Minimally Invasive versus Open Approach for Cervical Laminoforaminotomy
Bibliographic record
Abstract
BACKGROUND: Minimally invasive posterior cervical foraminotomy for radicular symptoms has become more prevalent. The reported experience with microscopic tubular assisted posterior cervical laminoforaminotomy (MTPF) for the treatment of radicular pain is lacking. Tubular assisted techniques have been considered to offer significant benefit, over open procedures, in terms of minimizing tissue damage, operative time, blood loss, analgesic requirements and length of hospital stay. We hypothesized that MTPF reduces post-operative analgesic requirements and length of hospital stay over the traditional open laminoforaminotomy, with no difference in complication rates and, secondly, that MTPF is comparable to endoscopic posterior foraminotomy (EPF). METHODS: We conducted a retrospective review of 107 patients who underwent posterior cervical laminoforaminotomy for radicular pain between 1999 and 2009. Patient demographics, intra-operative parameters, length of hospitalization, post-operative analgesic use, complications and short-term neurological outcome were compared between groups. RESULTS: Between 1999 and 2009, a total of 107 patients were identified to have undergone a cervical foraminotomy. An open approach was used in 65 patients, while 42 underwent MTPF. Operative time and complications were comparable between groups. Significant differences favoring MTPF were observed in operative blood loss, post-operative analgesic use and length of hospital stay (p<0.001). All results were comparable to previous reports utilizing EPF. CONCLUSIONS: MTPF for the treatment of cervical radiculopathy significantly reduces blood loss, post-operative analgesic use and length of hospital stay compared to the standard open approach. Operative time and complication rates were comparable between both techniques, whilst MTPF offered similar results compared to EPF.
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 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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".