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Record W4366704911 · doi:10.23880/ijsst-16000170

Malignant Transformation of Intracranial Epidermoid Cyst to Squamous Cell Carcinoma, Case Report and Literature Review

2022· article· en· W4366704911 on OpenAlexaff
Mohammad Faraji-Rad

Bibliographic record

VenueInternational Journal of Surgery & Surgical Techniques · 2022
Typearticle
Languageen
FieldMedicine
TopicTeratomas and Epidermoid Cysts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineEpidermoid cystMalignancyPathologicalMalignant transformationBasal cellEpidermoid carcinomaCerebellopontine angleRadiation therapyRadiologySurgeryPathologyMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Intracranial Epidermoid cysts (ECs) are rare, benign tumor of central nervous system that appears from maintain ectodermal implants. Malignant transformation of an EC to squamous-cell carcinoma (SCC) is rarely reported. Intracranial squamous cell carcinoma has known as a poor prognosis condition that optimal modalities remain uncertain. We present the case of 43-years old male complained 3 months severe headache and right eye hemianopia. Primary evaluation depicted right homogenous brain mass which was successfully totally removed. Pathological assessment found epidermoid cyst without any sign of malignancy. Six months later, patient was referred with episodes of intermittent headache and right eye blindness. After initial imaging, new tumor was growth in same site of frontal epidermoid cyst. Second surgery was performed and pathological report discloses to be a malignant SCC. SCC transformation was confirmed by two expert neuro- pathologists. The exact underlying mechanism causing malignant transformation is not definitely known and it seems SCC may have been transformed due to chronic inflammatory respond to epidermoid cyst. Literature reviews demonstrate that, although, optimal total resection in addition adjuvant radiotherapy is the recommended management of choice, patient’s general survival of this condition is generally poor and long-term follow-up is important.

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)0.002
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 score0.032
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.298
Teacher spread0.280 · 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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