Breast Cancer With Airway Edema Caused by Metastatic Fracture of the Cervical Vertebra
Bibliographic record
Abstract
Bone is a common site of breast cancer metastasis, with the spine showing a particularly high affinity. An 83-year-old Japanese woman with Alzheimer's disease presented with a palpable mass in her left breast. A needle biopsy revealed invasive ductal carcinoma of the breast, hormone receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative, with lymph node metastasis. Chest dynamic computed tomography showed no distant metastases. She was diagnosed with luminal-type, stage IIB (T2N1M0) breast cancer and underwent surgery. During induction of general anesthesia, intubation was difficult due to airway edema, necessitating bronchoscopy. The day after surgery, she reported neck pain, and radiography revealed a compression fracture of the third cervical vertebra. Magnetic resonance imaging confirmed a metastatic lesion in the third cervical vertebra. Postoperatively, she received endocrine therapy with letrozole, radiation therapy with zoledronic acid, and a cervical collar for cervical metastases. Seven months later, the osteolytic lesion calcified, and her pain improved. This case is unique because solitary cervical vertebral metastases from breast cancer, leading to compression fractures and airway edema, are rare. The case highlights the importance of considering cervical metastases in patients with breast cancer who develop airway difficulties or unexplained neck pain, particularly in the perioperative setting. Early recognition and intervention are crucial for preventing complications and optimizing patient outcomes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".