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Record W2063366432 · doi:10.4103/0972-2327.91964

A case of leukoencephalopathy, cerebral calcifications and cysts

2011· article· en· W2063366432 on OpenAlexaff
Ajay Gulati, Paramjeet Singh, Subramaniyan Ramanathan, N Khandelwal

Bibliographic record

VenueAnnals of Indian Academy of Neurology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineLeukoencephalopathyDifferential diagnosisHyperintensityCalcificationPathologyBasal gangliaWhite matterRadiologyMagnetic resonance imagingDiseaseCentral nervous systemInternal medicine

Abstract

fetched live from OpenAlex

Triad of leukoencephalopathy, cerebral calcifications and cysts (LCC) is a recently reported rare disease named 'Labrune syndrome' after the first case was reported in 1996 by Labrune et al. Herein, we report a case of a 36-year-old man with mild right-sided weakness and seizures for 5 years. CT of brain revealed extensive calcification involving bilateral basal ganglia, right thalamus and bilateral deep cerebellar nuclei. A supratentorial cystic lesion with blood fluid level was seen in left occipitotemporal region. MRI examination revealed diffuse symmetric white matter hyperintensity suggesting leukoencephalopathy. On follow-up, patient reported improvement in the weakness and no further seizure episodes. However, follow-up of MRI revealed persistence of lesions. Differential diagnosis considered were parasitic infections (hydatid, cysticercosis), Coat's plus disease and causes of diffuse cerebral calcification like Fahr's disease and post-radiotherapy/chemotherapy. Serology for parasitic infections was negative. No history of radiotherapy or chemotherapy in the past could be elicited in the history. Another close differential is Coat's plus disease which can mimic LCC pathologically.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.317

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 head0.074
GPT teacher head0.317
Teacher spread0.243 · 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 designBench or experimental
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

Citations21
Published2011
Admission routes1
Has abstractyes

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