Treatment of pediatric stage IA lymphocyte-predominant Hodgkin lymphoma with surgical resection alone: A report from the Children's Oncology Group.
Bibliographic record
Abstract
9524 Background: Lymphocyte-predominant Hodgkin lymphoma (LPHL) is an uncommon histologic subtype comprising up to 10% of cases in pediatric series. Patients with LPHL typically present with low stage disease and are responsive to regimens used for classical HL. Recurrence is uncommon; secondary malignant neoplasms or evolution to non-Hodgkin lymphoma are more common events. Small retrospective studies have suggested that some patients with stage I LPHL can be cured with surgery alone. We report the results of a large prospective study using a treatment algorithm in which a selected subset of patients received surgery alone. Methods: Patients ages 0-21 years with newly-diagnosed, low risk LPHL were eligible for AHOD03P1. Low risk was defined as clinical Stage IA and IIA in the absence of bulk disease (a mediastinal mass > 1/3 of the thoracic diameter or a nodal aggregate > 6 cm). Central pathology review was performed to confirm LPHL histology. Baseline evaluations included CT and FDG-PET. Patients with Stage IA disease in a single node that was completely resected were observed without further therapy. Total resection (TR) was confirmed by rapid central review of CT and FDG-PET. In some cases the extent of resection was equivocal; repeat imaging 6-7 weeks after initial evaluation was used to allocate such patients to either observation or chemotherapy. Patients who recurred were assigned to treatment with 3 cycles of AV-PC (doxorubicin/vincristine/prednisone/cyclophosphamide). Results: Between January 2006 and November 2010, 52 patients with Stage IA, single node LPHL were enrolled with a confirmed TR. Nine patients have experienced a relapse; 8 were Stage I and 1 was Stage II at relapse. The median time to relapse was 10 (range 1-17) months. The median follow up among the 43 remaining patients is 26 (range 4-60) months. The current 2 year EFS estimate among these patients is 80.3% (95% CI: 65.3% -89.3%). Overall survival for the 52 patients is 100%. Conclusions: With this strategy of surgical resection followed by observation in a highly select cohort of pediatric LPHL, up to 80% of patients may be spared chemotherapy. Follow up is limited but overall survival to date is excellent.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".