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Record W2082572010 · doi:10.1109/tns.2006.889166

A Microvolumetric $\beta$ Blood Counter for Pharmacokinetic PET Studies in Small Animals

2007· article· en· W2082572010 on OpenAlexaff
Laurence Convert, G. Morin-Brassard, J. Cadorette, D. Rouleau, Étienne Croteau, M. Archambault, Réjean Fontaine, Roger Lecomte

Bibliographic record

VenueIEEE Transactions on Nuclear Science · 2007
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPositron emission tomographyBlood samplingPhysicsNuclear medicineAnalytical Chemistry (journal)ChemistryMedicineChromatography

Abstract

fetched live from OpenAlex

Radiotracer kinetic modeling in small animals with Positron Emission Tomography (PET) requires the determination of the blood tracer concentration as a function of time. A continuous blood counting system was designed to measure the input function from rats and mice in real time. The system consists of a flow-through beta counter made of silicon PIN photodiodes and a mul syringe pump. The latter draws blood continuously from an implanted venous or arterial catheter, at a user selected rate. The direct beta detection by photodiodes minimizes the shield footprint next to the animal and reduces the counter sensitivity to ambient gamma radiation. The device is entirely remote controlled for sampling protocol selection, tuning, and real time monitoring of measured parameters. It can be hooked to a computer or fully integrated with the LabPETtrade scanner for blood counting during dynamic PET imaging experiments. The counter sensitivity to the most popular PET radioisotopes ( <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">18</sup> F, <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">64</sup> Cu, <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">13</sup> N, <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11 </sup> C) ranges from 7.1 to 46.8 Bq/mul. Its linearity is better than 98% up to 46 kBq/mul for <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">18</sup> F, and a 1.4 s dispersion constant was measured at a rate of 250 mul/min with rat whole blood in a PE10 catheter. Due to its optimized mechanical design and compact shielding, the counter sensitivity to radioactive background is only 5 counts per second (cps) for a 37 MBq <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">18</sup> F source 10 cm away from the detector. Accurate time-activity curves have been obtained from rats and mice in dynamic PET imaging studies

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.071
GPT teacher head0.385
Teacher spread0.314 · 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 designBench or experimental
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

Citations15
Published2007
Admission routes1
Has abstractyes

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