Use of radiotherapy for seminoma patients with low-volume infradiaphragmatic nodal disease.
Bibliographic record
Abstract
335 Background: Radiation therapy (RT) is established as standard management in testicular seminoma patients with low volume (< 5cm in maximum diameter) retroperitoneal lymphadenopathy. Increasingly multi-agent chemotherapy (CT) is being recommended as first line therapy with its attendant toxicity. To further examine this issue, we reviewed the outcomes for such patients managed at our institution. Methods: After ethics board approval, data on 106 patients identified from a prospectively maintained institutional database with low volume retroperitoneal disease (<5cm) were retrospectively reviewed. All patients were treated between 1995-2010 and had either relapsed Stage I disease on surveillance (59 pts) or Stage IIA/B at diagnosis (47 pts). Fifty eight patients had nodal disease of <2cm (57 treated with RT, 1 with CT), and 48 had disease 2-5cm (30 treated with RT, 18 with CT). Median age was 37 years (range 24-83). The preferred treatment policy was to use RT when possible (25 Gy in 20 fractions to para-aortic and pelvis with 10 Gy boost to gross disease). Reasons for using chemotherapy included multiple enlarged nodes with largest node at least 3cm (n=11), disease proximity to renal hilum (n=4), inflammatory bowel disease (n=3) and patient choice (n=1). Seventeen-patients received EP (4 cycles) chemotherapy and 2 received BEP (3 cycles). Results: With a median follow-up of 73 months, there were no disease or treatment related deaths. The 5-year overall and relapse-free survival was 100% and 91%. Of 58 patients with LN size ≤ 2 cm, 5 relapsed, all initially treated with RT. Of 48 patients with LN size 2-5cm, 4 relapsed (3/30 treated with RT, 1/18 treated with CT). Acute toxicity (CTCAE v4 >grade 1) was not observed in any patient treated with RT. In patients treated with CT, 7 developed G3/4 neutropenia, 2–grade 3 anemia, 2–grade 3 diarrhea, and 1 patient grade 3 weight loss. All relapsed patients were successfully salvaged by CT. Conclusions: A policy of routine use of RT in patients with low-volume nodal disease gives excellent results with >75% of patients avoiding CT and only 6% of patients receiving both RT and CT. Retroperitoneal RT should be strongly considered as the treatment of choice in these patients.
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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 | 0.000 | 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".