Comparison of Anterior Segment-Optical Coherence Tomography Parameters in Phacomorphic Angle Closure and Acute Angle Closure Eyes

2015 ◽  
Vol 56 (13) ◽  
pp. 7611 ◽  
Author(s):  
Sasan Moghimi ◽  
Farshid Ramezani ◽  
Mingguang He ◽  
Anne L. Coleman ◽  
Shan C. Lin
Keyword(s):  
Optical Coherence Tomography ◽  
Anterior Segment ◽  
Acute Angle ◽  
Angle Closure ◽  
Optical Coherence ◽  
Acute Angle Closure

Acute angle-closure glaucoma with choroidal effusion revealing a hantavirus infection: Description of ultrasound biomicroscopy imagery and optical coherence tomography Visante

2019 ◽  
pp. 112067211985889
Author(s):  
Alexandre Baillieul ◽  
Tich Ludovic Le ◽  
Jean-François Rouland
Keyword(s):  
Optical Coherence Tomography ◽  
Anterior Chamber ◽  
Anterior Segment ◽  
Ultrasound Biomicroscopy ◽  
Acute Angle ◽  
Angle Closure ◽  
Hantavirus Infection ◽  
Optical Coherence ◽  
Blurred Vision ◽  
Ciliochoroidal Effusion

Purpose: To report a case of bilateral angle-closure associated with systemic hantavirus infection. Materials and methods: A 32-year-old Caucasian man was referred with blurred vision, fever, cough, dyspnea and thrombocytopenia. Ophthalmologic examination revealed myopic shift, elevated intraocular pressure (30 mmHg right eye and 24 mmHg left eye), corneal edema, iridocorneal angle closure and shallow anterior chamber. Ciliochoroidal effusion was detected on anterior segment optical coherence tomography and ultrasound biomicroscopy. Serologic test and polymerase chain reaction confirmed the diagnosis of hantavirus infection and the serotype Puumala. On the sixth day after he started topical anti-glaucoma and cycloplegic medications, the anterior chamber and iridocorneal angles were normalized with disappearance of ciliochoroidal effusion. Conclusion: Puumala hantavirus infection is an exceptional cause of acute bilateral angle-closure combined with ciliochoroidal effusion.

scholarly journals The Use of Anterior-Segment Optical-Coherence Tomography for the Assessment of the Iridocorneal Angle and Its Alterations: Update and Current Evidence

2021 ◽  
Vol 10 (2) ◽  
pp. 231
Author(s):  
Giacinto Triolo ◽  
Piero Barboni ◽  
Giacomo Savini ◽  
Francesco De Gaetano ◽  
Gaspare Monaco ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Intraocular Pressure ◽  
Clinical Relevance ◽  
Anterior Segment ◽  
Angle Closure ◽  
Current Evidence ◽  
Optical Coherence ◽  
Iridocorneal Angle ◽  
Wide Range

The introduction of anterior-segment optical-coherence tomography (AS-OCT) has led to improved assessments of the anatomy of the iridocorneal-angle and diagnoses of several mechanisms of angle closure which often result in raised intraocular pressure (IOP). Continuous advancements in AS-OCT technology and software, along with an extensive research in the field, have resulted in a wide range of possible parameters that may be used to diagnose and follow up on patients with this spectrum of diseases. However, the clinical relevance of such variables needs to be explored thoroughly. The aim of the present review is to summarize the current evidence supporting the use of AS-OCT for the diagnosis and follow-up of several iridocorneal-angle and anterior-chamber alterations, focusing on the advantages and downsides of this technology.

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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