ArticleDiagnostics (Basel, Switzerland)2022
Development of Amyloid PET Analysis Pipeline Using Deep Learning-Based Brain MRI Segmentation-A Comparative Validation Study.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 20 citations in OpenAlex.
- Impact of adjunctive quantitative analysis on visual interpretation of amyloid PET: a multiple tracer, multicentre study.European radiology · 2026Article
- Soluble and plaque amyloid associations with peripheral glucose dysregulation modulated by tau pathology in Alzheimer's disease.The journal of prevention of Alzheimer's disease · 2026Observational
- Cerebellar subregional structural changes across the Alzheimer's disease continuum: a longitudinal analysis of cognitive and behavioural correlates.Brain communications · 2026Article
- Neuroimaging correlates and biomarker performance of a fully automated plasma p-tau217/Aβ42 ratio assay in a clinical cohort with Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Differential effects of soluble and plaque amyloid on late-life depression: The moderating role of tau pathology.The journal of prevention of Alzheimer's disease · 2025Article
- petBrain: a new pipeline for amyloid, Tau tangles and neurodegeneration quantification using PET and MRI.Alzheimer's research & therapy · 2025Article
- Cutoff SUVR of [Nuclear medicine and molecular imaging · 2025Article
- Reliability of Automated Amyloid PET Quantification: Real-World Validation of Commercial Tools Against Centiloid Project Method.Tomography (Ann Arbor, Mich.) · 2025Article
- Potential utility of salivary gland amyloid uptake as a surrogate marker for adipose tissue and amyloid-beta dynamics based on its association with BMI and cerebral amyloid burden.Scientific reports · 2025Article
- Consistency Analysis of Centiloid Values Across Three Commercial Software Platforms for Amyloid PET Quantification.Diagnostics (Basel, Switzerland) · 2025Article
- Follicle-stimulating hormone linked to cognitive decline and amyloid burden in postmenopausal women.Frontiers in aging neuroscience · 2025Article
- A Case of Late-Onset De Novo Huntington's Disease Diagnosed viaDementia and neurocognitive disorders · 2024Article
- Effects of strategic white matter hyperintensities of cholinergic pathways on basal forebrain volume in patients with amyloid-negative neurocognitive disorders.Alzheimer's research & therapy · 2024Article
- A Comparative Analysis of Two Automated Quantification Methods for Regional Cerebral Amyloid Retention: PET-Only and PET-and-MRI-Based Methods.International journal of molecular sciences · 2024Article
- Development of a prediction model for cognitive impairment of sarcopenia using multimodal neuroimaging in non-demented older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- A Review of Machine Learning Approaches for Brain Positron Emission Tomography Data Analysis.Nuclear medicine and molecular imaging · 2024Review
- Associations between Education Years and Resting-state Functional Connectivity Modulated byClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024Article
- Generative AI unlocks PET insights: brain amyloid dynamics and quantification.Frontiers in aging neuroscience · 2024Article
- Modulation of associations between education years and cortical volume in Alzheimer's disease vulnerable brain regions by Aβ deposition andFrontiers in aging neuroscience · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Amyloid positron emission tomography (PET) scan is clinically essential for the non-invasive assessment of the presence and spatial distribution of amyloid-beta deposition in subjects with cognitive impairment suspected to have been a result of Alzheimer's disease. Quantitative assessment can enhance the interpretation reliability of PET scan; however, its clinical application has been limited due to the complexity of preprocessing. This study introduces a novel deep-learning-based approach for SUVR quantification that simplifies the preprocessing step and significantly reduces the analysis time. Using two heterogeneous amyloid ligands, our proposed method successfully distinguished standardized uptake value ratio (SUVR) between amyloidosis-positive and negative groups. The proposed method's intra-class correlation coefficients were 0.97 and 0.99 against PETSurfer and PMOD, respectively. The difference of global SUVRs between the proposed method and PETSurfer or PMOD were 0.04 and -0.02, which are clinically acceptable. The AUC-ROC exceeded 0.95 for three tools in the amyloid positive assessment. Moreover, the proposed method had the fastest processing time and had a low registration failure rate (1%). In conclusion, our proposed method calculates SUVR that is consistent with PETSurfer and PMOD, and has advantages of fast processing time and low registration failure rate. Therefore, PET quantification provided by our proposed method can be used in clinical practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.