Determinants of anterior chamber depth in a large Caucasian population and agreement between intra‐ocular lens Master and Pentacam measurements of this variable

Fernández‐Vigo, José Ignacio; Fernández‐Vigo, José Ángel; Macarro-Merino, Ana; Fernández-Pérez, Cristina; Martínez-de-la-Casa, J.M.; García‐Feijoó, Julián

doi:10.1111/aos.12824

Cited by 29 publications

(23 citation statements)

References 32 publications

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“…The ACA was independently associated with a shallower anterior chamber, as previously reported by other groups. 21,22 This was similar to observations in patients with angle-closure glaucoma, who tend to have a shallower anterior chamber and a thicker crystalline lens. 23 It should be kept in mind that what is termed anterior chamber depth is in fact the measurement of a single point measurement of the optical axis.…”

Section: Discussionsupporting

confidence: 82%

Distribution of Anterior Chamber Angle Width and Correlation With Age, Refraction, and Anterior Chamber Depth—The Gutenberg Health Study

Schuster

Pfeiffer

Nickels

et al. 2016

Invest. Ophthalmol. Vis. Sci.

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PURPOSE.Scheimpflug imaging allows quantitative analysis of the width of the anterior chamber angle. We report the population-based distribution of the anterior chamber angle width using this noncontact imaging technique and investigate associated factors. METHODS.A population-based cross-sectional study was carried out in Germany. A comprehensive ophthalmologic examination including refraction, biometry, and Scheimpflug imaging was performed. Automated measurement of the anterior chamber angle was performed in each anterior chamber quadrant. Exclusion criteria were previous ocular surgery or inadequate image quality. Association analyses were carried out to determine independently associated systemic and ocular factors for anterior chamber angle width using a generalized estimating equation model. RESULTS.A total of 3014 subjects (48% female) with a mean age of 58.6 6 10.4 years were included in this study. The mean anterior chamber angle width was 32.68 6 5.58. Statistical analysis revealed an independent association between a smaller anterior chamber angle and female sex, higher age, and more hyperopic refraction. When including biometric parameters, shallow anterior chamber depth, shorter axial length, higher central corneal thickness, and lower corneal power were independently associated with a narrower mean anterior chamber angle width.CONCLUSIONS. These parameters are considered risk factors for angle-closure glaucoma.Keywords: Scheimpflug photography, epidemiology, anterior chamber angle, refraction, anterior chamber depth A nterior chamber angle and depth have been identified as an important risk factor for angle-closure glaucoma 1 and progression of open-angle glaucoma.2 For almost a century, gonioscopy has been used to semiquantitatively analyze anterior chamber angle width. [3][4][5] More recently, quantitative imaging modalities including ultrasound biomicroscopy, optical coherence tomography, and Scheimpflug imaging have been developed. [6][7][8] In contrast to ultrasound biomicroscopy, optical coherence tomography and Scheimpflug imaging offer noncontact imaging of the anterior segment and make these methods attractive for patients and doctors alike. 9 To interpret measurements from Scheimpflug imaging and to integrate the results into a clinical context, it is important to know the distribution of anterior chamber angle width and to understand associations with clinical factors. The underlying idea is that a narrower anterior chamber angle width is associated with clinically suspicious risk factors for acute angle closure, namely female sex, older age, hyperopic refraction, shorter axial length, and thicker crystalline lens.Hence, the focus of this study is to derive normative values of the anterior chamber angle width. Using Scheimpflug imaging we investigate, for the first time, correlations between anterior chamber angle width and systemic and ocular parameters in a very large population-based setting. MATERIALS AND METHODSThe Gutenberg Health Study (GHS) is a prospective, populationbased, obs...

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Section: Discussionsupporting

confidence: 82%

Distribution of Anterior Chamber Angle Width and Correlation With Age, Refraction, and Anterior Chamber Depth—The Gutenberg Health Study

Schuster

Pfeiffer

Nickels

et al. 2016

Invest. Ophthalmol. Vis. Sci.

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“…* Fernandez‐Vigo et al. () used 2 devices for ACD measurements: Pentacam (Oculus Optikger δ te, Germany) and IOLM aster and showed excellent agreement between devices…”

Section: Resultsmentioning

confidence: 99%

“…Fernandez‐Vigo et al. () described a decrease of 10.4 μ m/year as Richdale et al. () found a decrease of 0.02 mm/year.…”

Section: Discussionmentioning

confidence: 96%

Correlations between ocular biometrics and refractive error: A systematic review and meta‐analysis

Gaurisankar

Rijn

Lima

et al. 2019

Acta Ophthalmologica

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The understanding of correlations between different biometric parameters is essential for personalized eye care in the field of cataract and refractive surgery. This systematic review offers a clear overview of the previous literature assessing these correlations including a meta-analysis. The review is focused on the following five correlations: (1) axial length and refractive error; (2) anterior chamber depth and refractive error; (3) axial length and anterior chamber depth; (4) corneal power and refractive error; (5) corneal power and axial length. An expected strong correlation between axial length and refractive error was found. Correlations including corneal power were weak and might be clinically insignificant.

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“…26 Exclusion criteria were: ocular or systemic disease, opacity of the ocular media preventing high-quality imaging, motion artefact (discontinuous vessel pattern or discontinuous disc boundary), and previous eye surgery. Inclusion criteria were: healthy Caucasian, intraocular pressure (IOP) ≤21 mmHg in both eyes, and an axial length (AL) of 21 to 27 mm (in our setting mean AL is 24 mm).…”

Section: Methodsmentioning

confidence: 99%

“…Inclusion criteria were: healthy Caucasian, intraocular pressure (IOP) ≤21 mmHg in both eyes, and an axial length (AL) of 21 to 27 mm (in our setting mean AL is 24 mm). 26 Exclusion criteria were: ocular or systemic disease, opacity of the ocular media preventing high-quality imaging, motion artefact (discontinuous vessel pattern or discontinuous disc boundary), and previous eye surgery.…”

Section: Methodsmentioning

confidence: 99%

Normative database and determinants of macular vessel density measured by optical coherence tomography angiography

Fernández‐Vigo

Kudsieh²,

Shi

et al. 2019

Clinical Exper Ophthalmology

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Importance To provide a normative vessel density (VD) database for the macula through swept‐source optical coherence tomography angiography (OCTA) and to assess the main determinants of this measurement. Background In contrast with dye angiography, the recently introduced OCTA technique allows for the non‐invasive measurement of retinal and choroidal VD metrics. Design Cross‐sectional study. Participants The right eyes of 346 healthy subjects were studied. In 105 subjects both eyes were imaged. Methods Foveal and parafoveal macular VD measurements were obtained in the retinal superficial capillary plexus (SCP), deep capillary plexus (DCP), and in the choriocapillaris (CC) layer. Also recorded were age, sex, axial length (AL), foveal and choroidal thickness (CT). Main Outcome Measures Normative database and determinants of macular VD measured by OCTA. Results Mean participant age was 38.3 ± 20.1 years (mean ± SD) (range 5‐83). Foveal VDs in the different plexuses were: SCP 22.1% ± 5.0% (7.3‐35.1), DCP 19.9% ± 6.3% (6.9‐51.2) and CC: 52.8% ± 4.3% (40.2‐62.1). Parafoveal VDs ranged from 45.4% ± 3.7% to 51.8% ± 4.6%. Positive correlation was observed between foveal VD and foveal thickness (R = .327), as well as between parafoveal DCP VD and CT (R = .250;P ≤ .006), while correlation with age was negative in the SCP and CC (R = −.283;P < .001). No associations were detected between macular VD and sex or AL (P ≥ .05). Conclusion and Relevance Macular VD showed wide individual variation, was positively correlated with foveal thickness and with CT, negatively correlated with age, and showed no correlation with AL or sex.

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Determinants of anterior chamber depth in a large Caucasian population and agreement between intra‐ocular lens Master and Pentacam measurements of this variable

Cited by 29 publications

References 32 publications

Distribution of Anterior Chamber Angle Width and Correlation With Age, Refraction, and Anterior Chamber Depth—The Gutenberg Health Study

Distribution of Anterior Chamber Angle Width and Correlation With Age, Refraction, and Anterior Chamber Depth—The Gutenberg Health Study

Correlations between ocular biometrics and refractive error: A systematic review and meta‐analysis

Normative database and determinants of macular vessel density measured by optical coherence tomography angiography

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