Treatment of Cystic Craniopharyngioma with Intracystic Stereotactic Instillation of Phosphorus 32.
Bibliographic record
Abstract
OBJECTIVE: Cystic craniopharyngiomas are considered the most common intracranial nonglial tumor in children with the tendency for cyst formations. The aim of this study was to evaluate the effect of intracystic phosphorus 32 (P32) therapies on controlling the growth of the cystic component of craniopharyngioma. MATERIALS & METHODS: This clinical study was conducted on 47 patients with cystic craniopharyngioma from March 1998 to June 2012 at Shohada Tajrish Hospital, Tehran, Iran. Patients were treated with stereotactic intracystic P32. The mean cyst volume was 23.5 ml, and the dose of radiation to the inner cyst wall was 250 Gy. RESULTS: The overall response rate was 78.1% and the mean survival was 113.1±11months. The survival rate at 1, 3, 5, and 10 years after p32 therapy was 91%, 77%, 73%, and 52%, respectively. There was no mortality related to the procedure and no visual or endocrinal deterioration. Visual improvement occurred in 88% of patients presented with recent deterioration due to the cyst enlargement. CONCLUSION: Intracystic p32 therapy was an effective and almost safe procedure for the treatment of cystic component of craniopharyngioma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.000 |
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".