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Record W2046250833 · doi:10.1097/rlu.0b013e3181d62728

Cardiac T-Cell Lymphoma Imaged With F-18 FDG PET-CT and Correlative Imaging

2010· article· en· W2046250833 on OpenAlexaff
William Makis, Javier-A. Novales-Diaz, Robert Lisbona

Bibliographic record

VenueClinical Nuclear Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsMcGill UniversityInstitut universitaire en santé mentale de MontréalRoyal Victoria Hospital
Fundersnot available
KeywordsMedicineVentricleLymphomaMagnetic resonance imagingRadiologyNuclear medicineCardiac imagingBiopsyPathologyInternal medicine

Abstract

fetched live from OpenAlex

Primary cardiac tumors are rare, and of these, primary cardiac lymphomas account for less than 1%. Most are B-cell non-Hodgkin lymphomas, and the right atrium and right ventricle are the most frequently involved sites. The clinical presentation varies, but commonly involves pericardial effusions, AV block, valvular dysfunction, or heart failure. We present a 72-year-old man who was referred for an F-18 FDG PET-CT scan to evaluate a cardiac mass. An intensely hypermetabolic mass was observed replacing most of the right ventricle, which was confirmed with a contrast-enhanced CT as well as magnetic resonance imaging. Endomyocardial biopsy revealed a low-grade T-cell lymphoma. This is a rare report of a cardiac T-cell lymphoma imaged with F-18 FDG PET-CT.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.311
Teacher spread0.296 · 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

Citations6
Published2010
Admission routes1
Has abstractyes

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