(Can J Ophthalmol[TA])
6,478 results
  • Correlation between the dysfunctional lens index and subjective grading for different types of cataracts. [Journal Article]
    Can J Ophthalmol. 2026 Oct 30. [Online ahead of print]Khan M, Bastani NH, … Strungaru MHCJ
  • CONCLUSIONS: The DLI can be a valuable objective measurement for the severity of nuclear and posterior subcapsular cataracts but not for anterior cortical cataract. A DLI threshold of 8.01 demonstrated moderate discriminative ability for surgical status in this cohort; however, given the retrospective design, DLI should be considered an adjunctive or confirmatory measure rather than an independent criterion for cataract surgery. This study highlights the transformative potential of objective metrics like the DLI, offering significant advancements in identifying visually significant cataracts and their management.
  • Surgical outcomes of the SIBS microshunt in pediatric glaucoma: a retrospective study. [Journal Article]
    Can J Ophthalmol. 2026 Oct 30. [Online ahead of print]Sandouk E, Bachour K, … Hamel PCJ
  • CONCLUSIONS: In pediatric glaucoma, the ab externo SIBS microshunt demonstrated reasonable 1-year surgical success rates with few complications, supporting its potential as a therapeutic alternative in selected cases within this population. Long-term, prospective studies are warranted to further assess its durability and safety in this population.
  • Author reply. [Letter]
    Can J Ophthalmol. 2026 Sep 24. [Online ahead of print]O'Neill K, Jaiswal S, … Lee ACJ
  • Diagnostic performance of deep learning models in retinal vein occlusion: a systematic review and meta-analysis. [Journal Article]
    Can J Ophthalmol. 2026 Sep 23. [Online ahead of print]Butt FR, Sachdeva K, … Popovic MMCJ
  • CONCLUSIONS: Deep learning models showed high diagnostic accuracy in detecting retinal vein occlusion across different imaging modalities. However, the certainty of the evidence, assessed using Grading of Recommendations Assessment, Development, and Evaluation, was low for all outcomes. Future research should investigate the feasibility and costs of implementing deep learning for RVO diagnosis in real-world clinical environments.