scholarly journals Anterior Chamber Angle Assessment Techniques: A Review

2020 ◽  
Vol 9 (12) ◽  
pp. 3814
Author(s):  
Ivano Riva ◽  
Eleonora Micheletti ◽  
Francesco Oddone ◽  
Carlo Bruttini ◽  
Silvia Montescani ◽  
...  

Assessment of the anterior chamber angle (ACA) is an essential part of the ophthalmological examination. It is intrinsically related to the diagnosis and treatment of glaucoma and has a role in its prevention. Although slit-lamp gonioscopy is considered the gold-standard technique for ACA evaluation, its poor reproducibility and the long learning curve are well-known shortcomings. Several new imaging techniques for angle evaluation have been developed in the recent years. However, whether these instruments may replace or not gonioscopy in everyday clinical practice remains unclear. This review summarizes the last findings in ACA evaluation, focusing on new instruments and their application to the clinical practice. Special attention will be given to the comparison between these new techniques and traditional slit-lamp gonioscopy. Whereas ultrasound biomicroscopy and anterior segment optical coherence tomography provide quantitative measurements of the anterior segment’s structures, new gonio-photographic systems allow for a qualitative assessment of angle findings, similarly to gonioscopy. Recently developed deep learning algorithms provide an automated classification of angle images, aiding physicians in taking faster and more efficient decisions. Despite new imaging techniques made analysis of the ACA more objective and practical, the ideal method for ACA evaluation has still to be determined.

Eye ◽  
2009 ◽  
Vol 24 (4) ◽  
pp. 578-587 ◽  
Author(s):  
L M Sakata ◽  
T T L Wong ◽  
H-T Wong ◽  
R S Kumar ◽  
H M Htoon ◽  
...  

2016 ◽  
Vol 57 (2) ◽  
pp. 87-91 ◽  
Author(s):  
Jie Lan ◽  
Dapeng Sun ◽  
Khatoon Alabdulrasool ◽  
Hassan Ebrahim Yusuf ◽  
Lu Zhang

2018 ◽  
Vol 2018 ◽  
pp. 1-4
Author(s):  
Ertuğrul Tan Yassa ◽  
Cihan Ünlü

Purpose. We aimed to investigate whether anterior chamber angle, depth, and volume change after myopic laser-assisted in situ keratomileusis (LASIK) in young patients. Methods. This retrospective study included 29 eyes of 29 patients (15 females and 14 males) between the ages of 18 and 39 years who underwent LASIK for the treatment of myopia. In addition to complete ophthalmic examination, anterior chamber angle (ACA), central anterior chamber depth (ACD), and anterior chamber volume (ACV) were measured by using a Sirius rotating Scheimpflug camera combined with Placido disc corneal topography (CSO, Florence, Italy). Preoperative and postoperative values were compared using paired t-tests. Linear regression was used to evaluate the relationship between changes in refraction and changes in ACA, ACD, and ACV as well as between attempted maximum ablation depth and changes in ACA, ACD, and ACV. Results. The mean age of the study population was 25.5 ± 6.2 years. The mean preoperative and postoperative spherical equivalent values were −3.30 ± 1.92 D and −0.18 ± 0.29 D, respectively. ACV and ACA were not significantly changed after surgery; however, central ACD was significantly decreased (preoperatively = 3.366 ± 0.316 mm vs postoperatively = 3.3 ± 0.298 mm) with a mean difference of 0.066 ± 1.121 mm. There were no significant relationships between changes in refraction and anterior segment dimensions or between attempted maximum ablation depth and anterior segment dimensions. Conclusion. Measurements with Sirius showed that ACA and ACV did not change; however, central ACD significantly decreased after myopic LASIK in young patients, indicating that the preoperative central ACD value should not be used interchangeably with the postoperative central ACD value.


2007 ◽  
Vol 48 (9) ◽  
pp. 4116 ◽  
Author(s):  
Christopher Kai-shun Leung ◽  
Carol Yim Lui Cheung ◽  
Haitao Li ◽  
Syril Dorairaj ◽  
Cedric Ka Fai Yiu ◽  
...  

2017 ◽  
Vol 179 ◽  
pp. 46-54 ◽  
Author(s):  
Shirley H.L. Chang ◽  
Yung-Sung Lee ◽  
Shiu-Chen Wu ◽  
Lai-Chu See ◽  
Chia-Chi Chung ◽  
...  

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