Intramedullary spinal cord metastasis from primary esophageal carcinoma
Bibliographic record
Abstract
Background: Intramedullary spinal cord metastasis (ISCM) are rare with primary lung, breast and melanoma accounting for up to 80% of cases. Diagnosis is often delayed or incorrect and these lesions can often be mistaken for primary astrocytoma or ependymoma given similar radiologic features. Methods: We present the case of an 80 year-old male with rapidly progressive quadriparesis and an enhancing intramedullary lesion at C4-7 with diffuse peri-lesional edema. The patient had previously undergone resection of non-metastatic esophageal carcinoma. Results: Bone scan revealed no evidence of skeletal or organ metastases. The patient underwent C5-7 laminectomy and resection of tumor with intra-operative monitoring. Final pathology revealed metastatic adenocarcinoma consistent with esophageal primary. PETCT revealed recurrent esophageal disease and pleural-based metastatic deposits. The patient went on to receive palliative radiotherapy to the cervicothoracic spine. Neurologic status improved marginally. Conclusions: ISCM from primary esophageal carcinoma is extremely rare. We present to our knowledge one of three reports of such in the literature. Hematogenous dissemination via Batson’s plexus and peri-veretebral plexuses is thought to be the likely route of spread. Treatment is primarily palliative, however surgical resection should be considered in the absence of metastatic disease.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".