Curve flexibility assessment on AIS surgical candidates using ultrasonic imaging method - a preliminary study
Bibliographic record
Abstract
Bending radiographs are routinely used to determine curve flexibility during planning of scoliosis surgery. However, the cumulative dose of ionizing radiation is a concern, especially in growing children. Ultrasound (US) imaging method has been used to measure the coronal curvatures up to 45° Cobb. The objectives were to investigate the feasibility of using US method to scan AIS surgical candidates, to measure the curve flexibility and to determine its correspondence with the radiographic measures. Four female AIS surgical candidates (age: 14.6±1.6 years) consented to participate. Both radiographs and US images, in standing, left bending and right bending positions, were obtained prior to scoliosis surgery. Routine supine bending radiographs for surgical planning were assessed, whereas the US was acquired in the prone position. The post-op standing radiographs were acquired one week after the surgery. One rater blinded to the clinical information measured the curvature with one week apart between modalities. Eight curves, 4 right thoracic, 1 thoracolumbar and 3 lumbar curves, were measured. The curve correction angles were calculated by subtracting the bending curves from the standing Cobb angles. The mean absolute deviation (MAD), standard deviation (SD) and correlation coefficient (R) of the correction angles between the US images and radiographs were compared. The pre-op Cobb angles from standing radiographs and ultrasound images were 53±16° and 49±16°, respectively. The correction angles (MAD±SD) measured from the bending radiographs, bending ultrasound and the post-op radiographs were 31±8°, 39±10°, and 31±9°. The (MAD±SD and R) of the correction angles between the bending radiographs versus the post-op radiographs, and the bending ultrasound versus the post-op radiographs were (9±4°, 0.34) and (8±6°, 0.83) respectively. Although the overall curve correction was similar between the radiography and ultrasound measurements, the ultrasound measurements showed a higher correlation between the predicted correction and the final outcomes. Ultrasound imaging method has a potential to measure the coronal curvature of the AIS surgical candidate. Although the curve flexibility can be estimated by the US method, the results showed more correction compared to the bending radiography measurements. This may be partially due to the difference in prone and supine bending posture. The correction measurements from the US and post-op measurements presented higher correlation than the measurements between pre-op and post-op radiographs. However, due to a limited number of participants, a definite conclusion cannot yet be made.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".