Literature DB >> 24733739

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

Michel Sarraf1, Adriana Teodora Perles-Barbacaru, Marie France Nissou, Boudewijn van der Sanden, François Berger, Hana Lahrech.   

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.
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.
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).
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.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  C6-glioma model; RSST1-MRI method; quantitative magnetic resonance imaging; tumor blood volume fraction; two-compartment model; vascular permeability

Mesh:

Substances:

Year:  2014        PMID: 24733739     DOI: 10.1002/mrm.25218

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


  1 in total

1.  Application of high-fat cell model in steady-state regulation of vascular function.

Authors:  Qinghong Song; Yan Zhang
Journal:  Saudi J Biol Sci       Date:  2019-09-24       Impact factor: 4.219

  1 in total

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