Identification of ultrasound imaging markers to quantify long bone regeneration in a segmental tibial defect sheep model in vivo

Songyuan Tang, Peer Shajudeen, Ennio Tasciotti, Raffaella Righetti

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The healing of large bone defects has been investigated for decades due to its complexity and clinical relevance. Ultrasound (US) methods have shown promise in monitoring bone healing, but no quantitative method to assess regenerated bone morphology in US images has been presented yet. In this study, we investigate new US morphometric parameters to quantify bone regeneration in vivo. A segmental tibial defect was surgically created and stabilized in a sheep animal model. US and computed tomography (CT) imaging data were collected two months post-surgery. New bone was assessed, reconstructed and quantified from the US and CT data using 3 morphometric parameters: the new-bone bulk (NBB), new-bone surface (NBS) and new-bone contact (NBC). The distance (mm) between surface reconstructions from repeated US was 0.49 ± 0.30 and from US and CT was 0.89 ± 0.49. In the mid-shaft of the defected tibia, US measurements of NBB, NBS and NBC were significantly higher than the corresponding CT measurements (p< 0.001). Based on our results, we conclude that US may complement CT to reconstruct and quantify bone regrowth, especially in its early stages.

Original languageEnglish (US)
Article number13646
Pages (from-to)13646
JournalScientific Reports
Volume10
Issue number1
DOIs
StatePublished - Aug 12 2020

Keywords

  • Animals
  • Bone Regeneration
  • Bone and Bones/cytology
  • Disease Models, Animal
  • Female
  • Sheep
  • Tibia/diagnostic imaging
  • Tibial Fractures/surgery
  • Tomography, X-Ray Computed
  • Ultrasonography/methods
  • Wound Healing

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Identification of ultrasound imaging markers to quantify long bone regeneration in a segmental tibial defect sheep model in vivo'. Together they form a unique fingerprint.

Cite this