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Record W2110830676 · doi:10.5430/jst.v2n3p63

Malignant transformation of cervical ostochondroma in patient with hereditary multiple exostoses (HME): Case report and review of the literature

2012· article· en· W2110830676 on OpenAlexvenueno aff
Alessandro Landi

Bibliographic record

VenueJournal of Solid Tumors · 2012
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMalignant transformationLesionRadiation therapyRadical surgerySurgeryAdjuvant radiotherapyOsteochondromaRadiologyHereditary multiple exostosesPathologyCancerInternal medicine

Abstract

fetched live from OpenAlex

Objectives: Hereditary multiple exosostes (HME) is a disorder characterized by the presence of multiple osteochondromas of the bone. Spinal involvement is rare, represent roughly 3% of cases and any portion of the vertebral body may be affected. Malignant transformation of the lesions is rare, but it is possible and is described in literature. Methods: W e describe an unusual case of malignant transformation of a cervical osteochondromas arising from the articular complex, in a young girl affected by HME. The patient underwent surgery with a complete removal of the lesion, without any signs of recurrence seen at the MRI serial control at 3, 6 12 e 24 months. We analyzed the literature up to 2009 by focusing on the treatment and follow up. Results: Surgical removal is indicated for symptomatic spinal osteochondormas. The suspicion of malignant transformation is indicated by the sudden growth of the lesion after puberty, the presence of pain and the worsening of the neurological symptoms. Conclusion s : In this case, radical surgery is imperative, given the close correlation with the malignant characteristics of the lesions, it is useful to have an extemporaneous histological examination. In the rare cases of malignant transformation, radical surgery is important for the prognosis and to prevent the progression of the lesions. If the complete removal is not possible, the therapy of choice is adjuvant radiotherapy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.217

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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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