Volume 47, Issue 6 pp. 1589-1600
Original Research

Multiparametric characterization of response to anti-angiogenic therapy using USPIO contrast-enhanced MRI in combination with dynamic contrast-enhanced MRI

Jana Kim PhD

Corresponding Author

Jana Kim PhD

Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway

Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

Address reprint requests to: J.K., Olav Kyrres gate 9, MTFS, 7030 Trondheim, Norway. E-mail:[email protected]Search for more papers by this author
Eugene Kim PhD

Eugene Kim PhD

Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway

Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

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Leslie R. Euceda PhD

Leslie R. Euceda PhD

Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway

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Dan E. Meyer PhD

Dan E. Meyer PhD

Biosciences Technology Organization, GE Global Research Center, Niskayuna, NY, United States

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Karina Langseth PhD

Karina Langseth PhD

GE Healthcare AS, Oslo, Norway

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Tone F. Bathen PhD

Tone F. Bathen PhD

Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway

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Siver A. Moestue PhD

Siver A. Moestue PhD

Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway

Department of Laboratory Medicine, Women's and Children's Health, NTNU - Norwegian University of Science and Technology, Trondheim, Norway

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Else Marie Huuse PhD

Else Marie Huuse PhD

Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway

Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

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First published: 04 December 2017
Citations: 12

Abstract

Background

Steady state susceptibility contrast (SSC)-MRI provides information on vascular morphology but is a rarely used method.

Purpose

To investigate the utility of the ultrasmall superparamagnetic iron oxide particles (USPIOs) GEH121333 for measuring tumor response to bevacizumab and compare this with gadolinium-based DCE-MRI.

Study Type

Prospective preclinical animal model study.

ANIMAL MODEL

Mice bearing subcutaneous TOV-21G human ovarian cancer xenografts treated with bevacizumab (n = 9) or saline (n = 9).

Field Strength/Sequence

Imaging was performed on a 7T Bruker Biospec. For SSC-MRI with GEH121333 we acquired R1-maps (RARE-sequence with variable TR), R2-maps (multi-spin echo), and urn:x-wiley:10531807:media:jmri25898:jmri25898-math-0001-maps (multi-gradient echo). Additionally, R1 and R2 maps were measured on the days after USPIO injection. For DCE-MRI with gadodiamide we acquired 200 T1-weighted images (RARE-sequence).

Assessment

ΔR1, ΔR2, and urn:x-wiley:10531807:media:jmri25898:jmri25898-math-0002 maps were computed from SSC-MRI. DCE-MRI was analysed using the extended Tofts model.

Statistical Tests

Results from pre- and 3 days posttreatment SSC-MRI were compared using paired-sample t-tests. Treatment and control groups were compared using independent sample t-tests. Performance of SSC- and DCE-MRI was compared using multivariate partial least squares discriminant analysis.

Results

Already one day after treatment and USPIO injection, R1 and R2 values were lower in treated (R1 = 0.49 ± 0.03s−1, R2 = 23.07 ± 1.49s−1) compared with control tumors (R1 = 0.52 ± 0.02s−1, R2 = 24.98 ± 1.01s−1), indicating lower USPIO accumulation. Posttreatment SSC-MRI displayed significantly decreased tumor blood volume (change in ΔR2 = -0.43 ± 0.26s−1, P = 0.001) and vessel density (change in Q = -0.032 ± 0.020s−1/3, P = 0.002). DCE-MRI showed among others lower Ktrans in treated tumors (control = 0.064 ± 0.011min−1, tx = 0.046 ± 0.008min−1, P = 0.002). Multivariate analysis suggests that SSC-MRI was slightly inferior to DCE-MRI in distinguishing treated from control tumors (accuracy = 75%, P = 0.058 versus 80%, P = 0.028), but a combination of both was best (accuracy = 85%; P = 0.003).

Data Conclusion

SSC-MRI with GEH121333 is sensitive to early (<24 h) and late changes in tumor vasculature. SSC-MRI and DCE-MRI provide complementary information and can be used to assess different aspects of vascular responses to anti-angiogenic therapies.

Level of Evidence: 1

Technical Efficacy: Stage 2

J. Magn. Reson. Imaging 2018;47:1589–1600.

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