Literature DB >> 32474468

Head-to-Head Comparison of 18F-Florbetaben and 18F-Flutemetamol in the Cortical and Striatal Regions.

Soo Hyun Cho1,2, Yeong Sim Choe1,3,4, Young Ju Kim1,4, Hee Jin Kim1,4, Hyemin Jang1,4, Yeshin Kim5, Si Eun Kim6, Seung Joo Kim7, Jun Pyo Kim1,4, Young Hee Jung8, Byeong C Kim2, Samuel N Lockhart9, Gill Farrar10, Duk L Na1,3,4,11, Seung Hwan Moon12, Sang Won Seo1,4,13,14,15.   

Abstract

BACKGROUND: 18F-florbetaben (FBB) and 18F-flutemetamol (FMM) amyloid PET have been developed and approved for clinical use. It is important to understand the distinct features of these ligands to compare and correctly interpret the results of different amyloid PET studies.
OBJECTIVE: We performed a head-to-head comparison of FBB and FMM to compare with regard to imaging characteristics, including dynamic range of retention, and differences in quantitative measurements between the two ligands in cortical, striatal, and white matter (WM) regions.
METHODS: Paired FBB and FMM PET images were acquired in 107 participants. Correlations of FBB and FMM amyloid deposition in the cortex, striatum, and WM were investigated and compared in different reference regions (cerebellar gray matter (CG), whole cerebellum (WC), WC with brainstem (WC + B), and pons).
RESULTS: The cortical SUVR (R2 = 0.97) and striatal SUVR (R2 = 0.95) demonstrated an excellent linear correlation between FBB and FMM using a WC as reference region. There was no difference in the cortical SUVR ratio between the two ligands (p = 0.90), but the striatal SUVR ratio was higher in FMM than in FBB (p < 0.001). Also, the effect size of differences in striatal SUVR seemed to be higher with FMM (2.61) than with FBB (2.34). These trends were similarly observed according to four different reference regions (CG, WC, WC + B, and pons).
CONCLUSION: Our findings suggest that FMM might be better than FBB to detect amyloid burden in the striatum, although both ligands are comparable for imaging AD pathology in vivo.

Entities:  

Keywords:  18F-florbetaben; 18F-flutemetamol; Alzheimer’s disease; amyloid imaging; head to head

Mesh:

Substances:

Year:  2020        PMID: 32474468     DOI: 10.3233/JAD-200079

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  8 in total

1.  Association of impaired fasting glucose and Type 2 Diabetes Mellitus with brain volume changes in Alzheimer's Disease patients analyzed by MRI: a retrospective study.

Authors:  Weiwei Wang; Leongtim Wong; Lin Shi; Yishan Luo; Zhanhua Liang; Chunbo Dong; Qingwei Song; Tieli Liu; Qing Zhang; Ailian Liu; Yanwei Miao; Jianlin Wu
Journal:  PeerJ       Date:  2020-08-27       Impact factor: 2.984

2.  Harmonisation of PET imaging features with different amyloid ligands using machine learning-based classifier.

Authors:  Sung Hoon Kang; Jeonghun Kim; Jun Pyo Kim; Soo Hyun Cho; Yeong Sim Choe; Hyemin Jang; Hee Jin Kim; Seong-Beom Koh; Duk L Na; Joon-Kyung Seong; Sang Won Seo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-07-30       Impact factor: 9.236

3.  Prediction of amyloid β PET positivity using machine learning in patients with suspected cerebral amyloid angiopathy markers.

Authors:  Young Hee Jung; Hyejoo Lee; Hee Jin Kim; Duk L Na; Hyun Jeong Han; Hyemin Jang; Sang Won Seo
Journal:  Sci Rep       Date:  2020-11-02       Impact factor: 4.379

4.  18F-THK5351 PET Positivity and Longitudinal Changes in Cognitive Function in β-Amyloid-Negative Amnestic Mild Cognitive Impairment.

Authors:  Min Young Chun; Jongmin Lee; Jee Hyang Jeong; Jee Hoon Roh; Seung Jun Oh; Minyoung Oh; Jungsu S Oh; Jae Seung Kim; Seung Hwan Moon; Sook-Young Woo; Young Ju Kim; Yeong Sim Choe; Hee Jin Kim; Duk L Na; Hyemin Jang; Sang Won Seo
Journal:  Yonsei Med J       Date:  2022-03       Impact factor: 2.759

Review 5.  Amyloid and Tau Positron Emission Tomography Imaging in Alzheimer's Disease and Other Tauopathies.

Authors:  Cinzia Maschio; Ruiqing Ni
Journal:  Front Aging Neurosci       Date:  2022-04-22       Impact factor: 5.702

6.  A Comparative Study on the Predictive Value of Different Resting-State Functional Magnetic Resonance Imaging Parameters in Preclinical Alzheimer's Disease.

Authors:  Sheng-Min Wang; Nak-Young Kim; Dong Woo Kang; Yoo Hyun Um; Hae-Ran Na; Young Sup Woo; Chang Uk Lee; Won-Myong Bahk; Hyun Kook Lim
Journal:  Front Psychiatry       Date:  2021-06-11       Impact factor: 4.157

7.  Development of Amyloid PET Analysis Pipeline Using Deep Learning-Based Brain MRI Segmentation-A Comparative Validation Study.

Authors:  Jiyeon Lee; Seunggyun Ha; Regina E Y Kim; Minho Lee; Donghyeon Kim; Hyun Kook Lim
Journal:  Diagnostics (Basel)       Date:  2022-03-02

8.  AMYQ: An index to standardize quantitative amyloid load across PET tracers.

Authors:  Jordi Pegueroles; Victor Montal; Alexandre Bejanin; Eduard Vilaplana; Mateus Aranha; Miguel Angel Santos-Santos; Daniel Alcolea; Ignasi Carrió; Valle Camacho; Rafael Blesa; Alberto Lleó; Juan Fortea
Journal:  Alzheimers Dement       Date:  2021-04-02       Impact factor: 21.566

  8 in total

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