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Anterior Chamber Angle Assessment Techniques: A Review
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759936/ https://www.ncbi.nlm.nih.gov/pubmed/33255754 http://dx.doi.org/10.3390/jcm9123814 |
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author | Riva, Ivano Micheletti, Eleonora Oddone, Francesco Bruttini, Carlo Montescani, Silvia De Angelis, Giovanni Rovati, Luigi Weinreb, Robert N. Quaranta, Luciano |
author_facet | Riva, Ivano Micheletti, Eleonora Oddone, Francesco Bruttini, Carlo Montescani, Silvia De Angelis, Giovanni Rovati, Luigi Weinreb, Robert N. Quaranta, Luciano |
author_sort | Riva, Ivano |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7759936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77599362020-12-26 Anterior Chamber Angle Assessment Techniques: A Review Riva, Ivano Micheletti, Eleonora Oddone, Francesco Bruttini, Carlo Montescani, Silvia De Angelis, Giovanni Rovati, Luigi Weinreb, Robert N. Quaranta, Luciano J Clin Med Review 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. MDPI 2020-11-25 /pmc/articles/PMC7759936/ /pubmed/33255754 http://dx.doi.org/10.3390/jcm9123814 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Riva, Ivano Micheletti, Eleonora Oddone, Francesco Bruttini, Carlo Montescani, Silvia De Angelis, Giovanni Rovati, Luigi Weinreb, Robert N. Quaranta, Luciano Anterior Chamber Angle Assessment Techniques: A Review |
title | Anterior Chamber Angle Assessment Techniques: A Review |
title_full | Anterior Chamber Angle Assessment Techniques: A Review |
title_fullStr | Anterior Chamber Angle Assessment Techniques: A Review |
title_full_unstemmed | Anterior Chamber Angle Assessment Techniques: A Review |
title_short | Anterior Chamber Angle Assessment Techniques: A Review |
title_sort | anterior chamber angle assessment techniques: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759936/ https://www.ncbi.nlm.nih.gov/pubmed/33255754 http://dx.doi.org/10.3390/jcm9123814 |
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