Macular ganglion cell/inner plexiform layer measurements by spectral domain optical coherence tomography for detection of early glaucoma and comparison to retinal nerve fiber layer measurements.
Purpose: To evaluate the performance of ganglion cell layer/inner plexiform layer (GCL/IPL) measurements with spectral-domain optical coherence tomography (Cirrus HD-OCT) for detection of early glaucoma and to compare results to retinal nerve fiber layer (RNFL) measurements.Design: Cross-sectional p...
| Publicado en: | American Journal of Ophthalmology Vol. 156; no. 6; pp. 1297 - 1298 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Dec2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104116491&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104116491 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00029394 1WV jtl: American Journal of Ophthalmology issn: 00029394 maglogo: N pubinfo: dt: Dec2013 vid: 156 iid: 6 pid: 82545 pub: Elsevier B.V. place: Philadelphia, Pennsylvania artinfo: ui: 104116491 NLM24075422 2012376828 10.1016/j.ajo.2013.08.001 NLM24075422 PMC3834195 104116491 ppf: 1297 ppct: 1 formats: tig: atl: Macular ganglion cell/inner plexiform layer measurements by spectral domain optical coherence tomography for detection of early glaucoma and comparison to retinal nerve fiber layer measurements. aug: au: Nouri-Mahdavi, Kouros Nowroozizadeh, Sara Nassiri, Nariman Cirineo, Nila Knipping, Shane Giaconi, Joann Caprioli, Joseph affil: Glaucoma Division, Jules Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California. Electronic address: nouri-mahdavi@jsei.ucla.edu. sug: subj: Glaucoma Diagnosis Nerve Fibers Pathology Optic Nerve Diseases Diagnosis Retina Pathology Tomography Methods Aged Algorithms Pharmacokinetics Biometrics Cross Sectional Studies Early Diagnosis Female Human Intraocular Pressure Male Middle Age Prospective Studies ROC Curve Reproducibility of Results Sensitivity and Specificity Perimetry Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Purpose: To evaluate the performance of ganglion cell layer/inner plexiform layer (GCL/IPL) measurements with spectral-domain optical coherence tomography (Cirrus HD-OCT) for detection of early glaucoma and to compare results to retinal nerve fiber layer (RNFL) measurements.Design: Cross-sectional prospective diagnostic study.Methods: We enrolled 99 subjects, including 59 eyes with glaucoma (47 subjects) (mean deviation >-6.0 dB) and 91 normal eyes (52 subjects). Patients underwent biometry and peripapillary and macular OCT imaging. Performance of the GCL/IPL and RNFL algorithms was evaluated with area under receiver operating characteristic curves (AUC), likelihood ratios, and sensitivities/specificities adjusting for covariates. Combination of best parameters was explored.Results: Average (SD) mean deviation in the glaucoma group was -2.5 (1.9) dB. On multivariate analyses, age (P < 0.001) and axial length (P = 0.03) predicted GC/IPL measurements in normal subjects. No significant correlation was found between average or regional GC/IPL thickness and respective outer retina (OR) thickness measurements (P > 0.05). Average RNFL thickness performed better than average GCL/IPL measurements for detection of glaucoma (AUC = 0.964 vs 0.937; P = 0.04). The best regional measures from each algorithm (inferior quadrant RNFL vs minimum GCL/IPL) had comparable performances (P = 0.78). Entering the GC/IPL to OR ratio into prediction models did not enhance the performance of the GCL/IPL measures. Combining the best parameters from each algorithm improved detection of glaucoma (P = 0.04).Conclusions: Regional GCL/IPL measures derived from Cirrus HD-OCT performed as well as regional RNFL outcomes for detection of early glaucoma. Using the GC/IPL to OR ratio did not enhance the performance of GCL/IPL parameters. Combining the best measures from the 2 algorithms improved detection of glaucoma. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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