Selective amygdalohippocampectomy: surgical outcome in children versus adults.
Bibliographic record
Abstract
INTRODUCTION: The objective of the study was to review our experience with selective amygdalohippocampectomy (SAH) in children and adults with intractable temporal lobe epilepsy. METHODS: A retrospective case series was used in the setting of a tertiary care hospital which provides epilepsy care to both children and adults. All patients underwent a selective amygdalohippocampectomy procedure and had at least one year of follow-up. Adults and children were divided into two groups and the data was compared between children and adults. RESULTS: Twenty three patients, 9 children and 14 adults were studied. Age of surgery varied from 6 to 58 years. Surgical outcome was variable between the two groups. Amongst the children, three patients (33%) were seizure-free (Engel Class I), two patients (22%) had rare seizures (Engel Class II), one patient (11%) had a worthwhile decrease in seizures (Engel class III) and three patients (32%) had refractory seizures that required re-operation with an anterior temporal lobectomy. This differed from the adults, who all had a good outcome. Ten patients (71%) were seizure-free (Engel Class I) and the remainder (29%) had rare seizures (Engel Class II). CONCLUSION: Selective amygdalohippocampectomy can lead to excellent seizure surgical outcome in adults with refractory temporal lobe epilepsy. However, preliminary results show less favorable results in children. The difference is probably related to the different pathology between the two groups. Anterior temporal lobe resection may prove to be a more successful operation than SAH in children with intractable temporal lobe epilepsy.
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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 | 0.001 | 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) | 0.001 | 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".