Ultra-high resolution profiles of macular intra-retinal layer thicknesses and associations with visual field defects in primary open angle glaucoma

Chen, Qi; Huang, Shenghai; Ma, Qingkai; Lin, Huiling; Pan, Mengmeng; Liu, Xinting; Liu, Fan; Shen, Meixiao

doi:10.1038/srep41100

Cited by 25 publications

(22 citation statements)

References 22 publications

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“…As described previously, 16,22 each cross-sectional image that included the retina and choroid was analyzed by one masked reader (YW) to segment the 10 boundaries of the intraretinal layers and the choroidal layer. The segmentation was achieved by a dedicated software program based on the gradient information and shortest path search that was developed in Matlab (The MathWorks, Inc., Natick, MA, USA) for automated image analysis.…”

Section: Oct Procedures and Data Collectionmentioning

confidence: 99%

Characteristics of Retinal Structural and Microvascular Alterations in Early Type 2 Diabetic Patients

Chen

Tan

et al. 2018

Invest. Ophthalmol. Vis. Sci.

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Section: Oct Procedures and Data Collectionmentioning

confidence: 99%

Characteristics of Retinal Structural and Microvascular Alterations in Early Type 2 Diabetic Patients

Chen

Tan

et al. 2018

Invest. Ophthalmol. Vis. Sci.

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“…As described previously [16,23], the magnification of each cross-sectional retinal image was adjusted by the axial length and was then analyzed by one masked reader (YW) to segment the nine boundaries of the intra-retinal layers (Fig. 2a).…”

Section: Quantitative Analysis Of Oct Images Based On Retinal Thicknessmentioning

confidence: 99%

Reduced macular inner retinal thickness and microvascular density in the early stage of patients with dysthyroid optic neuropathy

et al. 2020

Eye and Vis

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Background: The goal was to investigate changes of the inner intra-retinal layer thicknesses and retinal capillary density (RCD) around the macula in thyroid-associated ophthalmopathy (TAO) patients with or without dysthyroid optic neuropathy (DON). Methods: Forty-four TAO patients including 23 non-DON and 21 DON patients, and 38 healthy participants were enrolled. Spectral domain optical coherence tomography equipped with Angiovue was used to obtain threedimensional retinal thickness maps and microvascular images of the superficial and deep retinal capillary layers (SRCL and DRCL, respectively) around the macula. Quantitative analyses were performed using a custom automated algorithm. Results: The thicknesses of the nerve fiber layer, ganglion cell layer + inner plexiform layer, and ganglion cell complex (GCC) as well as the RCDs in the SRCL and DRCL in both TAO groups were significantly decreased compared to the controls. In addition, the RCDs in DRCL of the DON group were further decreased compared to the non-DON group. GCC thickness in both TAO groups was positively correlated with the RCDs of the SRCL in the total annular zone and in the temporal, inferior, and nasal sectors. The areas under the receiver operating characteristic curves for the GCC thickness combined with the RCD were generally larger than those of each single indicator. Conclusions: Thinned inner intra-retinal layers and decreased RCDs in the TAO patients without DON revealed that morphological changes might precede visual dysfunction. The composite index of the retinal structure and the microvascular density might be valuable in the diagnosing, monitoring, and intervention for early DON.

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“…3]. The slab thickness was fixed for all subjects as in Refs [18,32] and was slightly thinner than the value previously reported for the EZ thickness of a population of healthy subjects [33], in order to minimize the effect of outliers. Fig.…”

Section: Identification Of Ez Boundary Location and Generation Of En mentioning

confidence: 99%

Automated detection of photoreceptor disruption in mild diabetic retinopathy on volumetric optical coherence tomography

Wang¹,

Camino²,

Zhang³

et al. 2017

Biomed. Opt. Express

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Diabetic retinopathy is a pathology where microvascular circulation abnormalities ultimately result in photoreceptor disruption and, consequently, permanent loss of vision. Here, we developed a method that automatically detects photoreceptor disruption in mild diabetic retinopathy by mapping ellipsoid zone reflectance abnormalities from en face optical coherence tomography images. The algorithm uses a fuzzy c-means scheme with a redefined membership function to assign a defect severity level on each pixel and generate a probability map of defect category affiliation. A novel scheme of unsupervised clustering optimization allows accurate detection of the affected area. The achieved accuracy, sensitivity and specificity were about 90% on a population of thirteen diseased subjects. This method shows potential for accurate and fast detection of early biomarkers in diabetic retinopathy evolution.

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Ultra-high resolution profiles of macular intra-retinal layer thicknesses and associations with visual field defects in primary open angle glaucoma

Cited by 25 publications

References 22 publications

Characteristics of Retinal Structural and Microvascular Alterations in Early Type 2 Diabetic Patients

Characteristics of Retinal Structural and Microvascular Alterations in Early Type 2 Diabetic Patients

Reduced macular inner retinal thickness and microvascular density in the early stage of patients with dysthyroid optic neuropathy

Automated detection of photoreceptor disruption in mild diabetic retinopathy on volumetric optical coherence tomography

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