Classification Criteria for Birdshot Chorioretinitis.

Academic Article


  • PURPOSE: To determine classification criteria for birdshot chorioretinitis. DESIGN: Machine learning of cases with birdshot chorioretinitis and 8 other posterior uveitides. METHODS: Cases 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 infectious posterior uveitides / panuveitides. The resulting criteria were evaluated on the validation set. RESULTS: One thousand sixty-eight cases of posterior uveitides, including 207 cases of birdshot chorioretinitis, were evaluated by machine learning. Key criteria for birdshot chorioretinitis included a multifocal choroiditis with (1) the characteristic appearance of a bilateral multifocal choroiditis with cream-colored or yellow-orange, oval or round choroidal spots ("birdshot" spots); (2) absent to mild anterior chamber inflammation; and (3) absent to moderate vitreous inflammation; or multifocal choroiditis with positive HLA-A29 testing and either classic "birdshot spots" or characteristic imaging on indocyanine green angiography. 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 birdshot chorioretinitis were 10% in the training set and 0% in the validation set. CONCLUSIONS: The criteria for birdshot chorioretinitis had a low misclassification rate and seemed to perform sufficiently well for use in clinical and translational research.
  • Authors

    Published In


  • Birdshot Chorioretinopathy, Choroid, Consensus, Female, Fluorescein Angiography, Fundus Oculi, Humans, Machine Learning, Male, Middle Aged, Retina
  • Digital Object Identifier (doi)

    Pubmed Id

  • 7895378
  • Author List

  • Standardization of Uveitis Nomenclature (SUN) Working Group
  • Start Page

  • 65
  • End Page

  • 71
  • Volume

  • 228