Identifying and classifying hyperostosis frontalis interna via computerized tomography

Hila May, Nathan Peled, Gali Dar, Ori Hay, Janan Abbas, Youssef Masharawi, Israel Hershkovitz

Research output: Contribution to journalArticlepeer-review

Abstract

The aim of this study was to recognize the radiological characteristics of hyperostosis frontalis interna (HFI) and to establish a valid and reliable method for its identification and classification. A reliability test was carried out on 27 individuals who had undergone a head computerized tomography (CT) scan. Intra-observer reliability was obtained by examining the images three times, by the same researcher, with a 2-week interval between each sample ranking. The inter-observer test was performed by three independent researchers. A validity test was carried out using two methods for identifying and classifying HFI: 46 cadaver skullcaps were ranked twice via computerized tomography scans and then by direct observation. Reliability and validity were calculated using Kappa test (SPSS 15.0). Reliability tests of ranking HFI via CT scans demonstrated good results (K > 0.7). As for validity, a very good consensus was obtained between the CT and direct observation, when moderate and advanced types of HFI were present (K = 0.82). The suggested classification method for HFI, using CT, demonstrated a sensitivity of 84%, specificity of 90.5%, and positive predictive value of 91.3%. In conclusion, volume rendering is a reliable and valid tool for identifying HFI. The suggested three-scale classification is most suitable for radiological diagnosis of the phenomena. Considering the increasing awareness of HFI as an early indicator of a developing malady, this study may assist radiologists in identifying and classifying the phenomena.

Original languageEnglish
Pages (from-to)2007-2011
Number of pages5
JournalAnatomical Record
Volume293
Issue number12
DOIs
StatePublished - Dec 2010

Keywords

  • CT
  • HFI categorization
  • Hyperostosis frontalis interna
  • Skull
  • Volume rendering

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Biotechnology
  • Anatomy
  • Histology

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