Magnetic resonance imaging (MRI) findings among children with fetal alcohol syndrome (FAS), partial fetal alcohol syndrome (pFAS) and alcohol related neurodevelopmental disorders (ARND).
Bibliographic record
Abstract
Background: The aim of the study was to analyze the findings in MRI (magnetic resonance imaging) of the brain amongst children diagnosed with fetal alcohol syndrome (FAS), partial fetal alcohol syndrome (pFAS) or alcohol related neurodevelopmental disorders (ARND). The issue has been studied in several researches previously but the experts agree that there is still few data on the MRI results in the group of younger children. Material and Methods: MRI results of 121 patients with either FAS or pFAS or ARND diagnosed with Canadian criteria were analyzed regarding the presence of abnormalities. The group consisted of 71 patients diagnosed with FAS, 33 diagnosed with pFAS and 17 diagnosed with ARND. The mean age of the patients was 8.03 years (standard deviation 4.07). Results: In the total group of FASD patients 61.98% of the patients’ MRI results were abnormal. The most common abnormality in MRI of the patients were demyelination plaques (incidence 23.1%) and corpus callosum narrowing (20.7%) as well as ventricular asymmetry (18.8%).The demyelination plaques and corpus callosum narrowing were more frequent among children ≤4 years old (41.7% vs 18.6%; p=0.016 and 50.0% vs.13.4%; p<0.001, respectively). Age ≤4 years predicted the presence of demyelination plaques and corpus callosum narrowing independently of FAS diagnosis. Among younger children, multiple central nervous system abnormalities were observed more often than in the older age group (54.2% vs. 14.4%; p<0.001). Odds ratio for multiple changes was 0.84 per one-year increase in age (95% CI 0.73-0.97), p=0.016. Furthermore, in the analysis according to the specific diagnosis, among the patients diagnosed with FAS, multiple anomalies were more common than in pFAS and ARND. Both age ≤4 years and FAS diagnosis were independent predictors for multiple anomalies in multiple logistic regression. Conclusion: In structural brain MRI of younger children, multiple anomalies were found more frequently than among older children. Demyelination plaques and corpus callosum narrowing were more common in younger FASD patients than in older ones.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".