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Noninvasive Imaging Predicts Failure Load of the Spine with Simulated Osteolytic Defects*† by Kelli M. Whealan, S. Daniel Kwak, John R. Tedrow, Kaoru Inoue, and Brian D. Snyder J Bone Joint Surg Am Volume 82(9): September 1, 2000 ©2000 by The Journal of Bone and Joint Surgery, Inc.
Computed tomography images showing the locations of the simulated defects. Kelli M. Whealan et al. J Bone Joint Surg Am 2000;82:1240 ©2000 by The Journal of Bone and Joint Surgery, Inc.
Pixel-mapping algorithms. x¯, y¯ are the coordinates of the modulus-weighted centroid, and da represents a single pixel with dimensions determined by the resolution of the computed tomography image. Kelli M. Whealan et al. J Bone Joint Surg Am 2000;82:1240 ©2000 by The Journal of Bone and Joint Surgery, Inc.
Dual-energy x-ray absorptiometry cross-sectional attenuation profile. Kelli M. Whealan et al. J Bone Joint Surg Am 2000;82:1240 ©2000 by The Journal of Bone and Joint Surgery, Inc.
Illustration of the hydraulic spine testing system39. Kelli M. Whealan et al. J Bone Joint Surg Am 2000;82:1240 ©2000 by The Journal of Bone and Joint Surgery, Inc.
The slope of the regression line for the correlation between the quantitative computed tomography (QCT)-predicted and the measured failure loads (Fz) was dependent on defect location (p = 0.023). Kelli M. Whealan et al. J Bone Joint Surg Am 2000;82:1240 ©2000 by The Journal of Bone and Joint Surgery, Inc.
Concordance of predicted failure load by quantitative computed tomography (QCT) and measured failure load (Fz) about the y = x line (rc = 0.74). Kelli M. Whealan et al. J Bone Joint Surg Am 2000;82:1240 ©2000 by The Journal of Bone and Joint Surgery, Inc.
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