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Record W2890668257 · doi:10.1093/neuonc/noy139.090

P01.048 A novel transducer array layout for delivering Tumor Treating Fields to the infratentorial brain at therapeutic levels

2018· article· en· W2890668257 on OpenAlexaboutno aff
Zéev Bomzon, Ariel Naveh, Steven Levy, Eilon D. Kirson, Uri Weinberg

Bibliographic record

VenueNeuro-Oncology · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsTransducerComputer scienceMedicineBiomedical engineeringAcousticsPhysics

Abstract

fetched live from OpenAlex

Tumor Treating Fields (TTFields) is an antimitotic cancer treatment that utilizes low intensity (1–3 V/cm) alternating electric fields in the intermediate frequency (100–300 kHz), approvedfor the treatment of Glioblastoma Multiforme (GBM) located in the supratentorial regions of the brain. A clinical trial testing the efficacy of TTFields for treating brain metastases is currently underway (METIS, NCT02831959). TTFields are delivered via two pairs of transducer arrays placed on the patient’s skin in proximity to the tumor. The standard array layouts used to deliver TTFields involve placement of the arrays on the supratentorial regions of the head. Using these layouts, therapeutic field intensities above 1 V/cm are achieved within the surpatentorial brain. However, field intensities in the infratenorium fall to sub-therapeutic levels. . Brain metastases commonly occur in the infratentorium. In addition, infratentorial tumors are common in the pediatric population. Hence, there is a need to for array layouts that can be used to deliver TTFields effectively to the infratentorial brain. Here we present a new array layout designed to deliver high field intensities to the infratentorial brain. To simulate delivery of TTFields to the brain, realistic computerized head models of an adult human female and an adult human male were used. Virtual transducer arrays were placed on the models, and boundary conditions were set to simulate delivery of TTFields at 200 kHz. Various array layouts were tested, and field distributions resulting from the layouts were evaluated. In both models, TTfields was delivered to the infratentorium most effectively with a layout, in which each array of one pair was laterally placed superficially to the lower region of the occipital lobe, and the two arrays of the second pair were placed on the calvarium and the superior aspect of the neck. In both models, the pair of arrays in which one array was placed on the calvarium and one array on the superior aspect of the neck delivered field intensities above 1.1 V/cm to over 95% of the volume of the infratentorial brain, and the pair of arrays placed on the lateral aspects of the occipital lobe delivered field intensities above 1 V/cm to over 95% of the infratentorial brain. Both pairs of arrays delivered field intensities above 1 V/cm to significant portions of the supratentorial brain. This work suggests a practical approach for delivering TTFields to the cerebellum, brain-stem and surrounding regions which are located inferior to the tentorium.

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)0.001
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 score0.200
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.080
GPT teacher head0.330
Teacher spread0.250 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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