Review of retinal cameras for global coverage of diabetic retinopathy screening.
Ramachandran RajalakshmiVijayaraghavan PrathibaSubramanian ArulmalarManoharan UshaPublished in: Eye (London, England) (2020)
The global burden of diabetes has resulted in an increase in the prevalence of diabetic retinopathy (DR), a microvascular complication of diabetes. Lifelong repetitive screening for DR is essential for early detection and timely management to prevent visual impairment due to the silent sight-threatening disorder. Colour fundus photography (CFP) is helpful for documentation of the retinopathy as well as for counselling the patient. CFP has established roles in DR screening, detection, progression and monitoring of treatment response. DR screening programmes use validated mydriatic or non-mydriatic fundus cameras for retinal imaging and trained image graders identify referable DR. Smartphone-based fundus cameras and handheld fundus cameras that are cost-effective, portable and easy to handle in remote places are gaining popularity in recent years. The images captured with these low-cost devices can be immediately sent to trained ophthalmologists for grading of DR. Recent increase in numbers of telemedicine programmes based on imaging with digital fundus cameras and remote interpretation has facilitated larger population coverage of DR screening and timely referral of those with sight-threatening DR to ophthalmologists. Good-quality retinal imaging and accurate diagnosis are essential to reduce inappropriate referrals. Advances in digital imaging such as ultra-wide field imaging and multi-modal imaging have opened new avenues for assessing DR. Fundus cameras with integrated artificial intelligence (AI)-based automated algorithms can also provide instant DR diagnosis and reduce the burden of healthcare systems. We review the different types of fundus cameras currently used in DR screening and management around the world.
Keyphrases
- diabetic retinopathy
- editorial comment
- optical coherence tomography
- high resolution
- artificial intelligence
- deep learning
- healthcare
- machine learning
- cardiovascular disease
- type diabetes
- primary care
- risk factors
- low cost
- big data
- high throughput
- mass spectrometry
- health insurance
- photodynamic therapy
- skeletal muscle
- social media
- health information
- sensitive detection
- loop mediated isothermal amplification
- quality improvement