Advantages of Post-Mastectomy Proton Beam Therapy in a Breast Cancer Patient With Pectus Excavatum
Bibliographic record
Abstract
Pectus excavatum (PE) is a chest wall deformity that can complicate the delivery of radiation therapy (RT) for breast cancer. This case report highlights the potential benefits of proton beam therapy (PBT) for these patients. We describe a case of a 79-year-old woman with PE who required post-mastectomy chest wall RT. Treatment plans were generated to deliver 45 Gy in 25 fractions with either PBT or conventional conformal photon RT. A 10-Gy boost to the post-mastectomy scar was used for both plans. A dosimetric benefit was observed for organs at risk with the PBT plan compared to the photon plan. PBT reduced mean doses to the lungs by more than 70% and to the heart by greater than 95%. The patient was treated with PBT with minimal acute toxicities. With the challenging chest anatomy of PE, PBT was selected as the treatment of choice for post-mastectomy radiation. The superior dosimetry can decrease the risks of post-treatment cardiac and pulmonary toxicities. J Med Cases. 2017;8(3):98-101 doi: https://doi.org/10.14740/jmc2781w
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 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".