PMID- 31588371
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220410
IS  - 2164-2591 (Print)
IS  - 2164-2591 (Electronic)
IS  - 2164-2591 (Linking)
VI  - 8
IP  - 5
DP  - 2019 Sep
TI  - Validation of Optical Coherence Tomography Retinal Segmentation in 
      Neurodegenerative Disease.
PG  - 6
LID - 10.1167/tvst.8.5.6 [doi]
LID - 6
AB  - PURPOSE: This study assessed agreement between an automated spectral-domain 
      optical coherence tomography (SD-OCT) retinal segmentation software and manually 
      corrected segmentation to validate its use in a prospective clinical study of 
      neurodegenerative diseases (NDD). METHODS: The sample comprised 30 subjects with 
      NDD, including vascular cognitive impairment, frontotemporal dementia, 
      Parkinson's disease, and Alzheimer's disease. Macular SD-OCT scans were acquired 
      and segmented using Heidelberg Spectralis. For the central foveal B scan of each 
      eye, eight segmentation lines were examined to determine the proportion of each 
      line that the software erroneously delineated. Errors in four lines were manually 
      corrected in all B scans spanning a 6-mm circle centered on the foveola. Mean 
      volume and thickness measurements for four retinal layers (total retina, retinal 
      nerve fiber layer [RNFL], inner retinal layers, and outer retinal layers) were 
      obtained before and after correction. RESULTS: The outer plexiform layer line had 
      one of the lowest mean error ratios (2%), while RNFL had the highest (23%). 
      Agreement between automated software and trained observer was excellent (ICC > 
      0.98) for retinal thickness and volume of all layers. Mean volume differences 
      between software and observers for the four layers ranged from -0.003 to 0.006 
      mm(3). Mean thickness differences ranged from -1.855 to 1.859 mum. CONCLUSIONS: 
      Despite occasional small errors in software-generated retinal sublayer 
      segmentation, agreement was excellent between software-derived and 
      observer-corrected mean volume and thickness sublayer measurements. TRANSLATIONAL 
      RELEVANCE: Automated SD-OCT segmentation software generates valid measurements of 
      retinal layer volume and thickness in NDD subjects, thereby avoiding the need to 
      manually correct nonobvious delineation errors.
CI  - Copyright 2019 The Authors.
FAU - Wong, Bryan M
AU  - Wong BM
AD  - University of Waterloo, School of Optometry and Vision Science, Waterloo, 
      Ontario, Canada.
AD  - University of Toronto, Faculty of Medicine, Toronto, Ontario, Canada.
FAU - Cheng, Richard W
AU  - Cheng RW
AD  - University of Waterloo, School of Optometry and Vision Science, Waterloo, 
      Ontario, Canada.
FAU - Mandelcorn, Efrem D
AU  - Mandelcorn ED
AD  - University of Toronto, Department of Ophthalmology and Vision Sciences, Toronto, 
      Ontario, Canada.
AD  - Kensington Eye Institute, Toronto, Ontario, Canada.
FAU - Margolin, Edward
AU  - Margolin E
AD  - University of Toronto, Department of Ophthalmology and Vision Sciences, Toronto, 
      Ontario, Canada.
AD  - Kensington Eye Institute, Toronto, Ontario, Canada.
FAU - El-Defrawy, Sherif
AU  - El-Defrawy S
AD  - University of Toronto, Department of Ophthalmology and Vision Sciences, Toronto, 
      Ontario, Canada.
AD  - Kensington Eye Institute, Toronto, Ontario, Canada.
FAU - Yan, Peng
AU  - Yan P
AD  - University of Toronto, Department of Ophthalmology and Vision Sciences, Toronto, 
      Ontario, Canada.
AD  - Kensington Eye Institute, Toronto, Ontario, Canada.
FAU - Santiago, Anna T
AU  - Santiago AT
AD  - Baycrest, Rotman Research Institute, Toronto, Ontario, Canada.
FAU - Leontieva, Elena
AU  - Leontieva E
AD  - University of Waterloo, School of Optometry and Vision Science, Waterloo, 
      Ontario, Canada.
FAU - Lou, Wendy
AU  - Lou W
AD  - University of Toronto, Dalla Lana School of Public Health, Toronto, Ontario, 
      Canada.
CN  - ONDRI Investigators
FAU - Hatch, Wendy
AU  - Hatch W
AD  - University of Toronto, Department of Ophthalmology and Vision Sciences, Toronto, 
      Ontario, Canada.
AD  - Kensington Eye Institute, Toronto, Ontario, Canada.
FAU - Hudson, Christopher
AU  - Hudson C
AD  - University of Waterloo, School of Optometry and Vision Science, Waterloo, 
      Ontario, Canada.
AD  - University of Toronto, Department of Ophthalmology and Vision Sciences, Toronto, 
      Ontario, Canada.
LA  - eng
PT  - Journal Article
DEP - 20190911
PL  - United States
TA  - Transl Vis Sci Technol
JT  - Translational vision science & technology
JID - 101595919
PMC - PMC6753973
OTO - NOTNLM
OT  - Parkinson's disease
OT  - automated segmentation
OT  - optical coherence tomography
OT  - retinal nerve fibre layer
OT  - retinal thickness
EDAT- 2019/10/08 06:00
MHDA- 2019/10/08 06:01
PMCR- 2019/09/11
CRDT- 2019/10/08 06:00
PHST- 2019/02/12 00:00 [received]
PHST- 2019/04/24 00:00 [accepted]
PHST- 2019/10/08 06:00 [entrez]
PHST- 2019/10/08 06:00 [pubmed]
PHST- 2019/10/08 06:01 [medline]
PHST- 2019/09/11 00:00 [pmc-release]
AID - TVST-19-1428 [pii]
AID - 10.1167/tvst.8.5.6 [doi]
PST - epublish
SO  - Transl Vis Sci Technol. 2019 Sep 11;8(5):6. doi: 10.1167/tvst.8.5.6. eCollection 
      2019 Sep.