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Record W1502394490 · doi:10.1159/000331179

Whole-Brain Radiation Therapy of Brain Metastasis

2012· review· en· W1502394490 on OpenAlexaff
Arjun Sahgal, Hany Soliman, David A. Larson

Bibliographic record

VenueProgress in neurological surgery · 2012
Typereview
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineNeurocognitiveRadiation therapyBrain metastasisWhole brain radiotherapyIntensive care medicineSurgeryMetastasisCancerInternal medicineCognition

Abstract

fetched live from OpenAlex

The purpose of this report was to review the role of whole brain radiotherapy (WBRT) in the management of brain metastases. In particular, we review the role of WBRT as a prophylactic therapy, and the role of surgery and stereotactic radiousurgery (SRS) with respect to WBRT, by discussing the relevant randomized controlled trials. WBRT is associated with toxicities and this may influence the decision to use WBRT and, therefore, we review both the acute side effects of WBRT and the more serious late side effects of neurocognitive impairment and leukoencephalopathy. As patients are living longer with brain metastases the role of WBRT is moving forward; however, using modern radiation technology we may be able to reduce the morbidity of this therapy. We present an extreme case of re-re-treatment WBRT with hippocampal sparing and simultaneous integrated boosts to multiple lesions as one of the future directions under evaluation.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.152
GPT teacher head0.382
Teacher spread0.230 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations21
Published2012
Admission routes1
Has abstractyes

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