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黄斑裂孔闭合速度的预测模型:术中光学相干断层扫描的见解

Predictive Model for Macular Hole Closure Speed: Insights From Intraoperative Optical Coherence Tomography.

作者信息

Ehlers Justis P, Uchida Atsuro, Srivastava Sunil K, Hu Ming

机构信息

The Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advanced Imaging Research, Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.

Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.

出版信息

Transl Vis Sci Technol. 2019 Feb 6;8(1):18. doi: 10.1167/tvst.8.1.18. eCollection 2019 Jan.

Abstract

PURPOSE

To establish a predictive model of macular hole (MH) closure speed.

METHODS

This study was a post hoc analysis of eyes that underwent full-thickness MH repair in the prospective PIONEER intraoperative optical coherence tomography (iOCT) study. The Bioptigen SDOIS system was used for iOCT imaging. All patients underwent standard small-gauge vitrectomy with internal limiting membrane (ILM) peeling, gas tamponade, and postoperative facedown positioning. Before vitrectomy and after ILM peeling, various quantitative OCT measures related to MH were obtained, including MH geometry alterations and outer retinal features. Trans-gas OCT was performed on postoperative day 1 to evaluate MH closure. Univariate and multivariate analyses were conducted to identify predictors of early MH closure (i.e., postoperative day 1 [POD 1] closure).

RESULTS

Thirty-two (86%) out of 37 eyes were confirmed for MH closure at POD 1. At 3 months, MH closure was achieved in 35 (95%) eyes. After multivariate logistic regression analyses, seven covariates were determined as predictors for MH closure. These seven covariates included age, ellipsoid zone-retinal pigment epithelium expansion following ILM peel, preincision minimal width, post-ILM peel MH depth, change in MH volume, change in minimum MH width, and change in MH depth. Using these seven covariates, the area under the curve was 0.974. Cross-validation analysis indicated that intraoperative change in MH volume, intraoperative change in minimal width, and preincision minimal width were the most robust predictors for early MH.

CONCLUSIONS

This study suggests that iOCT may be important in predicting MH closure speed and may be a surrogate for tissue properties/behavior. A future prospective clinical trial is needed to validate this model.

TRANSLATIONAL RELEVANCE

This study provides unique insights into the potential role of iOCT imaging in predicting retinal tissue behavior during MH repair.

摘要

目的

建立黄斑裂孔(MH)闭合速度的预测模型。

方法

本研究是对前瞻性先锋术中光学相干断层扫描(iOCT)研究中接受全层MH修复的眼睛进行的事后分析。使用Bioptigen SDOIS系统进行iOCT成像。所有患者均接受标准的小切口玻璃体切除术,包括内界膜(ILM)剥除、气体填塞和术后俯卧位。在玻璃体切除术之前和ILM剥除之后,获取了与MH相关的各种定量OCT测量值,包括MH几何形状改变和视网膜外层特征。术后第1天进行经气体OCT检查以评估MH闭合情况。进行单因素和多因素分析以确定早期MH闭合(即术后第1天[POD 1]闭合)的预测因素。

结果

37只眼中有32只(86%)在POD 1时被证实MH闭合。在3个月时,35只(95%)眼实现了MH闭合。经过多因素逻辑回归分析,确定了七个协变量作为MH闭合的预测因素。这七个协变量包括年龄、ILM剥除后椭圆体带-视网膜色素上皮扩展、切口前最小宽度、ILM剥除后MH深度、MH体积变化、最小MH宽度变化和MH深度变化。使用这七个协变量,曲线下面积为0.974。交叉验证分析表明,术中MH体积变化、术中最小宽度变化和切口前最小宽度是早期MH最可靠的预测因素。

结论

本研究表明,iOCT在预测MH闭合速度方面可能很重要,并且可能是组织特性/行为的替代指标。未来需要进行前瞻性临床试验来验证该模型。

转化相关性

本研究为iOCT成像在预测MH修复过程中视网膜组织行为的潜在作用提供了独特见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ceb/6366005/365c36773f5c/i2164-2591-8-1-18-f01.jpg

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