Highly specific amyloid and tau PET ligands for ATN classification in suspected Alzheimer's disease patients

被引:0
|
作者
Matsuda, Hiroshi [1 ,2 ,6 ]
Hanyu, Haruo [3 ]
Kaneko, Chikako [4 ]
Ogura, Masato [1 ,2 ]
Yamao, Tensho [5 ]
机构
[1] Southern Tohoku Res Inst Neurosci, Drug Discovery & Cyclotron Res Ctr, 7-61-2 Yatsuyamada, Koriyama, Fukushima 9638052, Japan
[2] Fukushima Med Univ, Dept Pediat, Hikarigaoka 1, Fukushima, Fukushima 9601295, Japan
[3] Tokyo Gen Hosp, Dementia Res Ctr, 3-15-2 Egota, Nakano-Ku, Tokyo 1650022, Japan
[4] Southern Tohoku Gen Hosp, Dept Neurol, 7-115 Yatsuyamada, Koriyama, Fukushima 9638052, Japan
[5] Fukushima Med Univ, Sch Hlth Sci, Dept Radiol Sci, 10-6 Sakae, Fukushima, Fukushima 9608516, Japan
[6] Southern Tohoku Res Inst Neurosci, Metropolitan Off, Shinotemachi-Bldg,6F,621,2-2-1,Otemachi,Chiyoda K, Tokyo 1000004, Japan
关键词
Alzheimer's disease; Amyloid imaging; Tau imaging; Positron emission tomography; F-18-AZD4694; DIAGNOSIS;
D O I
10.1007/s12149-025-02018-7
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectiveThis study aims to accurately classify ATN profiles using highly specific amyloid and tau PET ligands and MRI in patients with cognitive impairment and suspected Alzheimer's disease (AD). It also aims to explore the relationship between quantified amyloid and tau deposition and cognitive function.MethodsTwenty-seven patients (15 women and 12 men; age range: 64-81 years) were included in this study. Amyloid and tau PET scans were performed using 18F-NAV4694 and 18F-MK6240, respectively. For each patient, amyloid and tau PET images were visually assessed and classified as either amyloid-positive or amyloid-negative, and as 18F-MK6240 Braak stage 0 (tau-negative) or Braak stages I-VI (tau-positive). Voxel-based morphometry of three-dimensional T1-weighted MRI was used to evaluate neurodegeneration. Amyloid and tau depositions were quantified using the Centiloid scale and standardized uptake value ratio (SUVR), respectively. Global cognitive function was assessed with the Mini-Mental State Examination (MMSE).ResultsPatients were categorized into seven ATN profiles. Six patients (22%) exhibited a normal AD biomarker profile, 15 patients (56%) fell within the Alzheimer's continuum, and 14 patients (52%) were diagnosed with AD. Additionally, six patients (22%) displayed non-AD pathological changes. Positive and negative findings of amyloid and tau PET were concordant in 24 patients (89%). Among the 14 patients diagnosed with AD, the Centiloid scale for amyloid deposition did not show a significant negative correlation with MMSE scores (r = 0.269, p = 0.451). In contrast, the SUVR for tau deposition in the neocortex exhibited a significant negative correlation (r = -0.689, p = 0.014), while tau deposition in the mesial temporal region did not show a significant correlation (r = 0.158, p = 0.763).ConclusionHighly specific amyloid and tau PET scans, along with MRI, can be utilized to accurately classify ATN profiles in patients with cognitive impairment and suspected AD. The discordance in amyloid and tau PET findings in three patients allowed for a more precise AD diagnosis. Furthermore, tau PET imaging provided insight into the propagation of tau deposition in the neocortex beyond the mesial temporal region, which is associated with cognitive decline.
引用
收藏
页数:8
相关论文
共 50 条
  • [32] Brain Atrophy Subtypes and the ATN Classification Scheme in Alzheimer's Disease
    Cedres, Nira
    Ekman, Urban
    Poulakis, Konstantinos
    Shams, Sara
    Cavallin, Lena
    Muehlboeck, Sebastian
    Granberg, Tobias
    Wahlund, Lars-Olof
    Ferreira, Daniel
    Westman, Eric
    NEURODEGENERATIVE DISEASES, 2021, 20 (04) : 153 - 164
  • [33] Influence of Gender on Tau Precipitation in Alzheimer's Disease According to ATN Research Framework
    Zhang, Ying
    Lu, Jiaying
    Wang, Min
    Zuo, Chuantao
    Jiang, Jiehui
    PHENOMICS, 2023, 3 (06): : 565 - 575
  • [34] Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer's disease
    Duong, Michael Tran
    Das, Sandhitsu R.
    Lyu, Xueying
    Xie, Long
    Richardson, Hayley
    Xie, Sharon X.
    Yushkevich, Paul A.
    Wolk, David A.
    Nasrallah, Ilya M.
    NATURE COMMUNICATIONS, 2022, 13 (01)
  • [35] IN VIVO TAU IMAGING WITH PET IN ALZHEIMER'S DISEASE
    Villemagne, V. L.
    Furumoto, S.
    Fodero-Tavoletti, M.
    Mulligan, R.
    Young, K.
    Kudo, Y.
    Masters, C. L.
    Yanai, K.
    Rowe, C. C.
    Okamura, N.
    INTERNAL MEDICINE JOURNAL, 2012, 42 : 32 - 33
  • [36] Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer’s disease
    Michael Tran Duong
    Sandhitsu R. Das
    Xueying Lyu
    Long Xie
    Hayley Richardson
    Sharon X. Xie
    Paul A. Yushkevich
    David A. Wolk
    Ilya M. Nasrallah
    Nature Communications, 13
  • [37] Influence of Gender on Tau Precipitation in Alzheimer’s Disease According to ATN Research Framework
    Ying Zhang
    Jiaying Lu
    Min Wang
    Chuantao Zuo
    Jiehui Jiang
    Phenomics, 2023, 3 : 565 - 575
  • [38] Longitudinal tau PET in ageing and Alzheimer's disease
    Jack, Clifford R., Jr.
    Wiste, Heather J.
    Schwarz, Christopher G.
    Lowe, Val J.
    Senjem, Matthew L.
    Vemuri, Prashanthi
    Weigand, Stephen D.
    Therneau, Terry M.
    Knopman, Dave S.
    Gunter, Jeffrey L.
    Jones, David T.
    Graff-Radford, Jonathan
    Kantarci, Kejal
    Roberts, Rosebud O.
    Mielke, Michelle M.
    Machulda, Mary M.
    Petersen, Ronald C.
    BRAIN, 2018, 141 : 1517 - 1528
  • [39] Tau positron emission tomography in patients with cognitive impairment and suspected Alzheimer's disease
    Matsuda, Hiroshi
    Yamao, Tensho
    FUKUSHIMA JOURNAL OF MEDICAL SCIENCE, 2023, 69 (02) : 85 - 93
  • [40] Beyond the AJR: Tau PET, Amyloid PET, and MRI as Prognostic Markers in Early Alzheimer Disease
    Kuo, Phillip H.
    Zukotynski, Katherine
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2022, 218 (05) : 924 - 924