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About a Rare Case of Low-Grade Chondrosarcoma of the Cranial Vault

2018· article· en· W2809292502 on OpenAlexvenueno aff
Leonello Tacconi, G. D’Acunzi, Camilla Russo, Andrea Manto, Ginevra Federica D’Onofrio, Raffaele Fristachi

Bibliographic record

VenueJournal of cancer research updates · 2018
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsChondrosarcomaCranial vaultMedicinePelvisMagnetic resonance imagingAdjuvant radiotherapyRadiologyRadiation therapyLesionSurgerySkull

Abstract

fetched live from OpenAlex

Chondrosarcoma is a rare malignant tumour arising from the cartilage with a high variability in the clinicalcourse and overall prognosis. This entity has, generally, a predilection for long bones of the limbs and pelvis and the location in the cranial bones is quite rare. We report a case of a 38 year male with a large and poorly symptomatic parafalcine chondrosarcoma of the cranial vault which was removed en bloc. The described location is extremely rare. Magnetic Resonance Imaging permitted to better delineate the lesion and plan the most appropriate therapeutic approach. Final diagnosis was based on histological examination, which confirmed the hypothesis of low-grade parafalcine chondrosarcoma. Even though surgery remains the mainstay of treatment for cerebral chondrosarcomas, adjuvant radiotherapy such as stereotactic, proton beam or carbon ion-beam therapy might be necessary in aggressive or incomplete removed cases.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.050
GPT teacher head0.432
Teacher spread0.382 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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