Novel MRI Changes After Gamma Knife for Hypothalamic Hamartoma in a Child
Bibliographic record
Abstract
Hypothalamic hamartomas (HH) are rare lesions of ectopic neural tissue arising from the wall of the hypothalamus.Patients with HH can present with gelastic seizures, precocious puberty or both 1 .Seizures are usually progressive and accompanied by worsening behavioral problems and developmental delay 1 .Stereotactic radiosurgery (SRS) has been shown to be safe and effective, resulting in improvement in seizures and halting tumor progression.Gamma Knife (GK) radiosurgery in the treatment of hypothalamic hamartoma has reported Engel Class 1 seizure status of up to 60%, with improvement in behavioral status in some cases 2 .Post-treatment magnetic resonance (MR) imaging as reported in the literature has not demonstrated significant changes within the treated areas of a HH.The authors report the case of a four year-old boy with a symptomatic hypothalamic hamartoma treated with GK radiosurgery.Serial MR imaging after treatment revealed significant and progressive edema and swelling at the treatment site, with increased T2 signal change and gadolinium uptake lasting one year after treatment and eventually resolving spontaneously.Although not accompanied by clinical worsening, these changes have not been previously reported in SRS for HH.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.006 |
| 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".