In vivo selective imaging of tau pathology in Alzheimer's disease with 18F-THK5117
Bibliographic record
Abstract
136 Objectives PET imaging of tau pathology would be useful for early and accurate diagnosis of dementia, tracking disease progression and evaluating treatment efficacy of anti-tau drugs. We have developed a novel PET tracer 18F-THK5117 that labels neurofibrillary tangles with high selectivity. To assess the clinical usefulness of this tracer, 18F-THK5117 PET studies were performed in healthy controls (HC) and Alzheimer9s disease (AD) patients and compared with 11C-PiB PET. Methods 8 AD patients and 6 age-matched HC subjects underwent 18F-THK5117 PET scans for 90 min. 11C-PiB PET scans were additionally performed in the same population. Standard uptake value ratios (SUVR) between 60-80 minutes post injection for THK5117 and SUVR between 40-70 minutes post injection for PiB were calculated using the cerebellar cortex as the reference region. Partial volume correction, accounting for both grey matter atrophy and white matter spill-over, was performed using PMOD 3.4 software. Results AD patients showed 18F-THK5117 retention in the lateral and medial temporal cortices, areas known to contain high concentrations of tau deposits. 18F-THK5117 SUVR in these areas reached a plateau at 60 minutes post injection. Regional distribution of 18F-THK5117 differed considerably from that of 11C-PiB in AD brains. 18F-THK5117 retention in the temporal cortex was correlated with the severity of dementia. In addition, 18F-THK5117 retention in the hippocampus was correlated with hippocampal volume in AD patients. Intriguingly, 18F-THK5117 retention in the right temporal lobe was observed in HC subject with right temporal lobe atrophy. Conclusions 18F-THK5117 appears to selectively detect tau pathology in AD patients. This tracer could be employed to study longitudinal tau deposition in healthy aging and pathological conditions. Research Support Supported in part by the research fund from GE Healthcare, the Industrial Technology Research Grant Program of the NEDO, Health and Labor Sciences Research Grants from the Ministry of Health, Labor, and Welfare, and the ‘Japan Advanced Molecular Imaging Program (J-AMP)’ of the Ministry of Education, Culture, Sports, Science, and Technology of Japan.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".