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Newer indices for predicting macular hole closure in idiopathic macular holes: A retrospective, comparative study

机译:预测特发性黄斑裂孔黄斑裂孔闭合的新指标:回顾性比较研究

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Purpose: To study the utility and predictive ability of newer macular hole (MH) indices for closure following surgery. Methods: In this retrospective study, pre- and post-operative optical coherence tomography images of 49 eyes with idiopathic full-thickness MH were reviewed and analysed. Various quantitative parameters of MH like maximum outer diameter (OD), minimum diameter between edges, height, nasal and temporal arm lengths, macular hole angle were noted. Indices including hole form factor, Macular Hole Index, (MHI), Diameter Hole Index (DHI) and Tractional Hole Index (THI) were calculated. Newer area indices like macular hole area index (MAI), cystoid space area index (MCSAI) and tissue area index (MTAI) were calculated using Image J (Ver. 1.51). Receiver operating characteristic (ROC) curves and cut-off values were derived for indices predicting type 1 or type 2 closure. Stepwise regression analysis and binary logistic regression analysis were carried out to predict the chances of hole closure. Results: ROC curve analysis showed indices like MHI, THI and MCSAI were capable of successfully predicting type 1 closure while OD, DHI and MAI predicted type 2 closure. On stepwise regression analysis, MAI was identified as the most important index in predicting the type of hole closure. Using the binary logistic regression analysis, the predictive ability of the model to identify success or failure following MH surgery was 89.7% and 80% respectively. Conclusion: MAI measurement could be used as a single important index in predicting hole closure in idiopathic MH. Further research is required to study this area index in detail.
机译:目的:研究新的黄斑裂孔(MH)指数在手术后闭合的实用性和预测能力。方法:在这项回顾性研究中,对49例特发性全层MH眼的术前和术后光学相干断层扫描图像进行了回顾和分析。记录了MH的各种定量参数,例如最大外径(OD),边缘之间的最小直径,高度,鼻和颞臂长度,黄斑孔角。计算了包括孔形状系数,黄斑孔指数(MHI),直径孔指数(DHI)和牵引孔指数(THI)在内的指标。使用Image J(版本1.51)计算了较新的面积指数,如黄斑孔面积指数(MAI),囊样空间面积指数(MCSAI)和组织面积指数(MTAI)。得出接收器工作特性(ROC)曲线和截止值,以预测1型或2型闭合的指标。进行了逐步回归分析和二进制逻辑回归分析,以预测闭孔的机会。结果:ROC曲线分析显示,像MHI,THI和MCSAI这样的指数能够成功预测1型闭合,而OD,DHI和MAI则能够预测2型闭合。在逐步回归分析中,MAI被认为是预测闭孔类型的最重要指标。使用二元logistic回归分析,该模型识别MH手术后成功或失败的预测能力分别为89.7%和80%。结论:MAI测量可作为预测特发性MH闭孔的单个重要指标。需要进一步研究以详细研究该面积指数。

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