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Record W2020772280 · doi:10.3941/jrcr.v8i4.1700

Cardiac metastases of melanoma as first manifestation of the disease

2014· article· en· W2020772280 on OpenAlexaff
Adriana Dolores Maria Villa, Esmeralda Eshja, Silvia Dallavalle, Emilio Maria Bassi, Annalisa Turco

Bibliographic record

VenueJournal of Radiology Case Reports · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsMedicineMelanomaRadiologyCardiac magnetic resonancePericardiumMagnetic resonance imagingMetastasisDiseaseCardiologyInternal medicineCancer

Abstract

fetched live from OpenAlex

Cardiac metastases are rare, but more common than primary cardiac tumours, and metastatic melanoma involves heart or pericardium in greater than 50% of the cases, although cardiac metastasis are rarely diagnosed ante mortem because of the lack of symptoms. A multimodality approach may help to obtain a more timely diagnosis and in some cases a quicker and better diagnosis can enable a surgical resection to prevent cardiac failure or to reduce the tumour before chemotherapy. We present a case of a patient with cardiac metastasis as first evidence of a malignant melanoma: in this case the patient underwent echocardiography, cardiac magnetic resonance and computed tomography. This case underlines the importance of advanced diagnostic techniques, such as cardiac magnetic resonance, not only for the detection of cardiac masses, but also for a better anatomic definition and tissue characterization, to enable a quick and accurate diagnosis which can be followed by appropriate treatment.

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)0.002
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.008
GPT teacher head0.253
Teacher spread0.246 · 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

Citations14
Published2014
Admission routes1
Has abstractyes

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Same venueJournal of Radiology Case ReportsSame topicCardiac tumors and thrombiFrench-language works237,207