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Record W1992176533 · doi:10.3171/2011.10.focus11252

Focused ultrasound disruption of the blood-brain barrier: a new frontier for therapeutic delivery in molecular neurooncology

2011· review· en· W1992176533 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNeurosurgical FOCUS · 2011
Typereview
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreHospital for Sick Children
FundersNational Institute of Biomedical Imaging and BioengineeringCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchBrain Tumour Foundation of CanadaNational Institutes of HealthBrigham and Women's Hospital
KeywordsNeurooncologyFocused ultrasoundMedicineBlood–brain barrierNeuroscienceBioinformaticsPathologyUltrasoundInternal medicineCentral nervous systemPsychologyBiologyRadiology

Abstract

fetched live from OpenAlex

Recent advances in molecular neurooncology provide unique opportunities for targeted molecular-based therapies. However, the blood-brain barrier (BBB) remains a major limitation to the delivery of tumor-specific therapies directed against aberrant signaling pathways in brain tumors. Given the dismal prognosis of patients with malignant brain tumors, novel strategies that overcome the intrinsic limitations of the BBB are therefore highly desirable. Focused ultrasound BBB disruption is emerging as a novel strategy for enhanced delivery of therapeutic agents into the brain via focal, reversible, and safe BBB disruption. This review examines the potential role and implications of focused ultrasound in molecular neurooncology.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.262
Teacher spread0.234 · 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