JFO Open Ophthalmology最新文献

{"title":"Screentime and myopia: can technology offer solutions?","authors":"Michael Balas , Kamiar Mireskandari , Matthew B. Schlenker","doi":"10.1016/j.jfop.2024.100125","DOIUrl":"10.1016/j.jfop.2024.100125","url":null,"abstract":"","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"7 ","pages":"Article 100125"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949889924000497/pdfft?md5=2831bc98e70b9fd8caf15b3f5e66755a&pid=1-s2.0-S2949889924000497-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From eyelid discomfort to sarcoidosis diagnosis: A patient's journey","authors":"Younes Tlemcani, Anass Boujaada, Ismail Boujida, Rania Lakraa, Lobna Robbana, Kamal Elmajdoubi, Kaoutar Znati, Elhassan Abdallah","doi":"10.1016/j.jfop.2024.100120","DOIUrl":"https://doi.org/10.1016/j.jfop.2024.100120","url":null,"abstract":"","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"7 ","pages":"Article 100120"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949889924000448/pdfft?md5=b0a5fa7ef79231e6884659d013320ced&pid=1-s2.0-S2949889924000448-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141444374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ocular surface alterations in agricultural workers exposed to pesticides in Cundinamarca, Colombia","authors":"Yuly-N. Franco ,&nbsp;Lina-F. Gama ,&nbsp;Alejandro León-Álvarez ,&nbsp;Martín-E. Giraldo ,&nbsp;J.-Cesar Montañez ,&nbsp;Sandra-C. Durán-Cristiano","doi":"10.1016/j.jfop.2024.100122","DOIUrl":"10.1016/j.jfop.2024.100122","url":null,"abstract":"<div><h3>Background</h3><p>The cholinergic system regulates a variety of structures on the ocular surface and maintains homeostasis. Therefore, dysregulation of cholinergic activity could impact lacrimal and conjunctival function. Consequently, exposure of the ocular surface to chemical agents, including pesticides such as acetylcholinesterase inhibitors, which interact closely with the ocular surface and anterior segment, could affect ocular homeostasis. In this study, we assess alterations in the ocular surface in workers exposed to organophosphate pesticides.</p></div><div><h3>Methods</h3><p>A cross-sectional study was conducted involving 39 participants (23 controls and 16 cases exposed to agrochemicals). The ocular surface of all subjects was assessed using the Schirmer test, TBUT, conjunctival impression cytology, and the Q16 neurotoxicity and ocular symptoms questionnaire by Donate.</p></div><div><h3>Results</h3><p>Conjunctival hyperemia, impression cytology and Schirmer test were found to be altered in the workers exposed to cholinesterase inhibitor pesticides.</p></div><div><h3>Conclusion</h3><p>These findings suggest that ocular surface alterations can be seen in organophosphate pesticide exposure, and that lacrimal hypersecretion could be an ocular biomarker for detecting pesticide effects before adverse clinical effects occur.</p></div>","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"7 ","pages":"Article 100122"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949889924000461/pdfft?md5=8fcdffc0cdbf98d2e0b64e71730f62bb&pid=1-s2.0-S2949889924000461-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141961377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of cycloplegia on intraocular pressure with and without adjusting for central corneal thickness in patients with diabetes mellitus","authors":"Navid Elmi Sadr ,&nbsp;Seyyedeh Sedigheh Mirsharif ,&nbsp;Samaneh Lavvaf ,&nbsp;Ramyar Hariri","doi":"10.1016/j.jfop.2024.100121","DOIUrl":"https://doi.org/10.1016/j.jfop.2024.100121","url":null,"abstract":"<div><h3>Purpose</h3><p>To assess and compare the effects of cycloplegia using 0.5% tropicamide and 1% tropicamide on intraocular pressure (IOP) in patients with diabetes mellitus, with and without considering adjustments for central corneal thickness (CCT).</p></div><div><h3>Methods</h3><p>A total of 98 eyes of 98 patients with open angles were included. Patients were randomly assigned to receive either 0.5% tropicamide (49 eyes) or 1% tropicamide (49 eyes). IOP was measured by Goldmann applanation tonometry. Pupillary diameter and CCT were measured by a Pentacam HR (Oculus Optikgeräte GmbH, Wetzlar, Germany) before and 30 min after tropicamide administration.</p></div><div><h3>Results</h3><p>The mean IOP change was 0.12 ± 1.71 mmHg in the 0.5% tropicamide group and 0.25 ± 1.70 mmHg in the 1% tropicamide group. These two values were not significantly different, even after adjusting IOP for CCT using all formulae (P &gt; 0.05). Without adjustment, the mean post-dilation IOP was similar to the mean pre-dilation IOP in both groups (P &gt; 0.5), and none of the patients experienced an IOP increase of 5 mmHg or more. With adjustment, the mean IOP increased significantly after administration of 0.5% tropicamide, as determined by the Ehlers formula (P = 0.02). Similarly, the mean IOP increased significantly after administration of 1% tropicamide, as determined by the Ehlers formula (P = 0.008), the Doughty formula (P = 0.03), and the Kohlhaas formula (P = 0.04). In each study group, a single patient encountered an increase in IOP ≥5 mmHg when IOP adjustment was performed using the Ehlers formula.</p></div><div><h3>Conclusion</h3><p>Cycloplegia with 0.5% and 1% tropicamide leads to similar mean changes in IOP in patients with diabetes. However, the statistical significance of the change and the occurrence of the significant increases in IOP, as determined by a predefined cut-off point, are dependent upon the method used to adjust the IOP.</p></div>","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"7 ","pages":"Article 100121"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S294988992400045X/pdfft?md5=3a6d5d22adae6bb7e4ad82f841c495f0&pid=1-s2.0-S294988992400045X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141481493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Central macular thinning in fibromyalgia: unveiling the pathological link?","authors":"Muhammad A’araf Sirojan Kusuma ,&nbsp;Yuliono Trika Nur Hasan ,&nbsp;Ana Rahmawati ,&nbsp;Zulvikar Syambani Ulhaq","doi":"10.1016/j.jfop.2024.100127","DOIUrl":"10.1016/j.jfop.2024.100127","url":null,"abstract":"","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"7 ","pages":"Article 100127"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949889924000515/pdfft?md5=3f24a3e4e75de8badb829e40ce8b77e7&pid=1-s2.0-S2949889924000515-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142096571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of an automated machine learning model for the multi-class classification of diabetic retinopathy, central retinal vein occlusion and branch retinal vein occlusion based on color fundus photographs","authors":"Carolyn Yu Tung Wong ,&nbsp;Timing Liu ,&nbsp;Tin Lik Wong ,&nbsp;Justin Man Kit Tong ,&nbsp;Henry Hing Wai Lau ,&nbsp;Pearse Andrew Keane","doi":"10.1016/j.jfop.2024.100117","DOIUrl":"10.1016/j.jfop.2024.100117","url":null,"abstract":"<div><h3>Introduction</h3><p>Automated machine learning (AutoML) is a novel artificial intelligence (AI) strategy that enables clinicians without coding experience to develop their own AI models. This study assessed the discriminative performance of AutoML in differentiating diabetic retinopathy (DR), central retinal vein occlusion (CRVO) and branch retinal vein occlusion (BRVO) from normal fundi using color fundus photographs (CFPs).</p></div><div><h3>Methods</h3><p>We carried out AutoML model design using CFPs retrieved from a publicly available CFP data set (3200 labelled images). The retrieved CFPs were reviewed for quality and then uploaded to the Google Cloud Vertex AI platform for AutoML training and testing. We trained a multi-class classification model to differentiate DR, CRVO, BRVO from normal fundi using 875 CFPs and externally validated the model using 210 CFPs obtained from another dataset. Performance metrics, including area under receiver operator curve (AUROC) and sensitivity were reported. We then compared the AutoML model to state-of-the-art deep learning (DL)-based DR and RVO multi-class models identified through a literature search.</p></div><div><h3>Results</h3><p>Our AutoML model showed high discriminative performance in the multi-class classification of DR, CRVO and BRVO based on CFPs, with an AUROC, precision and recall reaching 0.995, 95.4% and 95.4% respectively at the 0.5 confidence threshold. The per-label sensitivity and specificity, respectively, were normal fundi (97.5%, 100%), DR (100%, 93.88%), CRVO (66.67%, 100%) and BRVO (71.43%, 98.73%). Our AutoML model generally showed similar performance to the state-of-the-art DL classifiers.</p></div><div><h3>Conclusion</h3><p>Our AutoML model can detect DR, CRVO, and BRVO in CFPs with good diagnostic accuracy and is a potentially useful screening tool.</p></div>","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"7 ","pages":"Article 100117"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949889924000412/pdfft?md5=fa5e7a57334f2b50af0b3e11311a40af&pid=1-s2.0-S2949889924000412-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141408054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive optics imaging in ophthalmology: Redefining vision research and clinical practice","authors":"Michael Balas ,&nbsp;Vethushan Ramalingam ,&nbsp;Bhadra Pandya ,&nbsp;Ahmed Abdelaal ,&nbsp;Runjie Bill Shi","doi":"10.1016/j.jfop.2024.100116","DOIUrl":"https://doi.org/10.1016/j.jfop.2024.100116","url":null,"abstract":"<div><p>Adaptive Optics (AO) has emerged as a revolutionary technology in ophthalmology, offering an unprecedented view into the eye's microstructures with high-resolution imaging capabilities. Originally developed for astronomy, AO technology has been adapted to correct the eye’s optical aberrations, enabling the visualization of individual cellular structures such as photoreceptors, retinal pigment epithelium cells, and capillaries within the retinal vasculature. This review provides a comprehensive overview of AO, discussing its historical background, technical principles, and incorporation into existing systems. We explore its transformative impact on ophthalmic research and clinical practice, highlighting its role in enhancing our understanding of ocular physiology, disease progression, and response to therapies. The clinical applications of AO, including early disease detection and monitoring, are examined alongside the patient experience and economic considerations. Despite its potential, AO's widespread adoption is currently limited by factors such as high costs, technical complexity, and patient cooperation challenges. We discuss these barriers and the innovative solutions emerging to overcome them, including system simplification, expanded fields of view, and advanced image analysis techniques. The article concludes by reflecting on the promising future of AO, with its evolving role in disease management, surgical planning, and systemic disease monitoring. As AO technology continues to advance, it promises to reshape the landscape of ophthalmic care, offering deeper insights into eye health and more precise patient care.</p></div>","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"7 ","pages":"Article 100116"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949889924000400/pdfft?md5=fe308c1e18f7b580564391aab3d5a946&pid=1-s2.0-S2949889924000400-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141325253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of predictive value of artificial intelligence for ophthalmic diseases using electronic health records: A systematic review and meta-analysis","authors":"Tina Felfeli ,&nbsp;Ryan S. Huang ,&nbsp;Tin-Suet Joan Lee ,&nbsp;Eleanor R. Lena ,&nbsp;Amy Basilious ,&nbsp;Daniel Lamoureux ,&nbsp;Shuja Khalid","doi":"10.1016/j.jfop.2024.100124","DOIUrl":"10.1016/j.jfop.2024.100124","url":null,"abstract":"<div><h3>Purpose</h3><p>The application of artificial intelligence (AI) in ophthalmology has shown significant promise across various clinical domains. This study addresses the need for assessing the predictive value of AI models utilizing electronic health records (EHRs) for diagnosis, prognostication and management of ocular diseases.</p></div><div><h3>Methods</h3><p>A search was conducted using Ovid MEDLINE, Ovid EMBASE, and Cochrane Central for relevant studies published between January 2010 to February 2023 on predictive value of AI algorithms in ophthalmic EHRs. The study followed the Preferred Reporting Items for a Systematic Review and Meta-analysis (PRISMA) guidelines, with a protocol registered on Prospero (registration number: CRD42022303128). A bivariate random effects model was used to perform the meta-analysis. The ROBINS-I tool was used to assess methodological quality and applicability of the included studies.</p></div><div><h3>Results</h3><p>Out of 4968 initial records, 41 studies met the inclusion criteria, comprising a total of 639,637 patients, with an average disease prevalence of 11%. The studies exhibited a diagnostic odds ratio of 18.527 (95% CI: 9.654–35.556), sensitivity of 0.811 (95% CI: 0.751−0.859), specificity of 0.812 (95% CI: 0.736−0.87) and Grading of Recommendations, Assessment, Development and Evaluation (GRADE) moderate. Likelihood ratios (LR+ and LR−) were 4.316 (95% CI: 2.938–6.339) and 0.233 (95% CI: 0.169−0.322), respectively. False positive rate was 0.188 (95% CI: 0.13−0.264). Inter-rate concordance for ROBINS-I scoring had a kappa score of 0.83. Out of the 41 studies, 22 had an overall low risk of bias, and 19 had a moderate risk of bias. There was a low to moderate quality of body of evidence for the reported outcomes.</p></div><div><h3>Conclusion</h3><p>This meta-analysis affirms the substantial potential of AI models utilizing EHRs for predictive modeling and clinical management of ocular diseases. Future research should emphasize external validation and standardized reporting for better implementation of AI in ophthalmic practice.</p></div>","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"7 ","pages":"Article 100124"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949889924000485/pdfft?md5=e5ea080be55ac1ae21a94b4c2bf9a8d0&pid=1-s2.0-S2949889924000485-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141839262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stevens–Johnson syndrome presenting with eyelid ulceration without conjunctival involvement","authors":"Patrick J. Hunt ,&nbsp;Amina I. Malik","doi":"10.1016/j.jfop.2024.100085","DOIUrl":"10.1016/j.jfop.2024.100085","url":null,"abstract":"<div><p>A 43-year-old male with paraplegia presented to the emergency department with sepsis secondary to decubital ulcers with sacral osteomyelitis. He was treated with broad spectrum intravenous antibiotics including sulfamethoxazole/trimethoprim. On day 3 of treatment, he developed bilateral upper eyelid skin ulceration and hyperpigmentation. Conjunctival examination was within normal limits. His ulceration was suspected to be secondary to Stevens-Johnson syndrome (SJS). Sulfamethoxazole/trimethoprim was discontinued and the patient’s eyelid ulceration fully resolved within 72 h, supporting the diagnosis of SJS. Skin hyperpigmentation fully resolved within two weeks. To the authors’ knowledge, this is the first case in the English literature of SJS with eyelid ulceration without conjunctival involvement.</p></div>","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"6 ","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949889924000096/pdfft?md5=8f60849e22d6c0a2d3c7f1aec2bbb7d1&pid=1-s2.0-S2949889924000096-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139886193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Herpetic geographic ulcer in a penetrating keratoplasty patient","authors":"Estela Rojas,&nbsp;Marina García","doi":"10.1016/j.jfop.2024.100110","DOIUrl":"https://doi.org/10.1016/j.jfop.2024.100110","url":null,"abstract":"","PeriodicalId":100740,"journal":{"name":"JFO Open Ophthalmology","volume":"6 ","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949889924000345/pdfft?md5=dbbaf1334c85a6a73d28c475cbfe2276&pid=1-s2.0-S2949889924000345-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140910067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}