PMID- 22668975
OWN - NLM
STAT- MEDLINE
DCOM- 20140521
LR  - 20131204
IS  - 1536-481X (Electronic)
IS  - 1057-0829 (Linking)
VI  - 22
IP  - 9
DP  - 2013 Dec
TI  - The applicability of ganglion cell complex parameters determined from SD-OCT 
      images to detect glaucomatous eyes.
PG  - 713-8
LID - 10.1097/IJG.0b013e318259b2e1 [doi]
AB  - PURPOSE: To determine whether the thicknesses of the different parameters of the 
      ganglion cell complex (GCC) and peripapillary retinal nerve fiber layer can be 
      used to differentiate eyes with glaucoma from normal eyes. METHODS: Two hundred 
      sixty-one eyes, including 68 normal eyes and 32 preperimetric glaucoma, 81 early 
      glaucoma, and 80 advanced glaucoma were analyzed in the present study. The 
      thicknesses of the GCC and retinal nerve fiber layer were measured using RTVue 
      spectral-domain optical coherence tomographic (SD-OCT) images. The area under the 
      receiver operating characteristic (AUROC) curve and sensitivities at fixed 
      specificities were calculated for each parameter. A logistic regression analysis 
      was used to determine the risk factors for glaucoma. RESULTS: The 2 largest AUROC 
      curves for all glaucoma stages were those for the GCC parameters. The global loss 
      volume (GLV) was always one of the 2 highest values of the AUROC curve. The GLV 
      also had the highest sensitivity at a fixed specificity to identify glaucoma at 
      early and advanced stage. The focal loss volume (FLV) had the largest AUROC curve 
      value and the highest sensitivity at a fixed specificity for advanced glaucoma. 
      The logistic regression analysis showed that the GLV was one of the factors that 
      predicted preperimetric glaucoma [odds ratio (OR)=1.74] and early glaucoma 
      (OR=1.22), whereas the FLV was useful for detecting advanced glaucoma (OR=2.32). 
      CONCLUSIONS: The SD-OCT-derived macular GCC parameters can be used to detect 
      preperimetric and perimetric glaucoma. The new GCC parameters, GLV and FLV, 
      performed well in discriminating glaucomatous eyes from normal eyes.
FAU - Arintawati, Paramastri
AU  - Arintawati P
AD  - Departments of *Ophthalmology and Visual Science daggerEpidemiology Infectious Disease 
      Control and Prevention, Graduate School of Biomedical Sciences, Hiroshima 
      University, Hiroshima, Japan.
FAU - Sone, Takashi
AU  - Sone T
FAU - Akita, Tomoyuki
AU  - Akita T
FAU - Tanaka, Junko
AU  - Tanaka J
FAU - Kiuchi, Yoshiaki
AU  - Kiuchi Y
LA  - eng
PT  - Journal Article
PL  - United States
TA  - J Glaucoma
JT  - Journal of glaucoma
JID - 9300903
SB  - IM
MH  - Area Under Curve
MH  - Axons/*pathology
MH  - Female
MH  - Glaucoma, Open-Angle/classification/*diagnosis
MH  - Humans
MH  - Intraocular Pressure
MH  - Male
MH  - Middle Aged
MH  - Ocular Hypertension/classification/diagnosis
MH  - Optic Disk/*pathology
MH  - Optic Nerve Diseases/classification/*diagnosis
MH  - Organ Size
MH  - ROC Curve
MH  - Retinal Ganglion Cells/*pathology
MH  - Risk Factors
MH  - Sensitivity and Specificity
MH  - *Tomography, Optical Coherence
MH  - Tonometry, Ocular
MH  - Visual Field Tests
EDAT- 2012/06/07 06:00
MHDA- 2014/05/23 06:00
CRDT- 2012/06/07 06:00
PHST- 2012/06/07 06:00 [entrez]
PHST- 2012/06/07 06:00 [pubmed]
PHST- 2014/05/23 06:00 [medline]
AID - 10.1097/IJG.0b013e318259b2e1 [doi]
PST - ppublish
SO  - J Glaucoma. 2013 Dec;22(9):713-8. doi: 10.1097/IJG.0b013e318259b2e1.