Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
304-03-005 ISMRM Abstract

Preliminary findings in differentiating pseudoprogression from true progression in high-grade gliomas using MR Elastography

Primary: Contrast Mechanisms - Elastography
Secondary: Neuro - Tumors
304-03-005 · Precision MRI: Advanced Quantitative Imaging and Biomarkers for Brain Tumors · Monday, 11 May, 1:50 PM–3:40 PM · Ballroom East
Keywords: Treatment Response Glioma Biomarker validation MRE Clinic Patient MR Imaging
Accepted
Bin Deng 1,2, Maya Viera3, W. Scott Hoge4, Ralph Sinkus5,6, Elizabeth R Gerstner1,3, Samuel Patz1,2,7
1Harvard Medical School, Boston, United States of America
2Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
3Mass General Brigham Cancer Institute, Boston, United States of America
4SigProc Expert Solutions, Westwood, United States of America
5Department of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
6LVTS, Inserm U1148, University Paris Diderot, Paris, France
7Department of Radiology, Brigham and Women's Hospital, Boston, United States of America
Presenting Author: Bin Deng

Synopsis

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References

1. C. Taylor, J. O. Ekert, V. Sefcikova, N. Fersht, and G. Samandouras, “Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis.,” Sci. Rep., vol. 12, no. 1, p. 13258, 2022, PMID: 35918373. [pmid]
2. A. Arani, A. Manduca, R. L. Ehman, and J. Huston Iii, “Harnessing brain waves: a review of brain magnetic resonance elastography for clinicians and scientists entering the field.,” Br. J. Radiol., vol. 94, no. 1119, p. 20200265, 2021, PMID: 33605783. [pmid]
3. L. V Hiscox, C. L. Johnson, E. Barnhill, et al., “Magnetic resonance elastography (MRE) of the human brain: technique, findings and clinical applications.,” Phys. Med. Biol., vol. 61, no. 24, pp. R401–R437, 2016, PMID: 27845941. [pmid]
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5. C. Guenthner, S. Sethi, M. Troelstra, et al., “Ristretto MRE: A generalized multi-shot GRE-MRE sequence,” NMR Biomed., p. e4049, 2019, PMID: 30697827. [pmid]
6. J. H. Runge, S. H. Hoelzl, J. Sudakova, et al., “A novel magnetic resonance elastography transducer concept based on a rotational eccentric mass: preliminary experiences with the gravitational transducer.,” Phys. Med. Biol., vol. 64, no. 4, p. 045007, 2019, PMID: 30566925. [pmid]
7. A. Beers, J. Brown, K. Chang, K. Hoebel, J. Patel, K. I. Ly, S. M. Tolaney, P. Brastianos, B. Rosen, E. R. Gerstner, and J. Kalpahty-Cramer, “DeepNeuro: an open-source deep learning toolbox for neuroimaging,” Neuroinformatics, vol. 19, no. 1, p. 127-140, 2021, PMID: 32578020. [pmid]
8. K. Schregel, N. Nazari, M. O. Nowicki, et al., “Characterization of glioblastoma in an orthotopic mouse model with magnetic resonance elastography.,” NMR Biomed., vol. 31, no. 10, p. e3840, 2018, PMID: 29193449. [pmid]
9. H. Fels‐Palesandro, S. Heuer, B. Boztepe, et al., “Assessment of Tumor Cell Invasion and Radiotherapy Response in Experimental Glioma by Magnetic Resonance Elastography,” J. Magn. Reson. Imaging, 2024, PMID: 39177509. [pmid]
10. 10. K.-J. Streitberger, M. Reiss-Zimmermann, F. B. Freimann, et al., “High-resolution mechanical imaging of glioblastoma by multifrequency magnetic resonance elastography.,” PLoS One, vol. 9, no. 10, p. e110588, 2014, PMID: 25338072. [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/304-03-005