Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting

Daniela Perani, Pasquale Anthony Della Rosa, Chiara Cerami, Francesca Gallivanone, Federico Fallanca, Emilia Giovanna Vanoli, Andrea Panzacchi, Flavio Nobili, Sabina Pappatà, Alessandra Marcone, Valentina Garibotto, Isabella Castiglioni, Giuseppe Magnani, Stefano F. Cappa, Luigi Gianolli, Alexander Drzezga, Robert Perneczky, Mira Didic, Eric Guedj, Bart N. Van BerckelRik Ossenkoppele, Silvia Morbelli, Giovanni Frisoni, Anna Caroli

Research output: Contribution to journalArticlepeer-review

Abstract

Diagnostic accuracy in FDG-PET imaging highly depends on the operating procedures. In this clinical study on dementia, we compared the diagnostic accuracy at a single-subject level of a) Clinical Scenarios, b) Standard FDG Images and c) Statistical Parametrical (SPM) Maps generated via a new optimized SPM procedure. We evaluated the added value of FDG-PET, either Standard FDG Images or SPM Maps, to Clinical Scenarios. In 88 patients with neurodegenerative diseases (Alzheimer's Disease-AD, Frontotemporal Lobar Degeneration-FTLD, Dementia with Lewy bodies-DLB and Mild Cognitive Impairment-MCI), 9 neuroimaging experts made a forced diagnostic decision on the basis of the evaluation of the three types of information. There was also the possibility of a decision of normality on the FDG-PET images. The clinical diagnosis confirmed at a long-term follow-up was used as the gold standard. SPM Maps showed higher sensitivity and specificity (96% and 84%), and better diagnostic positive (6.8) and negative (0.05) likelihood ratios compared to Clinical Scenarios and Standard FDG Images. SPM Maps increased diagnostic accuracy for differential diagnosis (AD vs. FTD; beta 1.414, p = 0.019). The AUC of the ROC curve was 0.67 for SPM Maps, 0.57 for Clinical Scenarios and 0.50 for Standard FDG Images. In the MCI group, SPM Maps showed the highest predictive prognostic value (mean LOC = 2.46), by identifying either normal brain metabolism (exclusionary role) or hypometabolic patterns typical of different neurodegenerative conditions.

Original languageEnglish
Pages (from-to)445-454
Number of pages10
JournalNeuroImage: Clinical
Volume6
DOIs
Publication statusPublished - 2014

Keywords

  • Dementia diagnosis
  • FDG-PET imaging
  • Statistical parametrical mapping
  • Voxel-based analysis

ASJC Scopus subject areas

  • Clinical Neurology
  • Radiology Nuclear Medicine and imaging
  • Cognitive Neuroscience
  • Neurology
  • Medicine(all)

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