Literature DB >> 11754443

Is quantification of bolus tracking MRI reliable without deconvolution?

Joanna E Perthen1, Fernando Calamante, David G Gadian, Alan Connelly.   

Abstract

Bolus tracking data obtained with paramagnetic intravascular tracers are commonly analyzed and quantified by the direct measurement of properties of the tissue concentration-time curve (e.g., time to peak (TTP)). The measurement of these "summary parameters" is used as an accessible alternative approach to the complex deconvolution procedure, and provides indirect measures of perfusion. However, summary parameters do not take into account differences in arterial input functions (AIFs) or residue functions (R(t)) between patients or studies. Simulations were performed to assess the variability of summary parameters over a realistic range of AIFs and for differing R(t), to establish whether they can be used as reliable measures of tissue perfusion status. Results showed that the value of each summary parameter investigated is highly dependent upon both the AIF and R(t). The referencing of summary parameters to their corresponding value in the AIF or in normal tissue is a method commonly used to normalize results, but this approach did not lead to any measures that were independent of both the AIF and R(t) in this study. The results presented here show that the use of summary parameters requires considerable caution, since tissue or patient types can easily be incorrectly classified due to the effect of variations in patient AIF and R(t). Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 11754443     DOI: 10.1002/mrm.10020

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  12 in total

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4.  Infarct Evolution in a Large Animal Model of Middle Cerebral Artery Occlusion.

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8.  Arterial input function and gray matter cerebral blood volume measurements in children.

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9.  A Comparison of Relative Time to Peak and Tmax for Mismatch-Based Patient Selection.

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10.  Penumbra detection in acute stroke with perfusion magnetic resonance imaging: Validation with 15 O-positron emission tomography.

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