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Record W2028291152 · doi:10.1097/rlu.0b013e31823ea47f

Sarcomatoid Carcinoma (Carcinosarcoma) of the Lung Mimics Malignant Pleural Mesothelioma on 18F-FDG PET/CT

2012· article· en· W2028291152 on OpenAlexaff
Anthony Ciarallo, William Makis, Javier-A. Novales-Diaz, Robert Lisbona

Bibliographic record

VenueClinical Nuclear Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicMetastasis and carcinoma case studies
Canadian institutionsBrandon Regional Health AuthorityMcGill University Health CentreRoyal Victoria Hospital
Fundersnot available
KeywordsMedicineCarcinosarcomaSarcomatoid carcinomaMesotheliomaSarcomaLungCarcinomaPathologyRadiologyStage (stratigraphy)Internal medicine

Abstract

fetched live from OpenAlex

Sarcomatoid carcinomas of the lung account for less than 0.4% of all lung tumors, and they are a heterogeneous group of non–small-cell lung carcinomas containing a sarcoma or sarcoma-like component. They have a poor prognosis, with an overall 5-year survival of 25% compared with 45% for other types of non–small-cell lung carcinomas. The literature on the use of 18F-FDG PET/CT to stage these tumors is very limited, and their PET/CT imaging characteristics have not been previously described. We report on 2 cases of sarcomatoid carcinoma that resembled malignant pleural mesothelioma on 18F-FDG PET/CT and were correctly staged.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.075
GPT teacher head0.354
Teacher spread0.279 · 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 teacher head, not a consensus.

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

Citations11
Published2012
Admission routes1
Has abstractyes

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