Literature DB >> 19250707

Brain perfusion SPECT with an automated quantitative tool can identify prodromal Alzheimer's disease among patients with mild cognitive impairment.

Marie-Odile Habert1, Jean-François Horn, Marie Sarazin, Jean-Albert Lotterie, Michèle Puel, Fannie Onen, Michel Zanca, Florence Portet, Jacques Touchon, Marc Verny, Florence Mahieux, Alain Giron, Bernard Fertil, Bruno Dubois.   

Abstract

OBJECTIVE: To improve diagnosis of early Alzheimer's disease (AD), i.e., prodromal AD, by an automated quantitative tool combining brain perfusion single-photon emission computed tomography (SPECT) images and memory tests scores in order to be applied in clinical practice. PATIENTS AND METHODS: In this prospective, longitudinal, multi-centric study, a baseline (99m)Tc-ECD perfusion SPECT was performed in 83 patients with memory complaint and mild cognitive impairment (MCI). After a 3-year follow-up, 11 patients progressed to Alzheimer's disease (MCI-AD group), and 72 patients remained stable (MCI-S group), including 1 patient who developed mild vascular cognitive impairment. After comparison between the MCI-S and MCI-AD groups with a voxel-based approach, region masks were extracted from the statistically significant clusters and used alone or in combination with Free and Cued Selective Reminding Test (FCSRT) scores for the subject's categorization using linear discriminant analysis. Results were validated using the leave-one-out cross-validation method.
RESULTS: Right parietal and hippocampal perfusion was significantly (p<0.05, corrected) decreased in the MCI-AD group as compared to the MCI-S group. The patients' classification in the MCI group using the mean activity in right and left parietal cortex and hippocampus yielded a sensitivity, specificity, and accuracy of 82%, 90%, and 89%, respectively. Combination of SPECT results and FCSRT free recall scores increased specificity to 93%.
CONCLUSION: The combination of an automated quantitative tool for brain perfusion SPECT images and memory test scores was able to distinguish, in a group of amnestic MCI, patients at an early stage of AD from patients with stable MCI.
Copyright © 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19250707     DOI: 10.1016/j.neurobiolaging.2009.01.013

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  17 in total

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