An evidence-based approach to the routine use of optical coherence tomography.
Angelica LyJack PhuPaula KatalinicMichael KalloniatisPublished in: Clinical & experimental optometry (2018)
Optical coherence tomography is an imaging technology that has revolutionised the detection, assessment and management of ocular disease. It is now a mainstream technology in clinical practice and is performed by non-specialised personnel in some settings. This article provides a clinical perspective on the implications of that movement and describes best practice using multimodal imaging and an evidence-based approach. Practical, illustrative guides on the interpretation of optical coherence tomography are provided for three major diseases of the ocular fundus, in which optical coherence tomography is often crucial to management: age-related macular degeneration, diabetic retinopathy and glaucoma. Topics discussed include: cross-sectional and longitudinal signs in ocular disease, so-called 'red-green' disease whereby clinicians rely on machine/statistical comparisons for diagnosis in managing treatment-naïve patients, and the utility of optical coherence tomography angiography and machine learning.
Keyphrases
- diabetic retinopathy
- optical coherence tomography
- optic nerve
- clinical practice
- cross sectional
- machine learning
- high resolution
- age related macular degeneration
- healthcare
- ejection fraction
- primary care
- deep learning
- palliative care
- prognostic factors
- patient reported outcomes
- chronic pain
- mass spectrometry
- smoking cessation