Clinical & experimental ophthalmology
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Clin. Experiment. Ophthalmol. · Aug 2012
Big-bubble deep anterior lamellar keratoplasty for post-keratitis and post-traumatic corneal stromal scars.
Evaluation of outcomes of big-bubble deep anterior lamellar keratoplasty in cases with post-keratitis and post-traumatic corneal scars. ⋯ Deep anterior lamellar keratoplasty using the big-bubble technique is a viable option in cases with post-infectious keratitis and post-traumatic corneal stromal scarring with normal Descemet's membrane and endothelium.
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Clin. Experiment. Ophthalmol. · Jan 2012
Analysis of aqueous humour proteins in patients with retinoblastoma.
To investigate aqueous humour protein composition from retinoblastoma patients. ⋯ This study represents a preliminary step towards a more accurate two dimensional electrophoresis (2DE) pattern, which will be combined with mass spectrometry analysis to clarify the potential role of specific proteins in tumour development and progression; although these results suggest that aqueous humour protein pattern in retinoblastoma is characteristic, several aspects of the study are still under investigation.
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Clin. Experiment. Ophthalmol. · Jan 2012
Historical ArticleAustralasian ophthalmology: trans-Tasman ties.
Links between Australian and New Zealand ophthalmology began with peripatetic surgeons who worked in both countries. Links continued with the Intercolonial Medical Congresses which began in 1887. ⋯ Common training and qualification programs evolved. The culmination of ties occurred in 1997 when the Ophthalmological Society of New Zealand merged with the Royal Australian College of Ophthalmologists to form the Royal Australian and New Zealand College of Ophthalmologists.
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Clin. Experiment. Ophthalmol. · Dec 2011
Enter the reverend: introduction to and application of Bayes' theorem in clinical ophthalmology.
Ophthalmic practice utilizes numerous diagnostic tests, some of which are used to screen for disease. Interpretation of test results and many clinical management issues are actually problems in inverse probability that can be solved using Bayes' theorem. ⋯ Knowledge of Bayes' theorem helps in interpreting test results and supports the clinical teaching that testing for conditions with a low prevalence has a poor predictive value. In some clinical situations Bayes' theorem can be used to calculate vital data required for patient management.