Stability of the Metastatic Spine Pre and Post Vertebroplasty
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Vertebrae with lytic metastases have an elevated risk of burst fracture and resultant neurologic compromise. Prophylactic vertebroplasty has the potential to reduce pain and the risk of burst fracture in the metastatic spine. The purpose of this study was to quantify the ability of vertebroplasty to stabilize metastatically involved vertebrae against the risk of burst fracture initiation with a standardized model of vertebral metastases. METHODS: Metastases were simulated in eight fresh-frozen cadaveric thoracolumbar spinal motion segments by removing a central core of trabecular bone and filling the defect with tumor tissue. Specimens were tested under a physiologic level of axial compression, intact, with a simulated tumor and post-vertebroplasty, and ultimately tested to failure. Axial load induced canal narrowing (CN) was used as a measure of the risk of burst fracture initiation. Following testing, vertebrae were axially sectioned to visualize cement fill. RESULTS: Vertebrae with simulated metastases exhibited significantly higher CN than intact specimens (227%+/-109%; P<0.05). Post vertebroplasty, three vertebrae exhibited reduced CN compared with the simulated tumor configuration, whereas the other five had increased CN. Specimens with reduced CN were found to have cement posterior to the tumor, whereas specimens with an increase in CN had cement anterior and lateral to the tumor only. Percutaneous vertebroplasty is effective in decreasing CN if tumor is surrounded posteriorly with cement. However, injecting cement into the posterior third of the vertebral body is risky due to potential extravasation into the canal. CONCLUSION: Future work aimed at improving cement fill is necessary for safe and consistent stabilization of the metastatic spine with vertebroplasty.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it