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Three-dimensional quantitation of periradicular bone destruction by micro-computed tomography
Dietrich von Stechow1, Khaled Balto, Philip Stashenko
1Orthopedic Biomechanics Laboratory, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA.
Journal of Endodontics
|April 19, 2003
Summary
Three-dimensional micro-computed tomography accurately quantifies periradicular bone resorption in mice, correlating well with 2D histology measurements. This advanced imaging offers detailed microstructural analysis for enhanced research.
Area of Science:
- Oral biology
- Biomedical imaging
- Periodontology
Background:
- Two-dimensional (2D) micro-computed tomography (micro-CT) is a validated, noninvasive method for assessing periradicular bone resorption in mice.
- Histology provides a gold standard for bone resorption measurement but is invasive and time-consuming.
Purpose of the Study:
- To evaluate the feasibility of three-dimensional (3D) volumetric quantitation of periradicular bone resorption using micro-CT.
- To determine the correlation between 3D micro-CT measurements and traditional 2D histological assessments.
Main Methods:
- Periradicular lesions were induced in mouse molars via pulp exposure and infection.
- Mandibles were analyzed using 3D micro-CT imaging and conventional histology at 21 days post-induction.
- A semiautomatic contouring algorithm was employed to quantify 3D void volume, surface, thickness, and thickness distribution.
Main Results:
- A significant correlation was found between 3D lesion void volume and 2D histological lesion area (r² = 0.73).
- High correlations were observed between void volume and void thickness (r² = 0.86) and standard deviation of void thickness (r² = 0.87).
- Void surface measurements did not correlate with lesion size.
Conclusions:
- 3D micro-CT analysis provides a reliable and highly correlated method for quantifying periradicular bone resorption compared to 2D histology.
- 3D micro-CT enables the assessment of microstructural features and sub-regional analysis of lesion development, offering advantages over 2D methods.