AT-07 * SUCCESSFUL TREATMENT OF ATRT PATIENTS WITHOUT ADJUVANT RADIATION: A MULTI INSTITUTIONAL CANADIAN EXPERIENCE
Bibliographic record
Abstract
BACKGROUND: While radiation has been included in most of the recent multimodality strategies to treat ATRT patients, concerns of significant neurocognitive deficit in very young children has led some pediatric neurooncologists to avoid the use of systematic adjuvant radiation. We present here a multiinstitutional Canadian experience. RESULTS: From 2001 to 2013, 26 patients from 3 Canadian centers (Calgary, Toronto, Vancouver), diagnosed with ATRT were treated with high dose chemotherapy strategy with the intent to delay or avoid radiation. There were 16 females and 10 males. The median age at diagnosis was 21.2 months (4.2-110.2). Fourteen patients had a supratentorial tumor and 8 were metastatic at diagnosis (1M1, 5M2, 1M2/M3, 1 M2/MRT). Fifteen achieved gross total resection (3 underwent second look surgery). Ten patients received additional triple IT chemotherapy. Five of the 16 patients tested had evidence of INI1 germline mutation. Conditioning regimen for consolidation consisted in 1 cycle of (Carbo/VP16/Thiotepa) in 6 patients, 3 cycles of (Carbo/Thiotepa) in 19 and 4 cycles of (CPM/CDDP/VP16) in 1 patient. Ten patient received maintenance therapy with Tamoxifen and Cis retinoic acid following high dose chemotherapy. Only 6/26 (23%) patients received radiation, all in an adjuvant setting. Radiation consisted in focal radiation in 4 and craniospinal irradiation in 2 patients. Eleven patients relapsed. Ten patients died of disease, one of treatment related toxicity. At a median time of 53.8 months, 15 patients (57.6%) are alive with 11 (73.3%) of them who did not received radiation. CONCLUSION: Although there is still a lack of molecular or genetic marker that allows identification of patients with ATRT who can be spared upfront radiation, our experience describes an interesting survival rate for patients with ATRT in the absence of adjuvant radiation. Upcoming molecular classification in ATRT should help delineating indication of radiation.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".