| Literature DB >> 29354699 |
Karen K W Chan1,2, Fangyao Tang1, Clement C Y Tham1, Alvin L Young1,2, Carol Y Cheung1.
Abstract
Despite the critical impact of glaucoma on global blindness, its aetiology is not fully characterised. Elevated intraocular pressure is highly associated with glaucomatous optic neuropathy. However, visual field loss still progresses in some patients with normal or even low intraocular pressure. Vascular factors have been suggested to play a role in glaucoma development, based on numerous studies showing associations of glaucoma with blood pressure, ocular perfusion pressure, vasospasm, cardiovascular disease and ocular blood flow. As the retinal vasculature is the only part of the human circulation that readily allows non-invasive visualisation of the microcirculation, a number of quantitative retinal vascular parameters measured from retinal photographs using computer software (eg, calibre, fractal dimension, tortuosity and branching angle) are currently being explored for any association with glaucoma and its progression. Several population-based and clinical studies have reported that changes in retinal vasculature (eg, retinal arteriolar narrowing and decreased fractal dimension) are associated with optic nerve damage and glaucoma, supporting the vascular theory of glaucoma pathogenesis. This review summarises recent findings on the relationships between quantitatively measured structural retinal vascular changes with glaucoma and other markers of optic nerve head damage, including retinal nerve fibre layer thickness. Clinical implications, recent new advances in retinal vascular imaging (eg, optical coherence tomography angiography) and future research directions are also discussed.Entities:
Keywords: Glaucoma; Retinal Photography; Retinal Vasculature
Year: 2017 PMID: 29354699 PMCID: PMC5721639 DOI: 10.1136/bmjophth-2016-000032
Source DB: PubMed Journal: BMJ Open Ophthalmol ISSN: 2397-3269
Figure 1Quantitative measurement of retinal vasculature from retinal fundus photograph using a computer-assisted program (Singapore I Vessel Assessment (SIVA)).
Associations between quantitative retinal vascular parameters with glaucoma in population-based and hospital-based cross-sectional studies
| Study and year | Study type | Sample size | Method of assessment | Changes in parameters in association with glaucoma | ||||
| Arteriolar calibre | Venular calibre | Fractal dimension | Tortuosity | Branching angle | ||||
| Ciancaglini | Hospital-based cross-sectional study | N/A | Heidelberg Doppler flowmetry | – | – | Reduced | – | – |
| De Leon | Hospital-based, cross-sectional study | Any glaucoma: 158 | IVAN | Reduced | Reduced | – | – | – |
| Gao | Population-based cross-sectional study | Healthy: 5788 | Optimate | Reduced | Reduced | – | – | – |
| Yoo | Hospital-based case-control study | Healthy: 60 | IVAN | Reduced | Not significant | – | – | – |
| Wu | Population-based, cross-sectional study | Healthy: 2666 | SIVA | – | – | Reduced | Reduced | Reduced |
| Amerasinghe | Population-based, cross-sectional study | Healthy: 2892 | IVAN | Reduced | Reduced | – | – | – |
| Wang | Population-based, cross-sectional study | Total: 2418 | Manual | Reduced | Not significant | – | – | – |
| Klein | Population-based, cross-sectional study | Total: 4613 | Optimate | Not significant | Not significant | – | – | – |
| Mitchell | Population-based, cross-sectional study | Healthy: 3065 | Optimate | Reduced | Reduced | – | – | – |
| Angelica | Hospital-based, cross-sectional study | Total: 143 | HRT software 1.11, Interactive Means program | Not significant | – | – | – | – |
| Rankin | Hospital-based, case-control study | Healthy: 7 | Manual | Reduced | – | – | – | – |
| Rader | Hospital-based, case-control study | Healthy: 206 | Manual | Reduced | – | – | – | – |
| Jonas | Hospital-based, cross-sectional study | Healthy: 173 | Manual | Reduced | Reduced | – | – | – |
AVR, arteriovenous ratio; COAG, chronic open-angle glaucoma; HPG, high-pressure glaucoma; NTG, normal tension glaucoma; OHT, ocular hypertension; PAC, primary angle closure; PACG, primary angle closure glaucoma; PACS, primary angle closure suspect; POAG, primary open-angle glaucoma; SIVA, Singapore ‘I’ Vessel Assessment.
Relationship between retinal vascular parameters with glaucoma-associated outcomes
| Study and year | Study type | Sample size | Method of assessment | Outcome | Changes in parameters in association with glaucoma | ||||
| Arteriolar calibre | Venular calibre | Fractal dimension | Tortuosity | Branching angle | |||||
| Tham | Population-based, cross-sectional study | Healthy: 352 | SIVA | RNFL thickness | Reduced | Reduced | Reduced | Reduced | – |
| Kim | Hospital-based, case-control study | Healthy: 48 | Visupac | RNFL thickness | Reduced | Not significant | – | – | – |
| Koh | Population-based, cross-sectional study | Healthy: 2641 | SIVA | Neuroretinal rim area | – | – | – | Reduced | – |
| Zheng | Population-based, cross-sectional study | Healthy: 2599 | IVAN | RNFL thickness | Reduced | Reduced | – | – | – |
| Cheung | Population-based, cross-sectional study | Healthy: 1204 | Optimate | RNFL thickness | Reduced | Reduced | – | – | – |
| Lim | Hospital-based, cross-sectional study | Healthy: 104 | Optimate | RNFL thickness | Reduced | Reduced | – | – | – |
| CDR | Not significant | Reduced | – | – | – | ||||
| Samarawickrama | Population-based, cross-sectional study | Healthy: 2038 | Optimate | RNFL thickness | Reduced | Reduced | – | – | – |
| Hall | Hospital-based case series | POAG: 64 | Manual | VFD | Reduced | Not significant | – | – | – |
| Jonas and Naumann | Hospital-based, case-control study | Healthy: 173 | Manual | CDR | Reduced | Reduced | – | – | – |
| RNFL thickness | Reduced | Reduced | – | – | – | ||||
| VFD | Reduced | Reduced | – | – | – | ||||
CDR, cup–disc ratio; NTG, normal tension glaucoma; POAG, primary open-angle glaucoma; RNFL, retinal nerve fibre layer; VFD, visual field defect; SIVA, Singapore ‘I’ Vessel Assessment.
Relationship between vascular geometry with the incidence or progression of glaucoma
| Study and year | Study type | Follow-up duration | Sample size | Method of assessment | Outcome | Changes in parameters in association with glaucoma | |
| Arteriolar calibre | Venular calibre | ||||||
| Lee | Hospital-based, prospective study | 24.3 months | NTG: 27 | IVAN | Progression of glaucoma: 27 | Reduced | Not significant |
| Kawasaki | Population-based, prospective study | 10 years | Total: 2417 | Optimate | Incidence of glaucoma: 82 | Reduced | Not significant |
| Ikram | Population-based, prospective study | 6.5 years | Total: 3464 | Optimate | Incidence of glaucoma: 74 | Not significant | Not significant |
| Papastathopoulos & Jonas | Hospital-based, prospective study | 37 months | OHT: 31 | Colour stereo optic disc photographs | Progression of glaucoma: 37 | Reduced | – |
CRAE, central retinal artery equivalent; CRVE, central retinal vein equivalent; NTG, normal tension glaucoma; OHT, ocular hypertension; POAG, primary open-angle glaucoma; SOAG, secondary open-angle glaucoma; –, parameter not investigated.
Figure 2Assessment of retinal capillary network around optic nerve head using optical coherence tomography angiography in a normal eye (A–C) and a glaucomatous eye (D–F). Decreased peripapillary capillary density is indicated by blue arrows.