June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
OCTA and OCT Image Acquisition and Quality Assessment in the Framingham Heart Study
Author Affiliations & Notes
  • Ana Collazo Martinez
    Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Shu Jie Ting
    Framingham Heart Study, Framingham, Massachusetts, United States
  • Anoush Shahidzadeh
    Department of Ophthalmology, Roski Eye Institute, University of Southern California Keck School of Medicine, Los Angeles, California, United States
  • Jared M Zucker
    Framingham Heart Study, Framingham, Massachusetts, United States
  • Tim Kowalczyk
    Framingham Heart Study, Framingham, Massachusetts, United States
  • Sujata Rijal
    Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Lucia Sobrin
    Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Hongshan Liu
    Framingham Heart Study, Framingham, Massachusetts, United States
  • Alexa Beiser
    Framingham Heart Study, Framingham, Massachusetts, United States
    Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States
  • Sudha Seshadri
    Framingham Heart Study, Framingham, Massachusetts, United States
    Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States
  • Amir H. Kashani
    Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Footnotes
    Commercial Relationships   Ana Collazo Martinez None; Shu Ting None; Anoush Shahidzadeh None; Jared Zucker None; Tim Kowalczyk None; Sujata Rijal None; Lucia Sobrin None; Hongshan Liu None; Alexa Beiser None; Sudha Seshadri None; Amir Kashani Carl Zeiss Meditec (Dublin, CA, USA), Code F (Financial Support)
  • Footnotes
    Support  R01AG066524, FHS contract 75N92019D00031, P30AG066546, unrestricted departmental funding from Research to Prevent Blindness to Johns Hopkins University.
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 2531. doi:
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      Ana Collazo Martinez, Shu Jie Ting, Anoush Shahidzadeh, Jared M Zucker, Tim Kowalczyk, Sujata Rijal, Lucia Sobrin, Hongshan Liu, Alexa Beiser, Sudha Seshadri, Amir H. Kashani; OCTA and OCT Image Acquisition and Quality Assessment in the Framingham Heart Study. Invest. Ophthalmol. Vis. Sci. 2023;64(8):2531.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To describe the design and execution of an optical coherence tomography (OCT) and angiography (OCTA) protocol in the Framingham Heart Study (FHS).

Methods : A prospective, IRB-approved study was conducted from 2020-2022 among the Offspring Generation (Exam 10) and OMNI-1 (Exam 5) cohorts (Framingham, MA). Foveal-centered 3x3 mm2 OCTA, 200x200 Optic Disc Cube OCT, and Axial Length (AL) were acquired in quadruplicates on both undilated eyes (starting on the right eye) of each subject using commercial instruments. Imaging technicians without previous ocular imaging experience were trained using both remote and in person training protocols. All imaging procedures were completed in ~15 minutes. Image Quality Control (QC) was quantitatively assessed as “Excellent”, “Good”, “Suboptimal”, or not acquired by consensus of two trained graders not involved in image acquisition and based on the following criteria: signal strength, motion artifacts, medial opacities, focus, and decentration. The single best image was identified for future analysis. McNemar’s test was used for statistical comparisons.

Results : 959 subjects were recruited with the following characteristics: Age 76 ±7, Women 561 (59%), taking anti-hypertensives 525 (56%), Diabetes 99 (11%), Hyperlipidemia 63 ±19, Prevalent cardiovascular disease 96 (10%). Complete OCT, OCTA and AL data were acquired on 866/959 (90%), 923/959 (96%), and 859/959 (89%) subjects, respectively. Lack of gradable images was due to small pupil size, poor fixation, time constraints or hardware problems. Image QC assessed OCTA images as: 734/1918 (38%) “Excellent”, 533/1918 (28%) “Good”, and 471/1918 (25%) “Suboptimal” with 180/1918 (9%) not acquired. Image QC assessed OCT images as: 1299/1918 (68%) “Excellent”, 346/1918 (18%) “Good”, 162/1918 (8%) “Suboptimal”, with 111/1918 (6%) not acquired. (Table 1) There was a significant difference between frequency of unsuccessful image acquisitions for left compared to right eyes for both OCTA(p<0.01) and OCT(p<0.01).

Conclusions : We report preliminary data demonstrating favorable results for image acquisition and rating in a large cohort of non-dilated eyes. We show a significant difference in image acquisition, likely due to the order the images were acquired. Further analysis of variables impacting data collection and quantifiable metrics will be helpful in refining and improving future image collection efforts.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

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