Cyst-like tubers are associated with TSC2 and epilepsy in tuberous sclerosis complex
Bibliographic record
Abstract
BACKGROUND: Tuberous sclerosis complex (TSC) is a genetic condition characterized by the presence of hamartomatous lesions in multiple organs, including tubers in the brain. The majority of patients with TSC have epilepsy. Some cortical tubers are epileptic foci, while others appear to be physiologically quiescent. It is unknown whether variations in tuber morphology may account for this difference. The objectives of this study were to determine the frequency of cyst-like tubers in patients with TSC, whether cyst-like tubers correlate with TSC genotype, and whether cyst-like cortical tubers are associated with a history of infantile spasms, epilepsy, or refractory epilepsy. METHODS: A retrospective chart review was performed of 173 patients with TSC. MRI images were evaluated for the presence of at least one cyst-like cortical tuber. Patient charts were then reviewed for genetic mutation, a history of infantile spasms, epilepsy, and epilepsy refractory to more than three medications. RESULTS: A total of 46% of patients had at least one cyst-like cortical tuber present on neuroimaging. Patients with a TSC2 mutation were more likely to have a cyst-like tuber than patients with TSC1 mutation (p = 0.002) or patients with no mutation identified (p = 0.039). Patients with at least one cyst-like cortical tuber were more likely to have a history of infantile spasms (p = 0.00005), epilepsy (p = 0.0038), and refractory epilepsy (p = 0.0007) than patients without a cyst-like cortical tuber. CONCLUSION: Cyst-like cortical tubers are strongly associated with TSC2 gene mutation and a more aggressive seizure phenotype in patients with tuberous sclerosis complex.
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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 | 0.003 |
| 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) | 0.003 | 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".