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Investigating hyperostosis frontalis interna: a computed tomography analysis and predictive model for Hershkovitz

Raza Mushtaq1, Anish Bhandari2, Srinivasan Vedantham2,3

  • 1Department of Neuroradiology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, USA.

Acta Radiologica (Stockholm, Sweden : 1987)
|February 4, 2025
PubMed
Summary
This summary is machine-generated.

This study reveals that axial CT scans can classify hyperostosis frontalis interna (HFI) using the Hershkovitz classification. Increased HFI thickness and presence of hyperostosis beyond the frontal bone are linked to higher classifications, while greater density indicates a lower classification.

Keywords:
Hershkovitz classificationMorgagni-Stewart-Morel syndromehyperostosis frontalis interna

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Area of Science:

  • Radiology
  • Medical Imaging
  • Skeletal Biology

Background:

  • Axial computed tomography (CT) provides a valuable tool for evaluating various pathologies.
  • Hyperostosis frontalis interna (HFI) is a condition characterized by thickening of the inner table of the frontal bone.
  • The Hershkovitz classification system offers a framework for categorizing HFI severity.

Purpose of the Study:

  • To characterize HFI on axial CT using the Hershkovitz classification.
  • To investigate the correlation between HFI density and the Hershkovitz classification.
  • To assess the relationship between HFI thickness, hyperostosis beyond the frontal bone (HBFB), and the Hershkovitz classification.

Main Methods:

  • Retrospective analysis of axial CT scans from 77 patients with HFI.
  • Assignment of Hershkovitz classification to each HFI case.
  • Evaluation and correlation of HFI density, thickness, and presence of HBFB with the Hershkovitz classification.

Main Results:

  • HFI thickness positively correlated with higher Hershkovitz classifications (OR=1.863).
  • HFI density negatively correlated with higher Hershkovitz classifications (OR=0.995).
  • The presence of concurrent HBFB was strongly associated with higher Hershkovitz classifications (OR=31.694).

Conclusions:

  • The Hershkovitz classification on axial CT is associated with HFI thickness and the presence of HBFB.
  • Lower HFI density correlates with higher Hershkovitz classifications.
  • CT imaging provides a robust method for HFI assessment and classification.