MétaCan
Menu
Back to cohort
Record W4308961890 · doi:10.1101/2022.11.11.516055

Selective brain cooling monitored by CT perfusion as adjuvant therapy in a porcine model of severe ischemic stroke

2022· preprint· en· W4308961890 on OpenAlexaff
Olivia Tong, Kevin J. Chung, Jennifer Hadway, Laura Morrison, Lise Desjardins, Susan Tyler, Marcus Flamminio, Lynn Keenliside, Ting‐Yim Lee

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldMedicine
TopicThermal Regulation in Medicine
Canadian institutionsRobarts Clinical TrialsLawson Health Research InstituteWestern University
Fundersnot available
KeywordsMedicineHypothermiaStroke (engine)PerfusionCerebral blood flowPerfusion scanningAdjuvantAdjuvant therapyAnesthesiaCardiologyInternal medicineChemotherapy

Abstract

fetched live from OpenAlex

Abstract Despite the advances in ischemic stroke treatment, not all patients are eligible for or fully recovered after recanalization therapies. Therapeutic hypothermia could be adjuvant therapy that optimizes the beneficial effect of reperfusion. While conventional whole-body cooling has severe adverse effects, selective brain cooling has emerged as an attractive alternative. However, clinical application is limited by the lack of optimal delivery methods and unknown treatment parameters. Optimal parameters may depend on injury levels and monitoring cerebral perfusion may provide valuable information. Here, we show that selective brain cooling via our in-house developed Vortex tube IntraNasal Cooling Instrument (VINCI), even with a clinically relevant delay in treatment, can attenuate subacute injuries in animals with severe ischemic stroke. The treatment responses of selective brain cooling were characterized by CT Perfusion (CTP). The predicted lesion volume by CTP matched the true infarct volume by histology when the brain temperature was decreased by 5°C from normothermia. More importantly, we found that global hyperemia (high cerebral blood flow) before rewarming could be an early manifestation of poor treatment outcomes. Altogether, our study shows that VINCI-enabled brain cooling could be guided by CTP imaging as adjuvant therapy for severe ischemic stroke. This work lays the groundwork toward individualized selective brain cooling. Significance Statement Not all patients suffering from ischemic stroke are eligible or fully recovered after recanalization therapies. Therapeutic hypothermia could be an adjuvant therapy, but the clinical application is hindered by the delivery methods. The optimum treatment depth and duration are also unknown, and they may depend on the injury level. We developed a non-invasive selective brain cooling device, Vortex tube IntraNasal Cooling Instrument (VINCI). The treatment responses were characterized by CT Perfusion (CTP). Global hyperemia (high cerebral blood flow) was identified and could be an early manifestation of poor treatment outcomes. Our work shows that VINCI-enabled brain cooling could be guided by CTP imaging as adjuvant therapy for ischemic stroke. This work also lays the groundwork toward individualized selective brain cooling.

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 categoriesMeta-epidemiology (narrow)
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 score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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.

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicThermal Regulation in MedicineFrench-language works237,207