A Comparison of Two Statistical Mapping Tools for Automated Brain FDG-PET Analysis in Predicting Conversion to Alzheimer’s Disease in Subjects with Mild Cognitive Impairment - Aix-Marseille Université Access content directly
Journal Articles Current Alzheimer Research Year : 2021

A Comparison of Two Statistical Mapping Tools for Automated Brain FDG-PET Analysis in Predicting Conversion to Alzheimer’s Disease in Subjects with Mild Cognitive Impairment

Valentina Garibotto
Sara Trombella
  • Function : Author
Luigi Antelmi
  • Function : Author
Paolo Bosco
  • Function : Author
Alberto Redolfi
  • Function : Author
Claire Tabouret-Viaud
  • Function : Author
Olivier Rager
  • Function : Author
Gabriel Gold
  • Function : Author
Panteleimon Giannakopoulos
  • Function : Author
Silvia Morbelli
  • Function : Author
Flavio Nobili
Robert Perneczky
  • Function : Author
Mira Didic
Alexander Drzezga
  • Function : Author
Rik Ossenkoppele
  • Function : Author
Bart Van Berckel
  • Function : Author
Osman Ratib
  • Function : Author
Giovanni Frisoni

Abstract

Objective: Automated voxel-based analysis methods are used to detect cortical hypometabolism typical of Alzheimer’s Disease (AD) on FDG-PET brain scans. We compared the accuracy of two clinically validated tools for their ability to identify those MCI subjects progressing to AD at followup, to evaluate the impact of the analysis method on FDG-PET diagnostic performance. Methods: SPMGrid and BRASS (Hermes Medical Solutions, Stockholm, Sweden) were tested on 131 MCI and elderly healthy controls from the EADC PET dataset. The concordance between the tools was tested by correlating the quantitative parameters (z- and t-values), calculated by the two software tools, and by measuring the topographical overlap of the abnormal regions (Dice score). Three independent expert readers blindly assigned a diagnosis based on the two map sets. We used conversion to AD dementia as the gold standard. Results: The t-map and z-map calculated with SPMGrid and BRASS, respectively, showed a good correlation (R > .50) for the majority of individual cases (128/131) and for the majority of selected regions of interest (ROIs) (98/116). The overlap of the hypometabolic patterns from the two tools was, however, poor (Dice score .36). The diagnostic performance was comparable, with BRASS showing significantly higher sensitivity (.82 versus .59) and SPMGrid showing higher specificity (.87 versus .52). Conclusion: Despite similar diagnostic performance in predicting conversion to AD in MCI subjects, the two tools showed significant differences, and the maps provided by the tools showed limited overlap. These results underline the urgency for standardization across FDG-PET analysis methods for their use in clinical practice.

Dates and versions

hal-03224880 , version 1 (12-05-2021)

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Valentina Garibotto, Sara Trombella, Luigi Antelmi, Paolo Bosco, Alberto Redolfi, et al.. A Comparison of Two Statistical Mapping Tools for Automated Brain FDG-PET Analysis in Predicting Conversion to Alzheimer’s Disease in Subjects with Mild Cognitive Impairment. Current Alzheimer Research, 2021, 17 (13), pp.1186-1194. ⟨10.2174/1567205018666210212162443⟩. ⟨hal-03224880⟩
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