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Record W2129523127 · doi:10.1109/ultsym.2008.0161

Antivascular effects of pulsed low intensity ultrasound and microbubbles in mouse tumors

2008· article· en· W2129523127 on OpenAlexaff
David E. Goertz, Raffi Karshafian, Kullervo Hynynen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMicrobubblesUltrasoundBolus (digestion)Blood flowContrast enhancementLow-intensity pulsed ultrasoundBiomedical engineeringContrast-enhanced ultrasoundMedicineNuclear medicineTherapeutic ultrasoundMaterials scienceRadiologySurgeryMagnetic resonance imaging

Abstract

fetched live from OpenAlex

In this study we investigate the feasibility of inducing transient and sustained blood flow changes in murine tumors with pulsed low intensity ultrasound. Subcutaneous xenograft melanoma tumors were situated in the hind limbs of mice and exposed to 1 MHz (740 kPa) pulsed ultrasound following a bolus injection of Definitytrade microbubbles. Flow within the tumors was monitored using a 9 MHz array probe in contrast imaging mode following the bolus injection of agent during treatment, and at 2 and 24 hours post treatment. The contrast enhancement was quantified in ROIs encompassing either the periphery or center of the tumors. The results demonstrate the feasibility of producing transient reductions of flow in tumors lasting for less than 15 minutes and, with repeated exposures, the ability to induce sustained reductions in contrast enhancement in lasting for at least 24 hours. Both short and long term flow modifications have implications for the guidance and enhancement of microbubble potentiated local drug enhancement.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.094
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.004
GPT teacher head0.165
Teacher spread0.161 · 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

Citations24
Published2008
Admission routes1
Has abstractyes

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