Intra‐operative Echographic Localization for Radioactive Ophthalmic Plaques in Choroidal Melanoma
Bibliographic record
Abstract
The objectives were to evaluate the beneficial effect of intra-operative echographic plaque site localization and to assess the rate of complications of postplaque insertion. This paper is a descriptive study of 48 patients with choroidal melanoma who underwent iodine-125 (I(125)) or ruthenium-106 (Ru(106)) plaque radiotherapy with intra-operative echographic confirmation of plaque placement with the aid of a nonradioactive plaque (dummy) at McGill University Health Centre from 1997 to 2003. Patients' mean age was 63.7 years; 52% (25/48) male, 48% (23/48) female. Twenty-seven percent (13/48) of the tumors were confined to the right eye and 73% (35/48) to the left eye. Forty-eight percent (23/48) of the tumors were located posterior to the equator, 14.6% (7/48) were anterior to the equator, 18.7% (9/48) in posterior pole, and 18.7% (9/48) at equator. Sixty-nine percent (33/48) received I(125) and 31% (15/48) had Ru(106) treatment. Ninety percent of the dummy plaques were initially positioned suboptimally and required repositioning under echographic guidance. At mean follow-up of 18.8 months, there was no tumor-related death or metastasis, but one patient required enucleation. The dummy plaque technique under echographic visualization resulted in reduction of radioactive exposure time during surgery of up to 50%. Intra-operative echographic utilization has the ability to localize precisely the tumor-plaque relationship, thereby optimizing the radiation delivered to the choroidal melanoma, while minimizing the surgeon's exposure time.
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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 | 0.002 |
| 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) | 0.001 | 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".