ArticleAmerican journal of ophthalmology2021
Classification Criteria for Multifocal Choroiditis With Panuveitis.
Article in American journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- MEWDS-like Presentation Unmasking Sequential Bilateral Multifocal Choroiditis: Insights from Longitudinal Multimodal Imaging.Biomedicines · 2026Article
- Analysis of the etiology, clinical characteristics and treatment outcomes of choroidal neovascularization in Chinese children and adolescents.BMC ophthalmology · 2025Article
- Compositional variation in eye-infiltrating immune cells distinguishes human uveitis subtypes.iScience · 2025Article
- Atypical choroidal neovascular membrane.American journal of ophthalmology case reports · 2024Article
- Punctate Inner Choroiditis.Advances in ophthalmology and optometry · 2024Article
- Artificial intelligence in chorioretinal pathology through fundoscopy: a comprehensive review.International journal of retina and vitreous · 2024Review
- Artificial Intelligence in Uveitis: Innovations in Diagnosis and Therapeutic Strategies.Clinical ophthalmology (Auckland, N.Z.) · 2024Review
- The role of a multicentre data repository in ocular inflammation: The Ocular Autoimmune Systemic Inflammatory Infectious Study (OASIS).Eye (London, England) · 2023Review
- Association of Risk Variants in the CFH Gene With Elevated Levels of Coagulation and Complement Factors in Idiopathic Multifocal Choroiditis.JAMA ophthalmology · 2023Article
- The Conundrum of Clinical Trials for the Uveitides: Appropriate Outcome Measures for One Treatment Used in Several Diseases.Epidemiologic reviews · 2022Article
- Corneal Endothelial Cell Loss after Ciliary Sulcus Placement of Ahmed Glaucoma Valve in Patients with Noninfectious Uveitic Glaucoma.Journal of personalized medicine · 2022Article
- The standardisation of uveitis nomenclature (SUN) project.Clinical & experimental ophthalmology · 2022Review
- Article
- [Development of classification criteria for uveitis by the standardization of uveitis nomenclature (SUN) working group].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021Review
- Classification Criteria for Punctate Inner Choroiditis.American journal of ophthalmology · 2021Article
- Development of Classification Criteria for the Uveitides.American journal of ophthalmology · 2021Article
- Central Multifocal Choroiditis: Platelet Granularity as a Potential Marker for Treatment With Steroid-Sparing Immunomodulatory Therapy.Frontiers in ophthalmology · 2021Article
- An update of multimodal imaging in white dot syndrome.Oman journal of ophthalmologyReview
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1 author.
Funding
Abstract
purposeTo determine classification criteria for multifocal choroiditis with panuveitis (MFCPU).
designMachine learning of cases with MFCPU and 8 other posterior uveitides.
methodsCases of posterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the posterior uveitides. The resulting criteria were evaluated on the validation set.
resultsOne thousand sixty-eight cases of posterior uveitides, including 138 cases of MFCPU, were evaluated by machine learning. Key criteria for MFCPU included (1) multifocal choroiditis with the predominant lesions size >125 µm in diameter; (2) lesions outside the posterior pole (with or without posterior involvement); and either (3) punched-out atrophic chorioretinal scars or (4) more than minimal mild anterior chamber and/or vitreous inflammation. Overall accuracy for posterior uveitides was 93.9% in the training set and 98.0% (95% confidence interval 94.3, 99.3) in the validation set. The misclassification rates for MFCPU were 15% in the training set and 0% in the validation set.
conclusionsThe criteria for MFCPU had a reasonably low misclassification rate and seemed to perform sufficiently well for use in clinical and translational research.
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