Area and volume ratios for prediction of visual outcome in idiopathic macular hole
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Zhuang-Zhi Yan. The Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China. zzyan@shu.edu.cn; Jian-Cheng Dong. Department of Medical Informatics, Medical School of Nantong University, Nantong 226001, Jiangsu Province, China. dongjc@ntu.edu.cn

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Supported by National Natural Science Foundation of China (No.61675124; No.81501559); Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China (No.15KJB310015); Science and Technology Foundation of Nantong Technology Bureau (No. MS12015180).

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    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 (r=0.521, P<0.001), minimum diameter (r=0.514, P<0.001), MHI (r= -0.531, P<0.001), THI (r=-0.386, P=0.004), HFF (r=-0.508, P<0.001), and ARF (r=-0.532, P<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.

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Xing-Yun Geng, Hui-Qun Wu, Jie-Hui Jiang, et al. Area and volume ratios for prediction of visual outcome in idiopathic macular hole. Int J Ophthalmol, 2017,10(8):1255-1260

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Publication History
  • Received:November 07,2016
  • Revised:April 26,2017
  • Adopted:
  • Online: August 09,2017
  • Published: