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Automatic covariance pattern analysis outperforms visual reading of 18 F-fluorodeoxyglucose-positron emission tomography (FDG-PET) in variant progressive supranuclear palsy.

Ralph BuchertFlorian WegnerHans-Juergen HuppertzGeorg BerdingMatthias BrendelIvayla ApostolovaCarsten BuhmannAlexander DierksSabrina KatzdoblerMartin KlietzJohannes LevinNima MahmoudiAndreas RinscheidSophia RogozinskiJost-Julian RumpfChristine SchneiderSophia StöckleinPhoebe G SpetsierisDavid EidelbergMike P WattjesOsama SabriHenryk BarthelGünter U Höglingernull null
Published in: Movement disorders : official journal of the Movement Disorder Society (2023)
Visual interpretation of FDG-PET supported by voxel-based testing provides good accuracy for the detection of PSP-RS, but only fair sensitivity for vPSP. Automatic covariance pattern analysis outperforms visual interpretation in the detection of PSP-RS, provides clinically useful sensitivity for vPSP, and reduces the rate of false-positive findings. Thus, pattern expression analysis is clinically useful to complement visual reading and voxel-based testing of FDG-PET in suspected PSP. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Keyphrases
  • positron emission tomography
  • computed tomography
  • pet ct
  • pet imaging
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  • machine learning
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  • label free
  • loop mediated isothermal amplification
  • neural network