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Reproducibility of magnetic resonance fingerprinting-based T1 mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study

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  • Nikita Sushentsev
  • Joshua D Kaggie
  • Rhys A Slough
  • Bruno Carmo
  • Tristan Barrett

Abstract

Facilitating clinical translation of quantitative imaging techniques has been suggested as means of improving interobserver agreement and diagnostic accuracy of multiparametric magnetic resonance imaging (mpMRI) of the prostate. One such technique, magnetic resonance fingerprinting (MRF), has significant competitive advantages over conventional mapping techniques in terms of its multi-site reproducibility, short scanning time and inherent robustness to motion. It has also been shown to improve the detection of clinically significant prostate cancer when added to standard mpMRI sequences, however, the existing studies have all been conducted on 3.0 T MRI systems, limiting the technique’s use on 1.5 T MRI scanners that are still more widely used for prostate imaging across the globe. The aim of this proof-of-concept study was, therefore, to evaluate the cross-system reproducibility of prostate MRF T1 in healthy volunteers (HVs) using 1.5 and 3.0 T MRI systems. The initial validation of MRF T1 against gold standard inversion recovery fast spin echo (IR-FSE) T1 in the ISMRM/NIST MRI system revealed a strong linear correlation between phantom-derived MRF and IR-FSE T1 values was observed at both field strengths (R2 = 0.998 at 1.5T and R2 = 0.993 at 3T; p =

Suggested Citation

  • Nikita Sushentsev & Joshua D Kaggie & Rhys A Slough & Bruno Carmo & Tristan Barrett, 2021. "Reproducibility of magnetic resonance fingerprinting-based T1 mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-13, January.
    • Handle: RePEc:plo:pone00:0245970
    DOI: 10.1371/journal.pone.0245970
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    References listed on IDEAS

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    1. Dan Ma & Vikas Gulani & Nicole Seiberlich & Kecheng Liu & Jeffrey L. Sunshine & Jeffrey L. Duerk & Mark A. Griswold, 2013. "Magnetic resonance fingerprinting," Nature, Nature, vol. 495(7440), pages 187-192, March.
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