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Record W2614162365 · doi:10.14791/btrt.2017.5.1.24

Fourth Ventricular Lesions in Metastatic Gliomas: A Rare Predilection?

2017· article· en· W2614162365 on OpenAlexaff
Mohammed Nazir Khan, Ariane Poulin, Marco Essig

Bibliographic record

VenueBrain Tumor Research and Treatment · 2017
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversité LavalUniversity of Manitoba
Fundersnot available
KeywordsMedicineLesionGliomaFourth ventricleVentricleThird ventricleRadiologyMetastatic lesionPathologyMetastasisInternal medicineCancer

Abstract

fetched live from OpenAlex

Over the course of five years, a total of ten cases were collected of glioma patients in whom a distant lesion at the fourth ventricle was noted. A 'distant lesion' was defined as a lesion with a normal appearing tissue bridge at imaging between the primary and secondary locations. Previous imaging of these patients was reviewed along with clinical history, course of therapy, and available histology. A review of the literature was performed with respect to present knowledge on patterns of glioma proliferation and dissemination. This case series is the first to describe the fourth ventricle as a location that may be prone to secondary lesions in glioma patients. Further investigation on this subject may yield deeper insights into the mechanisms by which glial tumors spread within the brain, with the hope of developing or improving therapeutic targets.

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)0.003
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.098
GPT teacher head0.398
Teacher spread0.300 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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