John G. Skedros

Dr. John G. Skedros


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2013 in Journal of Structural Biology
Verified
Journal Article
Closed access
JSJohn G. Skedros
John G. Skedros
KKKendra E. Keenan
Kendra E. Keenan
TWTyler J. Williams
Tyler J. Williams
CKCasey J. Kiser
Casey J. Kiser

30 April 2013 in American Journal of Physical Anthropology
Verified
Journal Article
Closed access
PDF file
JSJohn G. Skedros
John G. Skedros
AKAlex N. Knight
Alex N. Knight
GCGunnar C. Clark
Gunnar C. Clark
CCChristian M. Crowder
Christian M. Crowder
VDVictoria M. Dominguez
Victoria M. Dominguez
SSScott M. Sorenson
Scott M. Sorenson

25 January 2017 in American Journal of Physical Anthropology
Verified
Journal Article
Closed access
PDF file
KKKendra E. Keenan
Kendra E. Keenan
CMChad S. Mears
Chad S. Mears
JSJohn G. Skedros
John G. Skedros

27 July 2015 in Journal of Orthopaedic Research
Verified
Journal Article
Open access
PDF file
JSJohn G. Skedros
John G. Skedros
AKAlex N. Knight
Alex N. Knight
TPTodd C. Pitts
Todd C. Pitts
POPeter J. O'ROurke
Peter J. O'ROurke
WBWayne Z. Burkhead
Wayne Z. Burkhead
Methods are needed for identifying poorer quality cadaver proximal humeri to ensure that they are not disproportionately segregated into experimental groups for fracture studies. We hypothesized that measurements made from radiographs of cadaveric proximal humeri are stronger predictors of fracture strength than chronological age or bone density values derived from dual‐energy x‐ray absorptiometry (DXA) scans. Thirty‐three proximal humeri (range: 39–78 years) were analyzed for: (1) bone mineral density (BMD, g/cm2) using DXA, (2) bulk density (g/cm3) using DXA and volume displacement, (3) regional bone density in millimeters of aluminum (mmAl) using radiographs, and (4) regional mean (medial+lateral) cortical thickness and cortical index (CI) using radiographs. The bones were then fractured simulating a fall. Strongest correlations with ultimate fracture load (UFL) were: mean cortical thickness at two diaphyseal locations (r = 0.71; p < 0.001), and mean mmAl in the humeral head (r = 0.70; p < 0.001). Weaker correlations were found between UFL and DXA‐BMD (r = 0.60), bulk density (r = 0.43), CI (r = 0.61), and age (r = −0.65) (p values 0.80, but none included DXA‐derived density, CI, or age. Radiographic morphometric and densitometric measurements from radiographs are therefore stronger predictors of UFL than age, CI, or DXA‐derived density measurements. © 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 34:331–341, 2016.


1 August 2014 in Journal of Structural Biology
Verified
Journal Article
Closed access
JSJohn G. Skedros
John G. Skedros
KKKendra E. Keenan
Kendra E. Keenan
DCDavid M.L. Cooper
David M.L. Cooper
RBRoy D. Bloebaum
Roy D. Bloebaum