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

  • Ralph Buchert (Geteilte/r Erstautor/in)
  • Florian Wegner (Geteilte/r Erstautor/in)
  • Hans-Jürgen Huppertz
  • Georg Berding
  • Matthias Brendel
  • Ivayla Apostolova
  • Carsten Buhmann
  • Alexander Dierks
  • Sabrina Katzdobler
  • Martin Klietz
  • Johannes Levin
  • Nima Mahmoudi
  • Andreas Rinscheid
  • Sophia Rogozinski
  • Jost-Julian Rumpf
  • Christine Schneider
  • Sophia Stöcklein
  • Phoebe G Spetsieris
  • David Eidelberg
  • Mike P Wattjes
  • Osama Sabri (Geteilte/r Letztautor/in)
  • Henryk Barthel (Geteilte/r Letztautor/in)
  • Günter Höglinger (Geteilte/r Letztautor/in)
  • Alzheimer’s Disease Neuroimaging Initiative

Abstract

BACKGROUND: To date, studies on positron emission tomography (PET) with 18 F-fluorodeoxyglucose (FDG) in progressive supranuclear palsy (PSP) usually included PSP cohorts overrepresenting patients with Richardson's syndrome (PSP-RS).

OBJECTIVES: To evaluate FDG-PET in a patient sample representing the broad phenotypic PSP spectrum typically encountered in routine clinical practice.

METHODS: This retrospective, multicenter study included 41 PSP patients, 21 (51%) with RS and 20 (49%) with non-RS variants of PSP (vPSP), and 46 age-matched healthy controls. Two state-of-the art methods for the interpretation of FDG-PET were compared: visual analysis supported by voxel-based statistical testing (five readers) and automatic covariance pattern analysis using a predefined PSP-related pattern.

RESULTS: Sensitivity and specificity of the majority visual read for the detection of PSP in the whole cohort were 74% and 72%, respectively. The percentage of false-negative cases was 10% in the PSP-RS subsample and 43% in the vPSP subsample. Automatic covariance pattern analysis provided sensitivity and specificity of 93% and 83% in the whole cohort. The percentage of false-negative cases was 0% in the PSP-RS subsample and 15% in the vPSP subsample.

CONCLUSIONS: 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.

Bibliografische Daten

OriginalspracheEnglisch
ISSN0885-3185
DOIs
StatusVeröffentlicht - 27.10.2023

Anmerkungen des Dekanats

© 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

PubMed 37655363