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

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

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DOI
10.7892/boris.101289
Publisher DOI
10.1097/RCT.0000000000000598
PubMed ID
28448404
Abstract
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.
Date Issued
2017-04-26
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Language(s)
en
Author(s)
Wei, Wenbo
Jia, Guang
von Tengg-Kobligk, Hendrik  
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie  
Heverhagen, Johannes  
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie  
Abdel-Rahman, Mohamed
Wei, Lai
Christoforidis, John B
Davidorf, Frederick
Knopp, Michael V
Additional Credits
Universitätsinstitut für Diagnostische, Interventionelle und Pädiatrische Radiologie  
Journal
Journal of computer assisted tomography
Publisher
Lippincott Williams & Wilkins
ISSN
0363-8715
Access(Rights)
open.access
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