Texture analysis in cone-beam computed tomographic images of medication-related osteonecrosis of the jaw

Polyane Mazucatto Queiroz1,2, Karolina Castilho Fardim2, André Luiz Ferreira Costa3

  • 1Department of Dentistry, Ingá University Center, Maringá, Brazil.

PubMed
Abstract

Insights

Texture analysis of jawbone in medication-related osteonecrosis (MRONJ) revealed significant bone pattern changes. This technique accurately identifies necrotic tissue, improving the diagnosis of MRONJ extension.

Area of Science:

  • Oral and Maxillofacial Radiology
  • Biomedical Engineering
  • Dental Imaging

Background:

  • Medication-related osteonecrosis of the jaw (MRONJ) is a serious condition affecting bone health.
  • Accurate assessment of MRONJ extent is crucial for effective treatment planning.
  • Trabecular bone changes in MRONJ are not fully understood.

Purpose of the Study:

  • To evaluate trabecular bone changes in patients with MRONJ using texture analysis.
  • To compare texture characteristics across active osteonecrosis, intermediate, and healthy bone tissue areas.

Main Methods:

  • Cone-beam computed tomography (CBCT) images from 16 MRONJ patients were analyzed.
  • Texture analysis was applied to three regions: active osteonecrosis (AO), intermediate tissue (IT), and healthy tissue (HT).
  • Seven texture parameters were evaluated, and data were statistically analyzed using the Kruskal-Wallis test.

Main Results:

  • Significant differences (P<0.05) in texture parameters were found between AO, IT, and HT areas.
  • The IT and AO areas exhibited higher contrast, entropy, and secondary angular momentum compared to HT.
  • These findings indicate increased tissue disorder in areas affected by MRONJ.

Conclusions:

  • Texture analysis effectively detects alterations in the trabecular bone pattern associated with MRONJ.
  • This imaging technique can identify necrotic tissue in areas visually appearing as intermediate, enhancing MRONJ extent delimitation.
  • Texture analysis offers a valuable tool for improving the diagnostic accuracy of MRONJ.