Effect of macular hole volume on postoperative central macular thickness

Öztürk, Taylan; Karahan, Eyyüp; Er, Duygu; Kaya, Mahmut; Koçak, Nilüfer; Kaynak, Süleyman

doi:10.5935/0004-2749.20160043

Cited by 5 publications

(9 citation statements)

References 15 publications

(21 reference statements)

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“…[110] Preoperative SD-OCT parameters allowed better estimation of postoperative visual function;[111314] however, there was limited information for correlation of volumetric features and functional success. [18192023]…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Preoperative prognostic factors for macular hole surgery: Which is better?

Unsal¹,

Çubuk²,

Ciftci³

2019

Oman J Ophthalmol

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AIM:This study aims to evaluate the prognostic factors of different optical coherence tomography (OCT) parameters as well as the tamponade used in surgery, on postoperative anatomical and functional success.METHODS:Twenty-nine eyes of 27 patients were included in this study. A three-port 23-gauge pars plana vitrectomy was performed on all eyes with peeling of the internal limiting membrane by visualization with brilliant blue dye by the same surgeon (E.U). Apical diameter (AD), base diameter (BD), and height (H) were manually measured by the same retina specialist (E.U) with using the software on OCT machine. Macular hole index (MHI), tractional hole index, diameter hole index, and macular hole volume (MHV) were calculated. The correlation between predictive factors and postoperative best corrected visual acuity (BCVA) was evaluated.RESULTS:A statistically significant positive correlation was observed between preoperative BCVA, AD, BD, MHV, and postoperative BCVA scores. A statistically significant negative correlation was observed between preoperative MHI and postoperative BCVA scores (r = −0.676, P = 0.001). The strongest positive correlation was between BD and postoperative BCVA (logMAR) (r = 0.732, P = 0.001). The visual improvement was statistically better in patients treated with C3F8 than SF6.CONCLUSION:BD and MHV could be used as a strong predictive OCT parameters of postoperative functional success.

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Section: Discussionmentioning

confidence: 99%

“…[11121314151617] The parameters such as MH index (MHI), tractional hole index (THI), hole form factor (HFF: left arm + right arm/base diameter [BD]), and MH volume (MHV) were used to predict the postoperative visual function. [111213181920]…”

Section: Introductionmentioning

confidence: 99%

Preoperative prognostic factors for macular hole surgery: Which is better?

Unsal¹,

Çubuk²,

Ciftci³

2019

Oman J Ophthalmol

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“…The volume of the hole was calculated using the volume of a truncated cone formula as previously used. 12 Each person's image data set, comprising approximately 49 scans, was exported as a folder of anonymised non-compressed .tiff files with the image information including the X and Y axes pixel to micron conversion ratio.…”

Section: Methodsmentioning

confidence: 99%

“…The volume of the hole was calculated using the volume of a truncated cone formula as previously used. 12 …”

Section: Methodsmentioning

confidence: 99%

Macular hole morphology and measurement using an automated three-dimensional image segmentation algorithm

et al. 2020

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ObjectiveFull-thickness macular holes (MH) are classified principally by size, which is one of the strongest predictors of anatomical and visual success. Using a three-dimensional (3D) automated image processing algorithm, we analysed optical coherence tomography (OCT) images of 104 MH of patients, comparing MH dimensions and morphology with clinician-acquired two-dimensional measurements.Methods and AnalysisAll patients underwent a high-density central horizontal scanning OCT protocol. Two independent clinicians measured the minimum linear diameter (MLD) and maximum base diameter. OCT images were also analysed using an automated 3D segmentation algorithm which produced key parameters including the respective maximum and minimum diameter of the minimum area (MA) of the MH, as well as volume and surface area.ResultsUsing the algorithm-derived values, MH were found to have significant asymmetry in all dimensions. The minima of the MA were typically approximately 90° to the horizontal, and differed from their maxima by 55 μm. The minima of the MA differed from the human-measured MLD by a mean of nearly 50 μm, with significant interobserver variability. The resultant differences led to reclassification using the International Vitreomacular Traction Study Group classification in a quarter of the patients (p=0.07).ConclusionMH are complex shapes with significant asymmetry in all dimensions. We have shown how 3D automated analysis of MH describes their dimensions more accurately and repeatably than human assessment. This could be used in future studies investigating hole progression and outcome to help guide optimum treatments.

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“…To calculate the volume of a macular hole, [17] propose fitting a truncated cone to a 2D view of the macular hole, which fails to capture irregularities and depth information. Alternative 3D methods apply 2D segmentation algorithms to each slice in the 3D geometry [6] and then accumulate the results to provide analysis of macular hole's 3D shape and volume, however the slice-by-slice approach requires verification by a human operator to confirm the segmentation at each slice.…”

Section: B Macular Hole Imagingmentioning

confidence: 99%

Multi-Scale Segmentation and Surface Fitting for Measuring 3-D Macular Holes

Nasrulloh

Willcocks

Jackson

et al. 2018

IEEE Trans. Med. Imaging

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Macular holes are blinding conditions, where a hole develops in the central part of retina, resulting in reduced central vision. The prognosis and treatment options are related to a number of variables, including the macular hole size and shape. High-resolution spectral domain optical coherence tomography allows precise imaging of the macular hole geometry in three dimensions, but the measurement of these by human observers is time-consuming and prone to high inter- and intra-observer variability, being characteristically measured in 2-D rather than 3-D. We introduce several novel techniques to automatically retrieve accurate 3-D measurements of the macular hole, including: surface area, base area, base diameter, top area, top diameter, height, and minimum diameter. Specifically, we introduce a multi-scale 3-D level set segmentation approach based on a state-of-the-art level set method, and we introduce novel curvature-based cutting and 3-D measurement procedures. The algorithm is fully automatic, and we validate our extracted measurements both qualitatively and quantitatively, where our results show the method to be robust across a variety of scenarios. Our automated processes are considered a significant contribution for clinical applications.

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Effect of macular hole volume on postoperative central macular thickness

Cited by 5 publications

References 15 publications

Preoperative prognostic factors for macular hole surgery: Which is better?

Preoperative prognostic factors for macular hole surgery: Which is better?

Macular hole morphology and measurement using an automated three-dimensional image segmentation algorithm

Multi-Scale Segmentation and Surface Fitting for Measuring 3-D Macular Holes

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