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Rapid-Steady-State-T1 signal modeling during contrast agent extravasation: toward tumor blood volume quantification without requiring the arterial input function.

Authors :
Sarraf M
Perles-Barbacaru AT
Nissou MF
van der Sanden B
Berger F
Lahrech H
Source :
Magnetic resonance in medicine [Magn Reson Med] 2015 Mar; Vol. 73 (3), pp. 1005-14. Date of Electronic Publication: 2014 Apr 14.
Publication Year :
2015

Abstract

Purpose: This study demonstrates how to quantify the tumor blood volume fraction (BVf) using the dynamic Rapid-Steady-State-T1 (RSST1 )-MRI method despite contrast agent (CA) leakage and without arterial input function (AIF) determination.<br />Methods: For vasculature impermeable to CAs, the BVf is directly quantified from the RSST1 signal amplitude. In case of CA extravasation, we propose a two-compartment model to describe the dynamic RSST1 signal increase. We applied the mathematical model in a pilot-study on a RG2-glioma model to compare extravasation of two Gd-based CAs. The BVf quantification using the mathematical model in a C6-glioma model (n = 8) with the clinical CA Gd-DOTA was validated using a ΔR2 *-steady-state MRI method with an USPIO and by immunohistochemical staining of perfused vessels labeled with Hoechst-33342 dye in the same rats.<br />Results: BVf in tumor and in healthy brain tissues (0.034 ± 0.005 and 0.026 ± 0.004, respectively) derived from the dynamic RSST1 signal were confirmed by ΔR2 *-steady-state MRI (0.036 ± 0.003 and 0.027 ± 0.002, respectively, correlation coefficient rS = 0.74) and by histology (0.036 ± 0.003 and 0.025 ± 0.004 respectively, rS = 0.87).<br />Conclusion: Straightforward tumor BVf quantification without AIF determination is demonstrated in presence of CA leakage. The method will facilitate angiogenesis assessment in longitudinal neuro-oncologic studies in particular when monitoring the response to antiangiogenic therapies.<br /> (© 2014 Wiley Periodicals, Inc.)

Details

Language :
English
ISSN :
1522-2594
Volume :
73
Issue :
3
Database :
MEDLINE
Journal :
Magnetic resonance in medicine
Publication Type :
Academic Journal
Accession number :
24733739
Full Text :
https://doi.org/10.1002/mrm.25218