Quantification of PET amyloid [18] Florbetaben using the Centiloid Scale

Abstract Background Alzheimer´s disease (AD) is the main neurodegenerative disorder and leading cause of dementia. AD neuropathology involves the extracellular formation of senile plaques with β‐amyloid peptide and intraneuronal tau phosphorylation, leading to neurofibrillary tangle accumulation. These can be detected by biomarkers obtained from cerebrospinal fluid or Positron Emission Tomography (PET) using specific radiotracers. Amyloid PET results can be interpreted by standard uptake values (SUVR > 1.42 positive or < 1.42 negative) or by the Centiloid scale (CL) which anchored from 0 to 100, classifying low βA uptake (<30 CL), intermediate‐high βA (>30 CL and <50 CL) and high βA (>50 CL). The aim is to analyze the distribution of CL values in [18F]Florbetaben (FBB) PET images in a sample of DA suspects. Method A retrospective study was carried out using 28 anonymized images of FBB amyloid PET. The PET images were obtained using in the PET/CT system and the Magnetic Resonance Imaging (MRI). For this study, T1‐weighted structural images were used for co‐registration with PET images and normalization with the CL atlas. In this study, the images were processed using PMOD software with the PNEURO tool. Result The implementation of CL required reproducing the image processing steps with the GAAIN dataset. A total of 28 participants were included in our study and Figure 1 shows the graph of this investigation. In Table 1, when analyzing the CL, the data shows a varied distribution: 8 participants below 30CL, 9 recorded values between 30CL and 50CL, and 11 presented values above 50CL. Figure 2 shows an example of a positive and negative individual. The analysis of the distribution of individuals with different stages of aging in CL allowed us to investigate how the use of different cut‐off points for the βA classification can have an impact on the diagnosis of AD pathology. Conclusion The use of the CL is an accurate and robust method to evaluate amyloid deposition in the brain. The communication of PET scan results with the CL scale also allows normalization for any amyloid radiopharmaceuticals, making it more suitable for analysis of disease progression and response to treatment.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.092829
Primary Topic
Advanced NMR Techniques and Applications
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article
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article

Quantification of PET amyloid [18] Florbetaben using the Centiloid Scale

Ana Maria Marques da Silva, Lucas Porcello Schilling, Cristiano Schaffer Aguzzoli, Maya Maya Barbosa Silva et al.
Alzheimer s & Dementia
Advanced NMR Techniques and Applications
article

Quantification of PET amyloid [18] Florbetaben using the Centiloid Scale

Ana Maria Marques da Silva, Lucas Porcello Schilling, Cristiano Schaffer Aguzzoli, Maya Maya Barbosa Silva, Fabricio Nery Garrafiel
article en

Abstract

Abstract Background Alzheimer´s disease (AD) is the main neurodegenerative disorder and leading cause of dementia. AD neuropathology involves the extracellular formation of senile plaques with β‐amyloid peptide and intraneuronal tau phosphorylation, leading to neurofibrillary tangle accumulation. These can be detected by biomarkers obtained from cerebrospinal fluid or Positron Emission Tomography (PET) using specific radiotracers. Amyloid PET results can be interpreted by standard uptake values (SUVR > 1.42 positive or < 1.42 negative) or by the Centiloid scale (CL) which anchored from 0 to 100, classifying low βA uptake (<30 CL), intermediate‐high βA (>30 CL and <50 CL) and high βA (>50 CL). The aim is to analyze the distribution of CL values in [18F]Florbetaben (FBB) PET images in a sample of DA suspects. Method A retrospective study was carried out using 28 anonymized images of FBB amyloid PET. The PET images were obtained using in the PET/CT system and the Magnetic Resonance Imaging (MRI). For this study, T1‐weighted structural images were used for co‐registration with PET images and normalization with the CL atlas. In this study, the images were processed using PMOD software with the PNEURO tool. Result The implementation of CL required reproducing the image processing steps with the GAAIN dataset. A total of 28 participants were included in our study and Figure 1 shows the graph of this investigation. In Table 1, when analyzing the CL, the data shows a varied distribution: 8 participants below 30CL, 9 recorded values between 30CL and 50CL, and 11 presented values above 50CL. Figure 2 shows an example of a positive and negative individual. The analysis of the distribution of individuals with different stages of aging in CL allowed us to investigate how the use of different cut‐off points for the βA classification can have an impact on the diagnosis of AD pathology. Conclusion The use of the CL is an accurate and robust method to evaluate amyloid deposition in the brain. The communication of PET scan results with the CL scale also allows normalization for any amyloid radiopharmaceuticals, making it more suitable for analysis of disease progression and response to treatment.

Alzheimer s & DementiaVol. 20(S2)
Universidade de São Paulo (BR), Instituto do Cérebro (BR), Pontifícia Universidade Católica do Rio Grande do Sul (BR)
Openalex Percentile: Top 80%
Advanced NMR Techniques and Applications
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