Effectiveness and Pitfalls of Percutaneous Transpedicle Biopsy of the Spine
Bibliographic record
Abstract
Seventy-one percutaneous transpedicle biopsy specimens were taken from 68 patients with cervical, thoracic, lumbar, or sacral vertebral lesions, with the patients under local anesthesia. Sixty-one procedures were done with fluoroscopic guidance and seven procedures were done with computed tomography guidance. Twenty-one patients were diagnosed as having infectious spondylodiscitis, three had tuberculosis, two had coccidiomycosis, two had brucellosis, one had blastomycosis, one had an echinococcus cyst, six had primary neoplasms, 14 had metastatic neoplasms, five had osseous repair for insufficiency fractures, seven had osteoporotic fractures, and one had Paget's disease of bone. In the four remaining patients, the biopsy initially was negative but it was proven to be false-negative because of faulty biopsy technique. The percutaneous transpedicle approach for biopsy is safe, efficacious, and cost-effective. False-negative results and complications can be avoided when adhering to the technical details of this procedure.
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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 | 0.007 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".