PT  - JOURNAL ARTICLE
AU  - Marta Pazos
AU  - Marc Biarnés
AU  - Andrés Blasco-Alberto
AU  - Agnieszka Dyrda
AU  - Miguel Ángel Luque-Fernández
AU  - Alicia Gómez
AU  - Clara Mora
AU  - Elena Milla
AU  - MªJesús Muniesa
AU  - Alfonso Antón
AU  - Valentín Tinguaro Díaz-Alemán
TI  - SD-OCT peripapillary nerve fibre layer and ganglion cell complex parameters in glaucoma: principal component analysis
AID  - 10.1136/bjophthalmol-2020-316296
DP  - 2021 Apr 01
TA  - British Journal of Ophthalmology
PG  - 496--501
VI  - 105
IP  - 4
4099  - http://bjo.bmj.com/content/105/4/496.short
4100  - http://bjo.bmj.com/content/105/4/496.full
SO  - Br J Ophthalmol2021 Apr 01; 105
AB  - Background/aims To identify objective glaucoma-related structural features based on peripapillary (p) and macular (m) spectral domain optical coherence tomography (SD-OCT) parameters and assess their discriminative ability between healthy and glaucoma patients.Methods Two hundred and sixty eyes (91 controls and 169 glaucoma) were included in this prospective study. After a complete examination, all participants underwent the posterior pole and the peripapillary retinal nerve fibre layer (pRNFL) protocols of the Spectralis SD-OCT. Principal component analysis (PCA), a data reduction method, was applied to identify and characterise the main information provided by the ganglion cell complex (GCC). The discriminative ability between healthy and glaucomatous eyes of the first principal components (PCs) was compared with that of conventional SD-OCT parameters (pRNFL, macular RNFL (mRNFL), macular ganglion cell layer (mGCL)and macular inner plexiform layer (mIPL)) using 10-fold cross-validated areas under the curve (AUC).Results The first PC explained 58% of the total information contained in the GCC and the pRNFL parameters and was the result of a general combination of almost all variables studied (diffuse distribution). Other PCs were driven mainly by pRNFL and mRNFL measurements. PCs and pRNFL had similar AUC (0.95 vs 0.96, p=0.88), and outperformed the other structural measurements: mRNFL (0.91, p=0.002), mGCL (0.92, p=0.02) and mIPL (0.92, p=0.0001).Conclusions PCA identified a diffuse representation of the papillary and macular SD-OCT parameters as the most important PC to summarise structural data in healthy and glaucomatous eyes. PCs and pRNFL parameters showed the greatest discriminative ability between healthy and glaucoma cases.