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Record W2261473546 · doi:10.1161/str.43.suppl_1.a2618

Abstract 2618: Blood Brain Barrier Permeability Increases in Intracerebral Hemorrhage do not Predict Perihematoma Edema Growth

2012· article· en· W2261473546 on OpenAlexaff
Sana Vahidy, Rebecca McCourt, E B Gould, Deepak Gupta, Umair Mushtaq, Negar Asdaghi, Shelagh B. Coutts, Michael D. Hill, Andrew M. Demchuk, Thomas Jeerakathil, Derek Emery, Kenneth Butcher

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineIntracerebral hemorrhageHematomaEdemaPathophysiologyAnesthesiaCerebral edemaVascular permeabilityNuclear medicineInternal medicineSurgeryGlasgow Coma Scale

Abstract

fetched live from OpenAlex

Background: The etiology of edema in intracerebral hemorrhage (ICH) is controversial. Most studies are consistent with a vasogenic rather than cytotoxic pathophysiology. It is unknown, however, if the blood brain barrier (BBB) is compromised in ICH and to what extent this is related to either hematoma expansion or edema development. BBB permeability was measured with CT perfusion (CTP) in ICH patients. We hypothesized that perihematoma edema volume and growth would be associated with elevated permeability. We also tested the hypothesis that elevated PS would be associated with hematoma growth. Methods: Patients with ICH were assessed with CTP within 24 hours of symptom onset. Maps of BBB permeability-surface area product (PS), a measure of extravascular contrast leakage rate, were calculated from CTP source images. Mean PS was measured in regions of interest (ROI) defining the hematoma, a 1cm radial peri-hematoma region, and ipsilateral and contralateral hemispheres. The total perihematoma edema volume was also measured objectively, based on Hounsfield unit thresholds of ≤24 at the time of the CTP and 24 h later. Results: PS maps were generated in 50 patients (13 female). The median (IQR) time from symptom onset to CTP was 8.2 (12.4) h. Median hematoma volume at baseline was 16.4 (28.2) mL. Mean PS was higher in the hematoma (3.24±1.34 ml/100g/min), relative to contralateral regions (1.82±0.84 ml/100g/min, P<0.0001). PS was also elevated in the perihematoma region (2.50±1.13 ml/100g/min vs. 1.78±0.81 ml/100g/min, P<0.0001). Ipsilateral hemispheric PS was higher (2.08±1.00 ml/100g/min) than in the contralateral hemisphere (1.82±0.82 ml/100g/min, P=0.002). Acute hematoma volume did not predict PS elevations in the hematoma itself (R=0.004 [-0.01, 0.02], P=0.07) or perihematoma region (R=0.002 [-0.01, 0.01], P=0.74). Linear regression indicated that acute edema volume was not predicted by perihematoma PS (R=-0.68 [-2.15, 0.79], P=0.36). Follow-up CT scans at a median of 22.5 (IQR=2.4) h after the baseline CTP were obtained in 43 patients. Median perihematoma edema volume increased from 1.9 (2.6) mL to 3.2 (5.0) mL (P=<0.0001). This edema volume growth was not predicted by the acute perihematoma PS (R=0.03 [-1.62, 1.68], P=0.98). Significant hematoma expansion (>6 ml) was seen in 5 patients. There was a non-significant trend to higher median hematoma PS values in these 5 patients (3.7 (1.9) vs. 2.7 (1.7) in those with stable hematoma volumes, P=0.09). Conclusions: Small elevations in BBB permeability in and around the hematoma are common in ICH and do not appear to be related to hematoma volume. Neither acute perihematoma edema volume or edema growth is explained by BBB compromise. A relationship between elevated intra-hematoma permeability and significant hematoma expansion cannot be excluded and should be explored in a larger ICH population.

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)0.003
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.014
GPT teacher head0.275
Teacher spread0.261 · 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
Published2012
Admission routes1
Has abstractyes

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