Publications by authors named "Isabelle Anne Meunier"

Purpose: The NIGHT study aimed to assess the natural history of choroideremia (CHM), an X-linked inherited chorioretinal degenerative disease leading to blindness, and determine which outcomes would be the most sensitive for monitoring disease progression.

Design: A prospective, observational, multicenter cohort study.

Methods: Males aged ≥18 years with genetically confirmed CHM, visible active disease within the macular region, and best-corrected visual acuity (BCVA) ≥34 Early Treatment Diabetic Retinopathy Study (ETDRS) letters at baseline were assessed for 20 months.

View Article and Find Full Text PDF
Article Synopsis
  • - An AI-based deep learning classifier was developed to help doctors differentiate between age-related geographic atrophy and extensive macular atrophy with pseudodrusen-like appearance using fundus autofluorescence (FAF) images.
  • - The study involved 300 patients, with the classifiers trained on high-quality FAF images and evaluated on a separate set; the 30° FAF classifier had a sensitivity of 84.6% and specificity of 85.3%, while the 55° FAF classifier performed even better with 90% sensitivity and 84.6% specificity.
  • - Results indicate that artificial intelligence can effectively distinguish between atrophy linked to AMD and EMAP, with better performance observed using wider field FAF images.
View Article and Find Full Text PDF