PMID- 22410550
OWN - NLM
STAT- MEDLINE
DCOM- 20120626
LR  - 20220331
IS  - 1552-5783 (Electronic)
IS  - 0146-0404 (Linking)
VI  - 53
IP  - 4
DP  - 2012 Apr 6
TI  - Image inversion spectral-domain optical coherence tomography optimizes choroidal 
      thickness and detail through improved contrast.
PG  - 1874-82
LID - 10.1167/iovs.11-9290 [doi]
AB  - PURPOSE: This study was conducted to determine whether there were significant 
      differences in choroidal thickness, contrast, outer choroidal vessel (OCV), and 
      choroidal-scleral junction (CSJ) visualization in inverted versus upright 
      spectral-domain optical coherence tomography (SD-OCT). METHODS: Images were 
      captured on Bioptigen SD-OCT, Zeiss Cirrus HD-OCT, and Heidelberg Spectralis in 
      42 eyes of 21 healthy subjects. Average choroidal thickness across a 
      fovea-centered 4-mm segment was determined with MATLAB. Quantitative measures of 
      choroidal contrast were measured and CSJ assessed by applying a score of 0 to 3. 
      OCV was determined by counting choroidal vessels >/= 200 mum. RESULTS: Mean 
      choroidal thickness was greater in inverted versus upright images captured by 
      Bioptigen (P </= 0.003) and Spectralis (P </= 0.015). Choroidal thickness varied 
      significantly between the three machines (P < 0.05). Contrast was higher in 
      inverted versus upright images captured by Bioptigen (P </= 0.02) and Spectralis (P 
      < 0.001), but not in Cirrus (P > 0.10, both observers). CSJ score was highest in 
      the following: Spectralis inverted = Spectralis EDI > Cirrus upright > Bioptigen 
      inverted. Mean OCV was highest in Spectralis inverted mode. CONCLUSION: The most 
      favorable modes to visualize CSJ and OCV are the Spectralis EDI, Spectralis 
      inverted, Cirrus upright, and Bioptigen inverted. These modes demonstrate the 
      highest outer choroidal contrast and choroidal thickness measurements. Choroidal 
      thickness cannot be compared between machines due to conversion factor 
      differences. Future studies and construction of automated segmentation and 
      detection software should take these benefits and pitfalls into account.
FAU - Lin, Phoebe
AU  - Lin P
AD  - Duke Eye Center, Durham, North Carolina, USA.
FAU - Mettu, Priyatham S
AU  - Mettu PS
FAU - Pomerleau, Dustin L
AU  - Pomerleau DL
FAU - Chiu, Stephanie J
AU  - Chiu SJ
FAU - Maldonado, Ramiro
AU  - Maldonado R
FAU - Stinnett, Sandra
AU  - Stinnett S
FAU - Toth, Cynthia A
AU  - Toth CA
FAU - Farsiu, Sina
AU  - Farsiu S
FAU - Mruthyunjaya, Prithvi
AU  - Mruthyunjaya P
LA  - eng
PT  - Comparative Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20120406
PL  - United States
TA  - Invest Ophthalmol Vis Sci
JT  - Investigative ophthalmology & visual science
JID - 7703701
SB  - IM
MH  - Adult
MH  - Choroid/*anatomy & histology
MH  - Female
MH  - Follow-Up Studies
MH  - Fovea Centralis
MH  - Humans
MH  - Image Enhancement/*methods
MH  - Male
MH  - Middle Aged
MH  - Observer Variation
MH  - Predictive Value of Tests
MH  - Prospective Studies
MH  - Reference Values
MH  - Reproducibility of Results
MH  - Tomography, Optical Coherence/*methods
MH  - Young Adult
EDAT- 2012/03/14 06:00
MHDA- 2012/06/27 06:00
CRDT- 2012/03/14 06:00
PHST- 2012/03/14 06:00 [entrez]
PHST- 2012/03/14 06:00 [pubmed]
PHST- 2012/06/27 06:00 [medline]
AID - iovs.11-9290 [pii]
AID - 10.1167/iovs.11-9290 [doi]
PST - epublish
SO  - Invest Ophthalmol Vis Sci. 2012 Apr 6;53(4):1874-82. doi: 10.1167/iovs.11-9290.