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Record W2168653444 · doi:10.1109/tbme.2006.889773

Drug Uptake Enhancement Using Sonodynamic Effects at 4 MHz—A Potential Application for Micro-Ultrasonic-Transducers

2007· article· en· W2168653444 on OpenAlexaff
Tung Siu, John R. Jackson, Helen M. Burt, Mu Chiao

Bibliographic record

VenueIEEE Transactions on Biomedical Engineering · 2007
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSonodynamic therapyTransducerUltrasonic sensorMaterials scienceUltrasonic imagingAcousticsBiomedical engineeringUltrasoundComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

Sonodynamic therapy is a cancer treatment method that uses macro scale ultrasound devices to enhance the cytotoxic efficacy of anticancer drugs, such as doxorubicin [1]. In this paper, unconventional, miniature ultrasound transducers (5 mm x 5 mm x 0.5 mm) were used to create a tone-burst ultrasound (4 MHz, 32 Watt/cm(2), 20% duty cycle, 50 ms burst period). It was found that the transducer significantly (p < 0.01) enhanced the immediate cells lysis when combining with doxorubicin (20 microM) in human prostate cancer cells (PC3). With a 30-s ultrasound exposure, the immediate cell lysis and long-term cytotoxicity were enhanced by 70% and 83%, respectively, compared to controls. We have demonstrated that ultrasound in combination with doxorubicin could strongly inhibit tumour cell proliferation in vitro at lower doses of the drug. This work is a first step towards a microelectromechanical system (MEMS)-based, implantable micro-ultrasonic transducers (MUTs) that could be used in sonodynamic therapy.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.005
GPT teacher head0.213
Teacher spread0.208 · 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

Citations25
Published2007
Admission routes1
Has abstractyes

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