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Record W2612930755 · doi:10.1161/str.47.suppl_1.tp51

Abstract TP51: Cerebral Blood Flow Threshold for Infarction After 3 Hours of Ischemia Determined in a Porcine Model of Stroke

2016· article· en· W2612930755 on OpenAlexaff
Eric A. Wright, Christopher D. d’Esterre, Laura Morrison, Neil Cockburn, Michael S. Kovacs, Ting‐Yim Lee

Bibliographic record

VenueStroke · 2016
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsRobarts Clinical TrialsLawson Health Research InstituteFoothills Medical CentreWestern University
Fundersnot available
KeywordsMedicineIschemiaInfarctionCerebral blood flowNuclear medicinePerfusionStroke (engine)Perfusion scanningBlood flowCortex (anatomy)CardiologyInternal medicineMyocardial infarctionNeuroscience

Abstract

fetched live from OpenAlex

Introduction: CT Perfusion (CTP) derived ischemia-time dependent thresholds may help with treatment decision making by allowing infarct delineation at admission and prediction of infarct growth over time. The accepted 3h ischemia-time cerebral blood flow (CBF) infarction threshold had been determined by Jones et al in primates using hydrogen clearance. The same threshold from CTP has not been determined. We used a porcine acute stroke model to find this threshold with contemporaneous CTP and PET imaging. Hypothesis: CTP derived 3h ischemia-time infarction CBF threshold will be near 12 mL100g -1 min -1 as determined in primates. Methods: Cerebral ischemia was induced in the left hemisphere of 11 pigs by injecting endothelin-1 (ET-1) into the cortex. CTP scans were acquired subsequently at 10 min and then 30 min intervals throughout the experiment. At 2.5h, 18F-FFMZ was injected, PET acquisition started at 3h. A median CBF map was produced after co-registering maps from each CTP study. Median CBF maps, PET images, average images from the baseline CTP study, and blood volume (BV) maps from the 10min post ET-1 CTP study were co-registered. ROIs were drawn over the cortex on the affected and contralateral side and superimposed onto all images. Infarct was identified on PET images with a threshold derived from the contralateral ROI. Average images were used to remove white matter from the affected side ROI. Blood vessels were excluded on BV maps with a threshold derived from the affected side ROI. Remaining infarct and non-infarct ROIs were superimposed onto the median CBF map and pixel values were imported into Matlab for ROC analysis. Results: Of 11 animals, 6 developed infarction. The optimal CBF infarction thresholds determined from the ROC curves were 10.1, 8.9, 15.0, 13.2, 12.1, and 16.2mL100g -1 min -1 . The average threshold was 12.6 ± 2.8 mL100g -1 min -1 . Conclusions: CTP derived CBF threshold for infarction at 3-h ischemia time agrees well with the accepted literature value. Infarction thresholds at other ischemia times can be found using this model by varying the time between ET-1 injection and PET imaging.

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)0.001
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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
Published2016
Admission routes1
Has abstractyes

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