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Record W1979484829 · doi:10.1080/02656730210139609

An edge-element based finite element model of microwave heating in hyperthermia: application to a bolus design

2002· article· en· W1979484829 on OpenAlexaff
J. Carl Kumaradas, M.D. Sherar

Bibliographic record

VenueInternational Journal of Hyperthermia · 2002
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsBolus (digestion)MicrowaveMicrowave heatingMaterials scienceFinite element methodHeating elementBeam (structure)Biomedical engineeringOpticsComposite materialSurgeryMedicineComputer sciencePhysicsStructural engineeringEngineering

Abstract

fetched live from OpenAlex

Heating of superficial tumours with microwave waveguide applicators has been shown in phase III trials to significantly improve the local control of small lesions when combined with radiation therapy. This success has not yet translated to the treatment of larger tumours, due to difficulty in adequately heating the entire tumour region. Several modifications to the water bolus used with external waveguide applicators have been made in the past in order to increase the heating area. One such modification consisted of a large, microwave-absorbing patch placed inside the bolus, which flattens out the beam profile produced by the applicator. Using this bolus instead of a conventional one resulted in a 30% increase in the effective heating volume produced by the BSD MA120 applicator. This paper describes an optimization procedure for this bolus design which utilises a new finite element model of microwave heating described in an accompanying paper. The optimization procedure resulted in a further 28% increase in the effective heating volume.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.638
Threshold uncertainty score0.775

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 science0.0010.000
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 head0.023
GPT teacher head0.247
Teacher spread0.223 · 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 designSimulation or modeling
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

Citations7
Published2002
Admission routes1
Has abstractyes

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