J Korean Soc Radiol.  2011 May;64(5):481-489. 10.3348/jksr.2011.64.5.481.

Measurement of Trabecular Bone Parameters in Porcine Vertebral Bodies Using Multidetector CT: Evaluation of Reproducibility of 3-Dimensional CT Histomorphometry

  • 1Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Korea. drhong@snu.ac.kr
  • 2Department of Radiology, National Cancer Center, Korea.
  • 3Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Korea.
  • 4Department of Biomedical Engineering, Division of Basic and Applied Sciences, National Cancer Center, Korea.


To evaluate the reproducibility of 3-dimensional histomorphometry for the microarchitecture analysis of trabecular bone parameters using multidetector computed tomography (MDCT).
Thirty-six specimens from porcine vertebral bodies were imaged five times with a 64-detector row MDCT system using the same scan protocols. Locations of the specimens were nearly identical through the scans. Three-dimensional structural parameters of trabecular bone were derived from the five data sets using image analyzing software. The features measured by the analysis programs were trabecular bone volume, trabecular bone volume/tissue volume, trabecular thickness, trabecular separation, trabecular number, trabecular bone pattern factor, structural model index.
The structural trabecular parameters showed excellent reproducibility through repeated scanning. Intraclass correlation coefficients of all seven structural parameters were in the range of 0.998 to 1.000. Coefficients of variation of the six structural parameters, excluding structural model index, were not over 1.6%.
The measurement of the trabecular structural parameters using multidetector CT and three-dimensional histomophometry analysis program was validated and showed excellent reproducibility. This method could be used as a noninvasive and easily available test in a clinical setting.

MeSH Terms

Models, Structural
Multidetector Computed Tomography
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