Stereotactic radiotherapy for treatment of juxtapapillary choroidal melanoma: 3-year follow-up
Bibliographic record
Abstract
AIMS: To report the treatment outcomes and complication rates of stereotactic radiotherapy in the management of patients with juxtapapillary choroidal melanoma. METHODS: A retrospective review of 64 consecutive patients with juxtapapillary choroidal melanoma, located within 2 mm of the optic disc, treated with stereotactic radiotherapy at Princess Margaret Hospital between October 1998 and January 2006. RESULTS: The median age was 63 years. The median tumour height was 4.2 mm, and median largest basal diameter was 9.8 mm. The prescribed radiation dose was 70 Gy in five fractions over 10 days, and the median follow-up was 37 months. Post-treatment, the actuarial rates of local tumour control, metastases and survival at 37 months were 94%, 15% and 90%, respectively. Actuarial rates of radiation-induced complications at 37 months were neovascular glaucoma 42%, cataract 53%, retinopathy 81% and optic neuropathy 64%. Secondary enucleation was necessary for 10 patients (16%), in four patients for tumour recurrence and in six for painful neovascular glaucoma. CONCLUSIONS: Stereotactic radiotherapy offers a non-invasive alternative to enucleation and brachytherapy in the management of juxtapapillary choroidal melanoma with a high tumour control rate, however, at the expense of a significant rate of long-term ocular complications.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.001 | 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".