Detection of bone invasion by gingival carcinoma of the mandible: a comparison of intraoral and panoramic radiography and computed tomography

Dentomaxillofac Radiol. 1999 Nov;28(6):351-6. doi: 10.1038/sj/dmfr/4600480.

Abstract

Objective: To assess the diagnostic accuracy of panoramic radiography (PR), panoramic radiography combined with intraoral radiography (PR+IR), and CT in detecting the supero-inferior extent of tumor invasion of the mandible by gingival carcinoma.

Method: PR, PR+IR, and CT images of the mandible in 37 patients with gingival carcinoma were evaluated by five oral radiologists for the supero-inferior extent of bone invasion using ROC analysis. The mean ROC curve area (Az) of each observer for the different imaging modalities was analysed by nonparametric two-way ANOVA. P<0.05 was considered statistically significant.

Results: The mean Az for the detection of bone invasion were 0.88+/-0.03 for PR, 0.77+/-0.12 for PR+IR, and 0.87+/-0.03 for CT (P=0.0907). The mean Az for the detection of bone invasion beyond the alveolus was 0.89+/-0.07 for PR, 0.85+/-0.08 for PR+IR, and 0.83+/-0.06 for CT (P=0.5438). The mean Az for the detection of bone invasion beneath the mandibular canal were 0.94+/-0.04 for PR, 0.94+/-0.02 for PR+IR, and 0.91+/-0. 04 for CT (P=0.2466). No statistically significant differences were observed in Az between PR, PR+IR, and CT.

Conclusion: We consider that PR+IR should be adopted as the initial imaging modality to determine the extent of supero-inferior invasion of the mandible in gingival carcinoma.

Publication types

  • Clinical Trial
  • Comparative Study
  • Controlled Clinical Trial

MeSH terms

  • Analysis of Variance
  • Carcinoma, Squamous Cell / diagnostic imaging
  • Carcinoma, Squamous Cell / pathology*
  • Gingival Neoplasms / pathology*
  • Humans
  • Mandibular Neoplasms / diagnostic imaging*
  • Mandibular Neoplasms / pathology*
  • Neoplasm Invasiveness / diagnostic imaging*
  • Photography, Dental
  • ROC Curve
  • Radiography, Panoramic
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Statistics, Nonparametric
  • Tomography, X-Ray Computed