PMID- 33766775
OWN - NLM
STAT- MEDLINE
DCOM- 20220128
LR  - 20231108
IS  - 1873-1635 (Electronic)
IS  - 1350-9462 (Print)
IS  - 1350-9462 (Linking)
VI  - 85
DP  - 2021 Nov
TI  - Artificial intelligence in OCT angiography.
PG  - 100965
LID - S1350-9462(21)00026-4 [pii]
LID - 10.1016/j.preteyeres.2021.100965 [doi]
AB  - Optical coherence tomographic angiography (OCTA) is a non-invasive imaging 
      modality that provides three-dimensional, information-rich vascular images. With 
      numerous studies demonstrating unique capabilities in biomarker quantification, 
      diagnosis, and monitoring, OCTA technology has seen rapid adoption in research 
      and clinical settings. The value of OCTA imaging is significantly enhanced by 
      image analysis tools that provide rapid and accurate quantification of vascular 
      features and pathology. Today, the most powerful image analysis methods are based 
      on artificial intelligence (AI). While AI encompasses a large variety of 
      techniques, machine-learning-based, and especially deep-learning-based, image 
      analysis provides accurate measurements in a variety of contexts, including 
      different diseases and regions of the eye. Here, we discuss the principles of 
      both OCTA and AI that make their combination capable of answering new questions. 
      We also review contemporary applications of AI in OCTA, which include accurate 
      detection of pathologies such as choroidal neovascularization, precise 
      quantification of retinal perfusion, and reliable disease diagnosis.
CI  - Copyright (c) 2021 Elsevier Ltd. All rights reserved.
FAU - Hormel, Tristan T
AU  - Hormel TT
AD  - Casey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, 
      USA.
FAU - Hwang, Thomas S
AU  - Hwang TS
AD  - Casey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, 
      USA.
FAU - Bailey, Steven T
AU  - Bailey ST
AD  - Casey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, 
      USA.
FAU - Wilson, David J
AU  - Wilson DJ
AD  - Casey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, 
      USA.
FAU - Huang, David
AU  - Huang D
AD  - Casey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, 
      USA.
FAU - Jia, Yali
AU  - Jia Y
AD  - Casey Eye Institute, Oregon Health & Science University, Portland, OR, 97239, 
      USA; Department of Biomedical Engineering, Oregon Health & Science University, 
      Portland, OR, 97239, USA. Electronic address: jiaya@ohsu.edu.
LA  - eng
GR  - R01 EY023285/EY/NEI NIH HHS/United States
GR  - P30 EY010572/EY/NEI NIH HHS/United States
GR  - R01 EY024544/EY/NEI NIH HHS/United States
GR  - R01 EY031394/EY/NEI NIH HHS/United States
GR  - R01 EY027833/EY/NEI NIH HHS/United States
GR  - T32 EY023211/EY/NEI NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
PT  - Review
DEP - 20210322
PL  - England
TA  - Prog Retin Eye Res
JT  - Progress in retinal and eye research
JID - 9431859
SB  - IM
MH  - *Artificial Intelligence
MH  - Fluorescein Angiography
MH  - Humans
MH  - Retina
MH  - Retinal Vessels/diagnostic imaging
MH  - *Tomography, Optical Coherence
PMC - PMC8455727
MID - NIHMS1693691
OTO - NOTNLM
OT  - Artificial intelligence
OT  - Deep learning
OT  - Image analysis
OT  - OCT Angiography
COIS- All relevant disclosures are given below, and will be included in a future 
      manuscript version that includes author details. Disclosures Oregon Health & 
      Science University (OHSU) and Drs. Jia and Huang have a financial interest in 
      Optovue Inc. These potential conflicts of interest have been reviewed and are 
      managed by OHSU. The other authors do not have any potential financial conflicts 
      of interest.
EDAT- 2021/03/27 06:00
MHDA- 2022/01/29 06:00
PMCR- 2022/11/01
CRDT- 2021/03/26 06:12
PHST- 2020/11/30 00:00 [received]
PHST- 2021/03/09 00:00 [revised]
PHST- 2021/03/15 00:00 [accepted]
PHST- 2021/03/27 06:00 [pubmed]
PHST- 2022/01/29 06:00 [medline]
PHST- 2021/03/26 06:12 [entrez]
PHST- 2022/11/01 00:00 [pmc-release]
AID - S1350-9462(21)00026-4 [pii]
AID - 10.1016/j.preteyeres.2021.100965 [doi]
PST - ppublish
SO  - Prog Retin Eye Res. 2021 Nov;85:100965. doi: 10.1016/j.preteyeres.2021.100965. 
      Epub 2021 Mar 22.