Measuring Cranial Vault Volume With Three-Dimensional Photography
Bibliographic record
Abstract
The gold standard for measuring cranial vault volume is a computed tomography (CT) scan. Computed tomography scans in the pediatric population carry the significant risk of inducing a malignancy later in life. In a novel study, we show that a three-dimensional (3D) photograph can be used to measure and track cranial vault volume changes in craniosynostosis patients. In a study of adequate power as determined by pre hoc analysis, we demonstrate a greater than 0.91 correlation coefficient between volume as measured by CT and 3D photograph in more than 70 patients presenting to a tertiary craniofacial center (P < 0.001). Volume above a plane running through the lateral canthus (ex) and tragus (t) sag-ex-t on the digital 3D photograph differs from CT by a mean percentage difference of 31.9% (SD, 14.0%; 95% confidence interval, P < 0.0001). A linear regression model was used to determine the equation describing the relationship between volume as measured by 3D photograph and CT; with this equation, the absolute volume of the cranial vault is easily determined using only the 3D image. Interrater reliability is high (>0.99, ICC). The ability to measure cranial vault volume from the 3D photograph adds an important dimension to the complete and objective analysis of skull growth and postoperative change.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".