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Multicentric study on the reproducibility and robustness of PET-based radiomics features with a realistic activity painting phantom

Author

Listed:
  • Piroska Kallos-Balogh
  • Norman Felix Vas
  • Zoltan Toth
  • Szabolcs Szakall
  • Peter Szabo
  • Ildiko Garai
  • Zita Kepes
  • Attila Forgacs
  • Lilla Szatmáriné Egeresi
  • Dahlbom Magnus
  • Laszlo Balkay

Abstract

Previously, we developed an "activity painting" tool for PET image simulation; however, it could simulate heterogeneous patterns only in the air. We aimed to improve this phantom technique to simulate arbitrary lesions in a radioactive background to perform relevant multi-center radiomic analysis. We conducted measurements moving a 22Na point source in a 20-liter background volume filled with 5 kBq/mL activity with an adequately controlled robotic system to prevent the surge of the water. Three different lesion patterns were "activity-painted" in five PET/CT cameras, resulting in 8 different reconstructions. We calculated 46 radiomic indeces (RI) for each lesion and imaging setting, applying absolute and relative discretization. Reproducibility and reliability were determined by the inter-setting coefficient of variation (CV) and the intraclass correlation coefficient (ICC). Hypothesis tests were used to compare RI between lesions. By simulating precisely the same lesions, we confirmed that the reconstructed voxel size and the spatial resolution of different PET cameras were critical for higher order RI. Considering conventional RIs, the SUVpeak and SUVmean proved the most reliable (CV

Suggested Citation

  • Piroska Kallos-Balogh & Norman Felix Vas & Zoltan Toth & Szabolcs Szakall & Peter Szabo & Ildiko Garai & Zita Kepes & Attila Forgacs & Lilla Szatmáriné Egeresi & Dahlbom Magnus & Laszlo Balkay, 2024. "Multicentric study on the reproducibility and robustness of PET-based radiomics features with a realistic activity painting phantom," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-24, October.
    • Handle: RePEc:plo:pone00:0309540
    DOI: 10.1371/journal.pone.0309540
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    1. repec:plo:pone00:0207658 is not listed on IDEAS
    2. George Amadeus Prenosil & Thilo Weitzel & Markus Fürstner & Michael Hentschel & Thomas Krause & Paul Cumming & Axel Rominger & Bernd Klaeser, 2020. "Towards guidelines to harmonize textural features in PET: Haralick textural features vary with image noise, but exposure-invariant domains enable comparable PET radiomics," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-23, March.
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