Wenbo Wei1, Guang Jia, Hendrik von Tengg-Kobligk, Johannes T Heverhagen, Mohamed Abdel-Rahman, Lai Wei, John B Christoforidis, Frederick Davidorf, Michael V Knopp. 1. From the *Wright Center of Innovation in Biomedical Imaging and Department of Radiology, The Ohio State University, Columbus, OH; †Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA; ‡Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University of Bern, Bern, Switzerland; §Department of Ophthalmology and Visual Science, and ∥Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH; and ¶Department of Ophthalmology and Vision Science, The University of Arizona Medical Center, Tucson, AZ.
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.
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.
Authors: Daniël P de Bruyn; Aaron B Beasley; Robert M Verdijk; Natasha M van Poppelen; Dion Paridaens; Ronald O B de Keizer; Nicole C Naus; Elin S Gray; Annelies de Klein; Erwin Brosens; Emine Kiliç Journal: Biomedicines Date: 2022-02-21
Authors: Pietro Valerio Foti; Mario Travali; Renato Farina; Stefano Palmucci; Corrado Spatola; Luigi Raffaele; Vincenzo Salamone; Rosario Caltabiano; Giuseppe Broggi; Lidia Puzzo; Andrea Russo; Michele Reibaldi; Antonio Longo; Paolo Vigneri; Teresio Avitabile; Giovani Carlo Ettorre; Antonio Basile Journal: Insights Imaging Date: 2021-06-03
Authors: Jingting Luo; Yuning Chen; Yuhang Yang; Kai Zhang; Yueming Liu; Hanqing Zhao; Li Dong; Jie Xu; Yang Li; Wenbin Wei Journal: Front Med (Lausanne) Date: 2022-01-21
Authors: Myriam G Jaarsma-Coes; Teresa A Ferreira; Petra J van Houdt; Uulke A van der Heide; Gregorius P M Luyten; Jan-Willem M Beenakker Journal: MAGMA Date: 2021-10-13 Impact factor: 2.310