Abstract
Blood-brain barrier permeability of normal-appearing white matter in patients with vestibular schwannoma: A new hybrid approach for analysis of <i>T</i> <sub>1</sub> -W DCE-MRI
Highlights
Citing this paper Please note that where the full-text provided on Manchester Research Explorer is the Author Accepted Manuscript or Proof version this may differ from the final Published version
The analysis is performed in three steps: Step 1: contrast agent (CA) time course curves are fitted using the conventional Patlak plot (PP) to derive an initial estimate of Ktrans and vp values, with a tstretch interval of 85–250 sec used in the fitting; Step 2: The estimate of Ktrans from Step 1 is used into Eq [A.4] (Appendix A) as a known value and vp is calculated using Eqs. [A.5] and [A.6] (Appendix A); Step 3: CA time course curves are refitted with Eq [2] to obtain a refined Ktrans estimate
For the tstretch interval 85–250 seconds, the results from PP were quite close to those derived from the hybrid method, the values of vp estimated with PP were generally higher, and the values of Ktrans were generally lower, compared with their hybrid counterparts
Summary
Citing this paper Please note that where the full-text provided on Manchester Research Explorer is the Author Accepted Manuscript or Proof version this may differ from the final Published version. Blood–Brain Barrier Permeability of Normal-Appearing White Matter in Patients With Vestibular Schwannoma: A New Hybrid Approach for Analysis of T1-W DCE-MRI. To develop and assess a “hybrid” method that combines a first-pass analytical approach and the Patlak plot (PP) to improve assessment of low blood–brain barrier permeability from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) data. Quantification of low blood–brain barrier (BBB) permeability from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) is associated with a number of technical challenges. The analysis must be based on pharmacokinetic analysis of time course data, which requires accurate separation of the contribution of several variables This can be problematic where the signal-to-noise ratio and temporal resolution are low, as is the case where BBB permeability is low, resulting in inappropriate covariance between parameters derived from curve-fitting approaches
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