HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Figures Only Full Text Full Text (PDF) All Versions of this Article: 2323031198v1 232/3/921    most recent Submit a response Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Dennis Cheong, L. H. Articles by Koh, T. S. Search for Related Content PubMed PubMed Citation Articles by Dennis Cheong, L. H. Articles by Koh, T. S.

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

This article has been cited by other articles:

				W. T. Sobol and J. K. Cure Can in Vivo Assessment of Tissue Hemodynamics with Dynamic Contrast-enhanced CT Be Used in the Diagnosis of Tumors and Monitoring of Cancer Therapy Outcomes? Radiology, September 1, 2004; 232(3): 631 - 632. [Full Text] [PDF]