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Ophthalmic imaging and phenotype-based frameworks aid diagnosis of rare and heterogeneous choroidopathiesOphthalmic Imaging Helps Identify Rare Eye Conditions Linked to Cancer

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Key Takeaway
Use a five-phenotype framework as a clinical entry point to guide differential exclusion in suspected choroidopathies.

This narrative review synthesizes the clinical utility of ophthalmic imaging and diagnostic frameworks for identifying rare and heterogeneous conditions, including choroidal metastasis, paraneoplastic retinopathies, and leukemic retinopathy. The authors emphasize that imaging is valuable for identifying suspicious patterns, prioritizing competing diagnoses, and guiding further investigation.

The review proposes a phenotype-to-confirmation framework based on five suspicion-triggering phenotypes: exudative choroidal mass, RPE-choroidal remodeling, vitreoretinal infiltrative, diffuse neuroretinal dysfunction, and treatment-imprint phenotypes. These phenotypes are intended to serve as clinical entry points for differential exclusion and diagnostic escalation. The authors note that while these phenotypes are not validated diagnostic categories, they provide a structured approach to managing complex cases.

Artificial intelligence is currently noted as investigational for these rare disorders. The authors acknowledge significant limitations, including high heterogeneity in disease entities, imaging protocols, diagnostic confirmation, and study designs. Clinical application of these findings is currently limited by the lack of standardized protocols and the heterogeneous nature of the underlying conditions.

How this fits prior evidence

This narrative review addresses a gap in the clinical management of rare choroidopathies and paraneoplastic retinopathies. While previous coverage noted that mucocutaneous manifestations serve as diagnostic indicators for various systemic diseases and paraneoplastic syndromes, this review focuses on the specific role of ophthalmic imaging and phenotype-based frameworks to identify and escalate the diagnosis of ocular manifestations of malignancy.

Doctors are using specialized eye imaging to better identify rare and complex eye conditions. These conditions, such as choroidal metastasis and certain types of lymphoma, can sometimes be linked to underlying cancers. Because these conditions are so varied, they can be difficult for doctors to diagnose quickly.

To help with diagnosis, experts have proposed a framework based on five specific patterns. These include things like suspicious masses, changes in the retinal layers, and signs of treatment effects. These patterns act as clues to help doctors decide which tests to run next and how to prioritize different possibilities.

While artificial intelligence is being explored to help identify these conditions, it is still in the early stages of investigation. Because these diseases are so diverse and rare, the current findings are based on a review of existing literature rather than a single clinical trial. Patients should talk to their doctors about how these imaging patterns might help in their specific care.

What this means for you:
Specific imaging patterns can help doctors identify rare eye conditions that may be linked to underlying cancer.

Common questions

How does eye imaging help with these conditions?

Ophthalmic imaging helps doctors identify suspicious patterns and prioritize different diagnoses. By looking at specific visual markers, doctors can better guide their investigations and decide which further tests are needed to identify rare conditions like choroidal metastasis or leukemic retinopathy.

What are the specific patterns doctors look for?

Experts have proposed five types of patterns to help with diagnosis. These include exudative choroidal masses, retinal remodeling, infiltrative issues, widespread retinal dysfunction, and signs of previous treatments. These serve as entry points to help doctors rule out different conditions.

Is artificial intelligence used to find these conditions?

Artificial intelligence is currently being investigated for these rare and diverse eye disorders. However, because these conditions are so varied, the use of AI is still in the research phase and is not yet a standard part of every clinical practice.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedSep 2026
View Original Abstract ↓
Systemic malignancies may affect the posterior segment through metastatic, paraneoplastic, hematologic or lymphomatous, and treatment-related mechanisms. Because routine ophthalmic imaging rarely establishes the underlying etiology, its principal clinical value is to identify suspicious patterns, prioritize competing diagnoses, and guide further investigation. This narrative review synthesizes malignancy-related posterior segment findings and proposes a clinically oriented phenotype-to-confirmation framework for multimodal interpretation. A literature search was conducted in PubMed, Scopus, and Web of Science for publications from January 2000 to May 18, 2026. The review included choroidal metastasis, paraneoplastic retinopathies and choroidopathies, vitreoretinal lymphoma, hematologic infiltration, leukemic retinopathy, and anticancer therapy-related toxicity. Owing to heterogeneity in disease entities, imaging protocols, diagnostic confirmation, and study designs, the evidence was synthesized qualitatively. Findings were organized into five suspicion-triggering phenotypes: exudative choroidal mass, RPE-choroidal remodeling, vitreoretinal infiltrative, diffuse neuroretinal dysfunction, and treatment-imprint phenotypes. Each phenotype was linked to its principal mimickers and to appropriate additional investigations, including targeted multimodal imaging, electrophysiology, ocular-fluid analysis, molecular testing, or systemic oncologic reassessment. These phenotypes should not be regarded as validated diagnostic categories, but as clinical entry points for differential exclusion and diagnostic escalation. Artificial intelligence may eventually support image registration, lesion tracking, and longitudinal comparison; however, its role in these rare and heterogeneous disorders remains investigational.
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