Visual fields in glaucoma: Where are we now?
Graham A LeeGeorge Y X KongChun-Huei LiuPublished in: Clinical & experimental ophthalmology (2023)
Visual fields are an integral part of glaucoma diagnosis and management. COVID has heightened the awareness of the potential for viral spread with the practice of visual fields modified. Mask artefacts can occur due to fogging of the inferior rim of the trail lens. Fortunately, the risk of airborne transmission when field testing is low. The 24-2c may be useful to detect early disease and the 10-2 more sensitive to detect advanced loss. The SITA faster test algorithm is able to reduce testing time thereby improving clinic efficiency, however, may show milder results for moderate or severe glaucoma. The technician has an important role of supervising the visual field performance to achieve reliable output. Home monitoring can provide earlier detection of progression and thus improve monitoring of glaucoma as well as reduce the burden of in-clinic assessments. Artificial Intelligence has been found to have high sensitivity and specificity compared to expert observers in detecting field abnormalities and progression as well as integrating structure with function. Although these advances will improve efficiency and guide accuracy, there will remain a need for clinicians to interpret the results and instigate management.
Keyphrases
- artificial intelligence
- machine learning
- optic nerve
- primary care
- sars cov
- cataract surgery
- deep learning
- healthcare
- big data
- coronavirus disease
- palliative care
- particulate matter
- risk assessment
- obstructive sleep apnea
- quality improvement
- high intensity
- clinical practice
- risk factors
- human health
- quantum dots
- sensitive detection