Literature DB >> 30322450

Spectral-Domain OCT: Helping the Clinician Diagnose Glaucoma: A Report by the American Academy of Ophthalmology.

Teresa C Chen1, Ambika Hoguet2, Anna K Junk3, Kouros Nouri-Mahdavi4, Sunita Radhakrishnan5, Hana L Takusagawa6, Philip P Chen7.   

Abstract

PURPOSE: To review the current published literature on the use of spectral domain (SD) OCT to help detect changes associated with the diagnosis of glaucoma.
METHODS: Searches of the peer-reviewed literature were conducted on June 11, 2014, November 7, 2016, August 8, 2017, and April 19, 2018, in the PubMed and Cochrane Library databases and included only articles published since the last glaucoma imaging Ophthalmic Technology Assessment, which included articles up until February 2006. The abstracts of these 708 articles were examined to exclude reviews and non-English articles. After inclusion and exclusion criteria were applied, 74 articles were selected, and the panel methodologist (K.N.-M.) assigned ratings to them according to the level of evidence. Two articles were rated level I, 57 articles were rated level II, and the 15 level III articles were excluded.
RESULTS: Spectral-domain OCT is capable of detecting damage to the retinal nerve fiber layer (RNFL), macula, and optic nerve in patients with preperimetric and perimetric glaucoma (level I and II evidence). The most commonly studied single parameter was RNFL thickness. Of note, RNFL thickness measurements are not interchangeable between instruments. Various commercially available SD OCT instruments have similar abilities to distinguish patients with known glaucoma from normal subjects. Despite different software protocols, all SD OCT instruments are able to detect the same typical pattern of glaucomatous RNFL loss that affects primarily the inferior, inferior temporal, superior, and superior temporal regions of the optic nerve (level II evidence). Across many SD OCT instruments, macular imaging also can detect a preferential inferior, inferior temporal, and superior temporal thinning in patients with glaucoma compared with controls. Best disc parameters for detecting glaucomatous nerve damage are global rim area, inferior rim area, and vertical cup-to-disc ratio. Studies suggest that newer reference-plane independent optic nerve parameters may have the same or better detection capability when compared with older reference-plane dependent disc parameters (level II evidence).
CONCLUSIONS: Structural glaucomatous damage can be detected by SD OCT. Optic nerve, RNFL, and macular parameters can help the clinician distinguish the anatomic changes that are associated with patients with glaucoma when compared with normal subjects.
Copyright © 2018 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 30322450     DOI: 10.1016/j.ophtha.2018.05.008

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  31 in total

1.  Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning.

Authors:  Sripad Krishna Devalla; Tan Hung Pham; Satish Kumar Panda; Liang Zhang; Giridhar Subramanian; Anirudh Swaminathan; Chin Zhi Yun; Mohan Rajan; Sujatha Mohan; Ramaswami Krishnadas; Vijayalakshmi Senthil; John Mark S De Leon; Tin A Tun; Ching-Yu Cheng; Leopold Schmetterer; Shamira Perera; Tin Aung; Alexandre H Thiéry; Michaël J A Girard
Journal:  Biomed Opt Express       Date:  2020-10-15       Impact factor: 3.732

2.  A Comparison of OCT Parameters in Identifying Glaucoma Damage in Eyes Suspected of Having Glaucoma.

Authors:  Brian C Stagg; Felipe A Medeiros
Journal:  Ophthalmol Glaucoma       Date:  2019-11-27

3.  Optical coherence tomography evaluation of retinal nerve fiber layer thickness in non-arteritic anterior ischemic optic neuropathy and primary open angle glaucoma: a systematic review and Meta-analysis.

Authors:  Yu-Xin Tong; Xin-Yu Zhang; Yi He; Zong-Lin Chen; Bing Jiang
Journal:  Int J Ophthalmol       Date:  2022-08-18       Impact factor: 1.645

4.  The Prevalence of Autoimmune Diseases in Patients with Primary Open-Angle Glaucoma Undergoing Ophthalmic Surgeries.

Authors:  Maltish M Lorenzo; Julia Devlin; Chhavi Saini; Kin-Sang Cho; Eleftherios I Paschalis; Dong Feng Chen; Rafaella Nascimento E Silva; Sherleen H Chen; Milica A Margeta; Courtney Ondeck; David Solá-Del Valle; James Chodosh; Joseph B Ciolino; Roberto Pineda; Louis R Pasquale; Lucy Q Shen
Journal:  Ophthalmol Glaucoma       Date:  2021-08-18

5.  Long-term PERG monitoring of untreated and treated glaucoma suspects.

Authors:  Phillip S Gordon; Maja Kostic; Pedro F Monsalve; Giacinto Triolo; Luri Golubev; Gabriel Luna; Lori M Ventura; William J Feuer; Vittorio Porciatti
Journal:  Doc Ophthalmol       Date:  2020-03-09       Impact factor: 2.379

Review 6.  Macular imaging with optical coherence tomography in glaucoma.

Authors:  Vahid Mohammadzadeh; Nima Fatehi; Adeleh Yarmohammadi; Ji Woong Lee; Farideh Sharifipour; Ramin Daneshvar; Joseph Caprioli; Kouros Nouri-Mahdavi
Journal:  Surv Ophthalmol       Date:  2020-03-19       Impact factor: 6.048

7.  A Simple Subjective Evaluation of Enface OCT Reflectance Images Distinguishes Glaucoma From Healthy Eyes.

Authors:  Riccardo Cheloni; Simon D Dewsbery; Jonathan Denniss
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

8.  Prospective evaluation of optical coherence tomography for disease detection in the Casey mobile eye clinic.

Authors:  Ou Tan; Aiyin Chen; Yan Li; Steven Bailey; Thomas S Hwang; Andreas K Lauer; Michael F Chiang; David Huang
Journal:  Exp Biol Med (Maywood)       Date:  2021-09-15

9.  Three-Dimensional Optical Coherence Tomography Imaging For Glaucoma Associated With Boston Keratoprosthesis Type I and II.

Authors:  Ziad Khoueir; Firas Jassim; Boy Braaf; Linda Yi-Chieh Poon; Edem Tsikata; James Chodosh; Claes H Dohlman; Benjamin J Vakoc; Brett E Bouma; Johannes F de Boer; Teresa C Chen
Journal:  J Glaucoma       Date:  2019-08       Impact factor: 2.503

Review 10.  Deep learning in glaucoma with optical coherence tomography: a review.

Authors:  An Ran Ran; Clement C Tham; Poemen P Chan; Ching-Yu Cheng; Yih-Chung Tham; Tyler Hyungtaek Rim; Carol Y Cheung
Journal:  Eye (Lond)       Date:  2020-10-07       Impact factor: 3.775

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