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Amyloid brain-dedicated PET images can diagnose Alzheimer's pathology with Centiloid Scale.
- Source :
- Physica Medica; May2024, Vol. 121, pN.PAG-N.PAG, 1p
- Publication Year :
- 2024
-
Abstract
- • Brain-dedicated PET scanner detects Alzheimer's disease using the Centiloid scale. • The effectiveness of the Centiloid Scale requiring only PET images is demonstrated. • Centiloid Scale in a brain-dedicated PET can reduce the neurology burden on PET/CT. To evaluate whether the Centiloid Scale may be used to diagnose Alzheimer's Disease (AD) pathology effectively with the only use of amyloid PET imaging modality from a brain-dedicated PET scanner. This study included 26 patients with amyloid PET images with 3 different radiotracers. All patients were acquired both on a PET/CT and a brain-dedicated PET scanner (CareMiBrain, CMB), from which 4 different reconstructions were implemented. A new pipeline was proposed and used for the PET image analysis based on the original Centiloid Scale processing pipeline, but with only PET images. The Youden's Index was employed to calculate the optimal cutoffs for diagnosis and evaluated by the AUC, accuracy, precision, and recall metrics. The Centiloid Scale (CL) processing pipeline was validated with and without the use of MR images. The CL cutoffs for AD pathology diagnosis on the PET/CT and the 4 CMB reconstructions were 34.4 ± 2.2, 43.5 ± 3.5, 51.9 ± 12.5, 57.5 ± 6.8 and 41.8 ± 1.2 respectively. Overall, for these cutoffs all metrics obtained the maximum score. The Centiloid scale applied to PET images allows for AD pathology diagnosis. The CMB scanner can be used with the Centiloid scale to automatically assist in the diagnosis of AD pathology, relieving the large burden of neurodegenerative diseases on a traditional PET/CT. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 11201797
- Volume :
- 121
- Database :
- Supplemental Index
- Journal :
- Physica Medica
- Publication Type :
- Academic Journal
- Accession number :
- 177373244
- Full Text :
- https://doi.org/10.1016/j.ejmp.2024.103345