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PRCIS: This survey highlights a deficiency in gonioscopy practices across the UK, particularly in the utilization of indentation gonioscopy and training of junior ophthalmologists. Recommendations include standardizing practice and enhancing training opportunities to improve patient care. BACKGROUND: Gonioscopy is an important general skill learnt and practised by all grades of ophthalmologists. The aim of this study is to discover the general attitude, perception and practice of gonioscopy among ophthalmologists in the UK. METHODS: A National gonioscopy survey was carried out by utilising an anonymous electronic questionnaire of 18 questions. The questionnaire was electronically distributed online, using the survey tool, Microsoft 2016 'MS Forms' to all grades of ophthalmologists in the UK. RESULTS: A total of 146 responses were analysed. Overall, 89% of the participants felt 'comfortable in performing slit lamp gonioscopy' but only 38% of junior trainees (ophthalmic specialist trainees years 1-3) felt comfortable in gonioscopy. Only 13% of the junior trainees felt they had adequate training in performing gonioscopy compared with 68% of the total respondents. Surprisingly, the majority of consultants (58%) did not 'strongly agree' to being confident in assessing the angle and its configuration on gonioscopy. The most commonly used gonioscopic lens in this survey was the Zeiss four-mirror gonio lens, but only 38% of participants performed indentation gonioscopy routinely. The majority of the participants utilised the modified Shaffer's classification for gonioscopy. Fewer than expected numbers performed gonioscopy routinely for new glaucoma patients. CONCLUSION: This survey suggests that gonioscopy is not being performed according to the UK national recommendations and few ophthalmologists perform indentation gonioscopy. Additional gonioscopy training in the curriculum may be helpful.
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Large language models (LLMs) underlie remarkable recent advanced in natural language processing, and they are beginning to be applied in clinical contexts. We aimed to evaluate the clinical potential of state-of-the-art LLMs in ophthalmology using a more robust benchmark than raw examination scores. We trialled GPT-3.5 and GPT-4 on 347 ophthalmology questions before GPT-3.5, GPT-4, PaLM 2, LLaMA, expert ophthalmologists, and doctors in training were trialled on a mock examination of 87 questions. Performance was analysed with respect to question subject and type (first order recall and higher order reasoning). Masked ophthalmologists graded the accuracy, relevance, and overall preference of GPT-3.5 and GPT-4 responses to the same questions. The performance of GPT-4 (69%) was superior to GPT-3.5 (48%), LLaMA (32%), and PaLM 2 (56%). GPT-4 compared favourably with expert ophthalmologists (median 76%, range 64-90%), ophthalmology trainees (median 59%, range 57-63%), and unspecialised junior doctors (median 43%, range 41-44%). Low agreement between LLMs and doctors reflected idiosyncratic differences in knowledge and reasoning with overall consistency across subjects and types (p>0.05). All ophthalmologists preferred GPT-4 responses over GPT-3.5 and rated the accuracy and relevance of GPT-4 as higher (p<0.05). LLMs are approaching expert-level knowledge and reasoning skills in ophthalmology. In view of the comparable or superior performance to trainee-grade ophthalmologists and unspecialised junior doctors, state-of-the-art LLMs such as GPT-4 may provide useful medical advice and assistance where access to expert ophthalmologists is limited. Clinical benchmarks provide useful assays of LLM capabilities in healthcare before clinical trials can be designed and conducted.
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Retinal artery occlusion is an unusual phenomenon in younger patients without background of diseases leading to hypercoagulable states. COVID-19 infection is increasingly recognised as being associated with thrombotic conditions. We present a case of a young female who is otherwise fit and well apart from recent COVID-19 infection, who presented with a mixed cilioretinal artery and venous occlusion.
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PURPOSE: We report two patients who presented initially to ophthalmology clinics with symptoms and signs of orbital inflammation that led to a diagnosis of Erdheim-Chester Disease (ECD). OBSERVATIONS: ECD is a rare form of non-Langerhans cell histiocytosis (LCH) which is characterised by multi-system organ involvement and poor prognosis with standard therapies. Both patients were positive for the BRAF V600E mutation on genetic testing and were treated with the BRAF inhibitors Vemurafenib and Dabrafenib respectively. These cases highlight the variable clinical presentation and course of ECD, the classical radiological and histopathological findings, and the high degree of clinical suspicion necessary to reach this diagnosis. CONCLUSIONS AND IMPORTANCE: The combination of xanthelasma and bilateral, diffuse intraconal orbital masses must suggest to the clinician the possibility of ECD; and consideration to arrange further investigation with a full body CT or FDG PET/CT scan should be given, even in the absence of wider systemic symptoms or signs. With the advent of targeted therapies such as BRAF inhibitors, it is of even more importance that a diagnosis of ECD is established in a timely manner in order to give these patients the best chance of reduced morbidity and increased survival.
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F ENO suppression testing is practical and feasible during assessment for biologics in severe asthma. Patients with significant F ENO suppression were less likely to be recommended biologics but saw similar reductions in exacerbation frequency. http://bit.ly/35oSoxP.
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MOTIVATION: Background correction is an important preprocess in cDNA microarray data analysis. A variety of methods have been used for this purpose. However, many kinds of backgrounds, especially inhomogeneous ones, cannot be estimated correctly using any of the existing methods. In this paper, we propose the use of the TV+L1 model, which minimizes the total variation (TV) of the image subject to an L1-fidelity term, to correct background bias. We demonstrate its advantages over the existing methods by both analytically discussing its properties and numerically comparing it with morphological opening. RESULTS: Experimental results on both synthetic data and real microarray images demonstrate that the TV+L1 model gives the restored intensity that is closer to the true data than morphological opening. As a result, this method can serve an important role in the preprocessing of cDNA microarray data.