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Record W2153904508 · doi:10.5539/gjhs.v5n3p195

Differential Diagnoses of Cerebral Hemiatrophy in Childhood: A Review of Literature with Illustrative Report of Two Cases

2013· review· en· W2153904508 on OpenAlexvenueno aff
Felix Uduma Uduma, Jude-Kennedy C Emejulu, Mathieu Motah, Philip Chinedu Okere, Pierre Ongolo, W.F.T. Muna

Bibliographic record

VenueGlobal Journal of Health Science · 2013
Typereview
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCerebral atrophySkullAtrophyDifferential diagnosisThickeningPediatricsRadiologySurgeryPathology

Abstract

fetched live from OpenAlex

Childhood cerebral hemiatrophy is an uncommon clinical entity. Its aetiologies are diverse but can generally be grouped into congenital and acquired. The congenital type is intrauterine in origin while the acquired type occurs early in life, usually before two year of life. When childhood cerebral hemiatrophy occurs, it evokes a spectrum of compensatory calvarial sequlae. These include ipsilateral calvarial thickening, diploe widening, hyper-pneumatization of paranasal sinues/ mastoids, elevation of petrous bone and small middle cranial fossa. MRI is very effective in high lightening brain atrophy, associated parenchymal changes and even the above enumerated skull changes. Our two case reports of left hemi-cerebral atrophy in male Cameroonian children seen in our MRI practice aptly demonstrated some of the aforementioned radiological features of childhood cerebral hemiatrophy noted in literature review.

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: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.377
Teacher spread0.342 · 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
GenreReview

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

Citations28
Published2013
Admission routes1
Has abstractyes

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Same venueGlobal Journal of Health ScienceSame topicFetal and Pediatric Neurological DisordersFrench-language works237,207