Management of Bone Metastases From Breast Cancer in Upper and Lower Body at the Same Time: A Case Report
Bibliographic record
Abstract
Breast cancer is by far the most common cancer in women, and it has the highest incidence rates in western Europe. At breast cancer diagnosis, approximately 5-6% of women present with distant spread with bone, representing the most common site of metastatic lesions. More than half of the women, who present with metastatic breast cancer at the primary diagnosis, will develop bone metastases. We report a clinical case of a 75-year-old woman, with a history of breast cancer who undergone surgery 7 years ago, presenting bone metastases in different areas. We tried to determinate the major areas of pain and then to quantify it with a one-dimensional scale. After that, we analyzed the images of the previous instrumental exams and the centering CT in order to compare them with what the patient reported and then to decide what we should have targeted first. The aim of our work was to try finding a methodology in order to determinate the priority in the selecting of the area to treat to apply in this kind of patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".