Developments in Tau PET Imaging
Bibliographic record
Abstract
ABSTRACT The presence of neurofibrillary tangles in the brain is a hallmark feature of several neurodegenerative diseases termed "tauopathies," including Alzheimer's disease (AD) and the tau molecular subgroup of frontotemporal lobar degeneration (FTLD-tau). Recently, several positron emission tomography (PET) radiopharmaceuticals targeting abnormal conformations of the tau protein have been developed. To date, six novel tau imaging agents-[18F]THK523, [18F]THK5105, [18F]THK5117, [18F]T807, [18F]T808, and [11C]PBB3-have been described and are considered promising as potential tau radioligands. Tau imaging agents offer the opportunity of in vivo topographical mapping and quantification of tau aggregates in parallel with clinical and cognitive assessments. As such, tau imaging is considered of key importance for progress toward earlier and more accurate diagnosis of tauopathies as well as for the monitoring of therapeutic interventions and drug development. Here, we shed light on the most important developments in tau radiopharmaceuticals, highlighting challenges, possibilities and future directions.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".