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用于预测特发性黄斑裂孔视力预后的面积和体积比

Area and volume ratios for prediction of visual outcome in idiopathic macular hole.

作者信息

Geng Xing-Yun, Wu Hui-Qun, Jiang Jie-Hui, Jiang Kui, Zhu Jun, Xu Yi, Dong Jian-Cheng, Yan Zhuang-Zhi

机构信息

The Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.

Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, Jiangsu Province, China.

出版信息

Int J Ophthalmol. 2017 Aug 18;10(8):1255-1260. doi: 10.18240/ijo.2017.08.12. eCollection 2017.

Abstract

AIM

To predict the visual outcome in patients undergoing macular hole surgery by two novel three-dimensional morphological parameters on optical coherence tomography (OCT): area ratio factor (ARF) and volume ratio factor (VRF).

METHODS

A clinical case series was conducted, including 54 eyes of 54 patients with an idiopathic macular hole (IMH). Each patient had an OCT examination before and after surgery. Morphological parameters of the macular hole, such as minimum diameter, base diameter, and height were measured. Then, the macular hole index (MHI), tractional hole index (THI), and hole form factor (HFF) were calculated. Meanwhile, novel postoperative macular hole (MH) factors, ARF and VRF were calculated by three-dimensional morphology. Bivariate correlations were performed to acquire asymptotic significance values between the steady best corrected visual acuity (BCVA) after surgery and 2D/3D arguments of MH by the Pearson method with two-tailed test. All significant factors were analyzed by the receiver operating characteristic (ROC) curve analysis of SPSS software which were responsible for vision recovery. ROC curves analyses were performed to further discuss the different parameters on the prediction of visual outcome.

RESULTS

The mean and standard deviation values of patients' age, symptoms duration, and follow-up time were 64.8±8.9y (range: 28-81), 18.6±11.5d (range: 2-60), and 11.4±0.4mo (range: 6-24), respectively. Steady-post-BCVA analyzed with bivariate correlations was found to be significantly correlated with base diameter (=0.521, <0.001), minimum diameter (=0.514, <0.001), MHI (=-0.531, <0.001), THI (=-0.386, =0.004), HFF (=-0.508, <0.001), and ARF (=-0.532, <0.001). Other characteristic parameters such as age, duration of surgery, height, diameter hole index, and VRF were not statistically significant with steady-post-BCVA. According to area under the curve (AUC) values, values of ARF, MHI, HFF, minimum diameter, THI, and base diameter are 0.806, 0.772, 0.750, 0.705, 0.690, and 0.686, respectively. However, Steady-post-BCVA analysis with bivariate correlations for VRF was no statistical significance. Results of ROC curve analysis indicated that the MHI value, HFF, and ARF was greater than 0.427, 1.027 and 1.558 respectively which could correlate with better visual acuity.

CONCLUSION

Compared with MHI and HFF, ARF could effectively express three-dimensional characteristics of macular hole and achieve better sensitivity and specificity. Thus, ARF could be the most effective parameter to predict the visual outcome in macular hole surgery.

摘要

目的

通过光学相干断层扫描(OCT)上两个新的三维形态学参数:面积比因子(ARF)和体积比因子(VRF),预测黄斑裂孔手术患者的视力预后。

方法

进行了一项临床病例系列研究,纳入54例特发性黄斑裂孔(IMH)患者的54只眼。每位患者在手术前后均进行了OCT检查。测量黄斑裂孔的形态学参数,如最小直径、基底直径和高度。然后,计算黄斑裂孔指数(MHI)、牵引性裂孔指数(THI)和裂孔形态因子(HFF)。同时,通过三维形态学计算新的术后黄斑裂孔(MH)因子ARF和VRF。采用Pearson方法进行双变量相关性分析,以获得手术稳定后的最佳矫正视力(BCVA)与MH的二维/三维参数之间的渐近显著性值,并进行双侧检验。所有显著因素均通过SPSS软件的受试者工作特征(ROC)曲线分析进行分析,这些因素与视力恢复有关。进行ROC曲线分析以进一步探讨不同参数对视力预后的预测作用。

结果

患者年龄、症状持续时间和随访时间的平均值及标准差分别为64.8±8.9岁(范围:28 - 81岁)、18.6±11.5天(范围:2 - 60天)和11.4±0.4个月(范围:6 - 24个月)。通过双变量相关性分析发现,手术稳定后的BCVA与基底直径(=0.521,<0.001)、最小直径(=0.514,<0.001)、MHI(=-0.531,<0.001)、THI(=-0.386,=0.004)、HFF(=-0.508,<0.001)和ARF(=-0.532,<0.001)显著相关。其他特征参数,如年龄、手术持续时间、高度、裂孔直径指数和VRF,与手术稳定后的BCVA无统计学意义。根据曲线下面积(AUC)值,ARF、MHI、HFF、最小直径、THI和基底直径的值分别为0.806、0.772、0.750、0.705、0.690和0.686。然而,VRF的双变量相关性分析中手术稳定后的BCVA无统计学意义。ROC曲线分析结果表明,MHI值、HFF和ARF分别大于0.427、1.027和1.558时,与更好的视力相关。

结论

与MHI和HFF相比,ARF能有效表达黄斑裂孔的三维特征,具有更好的敏感性和特异性。因此,ARF可能是预测黄斑裂孔手术视力预后的最有效参数。

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