The Utility of PET/CT in Guiding Radiotherapy Reduction for Children With Hodgkin Lymphoma Treated With ABVD
Bibliographic record
Abstract
ABVD (doxorubicin, bleomycin, vinblastine, dacarbazine) is standard upfront chemotherapy for adults diagnosed with Hodgkin lymphoma (HL), but positron emission tomography (PET)-based response data following ABVD is lacking for pediatrics. Among children who received ABVD for HL, we document interim and end of therapy PET-computed tomography (CT) response by Deauville criteria, and survival outcomes following a response-based reduction in involved field radiotherapy (IFRT). Children 18 years of age or below with HL treated with ABVD between 2006 and 2015 who had interim PET/CT scans after 2 cycles of chemotherapy were included. Interim and end of therapy PET/CT scans were retrospectively re-evaluated using Deauville criteria by 3 radiologists. Among 45 children, 32 (71%) met criteria for intermediate risk, 86% achieved rapid early response (RER) and only 4 (9%) received upfront IFRT. Patients achieving RER had superior 5-year event-free survival (EFS) 95%±4% versus 50%±18% (P≤0.001) and overall survival (OS) 100% versus 83%±15% (P=0.025). Patients with bulk who achieved RER and received no IFRT achieved 5-year EFS of 92%±6% and OS 100%. Low, intermediate, and high risk patients had 5-year EFS of 100%, 94%±4%, and 50%±18% (P=0.002) and 5-year OS of 100%, 100%, and 75%±15% (P=0.03). RER following 2 cycles of ABVD is predictive of survival outcomes in children and adolescents with HL and may identify a group who may omit IFRT.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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".