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Diagnostic Potential of Pulsed Arterial Spin Labeling in Alzheimer's Disease.

Trebeschi S, Riederer I, Preibisch C, Bohn KP, Förster S, Alexopoulos P, Zimmer C, Kirschke JS, Valentinitsch A - Front Neurosci (2016)

Bottom Line: The discriminant analysis is carried out to maximize the accuracy of the classification.The algorithm has been trained on a dataset of 81 subjects and achieved a sensitivity of 0.750 and a specificity of 0.875.Moreover, in accordance with the current pathological knowledge, the parietal lobe, and limbic system are shown to be the main discriminant factors.

View Article: PubMed Central - PubMed

Affiliation: Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München Munich, Germany.

ABSTRACT
Alzheimers disease (AD) is the most common cause of dementia. Although the underlying pathology is still not completely understood, several diagnostic methods are available. Frequently, the most accurate methods are also the most invasive. The present work investigates the diagnostic potential of Pulsed Arterial Spin Labeling (PASL) for AD: a non-invasive, MRI-based technique for the quantification of regional cerebral blood flow (rCBF). In particular, we propose a pilot computer aided diagnostic (CAD) procedure able to discriminate between healthy and diseased subjects, and at the same time, providing visual informative results. This method encompasses the creation of a healthy model, the computation of a voxel-wise likelihood function as comparison between the healthy model and the subject under examination, and the correction of the likelihood function via prior distributions. The discriminant analysis is carried out to maximize the accuracy of the classification. The algorithm has been trained on a dataset of 81 subjects and achieved a sensitivity of 0.750 and a specificity of 0.875. Moreover, in accordance with the current pathological knowledge, the parietal lobe, and limbic system are shown to be the main discriminant factors.

No MeSH data available.


Related in: MedlinePlus

Region Analysis. Group distributions of hypo-perfused voxels in the parietal (blue), temporal (orange), and limbic system (green). Lobes which were not fully covered by the pASL signal have been excluded. Talairach brain atlas was used to perform the analysis.
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Figure 5: Region Analysis. Group distributions of hypo-perfused voxels in the parietal (blue), temporal (orange), and limbic system (green). Lobes which were not fully covered by the pASL signal have been excluded. Talairach brain atlas was used to perform the analysis.

Mentions: With regional analysis we identified two distinct regions, which contain almost all hypo-perfused voxels: the parietal and temporal lobes, with particular focus on the limbic system, which on average accounted for 49 and 11% of the hypo-perfused voxels, respectively (Figure 5). We obtained significant differences in the parietal (p < 0.0001) and the limbic system (p = 0.0028).


Diagnostic Potential of Pulsed Arterial Spin Labeling in Alzheimer's Disease.

Trebeschi S, Riederer I, Preibisch C, Bohn KP, Förster S, Alexopoulos P, Zimmer C, Kirschke JS, Valentinitsch A - Front Neurosci (2016)

Region Analysis. Group distributions of hypo-perfused voxels in the parietal (blue), temporal (orange), and limbic system (green). Lobes which were not fully covered by the pASL signal have been excluded. Talairach brain atlas was used to perform the analysis.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4835490&req=5

Figure 5: Region Analysis. Group distributions of hypo-perfused voxels in the parietal (blue), temporal (orange), and limbic system (green). Lobes which were not fully covered by the pASL signal have been excluded. Talairach brain atlas was used to perform the analysis.
Mentions: With regional analysis we identified two distinct regions, which contain almost all hypo-perfused voxels: the parietal and temporal lobes, with particular focus on the limbic system, which on average accounted for 49 and 11% of the hypo-perfused voxels, respectively (Figure 5). We obtained significant differences in the parietal (p < 0.0001) and the limbic system (p = 0.0028).

Bottom Line: The discriminant analysis is carried out to maximize the accuracy of the classification.The algorithm has been trained on a dataset of 81 subjects and achieved a sensitivity of 0.750 and a specificity of 0.875.Moreover, in accordance with the current pathological knowledge, the parietal lobe, and limbic system are shown to be the main discriminant factors.

View Article: PubMed Central - PubMed

Affiliation: Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München Munich, Germany.

ABSTRACT
Alzheimers disease (AD) is the most common cause of dementia. Although the underlying pathology is still not completely understood, several diagnostic methods are available. Frequently, the most accurate methods are also the most invasive. The present work investigates the diagnostic potential of Pulsed Arterial Spin Labeling (PASL) for AD: a non-invasive, MRI-based technique for the quantification of regional cerebral blood flow (rCBF). In particular, we propose a pilot computer aided diagnostic (CAD) procedure able to discriminate between healthy and diseased subjects, and at the same time, providing visual informative results. This method encompasses the creation of a healthy model, the computation of a voxel-wise likelihood function as comparison between the healthy model and the subject under examination, and the correction of the likelihood function via prior distributions. The discriminant analysis is carried out to maximize the accuracy of the classification. The algorithm has been trained on a dataset of 81 subjects and achieved a sensitivity of 0.750 and a specificity of 0.875. Moreover, in accordance with the current pathological knowledge, the parietal lobe, and limbic system are shown to be the main discriminant factors.

No MeSH data available.


Related in: MedlinePlus