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Record W2019918888 · doi:10.1118/1.3613397

WE‐E‐220‐02: Ultrasound and Microbubble Enhancement of Radiation Response in Tumours

2011· article· en· W2019918888 on OpenAlexaff
Gregory J. Czarnota

Bibliographic record

VenueMedical Physics · 2011
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMicrobubblesIn vivoUltrasoundMedicineRadiation therapyEx vivoApoptosisCancer researchPathologyNuclear medicineChemistryBiologyInternal medicineRadiology

Abstract

fetched live from OpenAlex

Purpose: It is now appreciated that radiation not only damages the DNA inside tumour cells in vivo but may act by damaging the endothelial cells of the vasculature. In this study we tested the hypothesis that microbubble agents in vivo may be used apriori to cause endothelial cell perturbations thus causing “radiosensitization” of tumours. Materials and Methods: Human prostate cancer xenograft‐bearing mice (120 animals) were exposed to combinations of ultrasound (570kPa peak negative pressure with a 3kHz pulse repetition frequency for 750 milliseconds over 5 minutes), activated‐microbubbles (Definity) alone and in the presence of ultrasound at various concentrations, and radiation (160 kVp) (8 animals per group) at doses of 0, 2 and 8 Gy. In order to optimize treatments, studies undertaking the timing of the ultrasound and radiation treatments were carried out (40 animals) by introducing a time‐gap between ultrasound and radiation treatments ranging from 0 to 24 hours. In another cohort of animals (n=60) insonifying pressure and radiation dose were varied to investigate the effects of these parameters on treatment effect. In order to further demonstrate the efficacy of this type of combination treatment, multiple treatments combining radiation and ultrasound were also administered to tumour bearing mice over 3–4 weeks (40 animals). Treatment effects were monitored using staining of representative tumour sections with immunohistochemistry, clonogenic assays and growth delay studies. Results: Analyses indicated a synergistic increase in tumour cell kill due to vascular disruption caused by the combined therapies leading to endothelial cell apoptosis through the activation of the ceramide cell‐death pathway caused by microbubbles. The optimal time for combining the two treatments in order to maximize treatment synergy varied with radiation dose and appeared to be within 6 hours. Effects varied with radiation dose and insonifying ultrasound pressure. Multiple treatments indicated better therapeutic outcome compared to single treatments and caused tumour regression. Analyses indicated activation of ceramide‐mediated apoptotic cell death in endothelial cells leading to vascular disruption in tumours. Conclusions: This work forms the basis for ultrasound‐induced spatial targeting of radiotherapy enhancement. Results indicated a greater than 50‐fold increase in tumour cell death. This type of combination treatment has the potential to increase the efficacy of radiation and should permit lower radiation doses to be used with the same treatment effect as high doses of radiation when administered alone.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.218
Teacher spread0.206 · 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 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
Published2011
Admission routes1
Has abstractyes

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