Clinical Rationale of Using Steerable Technologies for Radiofrequency Ablation Followed by Cavity Creation and Cement Augmentation in the Treatment of Painful Spinal Metastases
Bibliographic record
Abstract
(1) Background: Cement distribution after radiofrequency ablation of spinal metastases can be unpredictable due to various tumor factors, and vertebral augmentation requires advanced devices to prevent cement leakage and achieve satisfactory filling. The purpose of this study is to evaluate the safety and efficacy of a platform of steerable technologies with an articulating radiofrequency ablation (RFA) probe and targeted cavity creation before vertebral augmentation in the treatment of painful spinal metastases. (2) Methods: Sixteen patients (mean age, 67 years) underwent RFA in conjunction with vertebral augmentation after the creation of a targeted balloon cavity for metastatic spinal disease and were followed up to 6 months. Pain and functional mobility were assessed before treatment and postoperatively using the Visual Analogue Score (VAS) and Functional Mobility Scale (FMS). Complications, predictability of cement distribution, anatomical restoration, and local recurrence were collected. Technical success was defined as successful intraoperative ablation and predictable cement distribution after cavity creation without major complications. (3) Results: Sixteen patients with 21 lesions were treated for tumors involving the thoracolumbar spine. All treatments were technically successful and were followed by targeted cavity creation and vertebral augmentation. A statistically significant reduction in median VAS score was observed before treatment and 1 week after RFA treatment (p < 0.001). A total of six of the seven patients who reported limited painful ambulation before treatment reported normal ambulation 1 month after treatment, while the remaining patient reported no improvement. Patients who reported wheelchair use before treatment improved to normal ambulation (four/eight) or limited painful ambulation (four/eight). The improvement in mobility before and after treatment was statistically significant (p = 0.002). Technical success was achieved in all the combined procedures. (4) Conclusions: The combined treatment of RFA and vertebral augmentation with a steerable platform that allows the creation of a targeted cavity prior to cement injection proved to be a safe and effective procedure in our patient sample, resulting in improved quality of life as assessed by the Visual Analogue Score (VAS) and Functional Mobility Scale (FMS).
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".