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Record W2989078280 · doi:10.1093/neuonc/noz175.1023

SURG-23. INTRAPARENCHYMAL MUCOSA-ASSOCIATED LYMPHOID TISSUE (MALT) LYMPHOMA: A NOVEL DISEASE PRESENTATION

2019· article· en· W2989078280 on OpenAlexaff
Mostafa Fatehi, Charles S. Haw

Bibliographic record

VenueNeuro-Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicCNS Lymphoma Diagnosis and Treatment
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsMedicineLymphatic systemMALT lymphomaLymphomaLesionPathologyPresentation (obstetrics)Mucosa-associated lymphoid tissueMeningiomaParenchymaRadiology

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION Low grade B-cell lymphomas arising from the marginal zone of secondary lymphatic follicles constitute less than 10% of lymphomas. This condition was initially described in the stomach and the nasopharynx. However, there have been several reports of isolated dural-based intracranial lesions. METHODS A review of the literature using the EMBASE and MEDLINE databases yielded 12 previous cases of dural MALT lymphomas but none that were entirely intra-parenchymal. RESULTS Here, we present the case of a 67 year male who was found to have a convexity meningioma; and another, intra-parenchymal, lesion with radiologic features consistent with a low grade glial tumor. Upon resection of both lesions, the intra-axial tumor was found to be a mucosa-associated lymphoid tissue lymphoma. He has subsequently been referred for initiation of needing adjuvant therapies. CONCLUSIONS In addition to posing challenges for radiologic diagnosis, this case presents questions regarding the oncologic management of MALT lesions in the brain.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.020
GPT teacher head0.302
Teacher spread0.282 · 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 designCase report
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
Published2019
Admission routes1
Has abstractyes

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