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Record W1969342853 · doi:10.1117/12.480418

CT measurement of indomethacin-induced cerebral hemodynamic changes in the newborn piglet

2003· article· en· W1969342853 on OpenAlexaff
Derek W. Brown, Jennifer Hadway, Ting‐Yim Lee

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsHemodynamicsMedicineAnesthesiaCardiology

Abstract

fetched live from OpenAlex

Patent ductus arteriosus (PDA), a common condition among preterm infants, increases the risk of intraventricular hemorrhage, bronchopulmonary dysplasia, and death in afflicted individuals. Current clinical treatment of PDA relies on use of the drug indomethacin to close the ductus arteriosus. In the present study, we have investigated the effect of indomethacin on cerebral blood flow (CBF), cerebral blood volume (CBV), and cerebral mean transit time (MTT) in newborn piglets using computed tomography (CT) perfusion. Twenty newborn piglets divided by age into two groups, less than 12 hours of age (n = 10) and greater than 12 hours of age (n = 10) were studied. Five piglets in each group received indomethacin treatment (0.2 mg/kg infused over 30 min) while remaining piglets served as controls. No significant changes in CBF were observed in control groups. In both indomethacin treated groups, average CBF decreased 32.3% and 34.3% (P > 0.05) below baseline immediately post infusion in piglets less than and greater than 12 hours of age respectively. Piglets less than 12hours of age treated with indomethacin also exhibited a delayed increase in CBF, maximum average increase of 41.7% (P > 0.05) above baseline at 210 min post infusion, a response not observed in the corresponding group of piglets greater than 12 hours of age. The observed age dependent response may be due to functional/anatomical closure of the PDA.

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)0.001
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 score0.245
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.019
GPT teacher head0.239
Teacher spread0.220 · 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

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicCardiovascular Conditions and TreatmentsFrench-language works237,207