Texture analysis of mandibular cortical bone on digital dental panoramic radiographs for the diagnosis of osteoporosis in Korean women

Oral Surg Oral Med Oral Pathol Oral Radiol. 2015 Mar;119(3):346-56. doi: 10.1016/j.oooo.2014.11.009. Epub 2014 Dec 5.

Abstract

Objective: To determine whether individual measurements or a combination of textural features and mandibular cortical width (MCW) derived from digital dental panoramic radiographs (DPRs) are more useful in assessment of osteoporosis.

Study design: Textural features were obtained by using fractal dimension (FD) and gray-level co-occurrence matrix (GLCM). Digital DPRs and bone mineral densities (BMDs) of the lumbar spine and the femoral neck were obtained from 141 female patients. A naïve Bayes classifier, a k-nearest neighbor (k-NN) algorithm, and a support vector machine were assessed for classifying osteoporosis.

Results: The combinations of FD plus MCW (95.3%, 92.1%, 96.8%) and GLCM plus MCW (93.7%, 89.5%, 94.2%) for femoral neck BMD showed the highest diagnostic accuracy with the use of the naïve Bayes, k-NN, and support vector machine classifiers, respectively.

Conclusions: The combination of textural features and MCW contributed a better assessment of osteoporosis compared with the use of only individual measurements.

MeSH terms

  • Absorptiometry, Photon
  • Aged
  • Bayes Theorem
  • Bone Density
  • Female
  • Femur Neck / diagnostic imaging
  • Femur Neck / pathology
  • Fractals
  • Humans
  • Lumbar Vertebrae / diagnostic imaging
  • Lumbar Vertebrae / pathology
  • Mandible / diagnostic imaging*
  • Mandible / pathology
  • Middle Aged
  • Osteoporosis, Postmenopausal / diagnostic imaging*
  • Osteoporosis, Postmenopausal / pathology
  • Radiography, Dental, Digital
  • Radiography, Panoramic
  • Republic of Korea
  • Support Vector Machine