A comparison of 2 patient populations using fractal analysis

J Periodontol. 1998 Jan;69(1):9-13. doi: 10.1902/jop.1998.69.1.9.

Abstract

This study was undertaken to demonstrate that the fractal dimensions calculated using digitized non-standardized, clinical radiographs of mandibular alveolar bone from a population of patients diagnosed with periodontitis are statistically different from fractal dimensions calculated from another population diagnosed as having gingivitis or healthy gingiva. The fractal dimension was calculated using a public domain fractal analysis program distributed by the National Institutes of Health (NIH). Fractal dimensions were calculated from digitized clinical radiographs for 29 patients diagnosed with healthy gingiva and/or gingivitis and 32 patients diagnosed with periodontitis and compared. To estimate the reproducibility of the technique, we recalculated the fractal dimension from images of the gingivitis patients 3 months after the original calculations and compared them to the originals. A 2 sample, 2-tailed Student t test showed the gingivitis data group to be different from the periodontitis data group (P = 0.0012). The original gingivitis and repeat gingivitis groups fractal dimension calculation were the same and analysis showed the two data sets were not significantly different (P = 0.99). We found that: 1) fractal dimensions could be used to distinguish between gingivitis and periodontitis patient groups; 2) fractal dimensions could be calculated from non-standardized clinical radiographs; and 3) fractal dimensions for gingivitis patients were reproducible over a 3-month period.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Alveolar Process / diagnostic imaging*
  • Female
  • Follow-Up Studies
  • Fractals*
  • Gingiva / diagnostic imaging*
  • Gingivitis / diagnostic imaging*
  • Humans
  • Image Processing, Computer-Assisted
  • Male
  • National Institutes of Health (U.S.)
  • Periodontal Pocket / diagnostic imaging
  • Periodontitis / diagnostic imaging*
  • Public Sector
  • Radiography, Dental, Digital
  • Reproducibility of Results
  • United States