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Record W4308881923 · doi:10.1136/bcr-2022-250862

Radiation management of a late thoracic metastasis from an intracranial solitary fibrous tumour

2022· article· en· W4308881923 on OpenAlexaff
Arjun Patel, David A. Palma, Nikhil Sangle, Sondos Zayed

Bibliographic record

VenueBMJ Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineHistopathologyRadiation therapySarcomaSolitary fibrous tumorSoft tissue sarcomaMetastasisSoft tissueSurgeryRadiologyCancerGeneral surgeryPathologyCD34Internal medicine

Abstract

fetched live from OpenAlex

Solitary fibrous tumours (SFTs) are a rare soft tissue sarcoma. We present a case of a male patient with an SFT of the right posterior fossa, with a late metastasis to the right lung and chest wall identified 18 years later.A small number of late metastases of SFTs have previously been reported. Metastases are typically managed surgically, although there is limited evidence suggesting that radiotherapy may be effective for primary SFTs.In this case, the patient declined treatment for his metastasised cancer for 5 years. He then only agreed to radiation treatment without surgery, which uniquely resulted in excellent symptom relief and durable local control. This case illustrates the importance of further research on the role of radiation in managing SFTs, the value of long-term follow-up and the necessity of exploring barriers to care.This case also highlights issues regarding barriers to care related to late diagnoses of recurrence in rare tumours. In this case, at the time of recurrence the original tissue blocks were not available for review. The patient had moved to a different province where his former records were not easily accessible, and the original tissue blocks had been discarded. In that jurisdiction, laboratories must keep cytology slides for 5 years, histopathology slides for 10 years and paraffin blocks for 2 years. This contributed to a misdiagnosis of the recurrence as an Ewing sarcoma, resulting in the patient initially declining treatment at the time of disease recurrence, and leading to a long-standing mistrust of his physicians which impacted his decision-making.

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)0.001
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.027
GPT teacher head0.345
Teacher spread0.318 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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