Spinal Cord Compression in a Patient With Multiple Hereditary Exostoses Caused by Breast Adenocarcinoma Metastatic to Osteochondromas of the Spine
Bibliographic record
Abstract
In Brief Study Design. Case report. Objective. To report on thoracic spinal cord compression caused by a mass in a 66-year-old female with new onset of myelopathic symptoms and a history of multiple hereditary exostoses. Summary of Background Data. To our knowledge, there have been no previous reports of spinal cord compression in a patient with multiple hereditary exostoses caused by breast adenocarcinoma metastatic to osteochondromas of the spine. Methods. Chart, pathologic, and radiographic documentation of the preoperative and postoperative clinical course of the patient was used. Results. The patient had resolution of her neurologic symptoms following wide surgical excision, decompression, and stabilization from T2 to T10. The patient’s mass was found to be breast adenocarcinoma metastatic to osteochondromas of the spine. Conclusions. When faced with a patient with a history of multiple hereditary exostoses with new onset of myelopathic symptoms and a mass compressing the spinal cord, the clinician’s differential should be broad and always initially include a metastatic lesion, osteochondroma, or chondrosarcoma. Thoracic spinal cord compression caused by breast adenocarcinoma metastatic to osteochondromas of the spine in a patient with multiple hereditary exostoses with new onset of myelopathic symptoms is discussed. Resolution of symptoms was achieved via surgical intervention. The clinician should maintain a broad differential when faced with new onset of myelopathic symptoms in patients with multiple hereditary exostoses.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".