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Record W4399126423 · doi:10.5772/intechopen.1005444

Periocular Hemangioma: Clinicopathological Aspects

2024· book-chapter· en· W4399126423 on OpenAlexaff
Hind M. Alkatan, Dalal Fatani, Hala A. Helmi, Rakan Alsaad, Rahaf Altwijri, Munirah Aldofyan

Bibliographic record

VenueIntechOpen eBooks · 2024
Typebook-chapter
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsMcGill University
Fundersnot available
KeywordsHemangiomaMedicineRadiology

Abstract

fetched live from OpenAlex

Hemangiomas are pathologically considered to be developmental hamartomatous lesions. In the periocular region, capillary hemangioma is commonly encountered in infants and children, and it is of particular importance because of its critical location if involving the eyelid with obstruction of the visual axis. In this chapter, we aim to briefly discuss the pathogenesis and etiology of such lesions, describe the histopathological features, and the diagnostic immunohistochemical stains used, with differentiating features between infantile hemangioma and capillary hemangioma in adults. In the periocular region, the clinical appearance and manifestations depend on three primary locations of the hemangioma: the superficial, subcutaneous, and deep orbital hemangiomas. Treatment options are similar to hemangioma elsewhere, however, as mentioned above, early treatment may be advocated to avoid developing amblyopia (lazy eye) because of visual deprivation or obstruction. The most used therapy in the periocular region is beta-blockers, either orally or locally. Intralesional steroids and sclerosing agents may also be used. Surgical intervention is reserved for deep orbital-selected lesions.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.032
GPT teacher head0.291
Teacher spread0.259 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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