Binary nature and radiographic identifiability of craniosynostosis

Invest Radiol. 1994 Oct;29(10):890-6. doi: 10.1097/00004424-199410000-00005.

Abstract

Rationale and objectives: Two independent gold standards and diagnoses from three-dimensional computed tomography (CT) images were used to examine the possibility that craniosynostosis is a binary abnormality that potentially may be diagnosed without error.

Methods: Surgical reports, histology of excised sutures, and three-dimensional CT images were compared for 25 children undergoing surgical management of craniosynostosis. Surgical reports identified sutures as normal or abnormal. Histology reported suture closure on a 5-point scale. Four radiologists used three-dimensional CT images to diagnose sutures on a 6-point rated response scale.

Results: Sutures with histology 0, 1, or 2 were normal on surgical reports, and those with histology 3 or 4 were abnormal. Most readers achieved nearly perfect sensitivity and specificity. Reader confidence was unrelated to degree of pathology.

Conclusion: Craniosynostosis appears to be binary in our sample. Surgical reports, pathology results, and three-dimensional CT images read by experienced viewers achieved nearly perfect agreement.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Cranial Sutures / abnormalities
  • Cranial Sutures / diagnostic imaging
  • Cranial Sutures / pathology
  • Craniosynostoses / diagnostic imaging*
  • Craniosynostoses / pathology
  • Craniosynostoses / surgery
  • Craniotomy
  • Female
  • Humans
  • Image Processing, Computer-Assisted
  • Infant
  • Male
  • Medical Records
  • Observer Variation
  • Occipital Bone / abnormalities
  • Occipital Bone / diagnostic imaging
  • Occipital Bone / pathology
  • Parietal Bone / abnormalities
  • Parietal Bone / diagnostic imaging
  • Parietal Bone / pathology
  • Prospective Studies
  • Radiographic Image Enhancement / methods
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed / methods*