Outcomes following radiotherapy for atypical teratoid/rhabdoid tumor in combination with surgery and intensive chemotherapy: A report from Children’s Oncology Group study ACNS0333
Bibliographic record
Abstract
Abstract Background Children’s Oncology Group ACNS0333 treated atypical teratoid/rhabdoid tumor (ATRT) with surgery, chemotherapy (induction and consolidation) and radiation therapy (RT). M0 had focal RT and M+ had physician-selected focal RT or craniospinal (CSI). Methods Forty patients (29 M0, 11 M+) received RT. Pre-RT chemotherapy response was complete, partial, or stable disease. RT timing (age/stage-based) was pre-consolidation (RT-first) or post-consolidation (consolidation-first). Event-free survival (RT-EFS), overall survival (RT-OS), and cumulative incidence of local relapse (CILR) or distant relapse (RT-CIDR) were calculated. Analyses included log-rank tests and relative hazard rates with 95% confidence intervals to estimate proportional hazards regression. Results Four-year RT-EFS was 56.8% and 4-year RT-OS was 58.8% focal RT: 34 patients, CSI: 6 patients). A trend for superior RT-EFS for M+ compared to M0 (P = .0625, RHR 0.26; 95% CI 0.06-1.18) was shown. RT-EFS was improved for consolidation-first compared to RT-first timing (P = .037, RHR 0.43; 95% CI 0.13-1.37). Pre-RT chemotherapy response was associated with improved RT-EFS (P = .031) and RT-OS (P = .0069). Four-year RT-CILR was 7.84%; no differences in RT-CILR were shown for higher primary RT dose (≥5400 cGy, P = .38) or gross total resection (P = .80). 4-year RT-CIDR was 27.8% for M0 and 9.1% for M+ patients (P = .22). M+ had CSI (n = 6) or focal RT (n = 5). Fatal necrosis potentially-attributable to RT occurred in 3 RT-first patients (occuring either 1.6, 4.6, or 16.2 months post-treatment). Conclusions RT with intensive systemic therapy showed promising survival outcomes and effective primary disease control in ATRT. Sequencing RT prior to myeloblative chemotherapy, rather than post-consolidation, may be associated with increased risk of fatal radionecrosis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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".