June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Sensitivity of Magnetic Resonance Imaging in Detection of Choroidal Metastasis
Author Affiliations & Notes
  • Michael Yu
    Ophthalmology, Stanford University, Stanford, California, United States
  • Hashem Ghoraba
    Ophthalmology, Stanford University, Stanford, California, United States
  • Sarah Miller
    Ophthalmology, Stanford University, Stanford, California, United States
  • Nancy Fischbein
    Ophthalmology, Stanford University, Stanford, California, United States
  • Prithvi Mruthyunjaya
    Ophthalmology, Stanford University, Stanford, California, United States
  • Footnotes
    Commercial Relationships   Michael Yu None; Hashem Ghoraba None; Sarah Miller None; Nancy Fischbein None; Prithvi Mruthyunjaya None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 3613. doi:
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      Michael Yu, Hashem Ghoraba, Sarah Miller, Nancy Fischbein, Prithvi Mruthyunjaya; Sensitivity of Magnetic Resonance Imaging in Detection of Choroidal Metastasis. Invest. Ophthalmol. Vis. Sci. 2023;64(8):3613.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Neuroimaging, particularly with magnetic resonance imaging (MRI), assumes greater importance today in the surveillance of patients with systemic malignancy than ever before. Despite this, there exists a paucity of research regarding the sensitivity of MRI in detecting choroidal metastases (CM) from systemic primary cancers. Herein, we investigate the detection rate of CM by MRI and compare its sensitivity to that of visual symptoms alone.

Methods : 42 eyes from 40 consecutive patients seen at the Byers Eye Oncology Service (Stanford University) between January 2018 and January 2022 were included. All patients were diagnosed with CM by funduscopic evaluation and underwent MRI brain/orbits within three months of CM diagnosis. Demographics, along with primary systemic malignancy, CM, and MRI features, were collected and analyzed (t-test, Fisher exact test).

Results : Of 42 CM, 35 (83%) were visually symptomatic and 21 (50%) were detected by MRI. Comparison by detection vs. non-detection revealed increased tumor basal diameter (12.7 vs. 8.9 mm, respectively; p<0.001) and tumor thickness (3.8 vs. 2.1 mm, respectively; p=0.003) as improving detection sensitivity. These features were associated with increased interval from cancer diagnosis to CM diagnosis (5.95 vs. 2.76 years, respectively; p=0.009) and worse staging of primary cancer (p=0.018). There was no difference between MRI brain and MRI orbits (p=0.410).

Conclusions : MRI cannot reliably exclude the presence of CM. The utility of assessing visual symptoms to detect the presence of CM may exceed that of MRI, particularly for smaller lesions. Further analysis of MRI protocols may enhance detection rates, especially in asymptomatic patients.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

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