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OCT in neuro-ophthalmology: A practical overview

From multiple sclerosis to raised intracranial pressure, optical coherence tomography is transforming how we diagnose, monitor and predict outcomes across the full spectrum of neuro-ophthalmic disease. Optical coherence tomography (OCT) is a rapid imaging method that utilises light waves to...

Clinical relevance of the anatomic classification of neovascular age-related macular degeneration

The author explains why an OCT-based classification of neovascular AMD is needed and how these neovascular subtypes may help to predict patients’ long-term visual outcome. Age-related macular degeneration (AMD) is a chronic and progressive neurodegenerative process involving the macula in...

Imaging within clinical research trials

Clinical research is essential to the future of healthcare and the wellbeing of patients, no matter what health condition they face. Many patients who choose to participate in clinical research studies in ophthalmology find optimism in discovering novel medicines to...

Typical or surprisingly uncharacteristic presentations of neuro-ophthalmic emergencies

Irrespective of geographical location or patient cohort, emergency departments are high risk locations capable of inspiring extreme anxiety and dread in patients and doctors alike. The stress multiplies when a walk-in or referred case is suspected of underlying neurological pathology....

Optic nerve swelling – your survival guide (part 1)

Assessment of optic nerve appearance and functions is a daily routine in neuro-ophthalmology. Following a recent high profile court case there has been a significant increase in the amount of referral to ophthalmology departments to assess the optic nerve and...

Understanding amniotic membrane grafts

Safa Elhassan gives a brief review of amniotic membrane grafts and their application in theatre and clinic-based settings. Amniotic membrane (AM) transplant has been an established adjuvant treatment for many corneal, conjunctival and scleral disorders in ophthalmic clinical practice with...

A closer look at the new wave of glaucoma surgery – radical or old school?

Glaucoma is a challenging condition to treat because the exact pathophysiology remains unclear and the only readily modifiable factor is the intraocular pressure (IOP). Additionally, most glaucoma patients are completely asymptomatic, yet are often subjected to lifelong medical therapy. The...

Surgical treatment of high myopia

Although several excellent modalities are available for correcting high myopia, the surgical treatment of this condition remains one of the biggest challenges for refractive surgeons; this group of patients is often very dependent on contact lenses. If these patients become...

Cutting-edge practice in glaucoma care: what, how and why?

More effective treatments and drug delivery modalities, implantable minimally invasive glaucoma surgical (MIGS) devices, as well as accelerating clinical research programmes, will transform the surgical and clinical management of glaucoma in the near future. There is also an ever-greater emphasis...

What’s next in retinal imaging? Faster, deeper and full-on

Fast-evolving technological leaps are opening the way toward clinically useful ocular coherence angiography, generating 3-dimensional microvasculature maps without intravenous dye injection, as well as whole-eye imaging, handheld patient-operated optical coherence tomography (OCT) devices and, for challenging vitreoretinal procedures, integrated intraoperative...

Neovascular AMD: fresh recommendations underline standards of best practice

The management of neovascular age-related macular degeneration (nAMD) has advanced dramatically over the past seven years, with the introduction of targeted new therapies that successfully maintain or improve vision in a majority of affected individuals. It’s a fast moving field,...

Coming to terms with AI

A machine might be called intelligent if its response to questions could convince a person that it was human, a test proposed by Alan Turing in 1950 [1]. The author considers potential applications of artificial intelligence (AI) using machine learning...