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HTC_THESIS_ENSMINGER.pdf (12.75 MB)
ETD Abstract Container
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Prediction of Radial Bending Strength by Cortical Porosity and Diameter
Author Info
Ensminger, Alyssa M
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors149278795178393
Abstract Details
Year and Degree
2017, Bachelor of Science (BS), Ohio University, Biological Sciences.
Abstract
Osteoporosis is a disease characterized by diminished bone strength, resulting in an increased risk for fracture with minimal trauma. Though osteoporotic fractures present severe consequences for patients and health communities alike, there remains to be an accurate diagnosis for this disease. There are many characteristics that influence bone strength, ranging from mechanical, microstructural, to geometrical in nature. This project specifically aimed to assess cortical porosity, diameter, and bending stiffness as predictors of bending strength in the human radius. Data was collected from thirty cadaveric human radii from men and women between the ages of 17-99 years. Bending strength and bending stiffness were measured by the gold standard three-point bending method, quasi-static mechanical testing (QMT). Interosseous diameter was measured from both higher resolution µCT and lower resolution CT scans. Finally, cortical porosity was measured from µCT scans in the NIH image-processing software ImageJ. These measurements were guided by 3D Avizo models. Simple linear regression analyses revealed that bending stiffness predicted bending strength with the least amount of uncertainty (SEE=3.2 Nm). Cortical porosity demonstrated the weakest relationship with bending strength (SEE=12.0 Nm). Predictions of bending strength by µCT diameter were not different from those made by CT diameter (p=0.37). In comparisons of cortical porosity in the radius and ulna as imaged from the same arms, porosity at the 55%L of the ulna was the only unbiased predictor of radius porosity adjacent to the QMT fracture site (p=0.12). Thus, at the midshaft, cortical porosity of the ulna and radius appear to be indistinguishable.
Committee
Anne B Loucks, PhD (Advisor)
Pages
118 p.
Subject Headings
Anatomy and Physiology
;
Biology
;
Cellular Biology
;
Endocrinology
;
Kinesiology
;
Medical Imaging
;
Molecular Biology
;
Morphology
;
Physiology
Keywords
Radial Bending Strength
;
Cortical Porosity
;
Interosseous Diameter
;
Osteoporosis
;
Bone Loss
;
Bone Physiology
;
Bone Remodeling
;
Bone Strength
;
Human Radius
;
Bone Geometry
;
Bending Stiffness
;
3D micro-CT Model
;
Radius versus Ulna Porosity
Recommended Citations
Refworks
EndNote
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Citations
Ensminger, A. M. (2017).
Prediction of Radial Bending Strength by Cortical Porosity and Diameter
[Undergraduate thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors149278795178393
APA Style (7th edition)
Ensminger, Alyssa.
Prediction of Radial Bending Strength by Cortical Porosity and Diameter.
2017. Ohio University, Undergraduate thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors149278795178393.
MLA Style (8th edition)
Ensminger, Alyssa. "Prediction of Radial Bending Strength by Cortical Porosity and Diameter." Undergraduate thesis, Ohio University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors149278795178393
Chicago Manual of Style (17th edition)
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Document number:
ouhonors149278795178393
Download Count:
214
Copyright Info
© 2017, all rights reserved.
This open access ETD is published by Ohio University Honors Tutorial College and OhioLINK.