Towards a Handheld Probe based on Optical Coherence Tomography for Minimally Invasive Spine Surgeries
Bibliographic record
Abstract
Minimally invasive surgical (MIS) techniques for the correction of scoliosis are under development. The installation of fusionless implants targeting the vertebral growth plate requires precise identification of spinal micro-structures. During ex vivo studies, we demonstrate that optical coherence tomography (OCT) allows visualization of spinal tissues including the growth plate, the intervertebral disc and the vertebral body. This study aims at designing a handheld probe using OCT and assessing its potential for use in MIS. An OCT handheld probe was built which satisfies criteria for resolution, penetration and field of view required for spinal MIS techniques. Ex vivo images of rat tail and porcine vertebrae enabled differentiating musculoskeletal tissues of the spine (growth plate, intervertebral disc and vertebral body). Pending in vivo studies on porcine models, we evaluated the probe on a human finger and demonstrated its ability to image human tissues at video rate (25 fps) with proper imaging depth and resolution. These preliminary results showed the potential of the OCT probe for dynamic and precise imaging of spinal tissues.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".