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Record W4408082865 · doi:10.7759/cureus.79903

Pericardial Oligometastasis From Merkel Cell Carcinoma Treated With Stereotactic Ablative Radiotherapy

2025· article· en· W4408082865 on OpenAlexaff
Jose Miguel Callueng, Islam Mohamed, Dante D'Urbano, Benjamin Mou

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsKelowna General Hospital
Fundersnot available
KeywordsMedicineAblative caseMerkel cell carcinomaRadiation therapyRadiologyOncologyInternal medicineCarcinoma

Abstract

fetched live from OpenAlex

Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine skin cancer that often has a poor prognosis due to its propensity for distant metastases. A 74-year-old man with a history of MCC of the left forearm, previously treated with surgery and adjuvant radiotherapy, was found to have an asymptomatic pericardial nodule associated with pericardial effusion on routine follow-up imaging. Subsequent biopsy confirmed metastatic MCC. Restaging demonstrated no other sites of metastases. The pericardial metastasis was treated with stereotactic ablative radiotherapy (SABR) to a dose of 40 Gray (Gy) in five daily fractions. A significant decrease in the size of the pericardial nodule was observed 2.3 months post-SABR, and a clinical complete response was achieved 8.9 months post-SABR. Apart from an asymptomatic mildly increased pericardial effusion, no other acute or late adverse effects were observed. At 40.1 months post-SABR, the patient continued to show a durable response to treatment with no evidence of recurrence. To the best of our knowledge, this case of pericardial oligometastases from MCC treated with SABR is the longest reported duration of response.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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