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Dynamic Contrast-enhanced CT of Intracranial Meningioma: Comparison of Distributed and Compartmental Tracer Kinetic Models—Initial Results¹

¹ From the Center for Modeling and Control of Complex Systems and Center for Signal Processing (L.H.D.C., T.S.K.), School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Ave, Block S2.1 B4-02, Singapore 639798; and Department of Neuroradiology, National Neuroscience Institute, Singapore (C.C.T.L.). Received July 28, 2003; revision requested October 9; revision received November 13; accepted January 13, 2004. Supported by National Healthcare Group of Singapore grant NHG-RPR-01058. Address correspondence to L.H.D.C. (e-mail: dennis_lhcheong@pmail.ntu.edu.sg).

Dynamic contrast material–enhanced computed tomographic images of intracranial meningioma were analyzed by using both distributed-parameter and conventional compartmental tracer kinetic models. The distributed-parameter models were found to yield consistently better fitting of data sets than were conventional compartmental models. Although linear correlations were found between the kinetic parameters of the two models, some of these parameters (such as perfusion and mean transit time) did not correspond quantitatively. For all models, the kinetic parameters associated with the extravasation of tracer were found to be distinctly higher in meningiomas than in normal white- and gray-matter tissues.

© RSNA, 2004

Index terms: Brain, perfusion • Brain neoplasms, CT, 10.12113, 10.12115 • Computed tomography (CT), contrast enhancement • Computed tomography (CT), functional imaging, 10.12113, 10.12115 • Meninges, neoplasms, 10.366 • Model, mathematical

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