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The face in marfan syndrome: A 3D quantitative approach for a better definition of dysmorphic features
Claudia Dolci1, Valentina Pucciarelli1, Daniele M Gibelli1
1Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy.
Abstract:
Marfan syndrome (MFS) is a rare hereditable disorder of connective tissue caused by mutations in the fibrillin-1 gene FBN1. Timely diagnosis of MFS is essential to prevent life-threatening cardiovascular complications; nevertheless it can be difficult owing to the phenotypic variability of the syndrome. No clear quantitative definition of facial abnormalities associated with MFS is available. The aim of this study was to improve the definition of the facial phenotype associated with MFS and to verify the usefulness of a 3D noninvasive quantitative approach for its early recognition. 3D facial images of 61 Italian subjects with MFS, aged 16-64 years (21 males, 38 ± 15 years; 40 females, 41 ± 13 years) were obtained by stereophotogrammetry. From the coordinates of 17 soft-tissue facial landmarks, linear distances and angles were computed; z score values were calculated to compare patients with healthy reference subjects (400 males, 379 females) matched for sex and age. Student's t test was used for statistical comparisons. All subjects with MFS showed greater facial divergence (P < 0.001; mean z score +1.9) and a lower facial height index (P < 0.001; mean z score -1.9) than reference subjects, both values being influenced by a shorter mandibular ramus (P < 0.001; mean z score -1.9) and a mild but significant increase in facial height (P < 0.001; mean z score +1.2). Palpebral down-slanting was found in 85% of MFS subjects. There were no sex differences. Quantitative abnormalities identified in this study enrich information about the facial dysmorphism in MFS and confirm its usefulness for early recognition of the disease. Clin. Anat. 31:380-386, 2018. © 2017 Wiley Periodicals, Inc.
Insights
Marfan syndrome (MFS) diagnosis is improved by a new 3D facial analysis. This quantitative approach identifies specific facial abnormalities, aiding early recognition and preventing severe cardiovascular issues in MFS patients.
Area of Science:
- Medical Genetics
- Anthropology
- Biotechnology
Background:
- Marfan syndrome (MFS) is a rare genetic connective tissue disorder caused by FBN1 gene mutations.
- Early diagnosis of MFS is crucial for preventing life-threatening cardiovascular complications.
- Phenotypic variability in MFS often complicates diagnosis, with no standardized definition for facial abnormalities.
Purpose of the Study:
- To refine the definition of the facial phenotype associated with Marfan syndrome.
- To evaluate the efficacy of a 3D noninvasive quantitative approach for early MFS recognition.
Main Methods:
- Acquired 3D facial images of 61 Italian MFS subjects (aged 16-64) using stereophotogrammetry.
- Computed linear distances and angles from 17 soft-tissue facial landmarks.
- Calculated z-scores to compare MFS patients with 779 healthy controls matched for sex and age.
Main Results:
- MFS subjects exhibited significantly greater facial divergence (mean z=+1.9) and lower facial height index (mean z=-1.9) compared to controls.
- These differences were linked to a shorter mandibular ramus (mean z=-1.9) and increased facial height (mean z=+1.2).
- Down-slanting palpebral fissures were observed in 85% of MFS patients; no sex differences were noted.
Conclusions:
- Quantitative facial abnormalities identified in this study enhance the understanding of MFS dysmorphism.
- The 3D quantitative approach proves useful for the early recognition of Marfan syndrome.
- This method aids in identifying MFS patients who may be at risk for cardiovascular complications.
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