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Record W4390636733 · doi:10.1007/s44162-024-00027-0

Neuropathologic findings in a patient with Parry-Romberg syndrome: active cerebral vasculitis and brain injury

2024· article· en· W4390636733 on OpenAlexaff
Edina A. Wappler-Guzzetta, Brian W. Hanak, Firas Bannout, Sheri Harder, Jeremy Deisch

Bibliographic record

VenueJournal of Rare Diseases · 2024
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and genetic disorders
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicineMeningesGliosisVasculitisPathologyEtiologyEpilepsyIschemiaDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Abstract Purpose Parry-Romberg syndrome (PRS) is a rare disorder characterized by slowly progressive hemifacial atrophy. Although the underlying etiology is unknown, proposed disease mechanisms which include autoimmune, infection, trauma, and other causes have been proposed as underlying disease mechanisms. Approximately, 10–20% of PRS patients have neurologic manifestations such as epilepsy, headaches, or associated vascular malformations. There are reports of PRS responsive to immunosuppressive medications, supporting the autoimmune hypothesis. Currently, the neuropathologic findings in patients with PRS are not well documented. Methods Herein, we present a case of a 19-year-old female with PRS, who underwent partial frontal lobectomy for intractable epilepsy. Results The resection specimen showed multifocal active lymphocytic (T-cell mediated) arteritis in midsized cortical arterioles, with the adjacent meninges showing fibrosis involving both the meningeal tissue and its vascular network. In addition, neuronal loss and gliosis were evident in the cortex, likely due to the associated vascular injury. Conclusions This report is the first to demonstrate active cerebral vasculitis in a patient with PRS, supporting the previous suspicion of inflammatory etiology in this disease. In addition, the widespread vascular fibrosis in the meningeal vessels and an area of cortical ischemia support the presence of previous inflammatory vascular processes in the area.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.399

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 head0.005
GPT teacher head0.235
Teacher spread0.230 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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