Trial reportScientific reports2021
Combination of automated brain volumetry on MRI and quantitative tau deposition on THK-5351 PET to support diagnosis of Alzheimer's disease.
Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02656498 (An Open Label, Multicenter Study for Evaluation of the Clinical Utility of [18F]THK-5351 Positron Emission Computed Tomography in Cognitively Healthy Volunteers, Subjects With Mild Cognitive Impairment, Subjects With Alzheimer's Disease and Subjects With Other Neurodegenerative Diseases), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
An Open Label, Multicenter Study for Evaluation of the Clinical Utility of [18F]THK-5351 Positron Emission Computed Tomography in Cognitively Healthy Volunteers, Subjects With Mild Cognitive Impairment, Subjects With Alzheimer's Disease and Subjects With Other Neurodegenerative Diseases
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic performance of hippocampal volumetry in Alzheimer's disease or mild cognitive impairment: a meta-analysis.European radiology · 2022Pooled it
- Integrating visual assessments and quantification methods for tau PET staging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Advances in the use of structural and diffusion magnetic resonance imaging for characterizing SCD and MCI due to Alzheimer's disease.Frontiers in neuroscience · 2025Review
- Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learning.Brain informatics · 2023Article
- The Use of Tau PET to Stage Alzheimer Disease According to the Braak Staging Framework.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023Review
- [Brain MRI-Based Artificial Intelligence Software in Patients with Neurodegenerative Diseases: Current Status].Taehan Yongsang Uihakhoe chi · 2022Review
- Updated Review of the Evidence Supporting the Medical and Legal Use of NeuroQuantFrontiers in human neuroscience · 2022Review
- Longitudinal Assessment of Tau-Associated Pathology byDiagnostics (Basel, Switzerland) · 2021Article
- Semiautomatic volumetry of the temporal lobes of the brain and correlation with electroencephalography results in dogs with assumed idiopathic epilepsy.Journal of veterinary internal medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Imaging biomarkers support the diagnosis of Alzheimer's disease (AD). We aimed to determine whether combining automated brain volumetry on MRI and quantitative measurement of tau deposition on [18F] THK-5351 PET can aid discrimination of AD spectrum. From a prospective database in an IRB-approved multicenter study (NCT02656498), 113 subjects (32 healthy control, 55 mild cognitive impairment, and 26 Alzheimer disease) with baseline structural MRI and [18F] THK-5351 PET were included. Cortical volumes were quantified from FDA-approved software for automated volumetric MRI analysis (NeuroQuant). Standardized uptake value ratio (SUVR) was calculated from tau PET images for 6 composite FreeSurfer-derived regions-of-interests approximating in vivo Braak stage (Braak ROIs). On volumetric MRI analysis, stepwise logistic regression analyses identified the cingulate isthmus and inferior parietal lobule as significant regions in discriminating AD from HC and MCI. The combined model incorporating automated volumes of selected brain regions on MRI (cingulate isthmus, inferior parietal lobule, hippocampus) and SUVRs of Braak ROIs on [18F] THK-5351 PET showed higher performance than SUVRs of Braak ROIs on [18F] THK-5351 PET in discriminating AD from HC (0.98 vs 0.88, P = 0.033) but not in discriminating AD from MCI (0.85 vs 0.79, P = 0.178). The combined model showed comparable performance to automated volumes of selected brain regions on MRI in discriminating AD from HC (0.98 vs 0.94, P = 0.094) and MCI (0.85 vs 0.78; P = 0.065).
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