SD-OCT peripapillary nerve fibre layer and ganglion cell complex parameters in glaucoma: principal component analysis

Pazos, Marta; Biarnés, Marc; Alberto, Andrés Blasco; Dyrda, Agnieszka; Luque-Fernández, Miguel Ángel; Gómez, Alicia; Mora, C.; Millá, Elena; Muniesa, Marta; Antón, Alfonso; Díaz-Alemán, Valentín Tinguaro

doi:10.1136/bjophthalmol-2020-316296

Cited by 15 publications

(9 citation statements)

References 31 publications

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“…Multiple quantitative retinal imaging techniques comprising scanning laser polarimetry, Heidelberg retinal tomography, as well as optical coherence tomography (OCT) [8][9][10][11][12][13] , have been utilized to measure RNFL thickness. Among them, spectral-domain optical coherence tomography (SD-OCT), which is the latest generation of OCT, provides a high-resolution and enhance-depth visualization of the retina and the ONH [14][15][16] . With the utilization of SD-OCT in daily routine diagnosis, several studies have demonstrated that the attenuation of average pRNFL thickness is common in NAION and glaucoma [5,13,[17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] , where NAION may mimic with POAG [34] .…”

Section: Oct Differentiates Naion and Poagmentioning

confidence: 99%

Optical coherence tomography evaluation of retinal nerve fiber layer thickness in non-arteritic anterior ischemic optic neuropathy and primary open angle glaucoma: a systematic review and Meta-analysis

Tong¹,

He²,

Chen³

et al. 2022

Int J Ophthalmol

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AIM: To assess the differences in average and sectoral peripapillary retinal nerve fiber layer (pRNFL) thickness using spectral domain optical coherence tomography (SD-OCT) in patients with non-arteritic anterior ischemic neuropathy (NAION) compared with those with primary open angle glaucoma (POAG). METHODS: A comprehensive literature search of the PubMed, Cochrane Library, and Embase databases were performed prior to October, 2021. Studies that compared the pRNFL thickness in NAION eyes with that in POAG eyes with matched mean deviation of the visual fields were included. The weighted mean difference (WMD) with 95% confidence interval (CI) was used to pool continuous outcomes. RESULTS: Ten cross-sectional studies (11 datasets) comprising a total of 625 eyes (278 NAION eyes, 347 POAG eyes) were included in the qualitative and quantitative analyses. The pooled results demonstrated that the superior pRNFL was significantly thinner in NAION eyes than in POAG eyes (WMD=-6.40, 95%CI: -12.22 to -0.58, P=0.031), whereas the inferior pRNFL was significant thinner in POAG eyes than in NAION eyes (WMD=11.10, 95%CI: 7.06 to 15.14, P≤0.001). No difference was noted concerning the average, nasal, and temporal pRNFL thickness (average: WMD=1.45, 95%CI: -0.75 to 3.66, P=0.196; nasal: WMD= -2.12, 95%CI: -4.43 to 0.19, P=0.072; temporal: WMD= -1.24, 95%CI: -3.96 to 1.47, P=0.370). CONCLUSION: SD-OCT based evaluation of inferior and superior pRNFL thickness can be potentially utilized to differentiate NAION from POAG, and help to understand the different pathophysiological mechanisms between these two diseases. Further longitudinal studies and studies using eight-quadrant or clock-hour classification method are required to validate the obtained findings.

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Section: Oct Differentiates Naion and Poagmentioning

confidence: 99%

Optical coherence tomography evaluation of retinal nerve fiber layer thickness in non-arteritic anterior ischemic optic neuropathy and primary open angle glaucoma: a systematic review and Meta-analysis

Tong¹,

He²,

Chen³

et al. 2022

Int J Ophthalmol

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“… 24 And third, the selection of parameters to create a composite score can be challenging: choosing different indicators from the same source and with analogous behavior can lead to multicollinearity, where many variables contain similar information that is, therefore, redundant. In this situation principal component analyses 7 or unit-weighted composite scores would be more suitable, 25 and fewer properly selected variables would be probably more precise as well. 26…”

Section: Discussionmentioning

confidence: 99%

“… 4 , 5 Lately, several combinations of these parameters have proven to improve the diagnostic ability of isolated OCT parameters, especially in early glaucoma. 6 , 7 …”

Section: Introductionmentioning

confidence: 99%

External Validation and Clinical Applicability of Two Optical Coherence Tomography–Based Risk Calculators for Detecting Glaucoma

Ventura-Abreu

Biarnés

Batlle-Ferrando

et al. 2022

Trans. Vis. Sci. Tech.

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Purpose To clinically validate the diagnostic ability of two optical coherence tomography (OCT)-based glaucoma diagnostic calculators (GDCs). Methods We conducted a retrospective, consecutive sampling of 76 patients with primary open-angle glaucoma, 107 glaucoma suspects, and 67 controls. Demographics, reliable visual field testing, and macular and optic disc OCT were collected. The reference diagnosis was compared against the probability of having glaucoma obtained from two GDCs derived from multivariate logistic regressions using quantitative and qualitative (GDC1) or only quantitative (GDC2) OCT data. The discrimination (area under the curve [AUC]) and calibration (calibration plots) were compared for both calculators and the best OCT parameters. Results GDC2 was able to identify 46.9% more suspects and 14.7% more glaucomatous eyes than GDC1. Both GDCs obtained the highest discriminative ability in glaucomatous eyes (GDC1 AUC = 0.949; GDC2 = 0.943 vs inferior peripapillary retinal nerve fiber layer [pRNFL] = 0.931; P = 0.43). The discriminating ability was not as good for glaucoma suspects, but the GDCs were not inferior to pRNFL (GDC 1 AUC = 0.739; GDC2 = 0.730; inferior pRNFL = 0.760; P = 0.54) and GDC2 was still able to correctly identify up to 30.8% more cases than the conventional OCT classification. Calibration showed risk underestimation for both groups and calculators, but it was better in GDC2 and in patients with glaucoma. Conclusions OCT-based calculators showed an excellent diagnostic performance in glaucomatous eyes. GDC2 was able to identify approximately 30% more cases than the conventional pRNFL inferior OCT classification in both groups, suggesting a potential role of these composite scores in clinical practice. Translational Relevance These OCT-based calculators may improve glaucoma diagnosis in clinical care.

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“…This anatomical separation makes it possible to study the retinal ganglion cells by direct imaging using optical coherence tomography (OCT) and consider it as a window into different physiological and pathological processes in the brain (1)(2)(3)(4)(5)(6). The measurement of the RNFL has been thoroughly investigated in different diseases such as glaucoma (7), idiopathic intracranial hypertension (IIH) (8) and optic neuritis (9); on the other hand, the GCL has also been measured and investigated as the retinal ganglion cell complex (GCC), which includes both the ganglion cell layer and the inner plexiform layer (IPL) (10)(11)(12).…”

Section: Introductionmentioning

confidence: 99%

Retinal Ganglion Cell Layer Thickness And Volume Measured By Optical Coherence Tomography Changes With Age, Sex, And Axial Length In A Healthy Population

Al-Hawasi

Lagali

2022

Preprint

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Background: The GCL measurements with OCT are important for both ophthalmologists and neurologist because of the association with many ophthalmic and neurological diseases. Different factors can affect these measurements, as brain pathologies, ocular AL as well as age and sex. Studies that conducted to measure GCL have overlooked many of these factors. The purpose of this study is to examine the effect of age, sex, and axial length on normal retinal GCL thickness and volume in a healthy population without any neurological diseases.Methods: A prospective cross-sectional study to measure the retinal (GCL) thickness and total volume with optical coherence tomography (OCT) with automated segmentation and manual correction where needed. Visual acuity, axial length, and autorefraction were also measured. A mixed linear model was used to determine the association of the effect of the various parameters on the GCL thickness and volume.Results: 116 eyes of 60 subjects (12-76 years of age, 55% female) were examined of which 77% had 0 ± 2 D of spherical equivalent, and mean axial length was 23.86 mm. About 25% of the OCT-automated GCL measurements required manual correction. GCL thickness did not differ in similar anatomic regions in right and left eyes (P > 0.05). GCL volume was greater in males relative to females after adjustment for age and axial length (1.13 ± 0.07 mm3 for male vs 1.09 ± 0.09 mm3 for females; P = 0.031). GCL thickness differed between males and females in the inner retinal ring (P=0.025) but not in the outer ring (P=0.66). GCL volume declined with age (P=0.031) but not after adjustment for sex and axial length (P=0.138). GCL volume declined with longer axial length after adjustment for age and sex (P=0.048). Conclusion: Age, sex and axial length should be taken into consideration when measuring the GCL thickness and volume with OCT. Automated OCT segmentation should be reviewed for manual adjustments.

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SD-OCT peripapillary nerve fibre layer and ganglion cell complex parameters in glaucoma: principal component analysis

Cited by 15 publications

References 31 publications

Optical coherence tomography evaluation of retinal nerve fiber layer thickness in non-arteritic anterior ischemic optic neuropathy and primary open angle glaucoma: a systematic review and Meta-analysis

Optical coherence tomography evaluation of retinal nerve fiber layer thickness in non-arteritic anterior ischemic optic neuropathy and primary open angle glaucoma: a systematic review and Meta-analysis

External Validation and Clinical Applicability of Two Optical Coherence Tomography–Based Risk Calculators for Detecting Glaucoma

Retinal Ganglion Cell Layer Thickness And Volume Measured By Optical Coherence Tomography Changes With Age, Sex, And Axial Length In A Healthy Population

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