Malignant chest wall neoplasms of bone and cartilage: a pictorial review of CT and MR findings
Bibliographic record
Abstract
Malignant tumours of the chest wall are uncommon. The purpose of this pictorial essay is to describe the CT and MRI findings of malignant neoplasms affecting the bony skeleton of the chest wall and the costal cartilages. The most common primary malignant neoplasms involving the bony skeleton of the chest wall are chondrosarcoma, osteosarcoma and Ewing's sarcoma/primitive neuroectodermal tumour. Metastases, multiple myeloma and invasive primary lung cancer are the most frequent secondary lesions. We performed a retrospective review of the radiology and pathology archive at our institution from 1 July 2000 to 31 December 2004 and identified 31 of these lesions. Several of these tumours have distinctive radiological features, allowing a confident radiological diagnosis to be suggested.
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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 | 0.008 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".