Literature DB >> 24406389

Sensitivity of fluid detection in patients with neovascular amd using spectral domain optical coherence tomography high-definition line scans.

Jennifer E De Niro1, H Richard McDonald, Robert N Johnson, J Michael Jumper, Arthur D Fu, Emmett T Cunningham, Brandon J Lujan.   

Abstract

PURPOSE: To determine the sensitivity of the Cirrus high-definition (HD) 5-line raster scans for detecting retinal fluid in neovascular age-related macular degeneration when using the spectral domain optical coherence tomography macular cubes as a gold standard.
METHODS: Patients were retrospectively identified from their initial follow-up visit after being newly diagnosed with neovascular age-related macular degeneration in at least one eye. Patients were imaged with Cirrus spectral domain optical coherence tomography using the 512 × 128 macular cube scan and HD 5-line raster scan settings. Patients with other diseases that cause subretinal or intraretinal fluid, or who had an epiretinal membrane causing macular traction were excluded from the analysis. We recorded the presence or absence of subretinal or intraretinal fluid in the macular cube and on the HD 5-line raster scans.
RESULTS: Seventy-nine patients met the study requirements. Of the 63 patients who had fluid present on the macular cube, 1 did not seem to have fluid on the HD 5-line raster scans. Taking the macular cube as a gold standard, the sensitivity of the HD 5-line raster scans for detecting retinal fluid in this cohort was 98.4%.
CONCLUSION: The Cirrus HD 5-line raster scans have a high sensitivity for detecting fluid in the macular cube in patients with neovascular age-related macular degeneration.

Entities:  

Mesh:

Year:  2014        PMID: 24406389     DOI: 10.1097/IAE.0000000000000077

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   4.256


  8 in total

1.  Visual Prognosis of Eyes Recovering From Macular Hole Surgery Through Automated Quantitative Analysis of Spectral-Domain Optical Coherence Tomography (SD-OCT) Scans.

Authors:  Luis de Sisternes; Julia Hu; Daniel L Rubin; Theodore Leng
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-07       Impact factor: 4.799

2.  COMPARISON OF SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY SCAN PATTERNS AND CLINICAL REVIEW STRATEGIES IN NEOVASCULAR AGE-RELATED MACULAR DEGENERATION.

Authors:  Robert J Courtney; Jedediah I McClintic; Justis P Ehlers
Journal:  Retina       Date:  2015-07       Impact factor: 4.256

3.  Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images.

Authors:  Zexuan Ji; Qiang Chen; Sijie Niu; Theodore Leng; Daniel L Rubin
Journal:  Transl Vis Sci Technol       Date:  2018-01-02       Impact factor: 3.283

4.  Multimodality analysis of Hyper-reflective Foci and Hard Exudates in Patients with Diabetic Retinopathy.

Authors:  Sijie Niu; Chenchen Yu; Qiang Chen; Songtao Yuan; Jiang Lin; Wen Fan; Qinghuai Liu
Journal:  Sci Rep       Date:  2017-05-08       Impact factor: 4.379

Review 5.  An evidence-based approach to the routine use of optical coherence tomography.

Authors:  Angelica Ly; Jack Phu; Paula Katalinic; Michael Kalloniatis
Journal:  Clin Exp Optom       Date:  2018-12-17       Impact factor: 2.742

6.  Comparison of OCT Angiography Review Strategies to Identify Vascular Abnormalities in the AVATAR Study.

Authors:  Amy S Babiuch; Mehnaz Khan; Ming Hu; Peter K Kaiser; Sunil K Srivastava; Rishi P Singh; Allison Watts; Jamie L Reese; Justis P Ehlers
Journal:  Ophthalmol Retina       Date:  2018-06

7.  Advanced imaging for the diagnosis of age-related macular degeneration: a case vignettes study.

Authors:  Angelica Ly; Lisa Nivison-Smith; Barbara Zangerl; Nagi Assaad; Michael Kalloniatis
Journal:  Clin Exp Optom       Date:  2017-10-09       Impact factor: 2.742

8.  Comparison of SDOCT Scan Types for Grading Disorganization of Retinal Inner Layers and Other Morphologic Features of Diabetic Macular Edema.

Authors:  Konstantina Sampani; Marwan Abdulaal; Timothy Peiris; Michael M Lin; Cloyd Pitoc; Migil Ledesma; Jan Lammer; Paolo S Silva; Lloyd Paul Aiello; Jennifer K Sun
Journal:  Transl Vis Sci Technol       Date:  2020-07-30       Impact factor: 3.283

  8 in total

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