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Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
by
Jeong, Young Jin
, Kang, Do-Young
, Park, Kyung Won
, Yoon, Hyun Jin
in
Accuracy
/ Alzheimer Disease - diagnostic imaging
/ Alzheimer's disease
/ Amyloid - metabolism
/ Amyloid beta-Peptides - metabolism
/ Aniline Compounds
/ Brain - diagnostic imaging
/ Brain - metabolism
/ Brain research
/ Cognitive ability
/ Comparative analysis
/ Dementia
/ Dementia disorders
/ Fluorine isotopes
/ Humans
/ Imaging
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Neostriatum
/ Neurodegenerative diseases
/ Neuroimaging
/ Nuclear Medicine
/ Original
/ Original Article
/ Patients
/ Pharmaceuticals
/ Positron emission
/ Positron emission tomography
/ Positron-Emission Tomography - methods
/ Radiochemical analysis
/ Radioisotopes
/ Radiology
/ Radiopharmaceuticals
/ Retrospective Studies
/ Senile plaques
/ Substantia alba
/ Substantia grisea
/ Temporal lobe
/ Tomography
/ β-Amyloid
2023
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Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
by
Jeong, Young Jin
, Kang, Do-Young
, Park, Kyung Won
, Yoon, Hyun Jin
in
Accuracy
/ Alzheimer Disease - diagnostic imaging
/ Alzheimer's disease
/ Amyloid - metabolism
/ Amyloid beta-Peptides - metabolism
/ Aniline Compounds
/ Brain - diagnostic imaging
/ Brain - metabolism
/ Brain research
/ Cognitive ability
/ Comparative analysis
/ Dementia
/ Dementia disorders
/ Fluorine isotopes
/ Humans
/ Imaging
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Neostriatum
/ Neurodegenerative diseases
/ Neuroimaging
/ Nuclear Medicine
/ Original
/ Original Article
/ Patients
/ Pharmaceuticals
/ Positron emission
/ Positron emission tomography
/ Positron-Emission Tomography - methods
/ Radiochemical analysis
/ Radioisotopes
/ Radiology
/ Radiopharmaceuticals
/ Retrospective Studies
/ Senile plaques
/ Substantia alba
/ Substantia grisea
/ Temporal lobe
/ Tomography
/ β-Amyloid
2023
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Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
by
Jeong, Young Jin
, Kang, Do-Young
, Park, Kyung Won
, Yoon, Hyun Jin
in
Accuracy
/ Alzheimer Disease - diagnostic imaging
/ Alzheimer's disease
/ Amyloid - metabolism
/ Amyloid beta-Peptides - metabolism
/ Aniline Compounds
/ Brain - diagnostic imaging
/ Brain - metabolism
/ Brain research
/ Cognitive ability
/ Comparative analysis
/ Dementia
/ Dementia disorders
/ Fluorine isotopes
/ Humans
/ Imaging
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Neostriatum
/ Neurodegenerative diseases
/ Neuroimaging
/ Nuclear Medicine
/ Original
/ Original Article
/ Patients
/ Pharmaceuticals
/ Positron emission
/ Positron emission tomography
/ Positron-Emission Tomography - methods
/ Radiochemical analysis
/ Radioisotopes
/ Radiology
/ Radiopharmaceuticals
/ Retrospective Studies
/ Senile plaques
/ Substantia alba
/ Substantia grisea
/ Temporal lobe
/ Tomography
/ β-Amyloid
2023
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Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
Journal Article
Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
2023
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Overview
Objective
Amyloid positron emission tomography (PET) with F-18 florbetaben (FBB), F-18 flutemetamol (FMM), and F-18 florapronol (FPN) is being used clinically for the evaluation of dementia. These radiopharmaceuticals are commonly used to evaluate the accumulation of beta-amyloid plaques in the brain, but there are structural differences between them. We investigated whether there are any differences in the imaging characteristics.
Methods
A total of 605 subjects were enrolled retrospectively in this study, including healthy subjects (HS) and patients with mild cognitive impairment or Alzheimer’s disease. Participants underwent amyloid PET imaging using one of the three radiopharmaceuticals. The PET images were analyzed visually and semi-quantitatively using a standardized uptake value ratio (SUVR). In addition, we calculated and compared the cut-off SUVR of the representative regions for each radiopharmaceutical that can distinguish between positive and negative scans.
Results
In the negative images of the HS group, the contrast between the white matter and the gray matter was high in the FMM PET images, while striatal uptake was relatively higher in the FPN PET images. The SUVR showed significant differences across the radiopharmaceuticals in all areas except the temporal lobe, but the range of differences was relatively small. Accuracy levels for the global cut-off SUVR to discriminate between positive and negative images were highest in FMM PET, with a value of 0.989. FBB PET also showed a high value of 0.978, while FPN PET showed a relatively low value of 0.901.
Conclusions
Negative amyloid PET images using the three radiopharmaceuticals showed visually and quantitatively similar imaging characteristics except in the striatum. Binary classification using the cut-off of the global cortex showed high accuracy overall, although there were some differences between the three PET images.
Publisher
Springer Nature Singapore,Springer Nature B.V
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