只有28%具有非典型特征的ONH有非典型反应。此外,几乎29%的典型反应来自至少具有一个非典型特征的ONH。因此,这两个问题的答案都是否定的。无论用于分类典型或非典型的阈值如何,这个答案都成立。我们的结果挑战了这样一种假设,即对IOP具有非典型敏感性的ONH必然具有非典型特征。这一发现表明,通过比较患者组之间的特征(例如高眼压症患者与原发性开角型青光眼患者)来识别风险因素的传统方法可能不是一个可靠的策略。

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