Change in presurgical diagnostic imaging evaluation affects subsequent pediatric epilepsy surgery outcome
Bibliographic record
Abstract
OBJECTIVE: Since 2008, we have changed our presurgical diagnostic imaging evaluation for medically refractory focal epilepsy to include high-resolution epilepsy protocol on 3 T magnetic resonance imaging (MRI), and combined magnetoencephalography and 18-fluorodeoxyglucose-positron emission tomography (FDG-PET) in selected patients with normal or subtle changes on MRI or discordant diagnostic tests. The aim of this study was to evaluate the effectiveness of the change in imaging practice on epilepsy surgery outcome in a tertiary pediatric epilepsy surgery center. METHODS: The change in practice occurred in early 2008, and patients were classified based on old or new practice. The patient characteristics, surgical variables, and seizure-free surgical outcome were compared, and the trend in seizure-free outcome over time was assessed. RESULTS: There was a trend for increased abnormal MRI (92% vs. 86%, respectively, p = 0.062), and increased utilization of FDG-PET (34% vs. 3% respectively, p < 0.001) with new relative to old practice. There were no statistically significant differences in invasive monitoring, location, and type of surgery and histology between the two periods (all p > 0.05). During the old practice, there was no statistically significant change in yearly trend of seizure-free outcome (odds ratio [OR] 0.960, 95% confidence interval [CI] 0.875-1.053, p = 0.386). The change in practice in 2008 was associated with a significant improvement in seizure-free outcome (OR 1.535, 95% CI 1.100-2.142, p = 0.012). During the new practice, there was a significant positive trend in yearly seizure-free outcome (OR 1.219, 95% CI 1.053-1.411, p = 0.008), after adjusting for age at seizure onset, invasive monitoring, location and type of surgery, histology, MRI, magnetoencephalography, and FDG-PET. SIGNIFICANCE: We have found an improvement in seizure-free surgical outcome following the change in imaging practice. This study highlights the importance of optimizing and improving presurgical diagnostic imaging evaluation to improve surgical outcome.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 teacher head, 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".