Prediction of risks of cardiac mortality and secondary cancers after thoracic radiotherapy in adolescents and young adults
Bibliographic record
Abstract
Intensity modulated proton therapy (IMPT) is believed to improve the therapeutic ratio by reducing the dose to normal tissue as compared to three dimensional conformal (photon) radiotherapy (3D-CRT). This hypothesis is investigated in this work by predicting the risks of late radiation-induced effects for young patients receiving radiotherapy for Hodgkin's and non-Hodgkin's lymphoma (HL and NHL) or breast cancer (BC) using radiobiological modeling. The late effects considered were cardiac mortality and secondary cancer in the lungs and breasts (for female patients).Patient data was acquired for twenty-eight patients who were under thirty years of age and were treated with radiotherapy for HL, NHL, or BC in Quebec in 2010. The original computed tomography simulation images were used to re-plan the patients with IMPT using Eclipse treatment planning software (version 10, Varian Medical Systems, Palo Alto, CA). The dose-volume data of the original photon plans and the new proton plans were analyzed using the relative seriality model to assess the risks of late effects. The relative seriality model was utilized to predict excess risk of cardiac mortality. The Schneider1 modified linear quadratic model was used to predict the excess absolute risk for induction of lung cancer and breast cancer. Parameters for each model were derived from retrospective studies in the literature.Dosimetric plan comparison revealed IMPT reduced dose to the organs at risk of interest as compared to 3D-CRT. Overall the excess risk of cardiac mortality and the excess absolute risks for lung and breast cancers were reduced for IMPT as compared to 3D-CRT.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".