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2 型糖尿病伴与不伴糖尿病周围神经病变患者角膜神经纤维的定量分析:手动评估与自动评估的比较。

Quantitative analysis of corneal nerve fibers in type 2 diabetics with and without diabetic peripheral neuropathy: Comparison of manual and automated assessments.

机构信息

Department of Endocrinology, Shanghai Jing'an District Central Hospital, Fudan University, Shanghai 200040, China.

Department of Endocrinology, Shanghai Gonghui Hospital, Shanghai 200040, China.

出版信息

Diabetes Res Clin Pract. 2019 May;151:33-38. doi: 10.1016/j.diabres.2019.03.039. Epub 2019 Mar 30.

Abstract

AIMS

To examine and compare fully-automated and manually measured corneal nerve fiber parameters in type 2 diabetes mellitus (T2DM) patients with and without diabetic peripheral neuropathy (DPN).

METHODS

A total of 128 T2DM subjects and 24 healthy controls underwent neuropathy assessment and bilateral corneal confocal microscopy (CCM). Five representative nerve fiber images were selected for each participant and analyzed manually and with fully-automated software. Corneal nerve fiber length (CNFL), branch density (CNBD), and fiber density (CNFD) were examined.

RESULTS

Manual and full-automated methods for the whole cohort were significantly positive correlated for CNFL, CNBD and CNFD (r = 0.818, 0.845, 0.457, all P < 0.001). Analysis of agreement between the two measurements using Bland-Altman method showed a bias of 2.05 mm/mm (95% limits of agreement: -2.03 mm/mm, 6.13 mm/mm), 1.62 no./mm (95% limits of agreement: -17.92 no./mm, 21.17 no./mm), and 16.0 no./mm (95% limits of agreement: -0.14 no./mm, 32.14 no./mm) for CNFL, CNBD and CNFD respectively. A progressive decrease in manual and full-automated CNFL, CNBD and CNFD accompanied with the occurrence of DPN, The fully-automated method slightly underestimated corneal nerve fiber parameters.

CONCLUSIONS

This study demonstrated strong correlations between manual and fully-automated CNFL and CNBD, but not CNFD. Fully-automated corneal nerve fiber parameter quantification may be a fast, objective way to detect DPN.

摘要

目的

检查和比较 2 型糖尿病(T2DM)患者中伴有和不伴有糖尿病周围神经病变(DPN)的全自动和手动测量角膜神经纤维参数。

方法

共纳入 128 例 T2DM 患者和 24 名健康对照者进行神经病变评估和双侧角膜共聚焦显微镜(CCM)检查。为每位参与者选择 5 个代表性的神经纤维图像,分别进行手动和全自动分析。检查角膜神经纤维长度(CNFL)、分支密度(CNBD)和纤维密度(CNFD)。

结果

整个队列的手动和全自动方法在 CNFL、CNBD 和 CNFD 方面均呈显著正相关(r=0.818、0.845、0.457,均 P<0.001)。使用 Bland-Altman 方法分析两种测量方法之间的一致性显示,偏差为 2.05mm/mm(95%一致性界限:-2.03mm/mm,6.13mm/mm)、1.62 个/mm(95%一致性界限:-17.92 个/mm,21.17 个/mm)和 16.0 个/mm(95%一致性界限:-0.14 个/mm,32.14 个/mm),分别用于 CNFL、CNBD 和 CNFD。随着 DPN 的发生,手动和全自动 CNFL、CNBD 和 CNFD 逐渐降低,全自动方法略低估了角膜神经纤维参数。

结论

本研究表明手动和全自动 CNFL 和 CNBD 之间具有较强的相关性,但 CNFD 没有。全自动角膜神经纤维参数定量可能是一种快速、客观的检测 DPN 的方法。

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