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Record W7133033229

Hyperpolarized 129Xe MRI of Embryonic Stem Cell-derived Alveolar-like Macrophages in Rat Lungs: Proof-of-concept Study Using Superparamagnetic Iron-Oxide Nanoparticles

2019· dissertation· W7133033229 on OpenAlexaff
Vlora Riberdy

Bibliographic record

VenueTSpace · 2019
Typedissertation
Language
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIn vivoHistologyEmbryonic stem cellMagnetic resonance imagingSIGNAL (programming language)In vitroSuperparamagnetism
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this work was to investigate the effect of SPION-labeled alveolar-like macrophages on hyperpolarized 129Xe MRI signal in vivo by measuring the change in T2* at two different time points after instillation. MRI was performed in 6 healthy mechanically ventilated rats prior to the instillation of 4 million SPION-labeled ALMs and repeated 5 minutes and one hour following instillation. T2* changes were measured and compared to rats receiving 4 million unlabeled ALMs. Regions of signal loss were observed immediately after instillation of unlabeled and SPION-labeled ALMs but only persisted one hour after the instillation of SPION-labeled ALMs. One hour after the instillation of SPION-labeled ALMs the T2* decreased by 54.0 ± 7.0 %, compared to a full recovery after unlabeled ALMs. Histology confirmed that the location of SPIONs in the airways of each rat were co-localized to the regions of signal loss observed with MRI.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.315
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

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