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Record W2086641152 · doi:10.1097/mnm.0b013e328304e0e1

Automated radiosynthesis of the Pittsburg compound-B using a commercial synthesizer

2008· article· en· W2086641152 on OpenAlexfundno aff
Mathieu Verdurand, Guillaume Bort, Vincent Tadino, Frédéric Bonnefoi, Didier Le Bars, Luc Zimmer

Bibliographic record

VenueNuclear Medicine Communications · 2008
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
FundersUniversity of TorontoAdvanced Accelerator Applications
KeywordsRadiosynthesisPositron emission tomographyPet imagingChemistryTrifluoromethanesulfonateNuclear medicineRadiochemistryMedicineOrganic chemistry

Abstract

fetched live from OpenAlex

BACKGROUND: The Pittsburgh compound-B ([11C]PIB) is a highly interesting radiotracer for imaging amyloid plaques in Alzheimer's disease by positron emission tomography (PET). An increasing number of PET centres schedule its transfer for clinical studies and therefore are interested in its automated synthesis. METHOD: With the aim of flexibility, we reported the first fully automated synthesis of [11C]PIB with the coupling of two commercial synthesizers. RESULTS: [11C]PIB was prepared from 2-(4'-aminophenyl)-6-hydroxybenzothiazole by [11C]methyl triflate methylation reacting in an high-performance liquid chromatography loop and resulting in a total radiochemical yield of 13+/-15% after a synthesis time of 25 min. The specific activity of [11C]PIB was 20-60 GBq/micromol and its radiochemical purity is more than 99%. CONCLUSION: The rapid synthesis and the automatic auto-cleaning procedure allow convenient and reproducible [11C]PIB synthesis to be performed during the same day for preclinical or clinical PET scans.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.120
GPT teacher head0.361
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations33
Published2008
Admission routes1
Has abstractyes

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