Validation of FDG-PET datasets of normal controls for the extraction of SPM-based brain metabolism maps.
Eur J Nucl Med Mol Imaging
; 48(8): 2486-2499, 2021 07.
Article
in En
| MEDLINE
| ID: mdl-33423088
ABSTRACT
PURPOSE:
An appropriate healthy control dataset is mandatory to achieve good performance in voxel-wise analyses. We aimed at evaluating [18F]FDG PET brain datasets of healthy controls (HC), based on publicly available data, for the extraction of voxel-based brain metabolism maps at the single-subject level.METHODS:
Selection of HC images was based on visual rating, after Cook's distance and jack-knife analyses, to exclude artefacts and/or outliers. The performance of these HC datasets (ADNI-HC and AIMN-HC) to extract hypometabolism patterns in single patients was tested in comparison with the standard reference HC dataset (HSR-HC) by means of Dice score analysis. We evaluated the performance and comparability of the different HC datasets in the assessment of single-subject SPM-based hypometabolism in three independent cohorts of patients, namely, ADD, bvFTD and DLB.RESULTS:
Two-step Cook's distance analysis and the subsequent jack-knife analysis resulted in the selection of n = 125 subjects from the AIMN-HC dataset and n = 75 subjects from the ADNI-HC dataset. The average concordance between SPM hypometabolism t-maps in the three patient cohorts, as obtained with the new datasets and compared to the HSR-HC standard reference dataset, was 0.87 for the AIMN-HC dataset and 0.83 for the ADNI-HC dataset. Pattern expression analysis revealed high overall accuracy (> 80%) of the SPM t-map classification according to different statistical thresholds and sample sizes.CONCLUSIONS:
The applied procedures ensure validity of these HC datasets for the single-subject estimation of brain metabolism using voxel-wise comparisons. These well-selected HC datasets are ready-to-use in research and clinical settings.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Fluorodeoxyglucose F18
/
Positron-Emission Tomography
Limits:
Humans
Language:
En
Journal:
Eur J Nucl Med Mol Imaging
Journal subject:
MEDICINA NUCLEAR
Year:
2021
Document type:
Article
Affiliation country:
Italy
Publication country:
ALEMANHA
/
ALEMANIA
/
DE
/
DEUSTCHLAND
/
GERMANY