Cargando…

Dual-phase (18)F-florbetaben PET provides cerebral perfusion proxy along with beta-amyloid burden in Alzheimer’s disease

BACKGROUND: This study investigated changes in brain perfusion and Aβ burden according to the progression of Alzheimer’s disease (AD) by using a dual-phase (18)F-florbetaben (FBB) PET protocol. METHODS: Sixty subjects, including 12 with Aβ-negative normal cognition (Aβ(−)NC), 32 with Aβ-positive mil...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yoon, Hai-Jeon, Kim, Bom Sahn, Jeong, Jee Hyang, Kim, Geon Ha, Park, Hee Kyung, Chun, Min Young, Ha, Seunggyun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2021
Materias:	Regular Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346681/ https://www.ncbi.nlm.nih.gov/pubmed/34339946 http://dx.doi.org/10.1016/j.nicl.2021.102773

Ejemplares similares

Florbetaben for PET Imaging of Beta-Amyloid Plaques in the Brain
por: Richards, Danielle, et al.
Publicado: (2014)

Beta-amyloid imaging with florbetaben
por: Sabri, Osama, et al.
Publicado: (2015)

(18)F-Florbetaben PET beta-amyloid binding expressed in Centiloids
por: Rowe, Christopher C., et al.
Publicado: (2017)

Patterns of Focal Amyloid Deposition Using (18)F-Florbetaben PET in Patients with Cognitive Impairment
por: Chung, Sung-eun, et al.
Publicado: (2022)

Appropriate reference region selection of (18)F-florbetaben and (18)F-flutemetamol beta-amyloid PET expressed in Centiloid
por: Cho, Soo Hyun, et al.
Publicado: (2020)

The Impact of Amyloid-Beta Positivity with 18F-Florbetaben PET on Neuropsychological Aspects in Parkinson’s Disease Dementia
por: Na, Seunghee, et al.
Publicado: (2020)

Comparison of early F-18 Florbetaben PET/CT to Tc-99m ECD SPECT using voxel, regional, and network analysis
por: Kwon, Soo Jin, et al.
Publicado: (2021)

Amyloid PET imaging in multiple sclerosis: an (18)F-florbetaben study
por: Matías-Guiu, Jordi A., et al.
Publicado: (2015)

Early detection of amyloid load using (18)F-florbetaben PET
por: Bullich, Santiago, et al.
Publicado: (2021)

(18)F-florbetaben whole-body PET/MRI for evaluation of systemic amyloid deposition
por: Baratto, Lucia, et al.
Publicado: (2018)

Ethnic comparison of pharmacokinetics of (18)F-florbetaben, a PET tracer for beta-amyloid imaging, in healthy Caucasian and Japanese subjects
por: Senda, Michio, et al.
Publicado: (2014)

Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments
por: Cho, Soo Hyun, et al.
Publicado: (2020)

Assessment of brain beta-amyloid deposition in transgenic mouse models of Alzheimer’s disease with PET imaging agents (18)F-flutemetamol and (18)F-florbetaben
por: Son, Hye Joo, et al.
Publicado: (2018)

Feasibility of in vivo (18)F-florbetaben PET/MR imaging of human carotid amyloid-β
por: Bucerius, Jan, et al.
Publicado: (2017)

Whole Brain Voxel-Wise Analysis of Cerebral Retention of Beta-Amyloid in Cognitively Normal Older Adults Using (18)F-Florbetaben
por: Um, Yoo Hyun, et al.
Publicado: (2017)

FIBT versus florbetaben and PiB: a preclinical comparison study with amyloid-PET in transgenic mice
por: Yousefi, Behrooz H, et al.
Publicado: (2015)

Author Correction: Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments
por: Cho, Soo Hyun, et al.
Publicado: (2021)

Subcutaneous Uptake on [18F]Florbetaben PET/CT: a Case Report of Possible Amyloid-Beta Immune-Reactivity After COVID-19 Vaccination
por: Laudicella, Riccardo, et al.
Publicado: (2021)

Predictive Scale for Amyloid PET Positivity Based on Clinical and MRI Variables in Patients with Amnestic Mild Cognitive Impairment
por: Chun, Min Young, et al.
Publicado: (2022)

Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes
por: Kim, Jun Pyo, et al.
Publicado: (2019)

Cross-Sectional Comparison of Small Animal [(18)F]-Florbetaben Amyloid-PET between Transgenic AD Mouse Models
por: Brendel, Matthias, et al.
Publicado: (2015)

Development of Amyloid PET Analysis Pipeline Using Deep Learning-Based Brain MRI Segmentation—A Comparative Validation Study
por: Lee, Jiyeon, et al.
Publicado: (2022)

(18)F–THK–5351, Fluorodeoxyglucose, and Florbetaben PET Images in Atypical Alzheimer’s Disease: A Pictorial Insight into Disease Pathophysiology
por: Park, Sohee, et al.
Publicado: (2021)

Clinical utility of FDG uptake within reticuloendothelial system on F-18 FDG PET/CT for prediction of tumor recurrence in breast cancer
por: Bang, Ji-In, et al.
Publicado: (2018)

Evaluation of early-phase [(18)F]-florbetaben PET acquisition in clinical routine cases
por: Daerr, Sonja, et al.
Publicado: (2016)

(18)F-Florbetaben Amyloid PET Imaging: A Chinese Study in Cognitive Normal Controls, Mild Cognitive Impairment, and Alzheimer’s Disease Patients
por: Chang, Yan, et al.
Publicado: (2020)

In vitro Characterization of the Regional Binding Distribution of Amyloid PET Tracer Florbetaben and the Glia Tracers Deprenyl and PK11195 in Autopsy Alzheimer’s Brain Tissue
por: Ni, Ruiqing, et al.
Publicado: (2021)

Axillary Lymph Node-to-Primary Tumor Standard Uptake Value Ratio on Preoperative (18)F-FDG PET/CT: A Prognostic Factor for Invasive Ductal Breast Cancer
por: Kim, Young Hwan, et al.
Publicado: (2015)

Clinical value of delayed (18)F-FDG PET/CT for predicting nipple-areolar complex involvement in breast cancer: A comparison with clinical symptoms and breast MRI
por: Yoo, Jang, et al.
Publicado: (2018)

Percentage change of primary tumor on (18)F-FDG PET/CT as a prognostic factor for invasive ductal breast cancer with axillary lymph node metastasis: Comparison with MRI
por: Yoo, Jang, et al.
Publicado: (2017)

Validation of quantitative assessment of florbetaben PET scans as an adjunct to the visual assessment across 15 software methods
por: Jovalekic, Aleksandar, et al.
Publicado: (2023)

Prognostic value of diffuse splenic FDG uptake on PET/CT in patients with gastric cancer
por: Yoon, Hai-Jeon, et al.
Publicado: (2018)

Prognostic value of (18)F-FDG brain PET as an early indicator of neurological outcomes in a rat model of post-cardiac arrest syndrome
por: Kim, Daehee, et al.
Publicado: (2019)

Optimized dual-time-window protocols for quantitative [(18)F]flutemetamol and [(18)F]florbetaben PET studies
por: Heeman, Fiona, et al.
Publicado: (2019)

Clinical Relevance of [(18)F]Florbetaben and [(18)F]FDG PET/CT Imaging on the Management of Patients with Dementia
por: Librizzi, Damiano, et al.
Publicado: (2021)

Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer’s Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography
por: Willuweit, Antje, et al.
Publicado: (2021)

Blood pool activity on F-18 FDG PET/CT as a possible imaging biomarker of metabolic syndrome
por: Bang, Ji-In, et al.
Publicado: (2020)

Performance evaluation in [(18)F]Florbetaben brain PET images classification using 3D Convolutional Neural Network
por: Lee, Seung-Yeon, et al.
Publicado: (2021)

Glucose metabolism of visceral adipose tissue measured by (18)F-FDG PET/CT is related to the presence of colonic adenoma
por: Yoon, Hai-Jeon, et al.
Publicado: (2017)

Generation of Conventional (18)F-FDG PET Images from (18)F-Florbetaben PET Images Using Generative Adversarial Network: A Preliminary Study Using ADNI Dataset
por: Choi, Hyung Jin, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_dt300qjvkos2286s7kt33g40ek