Radiation therapy for primary orbital and ocular adnexal lymphoma
Bibliographic record
Abstract
Objective: To report the efficacy and toxicity of External beam Radiotherapy (EBRT) as a sole treatment for MALT and Follicular Primary Orbital and Ocular adnexal Lymphoma (POOAL). Methods: Retrospective review of all POOAL patients treated with EBRT utilizing megavoltage photon or electron beam radiotherapy between 2003 and 2015. Patient demographics, tumour extent and pathology, radiotherapy techniques, and treatment outcomes were reviewed. The actuarial rates of tumour control and radiation toxicities were calculated using Kaplan-Meier estimates. Results: This study included 167 tumours, of which MALT lymphoma involved 149 (89 %). The conjunctiva and orbit were equally involved as the predominant site (48 %). Megavoltage photon radiotherapy was used in 60 % of predominantly orbital lymphoma and Electron beam with lens shielding in 77 % of the conjunctival lymphoma. The majority (95 %) were treated with a total dose of 25 Gy in 10 fractions. Local control rate was 98 % (CI: 93-100 %) at 5 years. The long-term RT toxicities included dry eye in 27 eyes (16 %) and cataract in 22 (13 %). None of the patients developed significant structural or functional radiation toxicity. Conclusion: External Beam Radiotherapy, with lens shielding whenever indicated, at a dose of 20-30 Gy delivered over 10-20 fractions is an efficacious and safe primary treatment option for POOAL lymphoma, with excellent local control and low incidence of late manageable ocular toxicities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.002 | 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".