June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
An Investigation on the Application of Retinal Imaging Technology in Detecting Age-Related Macular Degeneration
Author Affiliations & Notes
  • Parsa Riazi Esfahani
    Medicine, California University of Science and Medicine School of Medicine, Colton, California, United States
  • Akshay Jakkidi Reddy
    Medicine, California University of Science and Medicine School of Medicine, Colton, California, United States
  • Jack Thomas
    Medicine, California University of Science and Medicine School of Medicine, Colton, California, United States
  • Anna Nguyen
    Medicine, California University of Science and Medicine School of Medicine, Colton, California, United States
  • Victoria Farasat
    Irvine Valley College, Irvine, California, United States
  • Dillon Sommer
    Medicine, California University of Science and Medicine School of Medicine, Colton, California, United States
  • Neel Nawathey
    California Northstate University College of Medicine, Elk Grove, California, United States
  • Rakesh Patel
    Internal Medicine, East Tennessee State University James H Quillen College of Medicine, Johnson City, Tennessee, United States
    Psychiatry, East Tennessee State University James H Quillen College of Medicine, Johnson City, Tennessee, United States
  • Footnotes
    Commercial Relationships   Parsa Riazi Esfahani None; Akshay Reddy None; Jack Thomas None; Anna Nguyen None; Victoria Farasat None; Dillon Sommer None; Neel Nawathey None; Rakesh Patel None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 2138. doi:
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      Parsa Riazi Esfahani, Akshay Jakkidi Reddy, Jack Thomas, Anna Nguyen, Victoria Farasat, Dillon Sommer, Neel Nawathey, Rakesh Patel; An Investigation on the Application of Retinal Imaging Technology in Detecting Age-Related Macular Degeneration. Invest. Ophthalmol. Vis. Sci. 2023;64(8):2138.

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

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Abstract

Purpose : The purpose of this investigation is to evaluate the efficacy of several retinal imaging modalities, including (OCT) Optical coherence tomography, color fundus retinal photography, fluorescein angiography, and fundus photography, in detecting Age-Related Macular Degeneration.

Methods : The PubMed database was reviewed for literature pertaining to the use of imaging technology in the detection of AMD. The exact search phrases "AMD and OCT," "AMD and Optos," and "AMD and Ultrasound" were applied to all time periods. This resulted in a total of 83 publications, of which 83 were unique and not duplicates, 33 had full texts available, 28 were topically relevant, and only 24 satisfied our evaluation's analysis standards. The information acquired from these 24 investigations included the imaging technologies utilized, the vascular and non-vascular ocular illnesses identified in patients, the patients' previous medical histories, and the sample size. Studies without sufficient data to overlap with at least two of these categories were excluded. This action was taken to eliminate any personal bias. In Figure 1, the authors of this research present a more comprehensive illustration of the filtration process.

Results : Comparing the number of symptoms detected by OCT to the number of symptoms discovered when OCT was employed in conjunction with other imaging technologies, a significant difference was found (p-value = 0.0395, t-value = 2.1960). These figures were derived through a statistical analysis conducted on data collected from various studies included in this investigation. This suggests that combining OCT with other imaging technologies will result in improved illness diagnosis and, ultimately, treatment.

Conclusions : Age-related macular degeneration is diagnosed by examining the retina's pathology. This study evaluates OCT and other imaging modalities for detecting vascular and non-vascular ocular abnormalities from AMD. Statistical analysis was conducted using data collected from multiple studies on Pubmed. Combining OCT and other imaging technologies enhanced macular degeneration detection. This shows that multiple imaging modalities are required to diagnose AMD accurately. Due to data and method constraints, further research is needed to confirm these conclusions.

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

 

Figure 1. Article Filtration Methodology

Figure 1. Article Filtration Methodology

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