April 2014
Volume 55, Issue 13
ARVO Annual Meeting Abstract  |   April 2014
Ciliary Body Melanocytomas: Ultrasonographic Characteristics and Natural Course in 10 Cases
Author Affiliations & Notes
  • Phillip Tenzel
    Bascom Palmer Eye Institute, Miami, FL
  • Marco Alejandro Gonzalez
    Bascom Palmer Eye Institute, Miami, FL
  • J. Antonio Bermudez Magner
    Bascom Palmer Eye Institute, Miami, FL
  • J William Harbour
    Bascom Palmer Eye Institute, Miami, FL
  • Footnotes
    Commercial Relationships Phillip Tenzel, None; Marco Gonzalez, None; J. Antonio Bermudez Magner, None; J William Harbour, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 3099. doi:
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      Phillip Tenzel, Marco Alejandro Gonzalez, J. Antonio Bermudez Magner, J William Harbour; Ciliary Body Melanocytomas: Ultrasonographic Characteristics and Natural Course in 10 Cases. Invest. Ophthalmol. Vis. Sci. 2014;55(13):3099.

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      © ARVO (1962-2015); The Authors (2016-present)

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To evaluate the natural course of the clinical and ultrasonographic characteristics of ciliary body melanocytomas.


This is a non-comparative consecutive case series of patients with biopsy proven ciliary body melanocytomas. Data was collected on demographics, clinical features, treatments, and visual outcomes.


A total of 10 eyes in 10 patients were identified. The mean age at presentationwas 65.1years (range of 55 to 75). The mean follow up after presentation was 35 months. Mean initial ultrasound height was 2.19 mm (range of 0.7 to 5.5 mm). Clinical factors associated with ciliary body melanocytomas were dark brown color, pigment deposition into trabecular meshwork, stability of size on ultrasonography, and shaggy contour on ultrasonography.


Ciliary body melanocytomas are rare, benign melanocytic tumors that can be difficult to distinguish from malignant melanoma. Certain clinical and ultrasonographic characteristics are unique to melanocytomas and may be used as diagnostic tools to help identify these uveal tumors.

Keywords: 455 ciliary body • 744 tumors • 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound)  

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