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Nelson BIOS Undergrad Honors Thesis.pdf (3.45 MB)

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Predictions of Radius Bending Strength by Radius Stiffness, Mineral, and Ulna Mechanical Properties

Nelson, McKenzie Louise
http://rave.ohiolink.edu/etdc/view?acc_num=ouashonors1492615282195033

Abstract Details

2017, Bachelor of Sciences, Ohio University, Biological Sciences.
Osteoporosis is a systemic, skeletal disease characterized by decreased bone strength that predisposes individuals to an increased risk of fracture. Unfortunately, there is no clinical device able to measure bone strength. Instead, osteoporosis is diagnosed on the basis of bone mineral density (BMD) as measured by dual-energy X-ray absorptiometry (DXA). However, research has shown that BMD does not predict fractures well. Bone strength has been shown to be predicted accurately by bone stiffness (EI), but no clinical device measures bone stiffness either. Ohio University is developing Mechanical Response Tissue Analysis (MRTA) to measure EI of the human ulna in vivo. Accurate predictions of ulna bending strength are of limited clinical importance, however, unless the ulna is representative of other long bones. The radius is of further clinical importance because a fracture of the radius often precedes and could predict fractures at more serious sites such as the hip. This project used cadaveric radius specimens, of which the ipsilateral ulna was previously tested, to determine the accuracy with which radius bending strength was predicted by various predictors from both mechanical testing of the radius and ulna and DXA measurements of the radius. Mechanical testing methods included MRTA of the ulna in vivo and quasistatic mechanical testing (QMT) of the ulna and radius ex vivo. DXA measurements included scans of the standard UD and 1/3 sites of the radius. Linear regression analyses revealed that ulna EI measured by MRTA is a more accurate predictor of radius bending strength than BMD measurements, but is not the most accurate predictor. Radius EI and BMC at the 1/3 site were the most accurate predictors of radius bending strength, though not significantly different from each other. The most accurate predictor of radius EI was BMC at the 1/3 site.
Anne Loucks, Ph.D (Advisor)
Lyn Bowman, Engr (Other)
94 p.
Anatomy and Physiology; Biomechanics; Medical Imaging
bending strength; stiffness; MRTA; radius bone; DXA; human; QMT; fracture; ulna bone; BMC; BMD; osteoporosis

Recommended Citations

Citations

  • Nelson, M. L. (2017). Predictions of Radius Bending Strength by Radius Stiffness, Mineral, and Ulna Mechanical Properties [Undergraduate thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ouashonors1492615282195033

    APA Style (7th edition)

  • Nelson, McKenzie. Predictions of Radius Bending Strength by Radius Stiffness, Mineral, and Ulna Mechanical Properties. 2017. Ohio University, Undergraduate thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ouashonors1492615282195033.

    MLA Style (8th edition)

  • Nelson, McKenzie. "Predictions of Radius Bending Strength by Radius Stiffness, Mineral, and Ulna Mechanical Properties." Undergraduate thesis, Ohio University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ouashonors1492615282195033

    Chicago Manual of Style (17th edition)

ouashonors1492615282195033
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© 2017, all rights reserved.
This open access ETD is published by Ohio University Art and Sciences Honors Theses and OhioLINK.