7 research outputs found

    The impact of artificial intelligence in the diagnosis and management of glaucoma

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    Ten-year outcomes of uveal melanoma based on The Cancer Genome Atlas (TCGA) classification in 1001 cases.

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    Purpose: To understand the prognostic value of The Cancer Genome Atlas (TCGA) for uveal melanoma metastasis, using a simplified 4-category classification, based on tumor DNA. Methods: A retrospective cohort study of 1001 eyes with uveal melanoma at a single center, categorized according to TCGA as Group A, B, C, or D (by fine-needle aspiration biopsy for DNA analysis), and treated with standard methods, was studied for melanoma-related metastasis at 5 and 10 years. Results: Of 1001 eyes with uveal melanoma, the TCGA categories included Group A (n = 486, 49%), B (n = 141, 14%), C (n = 260, 26%), and D (n = 114, 11%). By comparison, increasing category (A vs. B vs. C vs. D) was associated with features of older age at presentation (56.8 vs. 52.8 vs. 61.1 vs. 63.5 years, P \u3c 0.001), less often visual acuity of 20/20-20/50 (80% vs. 67% vs. 70% vs. 65%, P = 0.001), tumor location further from the optic disc (P \u3c 0.001) and foveola (P \u3c 0.001), and greater median tumor basal diameter (10.0 vs. 13.0 vs. 14.0 vs. 16.0 mm, P \u3c 0.001) and tumor thickness (3.5 vs. 5.2 vs. 6.0 vs. 7.1 mm, P \u3c 0.001). The Kaplan-Meier (5-year/10-year) rate of metastasis was 4%/6% for Group A, 12%/20% for Group B, 33%/49% for Group C, and 60%/not available for Group D. Conclusion: A simplified 4-category classification of uveal melanoma using TCGA, based on tumor DNA, is highly predictive of risk for metastatic disease
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