Three-dimensional craniofacial imaging in children with achondroplasia treated with vosoritide
Bibliographic record
Abstract
Purpose: Achondroplasia is the most common form of disproportionate short-stature skeletal dysplasia. Constitutively activated FGFR3 signaling disrupts endochondral ossification, affecting long bone growth, as well as the craniofacial skeleton and skull base. This results in the distinctive craniofacial features of achondroplasia, such as midface hypoplasia and nasal bridge depression. Vosoritide is a precision medicine that acts through the C-type natriuretic peptide pathway to counteract overactive FGFR3 signaling, including its inhibitory effects on chondrocyte differentiation and proliferation. The aim of this study was to investigate the potential effects of vosoritide treatment on the craniofacial skeleton in achondroplasia. Methods: We used longitudinal 3D facial surface imaging in children aged 5 to 10 years receiving vosoritide to test for differences in face shape over the course of treatment. We used nonlinear registration to standardize a dense measurement of all facial meshes. Finally, we defined the achondroplasia phenotype by scoring participant faces based on their shape similarity to the distinctive facial presentation of achondroplasia. Results: We measured the change in achondroplasia score for all participants recruited in this study. Using a linear mixed model approach to account for individual differences, we detected a small but significant reduction in the achondroplasia phenotype score over the course of vosoritide treatment. Conclusion: Our findings indicate that vosoritide treatment leads to a measurable improvement in facial phenotype in achondroplasia, highlighting its potential utility beyond enhancing linear growth. We discuss the role of pathway-disrupting medications, such as vosoritide, in addressing the broader spectrum of medical issues experienced by children with achondroplasia.
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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 | 0.000 | 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".