A comparison of the reliability and vulnerability of 3D stereos and 2D EOS when measuring the sagittal spinal alignment of patients with adolescent idiopathic scoliosis
Bibliographic record
Abstract
Background context: Vertebral compression fractures are frequent in the aging population, and are regularly treated by percutaneous vertebroplasty or kyphoplasty.Advances related to computerized navigation allow a more accurate surgery without new imaging acquisition, and related irradiation.New technologies trend to optimize the irradiation for the patient.Purpose: The objective was to compare results of O-arm navigation and new allin-one 2D/3D Surgivisio device in percutaneous cementoplasty procedures.Material & Methods: We retrospectively reported the results of all patients prospectively included for percutaneous navigated vertebroplasty or kyphoplasty for vertebral compression fractures during an 18-month duration in two spine centers.Demographic, operative and irradiation data were collected, as well as the image quality subjectively evaluated by the surgeon.Effective dose (E) in millisievert (mSv) was calculated using the PCXMC software and the recommendations of the International Commission for Radiological Protection.Results: 121 patients were included, 60 in the O-arm group and 61 in the Surgivisio group.A total of 161 vertebrae were analyzed.Compared to the Surgivisio group, E was significantly higher in the O-arm group, with a mean of 11.58 versus 1.14 mSv respectively (p < 0.001).2D part of E received by the surgeon was also significantly higher in the O-arm group, with an average of 2.18 versus 0.47 mSv respectively, p < 0.001.Operative time was also significantly higher in the O-arm group (34.17 versus 30.12 minutes respectively, p ¼ 0.044).ANOVA method showed no correlation between E and surgeon level for both groups (p ¼ 0.240 and p ¼ 0.171 respectively).Image quality was similarly sufficient in 3D but significantly better in the O-arm group in 2D (p ¼ 0.013).Conclusion: With a 10 times higher radiation exposure with the use of the Oarm, technological advances in intraoperative imaging showed a clear dose reduction for patients and surgeons during percutaneous navigated cementoplasty, while keeping a sufficient image quality to perform the surgery.
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.
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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".