MR imaging characteristics of uveal melanoma with histopathological validation

Teresa A. Ferreira*, Myriam G. Jaarsma-Coes, Marina Marinkovic, Berit Verbist, Robert M. Verdijk, Martine J. Jager, Gregorius P.M. Luyten, Jan Willem M. Beenakker

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)
15 Downloads (Pure)


Purpose: To evaluate the magnetic resonance imaging (MRI) characteristics of uveal melanoma (UM), to compare them with fundoscopy and ultrasound (US), and to validate them with histopathology. Methods: MR images from 42 UM were compared with US and fundoscopy, and on 14 enucleated cases with histopathology. Results: A significant relationship between the signal intensity on T1 and pigmentation on histopathology was found (p=0.024). T1 hyperintense UM were always moderately or strongly pigmented on histopathology, while T1-hypointense UM were either pigmented or non-pigmented. Mean apparent diffusion coefficient (ADC) of the UM was 1.16 ± 0.26 × 10−3 mm2/s. Two-thirds of the UM had a wash-out and the remaining a plateau perfusion time-intensity curve (TIC). MRI was limited in evaluating the basal diameter of flat tumors. US tends to show larger tumor prominence (0.5mm larger, p=0.008) and largest basal diameter (1.4mm larger, p<0.001). MRI was good in diagnosing ciliary body involvement, extrascleral extension, and optic nerve invasion, but limited on identifying scleral invasion. An increase of tumor prominence was associated with lower ADC values (p=0.030) and favored a wash-out TIC (p=0.028). An increase of tumor ADC correlated with a plateau TIC (p=0.011). Conclusions: The anatomical and functional MRI characteristics of UM were comprehensively assessed. Knowing the MRI characteristics of UM is important in order to confirm the diagnosis and to differentiate UM from other intra-ocular lesions and because it has implications for treatment planning. MRI is a good technique to evaluate UM, being only limited in case of flat tumors or on identifying scleral invasion.

Original languageEnglish
Pages (from-to)171-184
Number of pages14
Issue number1
Early online date31 Oct 2021
Publication statusPublished - Jan 2022

Bibliographical note

Funding Information:
Part of this research was funded by the research program Protons4VISION (Netherlands Organisation for Scientific Research, NWO; project number 14654) and part by the Dutch Cancer Society (KWF; project number 2019: 12184).

Publisher Copyright:
© 2021, The Author(s).


Dive into the research topics of 'MR imaging characteristics of uveal melanoma with histopathological validation'. Together they form a unique fingerprint.

Cite this