High-Resolution Cone-Beam Tomography for Assessing Angiogenesis in Jawbone Regeneration Models
Sibylle Vital1,2,3, Gaël Sylvain1,2,3, Benjamin Salmon1,2,4,5
1Université Paris Cite and Sorbonne Paris Nord, Montrouge, France.
High-resolution cone-beam computed tomography subtraction angiography (HR-CBCT-SA) offers a noninvasive method to monitor jawbone regeneration by assessing angiogenesis. This technique successfully tracked vascular remodeling in preclinical models, showing promise for future clinical applications.
Area of Science:
- Biomedical Engineering
- Regenerative Medicine
- Oral and Maxillofacial Surgery
Background:
- Orofacial bone defects require effective regeneration strategies.
- Angiogenesis is critical for successful osteogenesis and bone repair.
- Noninvasive monitoring methods are needed for preclinical research in bone tissue engineering.
Purpose of the Study:
- To introduce and evaluate high-resolution cone-beam computed tomography subtraction angiography (HR-CBCT-SA) for monitoring angiogenesis in jawbone regeneration.
- To assess the reliability of HR-CBCT-SA in tracking vascular remodeling in a preclinical large animal model.
- To establish HR-CBCT-SA as a nondestructive tool for translational research in orofacial bone tissue engineering.
Main Methods:
- Surgically created jawbone defects in Yucatan minipigs were monitored over 90 days using HR-CBCT-SA.
- Morphometric analysis of vascular parameters (vessel number, node count, radius, length) was performed.
- CBCT-SA findings were validated against histological morphometry.
Main Results:
- HR-CBCT-SA successfully visualized vascular dynamics during jawbone healing and regeneration.
- Early stages showed increased vessel formation (neoangiogenesis), followed by vessel maturation and stabilization.
- Extrabony vascular networks exhibited more significant changes than intrabony vessels, highlighting the periosteum's role.
Conclusions:
- HR-CBCT-SA is a reliable, nondestructive imaging technique for assessing vascular changes during jawbone regeneration in preclinical settings.
- The method demonstrates significant translational potential for clinical applications in bone regeneration.
- Future advancements, including AI, may further enhance the sensitivity and accuracy of vascular assessment.
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