Optic nerve gliomas: role of Ki-67 staining of tumour and margins in predicting long-term outcome
Bibliographic record
Abstract
BACKGROUND: Although optic nerve gliomas (ONGs) are generally slow-growing with a good prognosis, factors for identifying cases that may pursue a more aggressive course are not well established. The authors investigated cell proliferation markers for prognostic significance in a series of resected ONGs. METHODS: Twelve cases of resected ONG were identified out of a total of 38 examined at the authors' institution between 1981 and 2008. Clinical data were reviewed. Ki-67 and p53 immunohistochemical staining was performed on the tumour mass and the proximal resection margin. RESULTS: All of the tumours were low-grade pilocytic astrocytomas. Six patients were suspected to have histologically positive proximal resection margins. Ki-67 labelling indices (LI) ranged from 0.3% to 5.9% (mean 2.4%) for the tumour mass and from 0 to 2.1% (mean 0.9%) for the proximal resection margins. One patient had evidence of progression 25 months after subtotal surgical resection. The Ki-67 LI of the proximal resection margin in this case was similar to the main tumour value. The other six patients with histologically negative proximal resection margins all had lower relative proliferation indices at the resection margin when compared with the tumour mass and are currently stable with no evidence of progression. CONCLUSIONS: Routine histological examination of resection margins may be difficult to interpret in the setting of reactive gliosis. A resection margin with a Ki-67 LI similar to the tumour bulk value may have an adjunctive role in identifying cases with the potential for growth thereby facilitating the decision-making process for future management and surveillance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".