Literature DB >> 31804666

Prevalence and Severity of Artifacts in Optical Coherence Tomographic Angiograms.

Ian C Holmen1, Sri Meghana Konda1, Jeong W Pak1, Kyle W McDaniel1, Barbara Blodi1,2, Kimberly E Stepien1,2, Amitha Domalpally1.   

Abstract

Importance: Artifacts can affect optical coherence tomographic angiography (OCTA) images and may be associated with misinterpretation of OCT scans in both clinical trials and clinical settings.
Objectives: To identify the prevalence and type of artifacts in OCTA images associated with quantitative output and to analyze the role of proprietary quality indices in establishing image reliability. Design, Setting, and Participants: This cross-sectional study evaluated baseline OCTA images acquired in multicenter clinical trials and submitted to the Fundus Photograph Reading Center in Madison, Wisconsin, between January 1, 2016, and December 31, 2018. Images were captured using the 3 mm × 3 mm and/or 6 mm × 6 mm scan protocol with commercially available OCTA systems. Artifacts, including decentration, segmentation error, movement, blink, refraction shift, defocus, shadow, Z offset, tilt, and projection, were given a severity grade based on involvement of cross-sectional OCT and area of OCT grid affected. Main Outcomes and Measures: Prevalence and severity of OCTA artifacts and area under the receiver operating characteristic curve (AUC) of quality indices with image reliability.
Results: A total of 406 OCTA images from 234 eyes were included in this study, of which 221 (54.4%) were 6 mm × 6 mm scans and 185 (45.6%) were 3 mm × 3 mm scans. At least 1 artifact was documented in 395 images (97.3%). Severe artifacts associated with the reliability of quantitative outputs were found in 217 images (53.5%). Shadow (26.9% [109 images]), defocus (20.9% [85 images]), and movement (16.0% [65 images]) were the 3 most prevalent artifacts. Prevalence of artifacts did not vary with the imaging system used or with the scan protocol; however, the type of artifacts varied. Commercially recommended quality index thresholds had an AUC of 0.80 to 0.83, sensitivity of 97% to 99%, and specificity of 37% to 41% for reliable images. Conclusions and Relevance: Findings from this study suggest that artifacts associated with quantitative outputs on commercially available OCTA devices are highly prevalent and that identifying common artifacts may require correlation with the angiogram and cross-sectional OCT scans. Knowledge of these artifacts and their implications for OCTA indices appears to be warranted for more accurate interpretation of OCTA images.

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Year:  2020        PMID: 31804666      PMCID: PMC6902206          DOI: 10.1001/jamaophthalmol.2019.4971

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  28 in total

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Authors:  Anqi Zhang; Qinqin Zhang; Chieh-Li Chen; Ruikang K Wang
Journal:  J Biomed Opt       Date:  2015-10       Impact factor: 3.170

2.  Evaluation of artifacts associated with macular spectral-domain optical coherence tomography.

Authors:  Ian C Han; Glenn J Jaffe
Journal:  Ophthalmology       Date:  2010-02-19       Impact factor: 12.079

3.  DIRECTIONAL CHANGES IN TISSUE REFLECTIVITY MAY INFLUENCE FLOW DETECTION ON OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY.

Authors:  Rosa Dolz-Marco; K Bailey Freund
Journal:  Retina       Date:  2018-04       Impact factor: 4.256

Review 4.  CLINICAL TRIAL ENDPOINTS FOR OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN NEOVASCULAR AGE-RELATED MACULAR DEGENERATION.

Authors:  Emily D Cole; Daniela Ferrara; Eduardo A Novais; Ricardo N Louzada; Nadia K Waheed
Journal:  Retina       Date:  2016-12       Impact factor: 4.256

5.  Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography.

Authors:  Richard F Spaide; James M Klancnik; Michael J Cooney
Journal:  JAMA Ophthalmol       Date:  2015-01       Impact factor: 7.389

6.  Prevalences of segmentation errors and motion artifacts in OCT-angiography differ among retinal diseases.

Authors:  J L Lauermann; A K Woetzel; M Treder; M Alnawaiseh; C R Clemens; N Eter; Florian Alten
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2018-07-07       Impact factor: 3.117

7.  Projection artifact removal improves visualization and quantitation of macular neovascularization imaged by optical coherence tomography angiography.

Authors:  Qinqin Zhang; Anqi Zhang; Cecilia S Lee; Aaron Y Lee; Kasra A Rezaei; Luiz Roisman; Andrew Miller; Fang Zheng; Giovani Gregori; Mary K Durbin; Lin An; Paul F Stetson; Philip J Rosenfeld; Ruikang K Wang
Journal:  Ophthalmol Retina       Date:  2017 Mar-Apr

8.  Reproducibility of spectral-domain optical coherence tomography retinal thickness measurements and conversion to equivalent time-domain metrics in diabetic macular edema.

Authors:  Susan B Bressler; Allison R Edwards; Kakarla V Chalam; Neil M Bressler; Adam R Glassman; Glenn J Jaffe; Michele Melia; David D Saggau; Oren Z Plous
Journal:  JAMA Ophthalmol       Date:  2014-09       Impact factor: 7.389

9.  Cataract significantly influences quantitative measurements on swept-source optical coherence tomography angiography imaging.

Authors:  Siqing Yu; Beatrice E Frueh; Dagmar Steinmair; Andreas Ebneter; Sebastian Wolf; Martin S Zinkernagel; Marion R Munk
Journal:  PLoS One       Date:  2018-10-02       Impact factor: 3.240

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  25 in total

1.  Error in Byline.

Authors: 
Journal:  JAMA Ophthalmol       Date:  2020-04-01       Impact factor: 7.389

2.  Correlation of Quantitative Measurements with Diabetic Disease Severity Using Multiple En Face OCT Angiography Image Averaging.

Authors:  Jesse J Jung; Daryle Jason G Yu; Anne Zeng; Michael H Chen; Yue Shi; Marco Nassisi; Kenneth M Marion; Srinivas R Sadda; Quan V Hoang
Journal:  Ophthalmol Retina       Date:  2020-05-07

3.  Effects of Induced Astigmatism on Spectral Domain-OCT Angiography Quantitative Metrics.

Authors:  Jesse J Jung; Yu Qiang Soh; Patricia Sha; Sophia Yu; Mary K Durbin; Quan V Hoang
Journal:  Am J Ophthalmol       Date:  2020-07-16       Impact factor: 5.258

4.  Association of Optical Coherence Tomography Angiography Metrics With Detection of Impaired Macular Microvasculature and Decreased Vision in Amblyopic Eyes: The Hong Kong Children Eye Study.

Authors:  Emily S Wong; Xiu-Juan Zhang; Nan Yuan; Jian Li; C P Pang; Lijia Chen; Clement C Tham; Carol Y Cheung; Jason C Yam
Journal:  JAMA Ophthalmol       Date:  2020-08-01       Impact factor: 7.389

Review 5.  Artificial intelligence in OCT angiography.

Authors:  Tristan T Hormel; Thomas S Hwang; Steven T Bailey; David J Wilson; David Huang; Yali Jia
Journal:  Prog Retin Eye Res       Date:  2021-03-22       Impact factor: 21.198

6.  Small dome-shaped pigment epithelium detachment in polypoidal choroidal vasculopathy: an under-recognized sign of polypoidal lesions on optical coherence tomography?

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Journal:  Eye (Lond)       Date:  2021-04-08       Impact factor: 3.775

Review 7.  Artifacts in Optical Coherence Tomography Angiography.

Authors:  Pasha Anvari; Maryam Ashrafkhorasani; Abbas Habibi; Khalil Ghasemi Falavarjani
Journal:  J Ophthalmic Vis Res       Date:  2021-04-29

Review 8.  Past, present and future role of retinal imaging in neurodegenerative disease.

Authors:  Amir H Kashani; Samuel Asanad; Jane W Chan; Maxwell B Singer; Jiong Zhang; Mona Sharifi; Maziyar M Khansari; Farzan Abdolahi; Yonggang Shi; Alessandro Biffi; Helena Chui; John M Ringman
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9.  OCT Angiography Artifacts in Glaucoma.

Authors:  Alireza Kamalipour; Sasan Moghimi; Huiyuan Hou; Rafaella C Penteado; Won Hyuk Oh; James A Proudfoot; Nevin El-Nimri; Eren Ekici; Jasmin Rezapour; Linda M Zangwill; Christopher Bowd; Robert N Weinreb
Journal:  Ophthalmology       Date:  2021-04-02       Impact factor: 14.277

Review 10.  Optical coherence tomography angiography in diabetic retinopathy: an updated review.

Authors:  Zihan Sun; Dawei Yang; Ziqi Tang; Danny S Ng; Carol Y Cheung
Journal:  Eye (Lond)       Date:  2020-10-24       Impact factor: 3.775

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