Dynamic contrast-enhanced MRI of neuroendocrine hepatic metastases: A feasibility study using a dual-input two-compartment model
Corresponding Author
T. S. Koh
Department of Oncologic Imaging, National Cancer Center, Singapore
Center for Quantitative Biology, Duke-NUS Graduate Medical School, Singapore
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Department of Oncologic Imaging, National Cancer Center, 11 Hospital Drive, Singapore 169610, Singapore===Search for more papers by this authorC. H. Thng
Department of Oncologic Imaging, National Cancer Center, Singapore
Center for Quantitative Biology, Duke-NUS Graduate Medical School, Singapore
Search for more papers by this authorS. Hartono
Department of Oncologic Imaging, National Cancer Center, Singapore
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Search for more papers by this authorJ. W. Kwek
Department of Oncologic Imaging, National Cancer Center, Singapore
Search for more papers by this authorJ. B. K. Khoo
Department of Oncologic Imaging, National Cancer Center, Singapore
Search for more papers by this authorK. Miyazaki
CRUK-EPSARC Cancer Imaging Center, Institute of Cancer Research, Sutton, United Kingdom
Search for more papers by this authorD. J. Collins
CRUK-EPSARC Cancer Imaging Center, Institute of Cancer Research, Sutton, United Kingdom
Search for more papers by this authorM. R. Orton
CRUK-EPSARC Cancer Imaging Center, Institute of Cancer Research, Sutton, United Kingdom
Search for more papers by this authorM. O. Leach
CRUK-EPSARC Cancer Imaging Center, Institute of Cancer Research, Sutton, United Kingdom
Search for more papers by this authorV. Lewington
Department of Radiology, Royal Marsden NHS Foundation Trust, Sutton, United Kingdom
Search for more papers by this authorD.-M. Koh
Department of Radiology, Royal Marsden NHS Foundation Trust, Sutton, United Kingdom
Search for more papers by this authorCorresponding Author
T. S. Koh
Department of Oncologic Imaging, National Cancer Center, Singapore
Center for Quantitative Biology, Duke-NUS Graduate Medical School, Singapore
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Department of Oncologic Imaging, National Cancer Center, 11 Hospital Drive, Singapore 169610, Singapore===Search for more papers by this authorC. H. Thng
Department of Oncologic Imaging, National Cancer Center, Singapore
Center for Quantitative Biology, Duke-NUS Graduate Medical School, Singapore
Search for more papers by this authorS. Hartono
Department of Oncologic Imaging, National Cancer Center, Singapore
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Search for more papers by this authorJ. W. Kwek
Department of Oncologic Imaging, National Cancer Center, Singapore
Search for more papers by this authorJ. B. K. Khoo
Department of Oncologic Imaging, National Cancer Center, Singapore
Search for more papers by this authorK. Miyazaki
CRUK-EPSARC Cancer Imaging Center, Institute of Cancer Research, Sutton, United Kingdom
Search for more papers by this authorD. J. Collins
CRUK-EPSARC Cancer Imaging Center, Institute of Cancer Research, Sutton, United Kingdom
Search for more papers by this authorM. R. Orton
CRUK-EPSARC Cancer Imaging Center, Institute of Cancer Research, Sutton, United Kingdom
Search for more papers by this authorM. O. Leach
CRUK-EPSARC Cancer Imaging Center, Institute of Cancer Research, Sutton, United Kingdom
Search for more papers by this authorV. Lewington
Department of Radiology, Royal Marsden NHS Foundation Trust, Sutton, United Kingdom
Search for more papers by this authorD.-M. Koh
Department of Radiology, Royal Marsden NHS Foundation Trust, Sutton, United Kingdom
Search for more papers by this authorAbstract
Neuroendocrine hepatic metastases exhibit various contrast uptake enhancement patterns in dynamic contrast-enhanced MRI. Using a dual-input two-compartment distributed parameter model, we analyzed the dynamic contrast-enhanced MRI datasets of seven patient study cases with the aim to relate the tumor contrast uptake patterns to parameters of tumor microvasculature. Simulation studies were also performed to provide further insights into the effects of individual microcirculatory parameter on the tumor concentration-time curves. Although the tumor contrast uptake patterns can be influenced by many parameters, initial results indicate that hepatic blood flow and the ratio of fractional vascular volume to fractional interstitial volume may potentially distinguish between the patterns of neuroendocrine hepatic metastases. Magn Reson Med, 2010. © 2010 Wiley-Liss, Inc.
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