Early Detection of Tumor Apoptotic Response to Oncolytic Virotherapy using Deep 
CEST MR Fingerprinting

Perlman, O; Ito, H; Nakashima, H; Zaiss, M; Chiocca, EA; Nguyen, C; Cohen, O; Rosen, MS; Ferrar, CT

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Meeting Abstract

Early Detection of Tumor Apoptotic Response to Oncolytic Virotherapy using Deep CEST MR Fingerprinting

MPG-Autoren

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Zaiss, M
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

Externe Ressourcen

https://www.ismrm.org/20/program_files/O50.htm
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Zitation

Perlman, O., Ito, H., Nakashima, H., Zaiss, M., Chiocca, E., Nguyen, C., et al. (2020). Early Detection of Tumor Apoptotic Response to Oncolytic Virotherapy using Deep CEST MR Fingerprinting. In 2020 ISMRM & SMRT Virtual Conference & Exhibition (pp. 213-214).

Zitierlink: https://hdl.handle.net/21.11116/0000-0006-D7B7-9

Zusammenfassung

Oncolytic virotherapy (OV) is a promising treatment for high mortality cancers. To optimize the clinical outcome, non-invasive monitoring is essential. The goal of this work was to develop a deep-learning-based technique for quantitative and rapid molecular imaging of OV treatment response. Two CEST MR-fingerprinting protocols were sequentially implemented (105s each) and incorporated within a deep-reconstruction-network, trained to output the quantitative semi-solid and amide pool exchange parameters. The resulting molecular maps allowed early apoptosis detection in brain tumor OV mouse models. Clinical translation of CEST-MRF is demonstrated in a normal human subject and yielded parameters in good agreement with literature values.