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Machine Learning in Metopic Craniosynostosis: Does Phenotypic Severity Predict Long-Term Esthetic Outcome?

  • Jessica D. Blum
  • , Justin Beiriger
  • , Dillan F. Villavisanis
  • , Carrie Morales
  • , Daniel Y. Cho
  • , Wenzheng Tao
  • , Ross Whitaker
  • , Scott P. Bartlett
  • , Jesse A. Taylor
  • , Jesse A. Goldstein
  • , Jordan W. Swanson

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Background: There have been few longitudinal studies assessing the effect of preoperative phenotypic severity on long-term esthetic outcomes in metopic craniosynostosis. This study evaluates the relationship between metopic severity and long-term esthetic outcomes using interfrontal angle (IFA) and CranioRate, a novel metopic synostosis severity measure. Methods: Patients with metopic craniosynostosis who underwent bifrontal orbital advancement and remodeling between 2012 and 2017 were reviewed. Preoperative computed tomography head scans were analyzed for IFA and CranioRate, a machine learning algorithm which generates quantitative severity ratings including metopic severity score (MSS) and cranial morphology deviation (CMD). Long-term esthetic outcomes were assessed by craniofacial surgeons using blinded 3-rater esthetic grading of clinical photos. Raters assessed Whitaker score and the presence of temporal hollowing, lateral orbital retrusion, frontal bone irregularities and/or "any visible irregularities."Results: Preoperative scans were performed at a mean age of 7.7±3.4 months, with average MSS of 6/10, CMD of 200/300, and IFA of 116.8±13.8 degrees. Patients underwent bifrontal orbital advancement and remodeling at mean 9.9±3.1 months. The average time from operation to esthetic assessment was 5.4±1.0 years. Pearson correlation revealed a significant negative correlation between MSS and age at computed tomography (r=-0.451, P=0.004) and IFA (r=-0.371, P=0.034) and between IFA and age at surgery (r=-0.383, P=0.018). In multinomial logistic regression, preoperative MSS was the only independent predictor of visible irregularities (odds ratio=2.18, B=0.780, P=0.024) and preoperative IFA alone significantly predicted Whitaker score, with more acute IFA predicting worse Whitaker score (odds ratio=0.928, B=-0.074, P=0.928). Conclusions: More severe preoperative phenotypes of metopic craniosynostosis were associated with worse esthetic dysmorphology. Objective measures of preoperative metopic severity predicted long-term esthetic outcomes.

Original languageEnglish
Pages (from-to)58-64
Number of pages7
JournalJournal of Craniofacial Surgery
Volume34
Issue number1
DOIs
StatePublished - 1 Jan 2023
Externally publishedYes

Keywords

  • 3-dimensional
  • Classification
  • craniosynostosis
  • diagnostic imaging
  • imaging
  • severity of illness index

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