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Subcompartmentalization of extracellular extravascular space (EES) into permeability and leaky space with local arterial input function (AIF) results in improved discrimination between high‐ and low‐grade glioma using dynamic contrast‐enhanced (DCE) MRI
Author(s) -
Sahoo Prativa,
Rathore Ram K.S.,
Awasthi Rishi,
Roy Bhaswati,
Verma Sanjay,
Rathore Divya,
Behari Sanjay,
Husain Mazhar,
Husain Nuzhat,
Pandey Chandra M.,
Mohakud Sudipta,
Gupta Rakesh K.
Publication year - 2013
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24404
Subject(s) - voxel , glioma , dynamic contrast , magnetic resonance imaging , extracellular , tracer , nuclear medicine , dynamic contrast enhanced mri , contrast (vision) , nuclear magnetic resonance , materials science , biomedical engineering , mathematics , chemistry , computer science , physics , medicine , radiology , artificial intelligence , biochemistry , cancer research , nuclear physics
Purpose: To modify the generalized tracer kinetic model (GTKM) by introducing an additional tissue uptake leakage compartment in extracellular extravascular space (LTKM). In addition, an implicit determination of voxel‐wise local arterial input function (AIF) C p ( t ) was performed to see whether these changes help in better discrimination between low‐ and high‐grade glioma using dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI). Materials and Methods: The modified model (LTKM) was explored and fitted to the concentration–time curve C ( t ) of each voxel, in which the local AIF C p ( t ) could be estimated by a time invariant convolution approximation based on a separately measured global AIF C a ( t ). A comparative study of tracer kinetic analysis was performed on 184 glioma patients using DCE‐MRI data on 1.5T and 3T MRI systems. Results: The LTKM analysis provided more accurate pharmacokinetic parameters as evidenced by their relative constancy with respect to the length of concentration–time curve used. In addition, LTKM with local AIF resulted in improved discrimination between low‐grade and high‐grade gliomas. Conclusion: LTKM with local AIF provides more accurate estimation of physiological parameters and improves discrimination between low‐grade and high‐grade gliomas as compared with GTKM. J. Magn. Reson. Imaging 2013;38:677–688. © 2013 Wiley Periodicals, Inc.