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Record W2258501304 · doi:10.1161/str.44.suppl_1.atp48

Abstract TP48: Caveats When Using the CT Perfusion Derived Cerebral Blood Volume Lesion to Help Guide Thrombolysis Treatment in Acute Ischemic Stroke

2013· article· en· W2258501304 on OpenAlexaff
Christopher D. d’Esterre, Enrico Fainardi, Ting Yim Lee

Bibliographic record

VenueStroke · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsLawson Health Research InstituteWestern University
Fundersnot available
KeywordsMedicineThrombolysisInfarctionPerfusionPerfusion scanningStroke (engine)SSS*Blood volumeCardiologyBrain sizeCerebral infarctionNuclear medicineWhite matterInternal medicineRadiologyIschemiaMagnetic resonance imagingMyocardial infarction

Abstract

fetched live from OpenAlex

Background: Very low CT perfusion (CTP)-derived cerebral blood volume (CBV) has shown promise in defining infarction and may also be used as a predictor of hemorrhagic transformation (HT). We sought to determine whether the CTP-CBV defect (CBVD) correlates with final infarct volume, as defined by a 3 month NCCT, and whether the CBV defect volume is associated with hemorrhagic transformation (HT). Methods: CBV defect (CBVD) volumes were outlined on all CBV functional maps using previously established CBV thresholds for infarction, CBV<1.1 ml•100g-1 and CBV<0.75 ml•100g-1 for gray and white matter, respectively. Final infarct volumes were traced on 3 month NCCT. Patients were separated into two sub-groups according to the percent truncation of the ischemic tissue TDC (ITDC) calculated at onset. A model of linear regression was used to observe whether the admission CBVD could predict final infarct volume on NCCTD. Average admission CBVD volumes for patients with hemorrhagic infarction (HI), parenchymal hematoma (PH) and no HT were calculated and compared. Results: Thirty patients were included. There were 21/30 patients (70%) whose onset CBVD volume was less than the NCCTD at 3 months; mean volume difference was 24.2 [range(1.5 to 88mL)]. Six of these patients had truncation of the ITDC at onset. There were 9 patients (30%) whose onset CBVD volume was larger than the final infarct volume from the 3 month NCCT (NCCTD); mean volume difference was -9.9mL [range(-28.5 to -0.2mL)]. Of these 9/30 patients, 8 had truncation of the ITDC at admission. For the onset CBVD versus NCCTD, the coefficients of determination (R2) were 0.56, 0.70 and 0.46 for all patients, truncation positive and truncation negative groups, respectively. 30% of patients had hyperemia at onset, defined as an increase in CBV relative to the contralateral side. HT was observed in 13/30 patients: 8 HI, 5 PH. Symptomatic intracerebral hemorrhage was found in 1 patient. Average CBVD volumes for HI, PH and non-HT groups were 15.7±17.4, 47.1±29.9 and 16.3±27.0, respectively (p > 0.05). Conclusions: The acute CBV defect remains an important diagnostic parameter for acute ischemic stroke if both truncation of the ITDC and variable perfusion states within tissue destined to infarct are taken into account.

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)0.025
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.025
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.048
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.278
Teacher spread0.256 · 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 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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