Date: December 2025.
Source: Face, Volume 6, Issue 4, https://doi.org/10.1177/27325016251357965.
Objective: Multi-suture craniosynostosis is a complex craniofacial anomaly frequently associated with syndromic diagnoses and significant neurologic morbidity. While craniosynostosis has been described in association with fibroblast growth factor receptor (FGFR) and TWIST gene mutations, its association with Russell-Silver syndrome (RSS) has not been previously reported.
Materials and Methods: We present the case of a medically complex infant with multi-suture craniosynostosis, hydrocephalus, and confirmed genetic diagnoses of RSS and chromosome 2q37 deletion. Her perioperative course was complicated by respiratory insufficiency, 2 cardiac arrests, Pseudomonas meningitis, myoclonic seizures, and repeated cerebrospinal fluid (CSF) diversion procedures. Cranial expansion was ultimately achieved through open strip craniectomies and spring-mediated cranioplasty.
Results: After initial stabilization and placement of a ventriculoperitoneal shunt, cranial expansion via spring-mediated strip craniectomies was performed at 9 months of age. Despite high anesthetic risk, the patient tolerated the procedure well. Postoperatively, she experienced transient seizure exacerbation and minor scalp complications. Springs were electively removed at 3 months. Head shape and intracranial volume improved, as demonstrated by 3D photogrammetry and morphometric modeling.
Conclusions: This is the first reported case of multi-suture craniosynostosis in a child with RSS and 2q37 deletion. Careful multidisciplinary coordination enabled safe surgical intervention despite significant comorbidities. This case underscores the need to individualize craniosynostosis treatment strategies for syndromic patients with limited physiologic reserve.
Article: Multi-Suture Craniosynostosis in Russell-Silver Syndrome: A Rare Clinical Entity.
Authors: Diego A Gomez, Skyler K Palmer, Connor Elkhill, Antonio R Porras, Omar Abdul-Rahman, Brooke French, David Y Khechoyan, Corbett Wilkinson, Phuong D Nguyen. Children’s Hospital Colorado, Aurora, CO, USA.

Related Articles:

  1. Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry. C Elkhill, J Liu, MG Linguraru, S LeBeau, D Khechoyan, B French, AR Porras.
  2. SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis. C Görg, C Elkhill, J Chaij, K Royalty, PD Nguyen, B French, AC Guerrero, AR Porras.
  3. Graph Convolutional Network with Probabilistic Spatial Regression: Application to Craniofacial Landmark Detection from 3D Photogrammetry. C Elkhill, S LeBeau, B French, AR Porras.
  4. A generative model with domain adversarial training and independent conditional discriminators to predict the development of craniosynostosis. C Elkhill, IA Cruz-Guerrero, MG Linguraru, B French, AR Porras.