Case-based approach to managing angle closure glaucoma with anterior segment imaging

2014 ◽  
Vol 49 (6) ◽  
pp. 512-518 ◽  
Author(s):  
Hannah Rosenblum ◽  
Nathan Radcliffe
Keyword(s):  
Anterior Segment ◽  
Angle Closure Glaucoma ◽  
Angle Closure ◽  
Anterior Segment Imaging ◽  
Case Based

scholarly journals Anterior segment imaging-based subdivision of subjects with primary angle-closure glaucoma

Eye ◽  
2016 ◽  
Vol 31 (4) ◽  
pp. 572-577 ◽  
Author(s):  
M E Nongpiur ◽  
E Atalay ◽  
T Gong ◽  
M Loh ◽  
H K Lee ◽  
...  
Keyword(s):  
Anterior Segment ◽  
Angle Closure Glaucoma ◽  
Angle Closure ◽  
Primary Angle Closure ◽  
Primary Angle Closure Glaucoma ◽  
Anterior Segment Imaging

scholarly journals Anterior Segment Imaging – Anterior Chamber Angle Assessment

2010 ◽  
Vol 04 (01) ◽  
pp. 60
Author(s):  
Lisandro Sakata ◽  
Kenji Sakata ◽  
◽  
Keyword(s):  
Anterior Chamber ◽  
Clinical Decision Making ◽  
Anterior Segment ◽  
Clinical Decision ◽  
Ultrasound Biomicroscopy ◽  
Angle Closure Glaucoma ◽  
Angle Closure ◽  
Decision Making Process ◽  
Anterior Chamber Angle ◽  
Anterior Segment Imaging

Angle closure is a visually destructive form of glaucoma that accounts for approximately half of the worldwide blindness caused by this disease. Angle-closure glaucoma tends to occur in anatomically pre-disposed eyes, and the evaluation of the anterior segment morphology may help identify eyes at risk of angle closure. Ultrasound biomicroscopy is one of the devices developed for anterior-segment imaging, and it helped to provide better understanding of the mechanisms of angle closure. Recently, optical coherence tomography (OCT) technology became available for evaluating the anterior segment of the eye, enabling rapid non-contact imaging of the anterior chamber. Interestingly, anterior segment OCT (AS-OCT) technology appears to detect more eyes with angle closure compared with gonioscopy, and further studies should address how anterior segment imaging findings should be incorporated into the clinical decision-making process. In summary, this article reviews most of the previously published papers on the use of anterior segment imaging in angle-closure glaucoma and tackles some relevant points for the interpretation of imaging exams in daily clinical practice.

scholarly journals Etiologies and clinical characteristics of young patients with angle-closure glaucoma: a 15-year single-center retrospective study

2021 ◽  
Author(s):  
Feng Gao ◽  
Jiajian Wang ◽  
Junyi Chen ◽  
Xiaolei Wang ◽  
Yuhong Chen ◽  
...  
Keyword(s):  
Clinical Characteristics ◽  
Anterior Segment ◽  
Young Patients ◽  
Case Series ◽  
Neovascular Glaucoma ◽  
Angle Closure Glaucoma ◽  
Angle Closure ◽  
Primary Angle Closure Glaucoma ◽  
Uncommon Presentation ◽  
Underlying Causes

Abstract Purpose To investigate the etiologies and the clinical characteristics of angle-closure glaucoma (ACG) patients younger than 40 years old in Chinese. Methods Inpatients with diagnosis of ACG and diagnosed age younger than or equal to 40 years old, who were admitted in Eye, Ear, Nose, and Throat Hospital Fudan University from 2002 to 2017, were included in this retrospective non-comparative case series. The underlying causes and clinical features for all the patients were analyzed by comprehensive review of medical charts. Results A total of 298 patients (463 eyes) met the criteria, including 153 females (51.3%) and 145 males (48.7%); the mean age was 25.6 ± 13.0 years. Primary angle-closure glaucoma (PACG), uveitis, and anterior segment dysgenesis (ASD) were the top three etiologies in our patients, which accounted for 32.6%, 20.3%, and 15.1% of the total patients respectively. PACG mainly occurs after 30 years of age and ASD is the top reason of ACG in patients younger than 20 years old. Other known etiologies include iridocorneal endothelial syndrome, neovascular glaucoma, nanophthalmos, retinitis pigmentosa, spherophakia, bestrophinopathy, persistent fetal vasculature, iridociliary cysts, congenital retinoschisis, Marfan’s syndrome, retinopathy of prematurity, familial exudative vitreoretinopathy, congenital retinal folds, Coat’s disease, and neurofibromatosis. Conclusions We described the uncommon presentation of ACG in Chinese young patients. Although unusual, most of the etiologies could be identified. Therefore, more careful and comprehensive examinations are needed for early detection and timely treatment for young ACG patients.

scholarly journals Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images

2020 ◽  
pp. bjophthalmol-2019-315723
Author(s):  
Tan Hung Pham ◽  
Sripad Krishna Devalla ◽  
Aloysius Ang ◽  
Zhi-Da Soh ◽  
Alexandre H Thiery ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Objective Assessment ◽  
Anterior Segment ◽  
Angle Closure Glaucoma ◽  
Training Data ◽  
Angle Closure ◽  
Optical Coherence ◽  
Segmentation Approach ◽  
Reliable Quantification ◽  
The Given

Background/AimsAccurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angle-closure glaucoma.MethodIn this study, we developed a deep convolutional neural network (DCNN) for the localisation of the scleral spur; moreover, we introduced an information-rich segmentation approach for this localisation problem. An ensemble of DCNNs for the segmentation of AS structures (iris, corneosclera shell adn anterior chamber) was developed. Based on the results of two previous processes, an algorithm to automatically quantify clinically important measurements were created. 200 images from 58 patients (100 eyes) were used for testing.ResultsWith limited training data, the DCNN was able to detect the scleral spur on unseen anterior segment optical coherence tomography (ASOCT) images as accurately as an experienced ophthalmologist on the given test dataset and simultaneously isolated the AS structures with a Dice coefficient of 95.7%. We then automatically extracted eight clinically relevant ASOCT measurements and proposed an automated quality check process that asserts the reliability of these measurements. When combined with an OCT machine capable of imaging multiple radial sections, the algorithms can provide a more complete objective assessment. The total segmentation and measurement time for a single scan is less than 2 s.ConclusionThis is an essential step towards providing a robust automated framework for reliable quantification of ASOCT scans, for applications in the diagnosis and management of angle-closure glaucoma.

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