Dynamic Contrast-Enhanced Magnetic Resonance Imaging of Ocular Melanoma as a Tool to Predict Metastatic Potential.

Wei, Wenbo; Jia, Guang; Von Tengg-Kobligk, Hendrik; Heverhagen, Johannes; Abdel-Rahman, Mohamed; Wei, Lai; Christoforidis, John B; Davidorf, Frederick; Knopp, Michael V (2017). Dynamic Contrast-Enhanced Magnetic Resonance Imaging of Ocular Melanoma as a Tool to Predict Metastatic Potential. Journal of computer assisted tomography, 41(5), pp. 823-827. Lippincott Williams & Wilkins 10.1097/RCT.0000000000000598

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PURPOSE This study explores the capability of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to differentiate tumor characteristics of metastatic and nonmetastatic choroidal melanoma as a potential tool for patient management. MATERIALS AND METHODS A total of 13 patients (69 ± 9 years) with choroidal melanoma were imaged using DCE-MRI on a 3-T MRI system with a 16-channel head coil. The Tofts 2-compartment model was chosen for quantification, and parameters K (the transfer constant from the blood plasma to the extracellular space) and Kep (the transfer constant from the extracellular space to the blood plasma) were calculated and compared. Metastasis was excluded by subsequent clinical work-up or confirmed by histology after targeted biopsy. RESULTS Six patients were diagnosed with metastatic melanoma and 7 without. All orbital tumors were at least larger than 2 mm. A significant difference was identified in K between patients with (0.73 ± 0.18/min) and without (1.00 ± 0.21/min) metastatic melanoma (P = 0.03), whereas the difference was not significantly shown in Kep (2.58 ± 1.54/min of metastatic patients vs 2.98 ± 1.83/min of nonmetastatic patients, P = 0.67). CONCLUSIONS Dynamic contrast-enhanced magnetic resonance imaging has the potential to differentiate orbital melanomas with metastatic and nonmetastatic spread. Thus, DCE-MRI has the potential to be an in vivo imaging technique to predict early which patients are prone to metastatic disease.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

UniBE Contributor:

Von Tengg-Kobligk, Hendrik and Heverhagen, Johannes

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0363-8715

Publisher:

Lippincott Williams & Wilkins

Language:

English

Submitter:

Santa Bertina Schiaroli

Date Deposited:

11 Sep 2017 15:56

Last Modified:

01 May 2018 02:30

Publisher DOI:

10.1097/RCT.0000000000000598

PubMed ID:

28448404

BORIS DOI:

10.7892/boris.101289

URI:

https://boris.unibe.ch/id/eprint/101289

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