Our study analyzed choroidal nevus images assessed with the BFLI technology, highlighting the particularities between color channels separately and reinforcing the value of RC in assessing choroidal nevus details. These features may be used to better detect and monitor these lesions, besides providing subsidies for further studies in the area.
Choroidal nevus is the most common primary intraocular tumor.[13] These tumors should be routinely monitored for potential malignant transformation into melanoma,[9] and it is crucial to detect suspicious features at an early stage. The concept of artificial-intelligence-based screening of choroidal nevus has already been raised, and specialists suggest that it would significantly enhance the detection and early treatment of melanoma, with the potential to save lives.[14] Several reports aimed to identify clinical factors[8, 15, 16] and, more recently, multimodal imaging factors that may predict the transformation of nevus into melanoma.[17] A recent study sought to evaluate clinical and multimodal imaging features per millimeter increase in nevus thickness and correlate increasing thickness with a greater risk of growth into melanoma.[18]
The choroidal nevus is generally found incidentally on routine ophthalmic funduscopic examination, and documentation of the lesions is paramount for the better monitoring, counseling, and treatment of the tumors and their complications. With the advent of UWF true-color fundus cameras, a single capture is enough in the great majority of the cases to identify a choroidal nevus and its associated clinical features. In addition, these devices dispose of different technologies for their image acquisition.[19]
To the best of our knowledge, no study aimed to examine features of choroidal nevus using a digital UWF retinal imaging system powered by BLFI technology. Previous studies have been harnessed in assessing choroidal nevus by using a Scanning Laser Ophthalmoscope system with two laser wavelengths.[10, 20] Kernt et al.[20] suggest that the pattern “dark on RC/light on GC” distinctive malignant melanoma. On the other hand, Papastefanou et al. postulate that these devices’ use of red-green channels is not a reliable diagnostic tool in the early detection of small melanomas. The authors also found that RC has the benefit of assessing tumor margins in serial monitoring, but RC and GC patterns are limited in differentiating choroidal nevus from melanomas.
We have found that choroidal nevus is undetectable in BC. This was already expected since this color channel allows for better visibility of anterior retinal layers such as nerve fibers, inner limiting membrane, and vessels.
Concerning the GC, the choroidal nevus was undetectable in all of our cases. None of the lesions of our sample presented as light or bright spots in GC, as previously reported by others studies.[10, 20] We suggest that this observation is related to the different image acquisition modalities, reinforcing the slight disparities between these different systems.
In the RC, all the choroidal nevus turned up as a well-exposed dark spot, with well-defined margins and contrasting with the underlying retina. This pattern is consistent with other studies that used different technologies of imaging acquisition. This information reinforces the role of RC in the better definition and characterization of choroidal nevus, regardless of the imaging acquisition method.
The limitations of our study are the small sample of cases collected for analysis, in addition to the fact that we did not use a comparative population, such as choroidal melanoma. On the other hand, our study provided novel information using an image acquisition method that had not been described in the literature for the proposed condition. As this is a lesion with potential for malignancy in choroidal melanomas, we believe that retinal photography alone should not be used to distinguish prognostic predictors, regardless of the technology applied. However, new information can improve the multimodal assessment, aiding clinical examination.
Several imaging tools and technologies can be used with different diagnostic values to assess the choroidal nevus's pathological features. We brought to light the features of these lesions when assessed by the BLFI technology, highlighting the role of RC in the better definition and characterization of choroidal nevus. We believe that this approach may provide information that might be useful both at screening, increasing the diagnostic reliability, and at follow-up, allowing a more accurate assessment of the lesion.