ABSTRACT
Background: Color vision deficiency (CVD) is an often-overlooked issue within the medical community, and its consequences remain insufficiently explored. We aim to evaluate how CVD affects diagnostic accuracy and distinguish between malignant choroidal melanoma and benign choroidal nevus among ophthalmologists. Methods: In this cross-sectional study, we engaged ophthalmologists through a web-based survey distributed via the professional ophthalmology society's social media channels. The survey encompassed a series of three fundus images representing normal fundus, choroidal nevus, and choroidal melanoma. Each image underwent simulation for the three primary types of CVD-protanopia, deuteranopia, and tritanopia-alongside a non-simulated version. Results: The study included 41 participants, averaging 40 years of age (±9.2), comprising 28 (68%) men and 13 (32%) women. Significantly lower rates of identifying orange pigments were observed in simulated protanopia images compared to non-simulated ones (p = 0.038). In simulated deutranopia images, the recognition of melanotic lesions was notably reduced compared to non-simulated images (p = 0.048). No such limitation was observed for tritanopia. However, participants retained their ability to identify subretinal fluid and estimate tumor thickness in simulated and non-simulated images. Concerning simulated images of choroidal nevi, participants misdiagnosed nevi as choroidal melanoma in 37% of cases in simulated protanopia nevi images and 41% in simulated deutranopia nevi images. This resulted in unnecessary referrals of benign lesions as malignant, emphasizing the potential for mistaken diagnoses. Nevertheless, almost all simulated images of malignant melanoma were correctly referred for specialized oncological treatment. Conclusions: The simulated CVD conditions of protanopia and deuteranopia affected the accuracy of identifying the melanotic nature of the choroidal tumor and the presence of orange pigments. This limitation led to challenges in correctly diagnosing choroidal melanoma and choroidal nevus, resulting in extra referrals for nevus cases. However, participants were safe and could still determine the possible risk of eyes with choroidal melanoma, so most referred melanoma cases to specialized oncologists as needed.
ABSTRACT
BACKGROUND: Breast cancer remains a leading cause of cancer-related mortality and morbidity worldwide. Ocular and periocular metastasis present as a rare but clinically significant manifestation. This study aims to explore demographics and clinical aspects of ocular and periocular metastasis in breast cancer patients. METHODS: A retrospective cohort study comprising 45 breast cancer patients with ocular or periocular metastasis treated between 2013 and 2023. Patient demographics, tumor characteristics, diagnostic methods, treatment modalities, visual outcomes, and survival data were analyzed. RESULTS: Among 9902 breast cancer patients, 0.5% developed ocular or periocular metastasis, constituting 2.4% of metastatic cases. The median age was 50 years. Ocular metastasis timing varied: 5% before breast cancer, 24% concurrent, 22% within a year, and 49% after. The most common presentations included incidental MRI findings (42%) and vision decline (31%). Metastasis involved the orbit (47%), choroid (40%), optic nerve (11%), and iris (2%), with 44% having bilateral involvement. Predictive factors included invasive lobular carcinoma (ILC) (p < 0.0001) and brain metastasis (p < 0.0001), with ILC exhibiting a sixfold higher likelihood of ocular metastasis than invasive ductal carcinoma (IDC). Primary treatment was radiation therapy (89%), yielding a 55% maintenance of excellent vision (<0.5), with 93% developing dry eye disease. Patients with ocular metastasis faced an increased risk of disease-related mortality (p < 0.0001), with 71% succumbing within 10 months post-diagnosis. CONCLUSIONS: Ocular metastasis in breast cancer is rare (0.5%) but signifies poor outcome. It is linked to ILC and concurrent brain metastasis. Primary treatment involves radiation therapy, with a favorable visual prognosis.
ABSTRACT
BACKGROUND: Color vision deficiency (CVD) is an under-reported problem among medical personnel, and its impact is still not well characterized. We aim to assess the impact of CVD among ophthalmologists on the accuracy of diagnosing different benign and malignant choroidal lesions. METHODS: This is a cross-sectional study conducted on ophthalmologists. We used a web-based survey to collect responses through professional ophthalmology society social media. The survey included a set of five images for normal fundus, choroidal nevus, circumscribed choroidal hemangioma, choroidal metastasis, and choroidal melanoma, wherein each image simulated the three main types of CVD: protanopia, deuteranopia, and tritanopia, in addition to a non-simulated image. RESULTS: Forty-one participants were included, with a mean age of 40 (±9.2) years. They were 28 (68%) men and 13 (32%) women. Participants showed significantly low accuracy for definite diagnosis for circumscribed choroidal hemangioma, nevus, melanoma, and metastasis when the images simulated protanopia and deuteranopia, but not tritanopia. Nevertheless, participants maintained the capability to recognize the nature of the lesions for both simulated and non-simulated images if they were benign or malignant, thereby ensuring immediate referral for specialized care. The exception was with simulated choroidal nevi images, wherein participants incorrectly assigned simulated protanopia and deuteranopia nevi images to malignant lesions. CONCLUSION: Protanopia and deuteranopia affected the accuracy of diagnosing several choroidal lesions; however, ophthalmologists with those two simulated CVDs were still able to discriminate between benign and malignant tumors.