P.079 Brain Magnetic Resonance Imaging metallic susceptibility artifacts post cardiac surgery in children
Bibliographic record
Abstract
Background: Metallic susceptibility artifact (MSA) on brain MRI has been described rarely in adult population as an incidental finding in patients undergone cardiac surgery, catheterization or prosthetic heart valve, but has not been described before in the pediatric population. Here we present two pediatric cases with MSA on brain MRI post-cardiac surgery. Case Series:Patient1: 13-month-old girl with Transposition of great arteries, aortic coarctation and multiple VSDs, who twice had open heart surgery requiring cardiac bypass. She presented with bilateral lower extremity paralysis secondary to spinal cord embolic infarction, Brain MRI showed an incidental finding of hundreds of diffuse foci of brain MSA. Patient2: 5-year-old boy with Trisomy21, Atrial-ventricular septal defect repaired at age one year. His brain MRI showed incidental finding of multiple, widespread foci of MSA during investigation for gait disturbance. Discussion: Here we present two pediatric patients post-cardiac surgery, found to have multiple scattered MSA in cerebral and cerebellar hemispheres and brain stem. Presumably, these are secondary to metallic microthrombi during cardiac surgery, however, neither had prosthetic material. Metallic microthrombi may be related to cardio-pulmonary bypass. Pediatric cardiac surgery patients should be studied, to understand the significance of these lesions and further distinguish the cause and association of these findings.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".