Imaging Features of Invasive Fungal Rhinosinusitis: A Systematic Review.

Fungal rhinosinusitis (FRS) includes non-invasive and invasive subtypes with the latter having significant morbidity and mortality. This systematic review aims to identify the imaging features most correlated with invasive fungal rhinosinusitis (IFRS) and present a checklist of these features to aid diagnosis. PubMed, Embase, CENTRAL, and Science Direct were searched from inception to May 2023, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Primary research articles published in English describing the imaging features of IFRS were included. The systematic review was conducted in accordance with the PRISMA guidelines. Forty-eight articles were identified for inclusion. Six studies examined radiological features in acute invasive fungal rhinosinusitis (AIFRS), and 9 studies of chronic invasive fungal rhinosinusitis (CIFRS). A majority of studies did not specify whether IFRS cases were acute or chronic. On CT, bony erosion and mucosal thickening were the most common features. Other features include nasal soft tissue thickening, nasal cavity opacification, opacification of the affected sinus, and perisinus soft tissue infiltration. Extra-sinus extension was commonly observed on MRI, most often invading intraorbitally and intracranially. Other sites of extra-sinus extension included the cavernous sinus, pterygopalatine fossa, infratemporal fossa, masticator space, and facial soft tissue. IFRS is a condition with potential for high morbidity and mortality. Several radiological features are highly suggestive of IFRS. Early identification of high-risk radiological features using a checklist may aid prompt diagnosis and early treatment. Future research investigating the radiological differentiation between IFRS and other significant pathology including bacterial orbital cellulitis would be beneficial.

Transorbital Endoscopic Approach to the Foramen Rotundum for Infraorbital Nerve Stripping.

PURPOSE: To develop and evaluate a transorbital endoscopic approach to the foramen rotundum to excise the maxillary nerve and infraorbital nerve branch. METHODS: Cadaveric dissection study of 10 cadaver heads (20 orbits). This technique is predicated upon 1) an inferior orbital fissure release to facilitate access to the orbital apex and 2) the removal of the posterior maxillary wall to enter the pterygopalatine fossa (PPF). Angulations along the infraorbital nerve were quantified as follows: the first angulation was measured between the orbitomaxillary segment within the orbital floor and the pterygopalatine segment suspended within the PPF, while the second angulation was taken between the pterygopalatine segment and maxillary nerve as it exited the foramen rotundum. With refinement of the technique, the minimum amount of posterior maxillary wall removal was quantified in the final 5 cadaver heads (10 orbits). RESULTS: The mean distance from the inferior orbital rim to the foramen rotundum was 45.55 ± 3.24 mm. The first angulation of the infraorbital nerve was 133.10 ± 16.28 degrees, and the second angulation was 124.95 ± 18.01 degrees. The minimum posterior maxillary wall removal to reach the PPF was 11.10 ± 2.56 mm (vertical) and 11.10 ± 2.08 mm (horizontal). CONCLUSIONS: The transorbital endoscopic approach to an en bloc resection of the infraorbital nerve branch up to its maxillary nerve origin provides a pathway to the PPF. This is relevant for nerve stripping in the context of perineural spread. Other applications include access to the superior portion of the PPF in selective biopsy cases or in concurrent orbital pathology.

Beware of little expenses: Low-value endocrinological blood tests in geriatric medical inpatients.

OBJECTIVES: Blood tests for endocrinological derangements are frequently requested in general medical inpatients, in particular those in the older age group. Interrogation of these tests may present opportunities for healthcare savings. METHODS: This multicentre retrospective study over a 2.5-year period examined the frequency with which three common endocrinological investigations [thyroid stimulating hormone (TSH), HbA1c, 25-hydroxy Vitamin D3] were performed in this population, including the frequency of duplicate tests within a given admission, and the frequency of abnormal test results. The Medicare Benefits Schedule was used to calculate the cost associated with these tests. RESULTS: There were 28,564 individual admissions included in the study. Individuals ≥65 years old were the majority of inpatients in whom the selected tests were performed (80% of tests). TSH was performed in 6730 admissions, HbA1c was performed in 2259 admissions, and vitamin D levels were performed in 5632 admissions. There were 6114 vitamin D tests performed during the study period, of which 2911 (48%) returned outside the normal range. The cost associated with vitamin D level testing was $183,726. Over the study period, 8% of tests for TSH, HbA1c, and Vitamin D were duplicates (where a second test was performed within a single admission), which was associated with a cost of $32,134. CONCLUSIONS: Tests for common endocrinological abnormalities are associated with significant healthcare costs. Avenues by which future savings may be pursued include the investigation of strategies to reduce duplicate ordering and examining the rationale and guidelines associated with ordering tests such as vitamin D levels.

The Efficacy, Adverse Effects and Economic Implications of Oral Versus Intravenous Methylprednisolone for the Treatment of Optic Neuritis: A Systematic Review.

INTRODUCTION: Optic neuritis may occur in a variety of conditions, including as a manifestation of multiple sclerosis. Despite significant research into the efficacy of corticosteroids as a first-line treatment, the optimal route of administration has not been well defined. This review aims to explore the efficacy, adverse effects and economic implications of using oral versus intravenous methylprednisolone to treat acute optic neuritis. METHODS: A systematic search of the databases PubMed/MEDLINE, Embase and CENTRAL was performed to July 2022, prior to data collection and risk of bias analysis in accordance with the PRISMA guidelines. RESULTS: Six articles fulfilled the inclusion criteria. The results showed that in the treatment of acute optic neuritis, oral methylprednisolone has a non-inferior efficacy and adverse effect profile in comparison to intravenous methylprednisolone. In a cost analysis, oral methylprednisolone to be more cost-effective than intravenous methylprednisolone. CONCLUSIONS: Oral methylprednisolone has comparable efficacy and adverse effect profiles to intravenous methylprednisolone for the treatment of optic neuritis. The analysis suggests oral administration is more cost-effective than intravenous administration; however, further analyses of the formal cost-benefit ratio are required.

Morganella morganii and Enterococcus faecalis endophthalmitis following intravitreal injection.

BACKGROUND: Endophthalmitis following intravitreal injection is a potentially devastating complication of anti-VEGF injections. Post-injection endophthalmitis due to Enterococcus faecalis is rare, and no previous case of Morganella morganii endophthalmitis after intravitreal injection has been reported. CASE PRESENTATION: We present the first reported case of Morganella morganii and Enterococcus faecalis endophthalmitis after intravitreal injection in an immunocompetent patient in the absence of recent ocular surgery. Our patient presented with hand movement visual acuity one day after anti-VEGF injection and demonstrated no clinical improvement despite repeated intravitreal ceftazidime and vancomycin injections. A decision was made to proceed with early vitrectomy given failure of intravitreal antibiotics. Visual acuity improved to 6/90 at 12 weeks after vitrectomy without any evidence of disease recurrence. CONCLUSIONS: Post-injection endophthalmitis due to concurrent Morganella morganii and Enterococcus faecalis infections can have visually devastating consequences despite repeated empirical and targeted intravitreal antibiotics. Lack of clinical improvement following intravitreal antibiotics should warrant consideration of early vitrectomy. Our experience is a pertinent reminder of the ever-growing threat of uncommon and multi-resistant bacteria that must be considered when treating infections such as post-injection endophthalmitis.

Does Twitter improve the dissemination of ophthalmology scientific publications?

PURPOSE: To determine whether Twitter improves dissemination of ophthalmology scientific publications METHODS: Data were collected on articles published on PubMed between the years 2016 and 2021 (inclusive) and identified with the word "ophthalmology". Twitter performance metrics, including the number of tweets, number of likes, and number of retweets were collected from Twitter using the publicly available scientific API. Machine learning and descriptive statistics were used to outline Twitter performance metrics. RESULTS: The number of included articles was 433710. The percentage of articles that were in the top quartile for citation count, which had ≥1 tweet was 34.4% (number 437/1270). Conversely, the percentage of articles that were in the top quartile for citation count, which had 0 tweets was 27.8% (number 12023/43244). When machine learning was used to predict Twitter performance metrics an AUROC of 0.78 was returned. This was associated with an accuracy of 0.97 CONCLUSION: This study has shown preliminary evidence to support that Twitter may improve the dissemination of scientific ophthalmology publications.

Focus on reuse: reducing waste associated with topical preoperative antiseptics.

PURPOSE: To outline the environmental and financial costs associated with single-use topical antiseptic (5% povidone-iodine [PVI] solution) in the ophthalmology theatre setting and explore potential methods of repurposing topical antiseptics. SETTING: Large tertiary referral center (Flinders Medical Centre, Adelaide, Australia). DESIGN: Single-center prospective observational study. METHODS: Dedicated containers placed in the ophthalmology theatre of the participating institution were used to collect the number of disposed PVI bottles over the 3-week study period. Descriptive statistics were employed to determine the associated packaging bottle weight, mean unused quantity (mL) and cost of the single-use topical PVI solution and costs of unused antiseptic. RESULTS: The total amount of waste generated from the use of single-use PVI bottles during the surveillance period was 10.823 kg, of which 21.9% was preventable; 72% of unused PVI by weight were discarded during the study period, equating to approximately $21 857.60 in wasted pharmaceutical content per year. 100% of the discarded PVI was successfully redirected and reused at a local wildlife rescue organisation and diverted from landfill. CONCLUSIONS: This study has demonstrated that the utilization of single-use topical preoperative PVI preparations is associated with significant financial, pharmaceutical and environmental waste. Future studies examining the recyclability of single-use PVI bottles and investigating systematic strategies to recycle and repurpose this waste are required.

A case study in applying artificial intelligence-based named entity recognition to develop an automated ophthalmic disease registry.

PURPOSE: Advances in artificial intelligence (AI)-based named entity extraction (NER) have improved the ability to extract diagnostic entities from unstructured, narrative, free-text data in electronic health records. However, there is a lack of ready-to-use tools and workflows to encourage the use among clinicians who often lack experience and training in AI. We sought to demonstrate a case study for developing an automated registry of ophthalmic diseases accompanied by a ready-to-use low-code tool for clinicians. METHODS: We extracted deidentified electronic clinical records from a single centre's adult outpatient ophthalmology clinic from November 2019 to May 2022. We used a low-code annotation software tool (Prodigy) to annotate diagnoses and train a bespoke spaCy NER model to extract diagnoses and create an ophthalmic disease registry. RESULTS: A total of 123,194 diagnostic entities were extracted from 33,455 clinical records. After decapitalisation and removal of non-alphanumeric characters, there were 5070 distinct extracted diagnostic entities. The NER model achieved a precision of 0.8157, recall of 0.8099, and F score of 0.8128. CONCLUSION: We presented a case study using low-code artificial intelligence-based NLP tools to produce an automated ophthalmic disease registry. The workflow created a NER model with a moderate overall ability to extract diagnoses from free-text electronic clinical records. We have produced a ready-to-use tool for clinicians to implement this low-code workflow in their institutions and encourage the uptake of artificial intelligence methods for case finding in electronic health records.

Optimising vitrectomy operation note coding with machine learning.

BACKGROUND: The accurate encoding of operation notes is essential for activity-based funding and workforce planning. The aim of this project was to evaluate the procedural coding accuracy of vitrectomy and to develop machine learning, natural language processing (NLP) models that may assist with this task. METHODS: This retrospective cohort study involved vitrectomy operation notes between a 21-month period at the Royal Adelaide Hospital. Coding of procedures were based on the Medicare Benefits Schedule (MBS)-the Australian equivalent to the Current Procedural Terminology (CPT®) codes used in the United States. Manual encoding was conducted for all procedures and reviewed by two vitreoretinal consultants. XGBoost, random forest and logistic regression models were developed for classification experiments. A cost-based analysis was subsequently conducted. RESULTS: There were a total of 1724 procedures with individual codes performed within 617 vitrectomy operation notes totalling $1 528 086.60 after manual review. A total of 1147 (66.5%) codes were missed in the original coding that amounted to $736 539.20 (48.2%). Our XGBoost model had the highest classification accuracy (94.6%) in the multi-label classification for the five most common procedures. The XGBoost model was the most successful model in identifying operation notes with two or more missing codes with an AUC of 0.87 (95% CI 0.80-0.92). CONCLUSIONS: Machine learning has been successful in the classification of vitrectomy operation note encoding. We recommend a combined human and machine learning approach to clinical coding as automation may facilitate more accurate reimbursement and enable surgeons to prioritise higher quality clinical care.

Detection of systemic cardiovascular illnesses and cardiometabolic risk factors with machine learning and optical coherence tomography angiography: a pilot study.

BACKGROUND/OBJECTIVES: Optical coherence tomography angiography (OCTA) has been found to identify changes in the retinal microvasculature of people with various cardiometabolic factors. Machine learning has previously been applied within ophthalmic imaging but has not yet been applied to these risk factors. The study aims to assess the feasibility of predicting the presence or absence of cardiovascular conditions and their associated risk factors using machine learning and OCTA. METHODS: Cross-sectional study. Demographic and co-morbidity data was collected for each participant undergoing 3 × 3 mm, 6 × 6 mm and 8 × 8 mm OCTA scanning using the Carl Zeiss CIRRUS HD-OCT model 5000. The data was then pre-processed and randomly split into training and testing datasets (75%/25% split) before being applied to two models (Convolutional Neural Network and MoblieNetV2). Once developed on the training dataset, their performance was assessed on the unseen test dataset. RESULTS: Two hundred forty-seven participants were included. Both models performed best in predicting the presence of hyperlipidaemia in 3 × 3 mm scans with an AUC of 0.74 and 0.81, and accuracy of 0.79 for CNN and MobileNetV2 respectively. Modest performance was achieved in the identification of diabetes mellitus, hypertension and congestive heart failure in 3 × 3 mm scans (all with AUC and accuracy >0.5). There was no significant recognition for 6 × 6 and 8 × 8 mm for any cardiometabolic risk factor. CONCLUSION: This study demonstrates the strength of ML to identify the presence cardiometabolic factors, in particular hyperlipidaemia, in high-resolution 3 × 3 mm OCTA scans. Early detection of risk factors prior to a clinically significant event, will assist in preventing adverse outcomes for people.

Fundus fluorescein angiography imaging of retinopathy of prematurity in infants: A review.

Fluorescein angiography in retinopathy of prematurity is increasingly utilized over the past decade. The development of ultra-wide-field imaging combined with fluorescein angiography has allowed improved visualization of the peripheral retinal vasculature. Patient cooperation in the pediatric population is particularly challenging, but hand-held digital retinal photography has shown promise and can visualize the infant retina without the need for anesthesia and intravenous access. Many features of retinopathy of prematurity and its response to laser and anti-VEGF treatment can be either exclusively or better visualized on fluorescein angiography compared to indirect ophthalmoscopy or color fundus photography. Disease treatment is gradually shifting from laser photocoagulation to intravitreal anti-VEGF agents, the latter being associated with late-onset vision-threatening sequelae. The role of fluorescein angiography in retinopathy of prematurity monitoring will continue to increase with the longer follow-up required and different clinical behavior seen with anti-VEGF treatment. We highlight the utility, safety, and importance of fluorescein angiography in the diagnosis, treatment, and follow-up of retinopathy of prematurity.

Cogan's Lid Twitch for Myasthenia Gravis: A Systematic Review.

INTRODUCTION: Myasthenia gravis is an autoimmune condition affecting the neuromuscular junction of skeletal muscles and may be difficult to diagnose. Several clinical signs may have diagnostic utility, including Cogan's lid twitch. This systematic review aims to synthesise the literature on the accuracy of Cogan's lid twitch for diagnosing myasthenia gravis. METHODS: A systematic search of the databases PubMed/MEDLINE, Embase and CENTRAL was performed from inception to August 2022. Risk of bias analysis and data extraction were performed in accordance with the PRISMA 2020 guidelines. RESULTS: Seven articles satisfied the inclusion criteria. The results showed that for the diagnosis of myasthenia gravis, Cogan's lid twitch has a sensitivity between 50% and 99% and specificity between 75% and 100%. CONCLUSIONS: Cogan's lid twitch is a physical examination finding with moderate diagnostic performance in the diagnosis of myasthenia gravis with ocular involvement. Future studies may seek to evaluate the performance of Cogan's lid twitch in conjunction with other signs of myasthenia gravis with ocular involvements, such as fatigable ptosis or a positive icepack test.