Retinal Detachment associated with Optic Nerve Anomalies: Clinical Features, Pathogenesis, Management

Güncel Retina Dergisi (Current Retina Journal) ◽

10.37783/crj-0218 ◽

2020 ◽

pp. 185-192

Keyword(s):

Optic Nerve ◽

Retinal Detachment ◽

Visual Impairment ◽

Optic Disc ◽

Clinical Features ◽

Optic Nerve Head ◽

Congenital Anomalies ◽

Morning Glory ◽

Optic Disk ◽

Morning Glory Disc Anomaly

Congenital anomalies of the optic nerve head are a group of structural malformations of the optic nerve head and surrounding tissues, which may cause visual impairment. Retinal detachment commonly occurs in association with congenital anomalies of the optic disc, including morning glory disc anomaly, optic disc pit, optic disc coloboma, peripapillary staphyloma, and Aicardi syndrome. Notably, visual impairment and retinal detachment may not be the only problem in these patients, some of these entities will be related to neurologic and systemic features, which sometimes may be life-threatening. This review presents an overview of the clinical features of these optic disk anomalies and current therapeutic approaches for the treatment of retinal detachment associated with them.

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Optic nerve head drusen in an eye with morning glory disc anomaly

Graefe s Archive for Clinical and Experimental Ophthalmology ◽

10.1007/s00417-011-1742-5 ◽

2011 ◽

Vol 250 (7) ◽

pp. 1111-1112 ◽

Cited By ~ 1

Author(s):

Rajeev Kumar Reddy ◽

Padmaja Meenakshi Sundaram ◽

Sarita Shetty ◽

Nikhil S. Choudhari

Keyword(s):

Optic Nerve ◽

Optic Nerve Head ◽

Morning Glory ◽

Morning Glory Disc Anomaly ◽

Optic Nerve Head Drusen

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Familial Cavitary Optic Disk Anomalies: Clinical Features of a Large Family with Examples of Progressive Optic Nerve Head Cupping

American Journal of Ophthalmology ◽

10.1016/j.ajo.2007.01.029 ◽

2007 ◽

Vol 143 (5) ◽

pp. 788-794.e1 ◽

Cited By ~ 14

Author(s):

Robert A. Honkanen ◽

Lee M. Jampol ◽

John H. Fingert ◽

Michael D. Moore ◽

Christine M. Taylor ◽

...

Keyword(s):

Optic Nerve ◽

Clinical Features ◽

Optic Nerve Head ◽

Large Family ◽

Optic Disk

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Comparison of Structural Defects between Optic Disc and Ganglion Cell Complex in Patients with Glaucoma

Ophthalmology Research An International Journal ◽

10.9734/or/2019/v10i430114 ◽

2019 ◽

pp. 1-7

Author(s):

Ilias Georgalas ◽

Sergios Taliantzis ◽

Maria Kazaki ◽

Eva Papaconstantinou ◽

Elina Panagiotopoulou ◽

...

Keyword(s):

Optic Nerve ◽

Ganglion Cell ◽

Optic Disc ◽

Optic Nerve Head ◽

Cell Complex ◽

The Other ◽

Optic Disk ◽

Structural Defects ◽

Ganglion Cell Complex ◽

Glaucomatous Damage

Purpose: To evaluate the agreement of glaucomatous structural defects of the ganglion cell complex (GCC) detected with the spectral domain optical coherence tomography (sdOCT) with the optic nerve head alterations detected with the Heidelberg retina tomography (HRT), of glaucoma patients with ocular hypertension or open angle glaucoma. Material and Methods: Ninety patients eyes with structural glaucomatous defects were enrolled. All of them underwent imaging examination of GCC with sdOCT and the optic disk with HRT. The Cohen's kappa coefficient of agreement was used. Results: The agreement between the optic disc and GCC using the parameters of the programs analysis of the HRT, the moorfields regression analysis (MRA) and glaucoma probability score (GPS) was not significant. Instead between MRA and GPS a good agreement was calculated. Significant agreements were found between MRA and GPS on one hand and GCC on the other, considering location and length of the glaucomatous damage, while non significant agreements were found between GPS and GCC for the location and the length of the glaucomatous structural defect. Conclusions: There is no significance (Please explain further if you are referring to significance in terms of the difference, similarity or agreement) between HRT and sdOCT for the detection of the glaucomatous damage between the optic nerve head and the ganglion cell complex. Instead MRA and GCC detect comparable areas and lengths of the glaucomatous damage. On the other hand GPS records larger deficits relative to MRA and has not a significant agreement with the study of GCC.

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Two-Stage Mask-RCNN Approach for Detecting and Segmenting the Optic Nerve Head, Optic Disc, and Optic Cup in Fundus Images

Applied Sciences ◽

10.3390/app10113833 ◽

2020 ◽

Vol 10 (11) ◽

pp. 3833 ◽

Cited By ~ 3

Author(s):

Haidar Almubarak ◽

Yakoub Bazi ◽

Naif Alajlan

Keyword(s):

Optic Nerve ◽

Optic Disc ◽

Optic Nerve Head ◽

Fine Tuning ◽

Fundus Images ◽

Two Stage ◽

Second Stage ◽

Retinal Fundus Images ◽

Tuning Strategy ◽

Retinal Fundus

In this paper, we propose a method for localizing the optic nerve head and segmenting the optic disc/cup in retinal fundus images. The approach is based on a simple two-stage Mask-RCNN compared to sophisticated methods that represent the state-of-the-art in the literature. In the first stage, we detect and crop around the optic nerve head then feed the cropped image as input for the second stage. The second stage network is trained using a weighted loss to produce the final segmentation. To further improve the detection in the first stage, we propose a new fine-tuning strategy by combining the cropping output of the first stage with the original training image to train a new detection network using different scales for the region proposal network anchors. We evaluate the method on Retinal Fundus Images for Glaucoma Analysis (REFUGE), Magrabi, and MESSIDOR datasets. We used the REFUGE training subset to train the models in the proposed method. Our method achieved 0.0430 mean absolute error in the vertical cup-to-disc ratio (MAE vCDR) on the REFUGE test set compared to 0.0414 obtained using complex and multiple ensemble networks methods. The models trained with the proposed method transfer well to datasets outside REFUGE, achieving a MAE vCDR of 0.0785 and 0.077 on MESSIDOR and Magrabi datasets, respectively, without being retrained. In terms of detection accuracy, the proposed new fine-tuning strategy improved the detection rate from 96.7% to 98.04% on MESSIDOR and from 93.6% to 100% on Magrabi datasets compared to the reported detection rates in the literature.

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