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  Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning

Perlman, O., Ito, H., Herz, K., Shono, N., Nakashima, H., Zaiss, M., et al. (2022). Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning. Nature Biomedical Engineering, 6(5), 648-657. doi:10.1038/s41551-021-00809-7.

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https://www.nature.com/articles/s41551-021-00809-7.pdf (Verlagsversion)
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 Urheber:
Perlman, O, Autor
Ito, H, Autor
Herz, K1, 2, Autor           
Shono, N, Autor
Nakashima, H, Autor
Zaiss, M1, 2, Autor           
Chiocca, EA, Autor
Cohen, O, Autor
Rosen, MS, Autor
Farrar, CT, Autor
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Zusammenfassung: Non-invasive imaging methods for detecting intratumoural viral spread and host responses to oncolytic virotherapy are either slow, lack specificity or require the use of radioactive or metal-based contrast agents. Here we show that in mice with glioblastoma multiforme, the early apoptotic responses to oncolytic virotherapy (characterized by decreased cytosolic pH and reduced protein synthesis) can be rapidly detected via chemical-exchange-saturation-transfer magnetic resonance fingerprinting (CEST-MRF) aided by deep learning. By leveraging a deep neural network trained with simulated magnetic resonance fingerprints, CEST-MRF can generate quantitative maps of intratumoural pH and of protein and lipid concentrations by selectively labelling the exchangeable amide protons of endogenous proteins and the exchangeable macromolecule protons of lipids, without requiring exogenous contrast agents. We also show that in a healthy volunteer, CEST-MRF yielded molecular parameters that are in good agreement with values from the literature. Deep-learning-aided CEST-MRF may also be amenable to the characterization of host responses to other cancer therapies and to the detection of cardiac and neurological pathologies.

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 Datum: 2021-112022-05
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1038/s41551-021-00809-7
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Titel: Nature Biomedical Engineering
  Kurztitel : Nat Biomed Eng
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: London ; New York NY ; Tokyo : Nature Research
Seiten: - Band / Heft: 6 (5) Artikelnummer: - Start- / Endseite: 648 - 657 Identifikator: ISSN: 2157-846X
CoNE: https://pure.mpg.de/cone/journals/resource/2157-846X