Refining the mandibular osteoradionecrosis rat model by in vivo longitudinal µCT analysis

Sci Rep. 2021 Nov 15;11(1):22241. doi: 10.1038/s41598-021-01229-y.

Abstract

Osteoradionecrosis (ORN) is one of the most feared side effects of radiotherapy following cancers of the upper aero-digestive tract and leading to severe functional defects in patients. Today, our lack of knowledge about the physiopathology restricts the development of new treatments. In this study, we refined the ORN rat model and quantitatively studied the progression of the disease. We tested the impact of radiation doses from 20 to 40 Gy, delivered with incident 4MV X-ray beams on the left mandible of the inbred Lewis Rat. We used micro-computed tomography (µCT) to obtain in vivo images for longitudinal bone imaging and ex vivo images after animal perfusion with barium sulphate contrast agent for vessel imaging. We compared quantification methods by analyzing 3D images and 2D measurements to determine the most appropriate and precise method according to the degree of damage. We defined 25 Gy as the minimum irradiation dose combined with the median molar extraction necessary to develop non-regenerative bone necrosis. µCT image analyses were correlated with clinical and histological analyses. This refined model and accurate methods for bone and vessel quantification will improve our knowledge of the progression of ORN pathology and allow us to test the efficacy of new regenerative medicine procedures.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biopsy
  • Disease Models, Animal
  • Image Processing, Computer-Assisted
  • Imaging, Three-Dimensional
  • Immunohistochemistry
  • Mandible / diagnostic imaging*
  • Mandible / pathology*
  • Mandible / radiation effects
  • Osteoradionecrosis / diagnostic imaging*
  • Osteoradionecrosis / etiology
  • Osteoradionecrosis / pathology*
  • Radiation Dosage
  • Radiation Injuries, Experimental
  • Radiographic Image Enhancement
  • Rats
  • X-Ray Microtomography* / methods