Introduction

Choroidal naevi are common benign tumours found in 6–7% of the Caucasian population [1, 2]. Naevi are often monitored due to the small risk of malignant transformation into life threatening choroidal melanomas [1,2,3,4,5,6]. Clinical risk factors for malignant transformation of choroidal naevi are well established and ascribe the level of suspicion and hence determine the frequency of monitoring [7].

1Identifying naevi with suspicious features has evolved from colour fundus photography and ultrasound B mode scan, to using optical coherence tomography (OCT) to detect subclinical subretinal fluid and/or autofluorescence to confirm lipofuscin [7]. The Optomap (Optos plc, Dunfermline, Scotland) is a digital ultra-wide-field (UWF) retinal imaging system (Scanning Laser Ophthalmoscope), which provides a non-mydriatic, 82% view (200°) of the fundus. A single fundus image is captured with two low-powered laser wavelengths: red channel (RC) at 633 nm and green channel (GC) at 532 nm that scan the retina simultaneously. The single image can be deconstructed to see the individual wavelength views. The GC permits a view from the sensory retina to the retinal pigment epithelium (RPE), and the RC scans the deeper structures from the RPE to the choroid.

The aim of this study is to examine the potential use of the red–green channel feature of UWF imaging in the early detection of a suspicious choroidal naevus or a small choroidal melanoma through the assessment of a large series of small choroidal pigmented lesions.

Methods

This is a retrospective study of patients referred for further assessment of pigmented fundus lesions to Manchester Royal Eye Hospital and Moorfields Eye Hospital from January 2016 to January 2018. As part of their routine care, these patients underwent a series of imaging tests performed by trained imaging technicians including ultrasound B-scan, autofluorescence, OCT and UWF imaging (Optos California and 200Tx—Optos plc, Dunfermline, Scotland)

Patient demographics and tumour features (thickness, drusen, orange pigment, subretinal fluid and fibrosis) were recorded. The UWF images were then reviewed in both the red and green channels by adjusting the blend function of the software.

Lesions were subcategorized based on thickness on B-scan ultrasound (0–1, 1–2 and 2–3 mm) and according to lesion type (melanotic choroidal naevi, amelanotic choroidal naevi, halo naevi, suspicious naevi and small melanomas). Detectability was qualitatively characterized as Dark, Light or not detectable following assessment by two experienced ophthalmologists (VP, CAZ).

Descriptive statistical analysis with the x2 and t-test were used to evaluate the findings after prior Kolmogorov–Smirnov testing for normal distribution of the results, A difference of 0.05 was considered statistically significant. Analysis was done with Wizard Pro 1.9.26 (USA)

Results

Patient demographics and tumours

A total of 152 cases were included in this study. Patient demographics and tumour features are summarized in Table 1. The lesions assessed were melanotic naevi (76/152, 50%), amelanotic naevi (3/152, 2%), halo naevi (3/152, 2%), suspicious naevi (15/152, 10%) and small choroidal melanomas (55/152, 36%). The two predominant categories, namely, melanotic naevi and small melanomas were analyzed. All choroidal melanomas were stage I (T10 N0 M0) based on the 8th Edition of AJCC classification [8].

Table 1 Ultra-wide-field imaging assessment of small choroidal pigmented lesions using red and green colour channels: demographic and tumour features.

Red vs green channel analysis on the two predominant tumour types

Melanotic naevi

There were 76 cases in the melanotic naevus group. The mean tumour thickness on ultrasound was 0.9 ±  0.1 mm. The clinical features of the melanotic naevus group are presented in Table 2A. RC and GC yielded two principal patterns of detectability: (a) Dark on RC/undetectable on GC (57/76, 75%); and (b) Dark on RC/light on GC (15/76, 20%) (Table 2A, Figs. 1 and 2).

Table 2 Ultra-wide-field imaging assessment of small choroidal pigmented lesions using red and green colour channels.
Fig. 1: Optos photo of a flat naevus.
figure 1

a Colour photo. b Naevus appears dark in red channel. c Naevus is not visible in green channel (dark on red—not detectable on green pattern).

Fig. 2: Optos photos of an elevated naevus (1.2 mm).
figure 2

a Colour photo. b Naevus appear dark in red channel. c Naevus appears bright in green channel (Dark on red—light on green pattern).

Analysis of the clinical features of the lesions with respect to these two patterns showed some differences. The dark on RC/light on GC pattern occurred in slightly thicker tumours (1.2 ± 0.2 mm vs 0.8 ± 0.2 mm, p = 0.006) and in the presence of orange pigment (27% vs 2%, p < 0.001). The presence of subretinal fluid (7% vs 2%, p = 0.3) did not reach statistical significance (Table 2A).

Small choroidal melanomas

The small melanoma group comprised 55 cases. The mean tumour thickness was 2.7 ± 0.3 mm. The clinical features of the small melanoma group are presented in Table 2B. RC and GC gave the same two patterns of detectability: (a) Dark on RC/undetectable on GC (40/55, 73%) and (b) dark on RC/light on GC (12/55, 22%).

Analysis of the clinical features of small melanomas with respect to these two patterns showed similar differences. The dark on RC/light on GC pattern was associated with increased tumour thickness (2.7 ± 0.3 mm vs 2 ± 0.2 mm, p < 0.001), a finding that occurred even in the 2–3 mm in tumour thickness subgroup. Despite this trend with tumour size, the majority of small melanomas displayed the other pattern, dark on RC/undetectable on GC (40/55, 73%). Contrary to the naevus cohort, the presence of orange pigment was associated more commonly in melanomas with the dark on RC/undetectable on GC pattern (93% vs 67%, p = 0.02).

RC/GC analysis based on tumour thickness

All lesions were categorized by tumour thickness into three groups, namely 0–1 mm (n = 46, median 0.5 mm, mean 0.5 ± 0.06), 1–2 mm (n = 70, median 1.2, mean 1.4 ± 0.07) and 2–3 mm (n = 36, median 2.5, mean 2.6 ± 0.1). The features of each group are presented in Table 3. The proportion of dark on RC/light on GC pattern increased according to the thickness of the tumour, 8.9% in the 0–1 mm thickness group, 24.6% in the 1–2 mm group and 30.6% in the 2–3 mm group (p = 0.04) (Supplementary Fig. 3A).

Table 3 Ultra-wide-field imaging assessment of small choroidal pigmented lesions using red and green colour channels.

We also analyzed the RC/GC pattern to determine the association with size (Supplementary Fig. 3B). In the dark on RC/ light on GC group, 13% of lesions were 0–1 mm, 52% were 1–2 mm and 36% were 2–3 mm. In the dark on RC/undetectable on GC group 36% were 0–1 mm, 43% were 1–2 mm and 22% were 2–3 mm thickness. By thickness, the two patterns differed with statistical significance only in the 0–1 mm group (x2 = 0.015).

Red vs green channel analysis based on tumour features

Drusen

Drusen were present in 60/152 (39%) tumours. The distribution of drusen was equal for all thickness categories (Table 3A) and equivalent between the two channels (Table 3B). There was no correlation with the lesion detectability patterns (x2 = 0.65) (Supplementary Fig. 4A)

Orange pigment

Orange pigment was present in 62/152 (41%) of tumours. The frequency of orange pigment increased by thickness categories—7% in 0–1 mm tumours, 44% in 1–2 mm tumours and 78% in 2–3 mm tumours, respectively (Table 3A). Orange pigment detection was equivalently distributed between the two channels (Table 3B) but did not correlate with lesion detectability patterns (x2 = 0.66) (Supplementary Fig. 4B)

Subretinal fluid

Subretinal fluid was present in 40/152 (26%) tumours. The frequency of subretinal fluid increased with thickness categories—7% in 0–1 mm tumours, 21% in 1–2 mm tumours and 61% in 2–3 mm tumours, respectively (Table 3A). Subretinal fluid was better detected in the GC for 20/55 small CMM and 6/15 IML (Table 3B). The lesion detectability patterns did not correlate with the presence of subretinal fluid (x2 = 0.8) (Supplementary Fig. 4C)

Fibrosis

Overlying fibrosis was present in 52/152 (34%) tumours. Similarly, there was an increase in frequency of fibrosis by thickness groups—9% in 0–1 mm tumours, 34% in 1–2 mm tumours and 67% in 2–3 mm tumours, respectively (Table 3A). The distribution was identical between channels (Table 3B). The lesion detectability patterns did not correlate with the presence of fibrosis (x2 = 0.3) (Supplementary Fig. 4D).

Discussion

Choroidal naevi are common benign intraocular tumours with prevalence in large population studies of ~7%, though it may be as high as 20–25% [1]. It is therefore important to detect suspicious features at an early stage [1,2,3,4,5,6]. Melanocytic fundus tumours that have one suspicious feature have a 38% chance for growth at five years, rising to 50% for those with two or more suspicious features [7].

In recent years, modern imaging modalities have been harnessed in the assessment of choroidal lesions. OCT has improved visibility of the choroid as enhanced depth imaging or swept-source OCT [9, 10], autofluorescence scans have confirmed lipofuscin deposition [11] and OCT angiography may give information on blood flow [12].

UWF imaging has been an important addition in this array of imaging modalities because of the ability of capture a wide area of the fundus. In the assessment of intraocular tumours, it has allowed better depiction of the extent of sizable or very peripheral tumours not easily captured with previously available cameras [13]. In light of this principal advantage UWF imaging has also been adopted in the community in optometry practices as part of a quick means to assess the fundus and help in the identification of peripherally located disease.

This study examined this feature of the dual laser imaging platform. The blend function allows separation of the fundus through two distinct channels, the green laser (GC) scanning from the sensory retina to the RPE, and the red laser (RC) scanning the deeper structures from the RPE to the choroid. A large cohort of patients with pigmented choroidal lesions was assessed and different categories were included with the predominant ones being benign melanotic choroidal naevi and small choroidal melanomas. The aim of this study was to determine whether RC and GC separation would allow the identification early signs of transformation from naevus to melanoma. Previous studies [14] suggested that malignant melanomas appeared dark in the RC and bright in the GC with the use of this imaging platform. In addition, we subcategorized lesions by thickness in order to identify any distinctive features for growth, including the 2–3 mm size of small melanomas. This is the threshold for small choroidal melanoma based on the 8th edition AJCC classification [8]. Detection of small melanomas is important as early treatment may impact on mortality [7].

Our RC and GC patterns analysis compared benign melanotic naevi and small choroidal melanomas. Indeterminate melanocytic lesions and suspicious naevi were excluded due to their small numbers in this cohort. The important finding in this first comparison was the presence of two distinct patterns on RC and GC in the vast majority of cases namely that 72/76 cases in the melanotic naevi group and 52/55 cases in the small choroidal melanoma group were either dark on RC/undetectable on GC or dark on RC /light on GC. The remaining seven cases were not clearly characterized and therefore not included in this analysis.

Analysis of the predominant patterns indicated that dark on RC/light on GC melanotic naevi were significantly thicker, significantly associated with the presence of orange pigment and there was a trend towards subretinal fluid. In the case of established small melanomas however, the vast majority were dark on RC/undetectable on GC.

Kernt et al. [14] found that dark on RC/light on GC was distinctive of malignant melanoma. Their study compared 29 choroidal melanomas with 20 naevi but there are some differences to our study. Our lesions were smaller compared to sizes ranging from 7 to 20 mm therefore including stages II–IV lesions [15]. Apart from size the only other clinical feature evaluated by Kernt et al. [14] was the presence or absence of subretinal fluid, whereas we examined the presence of drusen, orange pigment, subretinal fluid and fibrosis and whether these affect the detectability of the lesion. These differences may affect the disparity of our results. In the choroidal naevi group the presence of the dark on RC/light on GC pattern indeed increases the index of suspicion for the fraction of tumours falling under this category. These were lesions with greater thickness and higher chance of lipofuscin and subretinal fluid.

Extrapolating from this result in the naevus group, the small melanoma group should also manifest dark on RC/light on GC pattern. This was not the case. Despite a significantly greater tumour thickness, the vast majority of small choroidal melanomas were not detectable with GC and importantly the lipofuscin deposits spotted clinically were not detectable either at a significantly higher rate. Autofluorescence scans remain important in the assessment of lipofuscin deposits [9]. On the other hand the RC may be superior to autofluorescence for the follow up of choroidal naevi, due to deeper penetration [15].

When this cohort was analyzed with tumour thickness as the sole parameter the dark on RC/light on GC pattern tended to increased significantly from 8.9% in the 0–1 mm category to 30.6% in the 2–3 mm category (Supplementary Fig. 3A). However among dark to light lesions falling under the 1–2 mm and 2–3 mm categories frequency of dark on RC/light on GC was higher but not significant (Supplementary Fig. 3B).

Would therefore the dark on RC/light on GC pattern be of prognostic significance? As the GC penetrates through the neurosensory retina up to the RPE layer, it is difficult to claim that it could capture an inherent property of the underlying choroidal lesion, such as a metabolic or vascular feature indicative of growth. A plausible explanation is that the lighter signal corresponds to RPE dysfunction a common event in both chronic naevi of a certain size and in small choroidal melanomas. This event in itself however does not confer prognostic significance [7].

Examination of individual clinical features showed that drusen, orange pigment and fibrosis were equally distributed between channels. These clinical features do not correlate significantly with a particular RC or GC pattern and therefore one cannot predict their presence from the channel patterns.

In conclusion, despite the promising notion that the use of two separate channels might detect a malignant lesion early and add to its prognosis, our results do not support this. Melanotic naevi and small melanomas appear dark on RC. Benign or malignant melanocytic tumours can appear light on GC possibly due to the chronicity of the lesion but not due to an inherent property related to prognostic significance. RC has the benefit of assess tumour margins in serial monitoring, but RC and GC patterns are limited in differentiating choroidal naevi from melanomas.

Summary

What was known before

  • Choroidal pigmented lesions are clinically assessed based on known risk factors red–green channel feature of ultra-wide-field imaging is a useful clinical tool.

  • This feature has been previously suggested to discern choroidal naevi from melanomas.

What this study adds

  • Red–green channel features allow the detection of specific patterns in pigmented lesions.

  • These patterns are not distinctive in early differential diagnosis between choroidal naevi and small melanomas.

  • Red–green channels do not significantly correlate with known suspicious clinical features of choroidal pigmented lesions as lipofuscin or subretinal fluid.