Tau Imaging in Atypical Parkinsonism: Preliminary Evidence with [11C]PBB3 PET in PSP Subjects (S5.001)
Bibliographic record
Abstract
Objective:To study selective regional binding for Tau pathology in vivo, with [11C]PBB3 ([11C]methylamino pyridin-3-yl buta-1,3-dienyl benzo[d]thiazol-6-ol) in PSP (Progressive Supranuclear Palsy) patients, and evaluate its correlation with clinical severity. Background: The differential diagnosis of parkinsonian disorders can be challenging due to their clinical overlap. Imaging tau pathology in vivo with PET is emerging as a clinical biomarker for more accurate diagnosis, and future assessment of disease modifying therapies. Methods: Dynamic PET scans were obtained for 70 min after the bolus injection of [11C]PBB3 (mean dose 518.97MBq) in three subjects and 8 age-matched healthy controls. We selected [11C]PBB3 as a tracer due to its high specific activity, high binding specificity, good blood-brain barrier permeability, reactivity with non-Alzheimer-type tau pathologies and good tracer kinetic properties. Subjects included three with a probable PSP-Parkinsonism diagnosis of 7, 10 and 12 years of disease duration since symptom onset. Results were analyzed using a multilinear reference tissue model. Results: In healthy controls, there was no regionally selective uptake. In PSP subjects, the highest retention of [11C]PBB3 was observed in putamen, thalamus and substantia nigra. This was in keeping with areas known to be responsible for clinical symptoms, and with previous pathological evidence of tau accumulation. Longer disease duration and more advanced clinical severity were generally associated with higher tracer retention. Conclusions: All PSP-Parkinsonism phenotype patients showed increased retention of the tracer in the basal ganglia, as clinically expected, and giving in vivo evidence for tau pathology. Tau imaging is a promising tool for the assessment of diagnosis, prognosis, progression, and future monitoring of therapy in PSP and related conditions.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".