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Ophthalmology Commons

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Thomas Jefferson University

2021

Melanoma

Articles 1 - 2 of 2

Full-Text Articles in Ophthalmology

Ten-Year Outcomes Of Uveal Melanoma Based On The Cancer Genome Atlas (Tcga) Classification In 1001 Cases., Carol L Shields, Eileen Mayro, Zeynep Bas, Philip W Dockery, Antonio Yaghy, Sara E. Lally, Arupa Ganguly, Jerry A Shields Jul 2021

Ten-Year Outcomes Of Uveal Melanoma Based On The Cancer Genome Atlas (Tcga) Classification In 1001 Cases., Carol L Shields, Eileen Mayro, Zeynep Bas, Philip W Dockery, Antonio Yaghy, Sara E. Lally, Arupa Ganguly, Jerry A Shields

Wills Eye Hospital Papers

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%), …


White Paper On Ophthalmic Imaging For Choroidal Nevus Identification And Transformation Into Melanoma, Carol Shields, Sara E. Lally, Lauren Dalvin, Mandeep Sagoo, Marco Pellegrini, Swathi Kaliki, Ahmet Kaan Gündüz, Minoru Furuta, Prithvi Mruthyunjaya, Adrian T. Fung, Jay S. Duker, Sara M. Selig, Antonio Yaghy, Sandor R. Ferenczy, Malvina B. Eydelman, Mark S. Blumenkranz Feb 2021

White Paper On Ophthalmic Imaging For Choroidal Nevus Identification And Transformation Into Melanoma, Carol Shields, Sara E. Lally, Lauren Dalvin, Mandeep Sagoo, Marco Pellegrini, Swathi Kaliki, Ahmet Kaan Gündüz, Minoru Furuta, Prithvi Mruthyunjaya, Adrian T. Fung, Jay S. Duker, Sara M. Selig, Antonio Yaghy, Sandor R. Ferenczy, Malvina B. Eydelman, Mark S. Blumenkranz

Wills Eye Hospital Papers

Purpose: To discuss the evolution of noninvasive diagnostic methods in the identification of choroidal nevus and determination of risk factors for malignant transformation as well as introduce the novel role that artificial intelligence (AI) can play in the diagnostic process. Methods: White paper. Results: Longstanding diagnostic methods to stratify benign choroidal nevus from choroidal melanoma and to further determine the risk for nevus transformation into melanoma have been dependent on recognition of key clinical features by ophthalmic examination. These risk factors have been derived from multiple large cohort research studies over the past several decades and have garnered widespread use …