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Record W2313240457 · doi:10.1017/cjn.2014.89

Radiosurgery for recurrent glioblastoma multiforme: A single institution experience

2014· article· en· W2313240457 on OpenAlexaffvenue
Laurence Masson‐Côté, Annie Ébacher, V Hubert-Tremblay, David Fortin, David Mathieu

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2014
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsGlioblastomaRadiosurgeryMedicineRadiologyRadiation therapyCancer research

Abstract

fetched live from OpenAlex

Suppl 2 -S17 79 %.Median time to LR was 17 months (range= 1.5-24).First MRI analysis showed increased T1 and T2 GTV in 47 % of lesions.Of these, 47% ultimately developed LR.All patients with LR but one presented increased GTV at 3-6 months (median 28%, range= 1; 290%) associated with reduced T/S signal ratio (median -0.16, range= -0.04; -0.7).In patients with no LR at last follow up, 21% presented increased GTV (median 4%, range= 1; 57%) always associated with increased T/S ratio (median 0.7, range: 0.5; 1.34).Decreased GTV was observed in 79% of lesions with no LR (median -13%, range= -2; -55%).Conclusion: Early volume changes seem to correlate with subsequent local failure.Patients with what may be small increases in tumor volume on the first post-SBRT MRI should be followed more closely for LR.Early T2 signal changes do not appear to correlate with LC.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.044
GPT teacher head0.288
Teacher spread0.244 · 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 designObservational
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
Published2014
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques→Same topicGlioma Diagnosis and Treatment→French-language works237,207→