{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/92669"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/92669","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Predicting peak load of the femoral neck using structural parameters","abstract":"The current clinical standard for diagnosing osteoporosis uses measurements of bone mineral density (BMD) by dual energy X-ray absorptiometry (DXA). This measurement only partially explains the strength of bones and fails to incorporate other factors that alter bone quality. The aim of this study was to investigate how micro and macro cortical bone structures along the length of the femoral neck relate to the peak load of the proximal femur. Structural measurements were taken from microCT images of ten murine right femurs at ten locations along the femoral neck. These specimens were then tested to failure. The major diameter, minor diameter, cortical thickness, cross sectional area, cortical area, and cortical fraction were measured and correlated to the peak compressive load. The highest significant correlation was found using major diameter (R2 = 0.6) or cross sectional area (R2 = 0.59). Significant correlations for the major diameter were found between 40% - 60% along the femoral neck, while cross sectional area had significant correlations between 40% - 80% of the femoral neck. By combining major diameter and cortical area in a multivariable regression, R2 improved to 0.66. Understanding the contribution of cortical structure to peak load will allow for improved characterization of bone properties in both healthy and diseased bone, and provide indices for targeted imaging to better diagnosis osteoporosis.","abstract_html":"The current clinical standard for diagnosing osteoporosis uses measurements of bone mineral density (BMD) by dual energy X-ray absorptiometry (DXA). This measurement only partially explains the strength of bones and fails to incorporate other factors that alter bone quality. The aim of this study was to investigate how micro and macro cortical bone structures along the length of the femoral neck relate to the peak load of the proximal femur. Structural measurements were taken from microCT images of ten murine right femurs at ten locations along the femoral neck. These specimens were then tested to failure. The major diameter, minor diameter, cortical thickness, cross sectional area, cortical area, and cortical fraction were measured and correlated to the peak compressive load. The highest significant correlation was found using major diameter (R2 = 0.6) or cross sectional area (R2 = 0.59). Significant correlations for the major diameter were found between 40% - 60% along the femoral neck, while cross sectional area had significant correlations between 40% - 80% of the femoral neck. By combining major diameter and cortical area in a multivariable regression, R2 improved to 0.66. Understanding the contribution of cortical structure to peak load will allow for improved characterization of bone properties in both healthy and diseased bone, and provide indices for targeted imaging to better diagnosis osteoporosis.","abstract_has_math":false,"creators":["Currier, Eric J"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Kersh, Mariana"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-11-10T17:49:12Z","date_published":"2016-11-10T17:49:12Z","updated_at":"2026-07-22T22:26:35Z","subjects":["Osteoporosis","Femoral Neck","Cortical Bone","microCT","Bone Quality"],"languages":["en"],"rights":["Copyright 2016 Eric Currier"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/92669","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kersh, Mariana"]},{"key":"dc:creator","label":"Author","values":["Currier, Eric J"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-11-10T17:49:12Z","2016-07-21","2016-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Osteoporosis","Femoral Neck","Cortical Bone","microCT","Bone Quality"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Eric Currier"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/92669"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The current clinical standard for diagnosing osteoporosis uses measurements of bone mineral density (BMD) by dual energy X-ray absorptiometry (DXA). This measurement only partially explains the strength of bones and fails to incorporate other factors that alter bone quality. The aim of this study was to investigate how micro and macro cortical bone structures along the length of the femoral neck relate to the peak load of the proximal femur. Structural measurements were taken from microCT images of ten murine right femurs at ten locations along the femoral neck. These specimens were then tested to failure. The major diameter, minor diameter, cortical thickness, cross sectional area, cortical area, and cortical fraction were measured and correlated to the peak compressive load. The highest significant correlation was found using major diameter (R2 = 0.6) or cross sectional area (R2 = 0.59). Significant correlations for the major diameter were found between 40% - 60% along the femoral neck, while cross sectional area had significant correlations between 40% - 80% of the femoral neck. By combining major diameter and cortical area in a multivariable regression, R2 improved to 0.66. Understanding the contribution of cortical structure to peak load will allow for improved characterization of bone properties in both healthy and diseased bone, and provide indices for targeted imaging to better diagnosis osteoporosis.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, Eric Currier, accepted the attached license on 2016-07-21 at 01:03.","The student, Eric Currier, submitted this Thesis for approval on 2016-07-21 at 01:12.","This Thesis was approved for publication on 2016-07-21 at 09:18.","DSpace SAF Submission Ingestion Package generated from Vireo submission #10049 on 2016-11-09 at 10:25:59","Made available in DSpace on 2016-11-10T17:49:12Z (GMT). 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The aim of this study was to investigate how micro and macro cortical bone structures along the length of the femoral neck relate to the peak load of the proximal femur. Structural measurements were taken from microCT images of ten murine right femurs at ten locations along the femoral neck. These specimens were then tested to failure. The major diameter, minor diameter, cortical thickness, cross sectional area, cortical area, and cortical fraction were measured and correlated to the peak compressive load. The highest significant correlation was found using major diameter (R2 = 0.6) or cross sectional area (R2 = 0.59). Significant correlations for the major diameter were found between 40% - 60% along the femoral neck, while cross sectional area had significant correlations between 40% - 80% of the femoral neck. By combining major diameter and cortical area in a multivariable regression, R2 improved to 0.66. Understanding the contribution of cortical structure to peak load will allow for improved characterization of bone properties in both healthy and diseased bone, and provide indices for targeted imaging to better diagnosis osteoporosis.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, Eric Currier, accepted the attached license on 2016-07-21 at 01:03.","The student, Eric Currier, submitted this Thesis for approval on 2016-07-21 at 01:12.","This Thesis was approved for publication on 2016-07-21 at 09:18.","DSpace SAF Submission Ingestion Package generated from Vireo submission #10049 on 2016-11-09 at 10:25:59","Made available in DSpace on 2016-11-10T17:49:12Z (GMT). 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