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Record W4393226000 · doi:10.1177/27325016241241782

Infantile Myofibroma of the Frontal Bone: A Case Report

2024· article· en· W4393226000 on OpenAlexaff
Khalifa Al Alawi, Ruqaya Al Abri, Sultan Al Shaqsi, Jehad Al Habsi, Ahmed Al Azri, Taimoor Al Balushi

Bibliographic record

VenueFACE · 2024
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFrontal boneMedicineAnatomySkull

Abstract

fetched live from OpenAlex

Background: Infantile myofibroma stands as the most prevalent fibrous neoplasm within the pediatric population, despite its rarity. The majority of these tumors manifest within the initial 2 years of life. Clinically, myofibroma lesions are classified into solitary and multicentric tumors. Methods: We present a case of infantile myofibroma located within the frontal bone of a 16-month-old infant. Initial evaluation of the swelling and its spread was conducted using CT and MRI scans. Subsequently, the diagnosis was confirmed through a core needle biopsy. Results: The tumor underwent surgical excision with 1 cm safety margin and immediate reconstruction with strips of calvaria bone graft. Histopathology of the specimen showed complete tumor clearance with actual margin of 7 mm. Conclusion: The surgical resection of cranial benign bone tumors should be meticulously planned with a multidisciplinary approach. Wherever possible, immediate reconstruction should be conducted to avoid the morbidity of a subsequent procedure.

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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.288
Teacher spread0.276 · 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
Published2024
Admission routes1
Has abstractyes

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