Intracranial stereotactic radiosurgery
Bibliographic record
Abstract
Stereotactic radiosurgery (SRS) is the use of a single high dose of radiation, stereotactically directed to an intracranial region of interest, in order to create a lesion or obliterate a preexisting one. This technology has evolved over the years into the use of multiple radiation sources oriented at a variety of angles, thus permitting the creation of various treatment target shapes. This allows for non-open surgical treatment of intracranial pathologies, which significantly decreases the risk of morbidity. The destruction of pathological tissue following radiosurgery is a stepwise process that involves a number of different stages, beginning with the necrotic stage, followed by the resorption stage, and concluding with the glial scar formation stage. There are currently a number of different delivery methods of SRS, including linear accelerators, Gamma Knife units, and charged particle methods (Bragg-peak and plateau-beam). Various intracranial lesions exhibit different responses to radiosurgery; however, most lesions of appropriate size tend to respond favorably. Radiosurgery is used today in the treatment of brain metastases, meningiomas, vestibular schwannomas, sellar and suprasellar lesions, and arteriovenous malformations. SRS is widely used to treat functional conditions, such as trigeminal neuralgia and intractable tremor. The treatment of intracranial lesions with radiosurgery can result in undesirable effects on the adjacent normal brain, resulting in adverse radiation effects. The distinction between tumor progression and adverse radiation effects can be challenging but is aided by various imaging modalities. Treatment options for this condition include observation, corticosteroids, pentoxifylline and vitamin E, bevacizumab, laser-interstitial thermal therapy, and surgical resection.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.008 |
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".