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Record W4399094794 · doi:10.5114/aoms/178184

Prenatal ultrasound reassessment of the corpus callosum based on cortical connectivity information

2024· article· en· W4399094794 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueArchives of Medical Science · 2024
Typearticle
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsnot available
FundersHospital for Sick Children
KeywordsCorpus callosumCortical neuronsPrenatal ultrasoundFunctional connectivityNeuroscienceComputer sciencePsychologyMedicinePrenatal diagnosisPregnancyBiologyFetus

Abstract

fetched live from OpenAlex

Introduction: Routine prenatal ultrasound assessment of the corpus callosum (CC) does not reflect information on fibrous connections. The primary purpose was to construct detailed reference ranges of quantitative characteristics of the foetal CC based on cortical connectivity information. Secondary goals were to examine for sex differences and assess the validity of the measurement technique for cases with CC dysplasia. Material and methods: Pregnant women referred to a tertiary centre for sonographic examination were recruited to undergo a detailed foetal scan from 19 to 40 weeks. The foetal CC was divided into 5 distinct segments using the Hofer & Frahm classification technique. The thickness of each segment and the overall length of the CC were measured. Additionally, a segmental evaluation was conducted on partial agenesis of the CC. The inter- and intraobserver variability were assessed by interclass correlation coefficients. Regression analysis was used to determine the association between the biological measurements and gestational age. Results: A total of 852 foetuses (403 males and 449 females) were included in the final analysis. Intra- and interobserver reliability coefficients ranged from 0.86 to 0.98 and 0.84 to 0.97, respectively. Reference ranges were established for the thickness and length of its segments. We observed that the biometric measurements of the foetal CC showed a curvilinear increase with gestational age. There was a statistically significant sex effect for the CC. At the average gestation age 29.6 weeks, the genu, anterior midbody, posterior midbody, and isthmus of male foetuses were 0.06280 mm, 0.04435 mm, 0.01731 mm, and 0.01556 mm, respectively, thicker than those of female foetuses, whereas the splenium of the female foetus was 0.06583 mm thicker than the male foetus. Conclusions: The study uncovers distinct patterns of thickness and length growth in the foetal CC and establishes precise reference ranges. These findings can aid in evaluating normal brain development and conducting comprehensive assessments of CC abnormalities.

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.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.740
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.011
GPT teacher head0.282
Teacher spread0.271 · 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