Publications by authors named "Periklis Giannakis"

Appropriate graft sizing is imperative for the success of anterior cruciate ligament reconstruction and is more challenging for hamstring autografts than grafts with bone plugs. It is important to select the optimal graft for each patient on the basis of their characteristics. When researching anterior cruciate ligament reconstruction outcomes, we prefer a holistic approach, assessing many variables, including appropriate graft selection and sizing, surgical technique, physical examination, rehabilitation milestones, patient-reported outcomes, and return to sport, to view the whole picture.

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3D printing is becoming increasingly important as time passes, with the latest technologies driving innovation in many fields, including ophthalmology. However, more is needed to know how clinicians can become innovators in their daily practice without needing expert engineering knowledge of the underlying technologies. We aimed to address that shortcoming by developing a pipeline clinicians can use to 3D print.

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This article aims to review current concepts in diagnosing and managing pheochromocytoma and paraganglioma (PPGL). Personalized genetic testing is vital, as 40-60% of tumors are linked to a known mutation. Tumor DNA should be sampled first.

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Patients using immunotherapies like immune checkpoint inhibitors (ICIs) can develop ocular immune-related adverse effects (irAEs). Nivolumab (Opdivo;Bristol-Myers Squibb, New York, NY, USA) is a commonly used ICI used to treat malignancies. A 75-year-old woman presented to our eye clinic with sudden loss in vision in the right eye.

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Purpose: To determine associations between deprivation using the Index of Multiple Deprivation (IMD and individual IMD subdomains) with incident referable diabetic retinopathy/maculopathy (termed rDR).

Methods: Anonymised demographic and screening data collected by the South-East London Diabetic Eye Screening Programme were extracted from September 2013 to December 2019. Multivariable Cox proportional models were used to explore the association between the IMD, IMD subdomains and rDR.

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Background: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed through interval screening by paediatric ophthalmologists. However, improved survival of premature neonates coupled with a scarcity of available experts has raised concerns about the sustainability of this approach. We aimed to develop bespoke and code-free deep learning-based classifiers for plus disease, a hallmark of ROP, in an ethnically diverse population in London, UK, and externally validate them in ethnically, geographically, and socioeconomically diverse populations in four countries and three continents.

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