Accessibility of the Cervicothoracic Junction Through an Anterior Approach
Bibliographic record
Abstract
STUDY DESIGN: Cross-sectional observational study. OBJECTIVE: To formulate a reliable method and modality for preoperative planning and to determine the effects of height, body mass index (BMI), and age on accessibility to the upper thoracic vertebrae through an anterior cervical approach. SUMMARY OF BACKGROUND DATA: Various modalities have been proposed to determine the lowest spinal-level accessible through a traditional anterolateral cervical approach and the consequent need for manubriotomy. Past methods have routinely involved a variety of imaging studies such as plain radiographs and computed tomography but the reliability of these methods has not been assessed. METHODS: The Magnetic Resonance Imaging (MRI) images of 180 patients classified by age and gender were evaluated and the most caudal accessible intervertebral disc space was determined from an approach angle beginning at the suprasternal notch. Plain cervical radiographs were also reviewed when available. In patients with multiple imaging studies, the reliability of the measurements was compared. Rate of accessibility was compared across different heights, BMIs, and ages. RESULTS: A novel algorithm that utilized both the scout and mid-sagittal T2 MRIs was able to determine the most caudal cervicothoracic level accessible for anterior access in 93.3% of patients with a reliability of 96.8%. Conversely, plain radiograph evaluation led to low reliability (66.7%) and low agreement with MRI (60%) with an average error of one spinal level. In this patient sample, the T1 to T2 disc space was accessible in 82.7% of patients. Age and BMI were independent variables associated with accessibility (p < 0.01) while height was determined not to be significant (p = 0.09). CONCLUSION: Data in this study suggest an MRI-based algorithm with a combination of scout and sagittal T2 images offers a reliable and consistent assessment of accessibility to upper thoracic levels through an anterior approach. Age and body mass index are major determinants of accessibility.
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".