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Record W4283728034 · doi:10.3174/ajnr.a7555

Brain Abnormalities in Patients with Germline Variants in<i>H3F3</i>: Novel Imaging Findings and Neurologic Symptoms Beyond Somatic Variants and Brain Tumors

2022· article· en· W4283728034 on OpenAlexaff
Cesar Alves, Omar Sherbini, Felice D’Arco, Dora Steel, Manju A. Kurian, Francesca Clementina Radio, Giovanni Battista Ferrero, Diana Carli, Marco Tartaglia, Tuğçe B. Balcı, Nina Powell‐Hamilton, Samantha A. Schrier Vergano, Heiko Reutter, Julia Hoefele, Roman Günthner, Elizabeth Roeder, Rebecca O. Littlejohn, Davor Lessel, Sabine Lüttgen, C. Kentros, Kwame Anyane‐Yeboa, Claudia B. Catarino, Saadet Mercimek‐Andrews, Jonas Denecke, Michael J. Lyons, Thomas Klopstock, Elizabeth Bhoj, Laura Bryant, Adeline Vanderver

Bibliographic record

VenueAmerican Journal of Neuroradiology · 2022
Typearticle
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsHospital for Sick ChildrenUniversity of AlbertaLondon Health Sciences CentreWestern University
FundersNational Institute of Neurological Disorders and StrokeRosetrees TrustNational Institute for Health and Care Research
KeywordsMedicineCorpus callosumMacrocephalyMedical geneticsGermlineSpleniumPathologyMagnetic resonance imagingGeneticsBiologyWhite matterRadiology

Abstract

fetched live from OpenAlex

<h3>BACKGROUND AND PURPOSE:</h3> Pathogenic somatic variants affecting the genes <i>Histone 3 Family 3A and 3B</i> (<i>H3F3</i>) are extensively linked to the process of oncogenesis, in particular related to central nervous system tumors in children. Recently, <i>H3F3</i> germline missense variants were described as the cause of a novel pediatric neurodevelopmental disorder. We aimed to investigate patterns of brain MR imaging of individuals carrying <i>H3F3</i> germline variants. <h3>MATERIALS AND METHODS:</h3> In this retrospective study, we included individuals with proved <i>H3F3</i> causative genetic variants and available brain MR imaging scans. Clinical and demographic data were retrieved from available medical records. Molecular genetic testing results were classified using the American College of Medical Genetics criteria for variant curation. Brain MR imaging abnormalities were analyzed according to their location, signal intensity, and associated clinical symptoms. Numeric variables were described according to their distribution, with median and interquartile range. <h3>RESULTS:</h3> Eighteen individuals (10 males, 56%) with <i>H3F3</i> germline variants were included. Thirteen of 18 individuals (72%) presented with a small posterior fossa. Six individuals (33%) presented with reduced size and an internal rotational appearance of the heads of the caudate nuclei along with an enlarged and squared appearance of the frontal horns of the lateral ventricles. Five individuals (28%) presented with dysgenesis of the splenium of the corpus callosum. Cortical developmental abnormalities were noted in 8 individuals (44%), with dysgyria and hypoplastic temporal poles being the most frequent presentation. <h3>CONCLUSIONS:</h3> Imaging phenotypes in germline <i>H3F3-</i>affected individuals are related to brain features, including a small posterior fossa as well as dysgenesis of the corpus callosum, cortical developmental abnormalities, and deformity of lateral ventricles.

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 score0.014
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.207
Teacher spread0.202 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

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