A choroidal nevus is a benign melanocytic lesion normally less than 5 mm in diameter and less than 2 mm thick. Giant choroidal nevi have a basal diameter of 10 mm or more.

On the surface of your eye Iris nevus: In the colored part of your eye Choroidal nevus: Under your retina (in back of your eye) Nevi can be yellow, brown, gray, or a combination of colors.

Considering the potential progression of this condition, it is important for a practitioner to differentiate between ocular melanoma and choroidal nevus, because the two can be easily confused.

When a doctor tells you that you have an eye lesion that needs to be followed, they’re likely referring to a choroidal nevus. This is a flat pigmented lesion that’s benign (noncancerous ...

Eight factors may predict whether a choroidal nevus -- a benign, flat, pigmented growth inside the eye and beneath the retina -- may develop into melanoma, according to a new report. Eight factors ...

Choroidal nevi are little freckles -- colored areas in the back of your eye. They're benign, or noncancerous, ocular tumors that form on the iris or choroid. Because they're not cancer ...

Optical coherence tomography and autofluorescence have also been used. It is important to follow up choroidal nevi as almost 9% of them progress to malignant melanomas within 5 years. At 10 years ...

Choroidal neovascularization (CNV) is one of the most important vision-threatening complications secondary to pathological myopia (PM). In the last 20 years, there have been rapid advances in the ...

This section presents medications that are known to potentially lead to 'Choroidal nevus' as a side effect. It's important to note that mild side effects are quite common with medications.

Small Melanomas of the Choroid When the tumor is small, it may be very difficult to distinguish it from a choroidal nevus. Some features suspicious of malignancy include: The tumor is over 2 mm ...

Researchers from Peking University have developed a novel noninvasive choroidal angiography method that enables layer-wise visualization and evaluation of choroidal vessels using deep learning.