Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Aug 18;10(8):1255-1260.
doi: 10.18240/ijo.2017.08.12. eCollection 2017.

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

Xing-Yun Geng  1   2 , Hui-Qun Wu  2 , Jie-Hui Jiang  1 , Kui Jiang  2 , Jun Zhu  3 , Yi Xu  3 , Jian-Cheng Dong  2 , Zhuang-Zhi Yan  1
Affiliations

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

Xing-Yun Geng et al. Int J Ophthalmol. .

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.

Keywords: idiopathic macular hole; morphological features; optical coherent imaging; prognostic evaluation.

PubMed Disclaimer

Figures

Figure 1
Figure 1. The two-dimensional parameters
A: A real OCT image slices; B: The corresponding measurement simplified diagram.
Figure 2
Figure 2. Reconstruction experiment screenshots
A: OCT image; B: Fundus image; C: Slice images; D: Zone of MH on the fundus image; E: Zone of MH on the slice image; F: boundary of the MH (red); G: 3D points picture of MH; H: Reconstruction of 3D structure of MH.
Figure 3
Figure 3. The three-dimensional parameters
A: A real MH 3D reconstruction image; B: Measuring the corresponding area and volume.
Figure 4
Figure 4. ROC curves
A: Positive correlation parameters; B: Negative correlation parameters.
See this image and copyright information in PMC

References

    1. Ruiz-Moreno JM, Staicu C, Piñero DP, Montero J, Lugo F, Amat P. Optical coherence tomography predictive factors for macular hole surgery outcome. Br J Ophthalmol. 2008;92(5):640–644. - PubMed
    1. Puliafito CA, Hee MR, Lin CP, Reichel E, Schuman JS, Duker JS, Izatt JA, Swanson EA, Fujimoto JG. Imaging of macular diseases with optical coherence tomography. Ophthalmology. 1995;102(2):217–229. - PubMed
    1. Nukada K, Hangai M, Ooto S, Yoshikawa M, Yoshimura N. Tomographic features of macula after successful macular hole surgery. Invest Ophthalmol Vis Sci. 2013;54(4):2417–2428. - PubMed
    1. Kusuhara S, Negi A. Predicting visual outcome following surgery for idiopathic macular holes. Ophthalmologica. 2014;231(3):125–132. - PubMed
    1. Chen H, Chen W, Zheng K, Peng K, Xia H, Zhu L. Prediction of spontaneous closure of traumatic macular hole with spectral domain optical coherence tomography. Sci Rep. 2015;5:12343. - PMC - PubMed