Analysis of three leakage-correction methods for DSC-based measurement of relative cerebral blood volume with respect to heterogeneity in human gliomas.

Kluge, Anne; Lukas, Mathias; Toth, Vivien; Pyka, Thomas; Zimmer, Claus; Preibisch, Christine

doi:10.1016/j.mri.2015.12.015

journal article

Document type:: Journal Article
Author(s):: Kluge, Anne; Lukas, Mathias; Toth, Vivien; Pyka, Thomas; Zimmer, Claus; Preibisch, Christine
Title:: Analysis of three leakage-correction methods for DSC-based measurement of relative cerebral blood volume with respect to heterogeneity in human gliomas.
Abstract:: Aim of this study was to investigate the influence of contrast agent leakage on relative cerebral blood volume (rCBV), using clinical dynamic susceptibility contrast (DSC) protocols. Different correction methods were compared, in order to identify a clinically reliable method.DSC perfusion data from patients with glioma were acquired with a single-shot EPI technique at 3.0T using a pre-dose. Three different post-processing methods for leakage correction were compared, concerning rCBV, the permeability related parameter K2 and the predominant leakage effect in tumor regions (T1 effect: K2>0; T2* effect: K2<0). Additionally, simulations were performed, to investigate the influence of noise and input curve modifications on correction results.Our results indicate several differences between post-processing methods with regard to rCBV values, reflected by the fact that the distribution of detected leakage effects and the correction strength differed between methods. Leakage was heterogeneous within tumorous tissue and between patients, with a general predominance of T2* effects but an increased amount of T1 effects in low grade glioma. Simulations confirmed differential dependencies on signal-to-noise ratios, mean transit times and input curves as possible reasons.The impact of leakage is complex, thus adequate correction necessitates care. Standardized input parameters are one important factor for comparability of rCBV and K2 values among patients. The extension of DSC analysis with K2 maps could potentially allow improved differentiation between tumor grades. Further methods need to integrate special advantages of existing approaches to achieve more reliable rCBV estimates within clinically reasonable calculation times.
Journal title abbreviation:: Magn Reson Imaging
Year:: 2016
Journal volume:: 34
Journal issue:: 4
Pages contribution:: 410-21
Language:: eng
Fulltext / DOI:: doi:10.1016/j.mri.2015.12.015
Pubmed ID:: http://view.ncbi.nlm.nih.gov/pubmed/26708034
Print-ISSN:: 0730-725X
TUM Institution:: Fachgebiet Neuroradiologie (Prof. Zimmer); Klinik und Poliklinik für Nuklearmedizin
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