The biological response of living arteries to mechanical forces is an important component of the atherosclerotic process and is responsible, at least in part, for the well-recognized spatial variation in atherosusceptibility in man. Experiments to elucidate this response often generate maps of force and response variables over the arterial surface, from which the force–response relationship is sought. Rowland et al. discussed several statistical approaches to the spatial autocorrelation that confounds the analysis of such maps and applied them to maps of hemodynamic stress and vascular response obtained by averaging these variables in multiple animals. Here, we point out an alternative approach, in which discrete surface regions are defined by the hemodynamic stress levels they experience, and the stress and response in each animal are treated separately. This approach, applied properly, is insensitive to autocorrelation and less sensitive to the effect of confounding hemodynamic variables. The analysis suggests an inverse relation between permeability and shear that differs from that in Rowland et al. Possible sources of this difference are suggested.
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September 2016
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Discussion: “Comparison of Statistical Methods for Assessing Spatial Correlations Between Maps of Different Arterial Properties” (Rowland, E. M., Mohamied, Y., Chooi, K. Y., Bailey, E. L., and Weinberg, P. D., 2015, ASME J. Biomech. Eng., 137(10), p. 101003): An Alternative Approach Using Segmentation Based on Local Hemodynamics
Heather A. Himburg
,
Heather A. Himburg
Division of Hematology/Oncology,
Department of Medicine,
University of California, Los Angeles,
Los Angeles, CA 90095
e-mail: hhimburg@mednet.ucla.edu
Department of Medicine,
University of California, Los Angeles,
Los Angeles, CA 90095
e-mail: hhimburg@mednet.ucla.edu
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Deborah M. Grzybowski
,
Deborah M. Grzybowski
Department of Chemical and Biomolecular Engineering,
The Ohio State University,
Columbus, OH 43210;
Department of Engineering Education,
The Ohio State University,
Columbus, OH 43210
e-mail: grzybowski.3@osu.edu
The Ohio State University,
Columbus, OH 43210;
Department of Engineering Education,
The Ohio State University,
Columbus, OH 43210
e-mail: grzybowski.3@osu.edu
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Andrew L. Hazel
,
Andrew L. Hazel
School of Mathematics,
The University of Manchester,
Manchester M13 9PL, UK
e-mail: Andrew.Hazel@manchester.ac.uk
The University of Manchester,
Manchester M13 9PL, UK
e-mail: Andrew.Hazel@manchester.ac.uk
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Jeffrey A. LaMack
,
Jeffrey A. LaMack
Department of Electrical Engineering and
Computer Science,
Milwaukee School of Engineering,
Milwaukee, WI 53202
e-mail: lamack@msoe.edu
Computer Science,
Milwaukee School of Engineering,
Milwaukee, WI 53202
e-mail: lamack@msoe.edu
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Morton H. Friedman
Morton H. Friedman
Department of Biomedical Engineering,
The George Washington University,
Washington, DC 20052;
Department of Mechanical and Aerospace Engineering,
The George Washington University,
Washington, DC 20052
e-mail: mhfriedm@gwu.edu
The George Washington University,
Washington, DC 20052;
Department of Mechanical and Aerospace Engineering,
The George Washington University,
Washington, DC 20052
e-mail: mhfriedm@gwu.edu
Search for other works by this author on:
Heather A. Himburg
Division of Hematology/Oncology,
Department of Medicine,
University of California, Los Angeles,
Los Angeles, CA 90095
e-mail: hhimburg@mednet.ucla.edu
Department of Medicine,
University of California, Los Angeles,
Los Angeles, CA 90095
e-mail: hhimburg@mednet.ucla.edu
Deborah M. Grzybowski
Department of Chemical and Biomolecular Engineering,
The Ohio State University,
Columbus, OH 43210;
Department of Engineering Education,
The Ohio State University,
Columbus, OH 43210
e-mail: grzybowski.3@osu.edu
The Ohio State University,
Columbus, OH 43210;
Department of Engineering Education,
The Ohio State University,
Columbus, OH 43210
e-mail: grzybowski.3@osu.edu
Andrew L. Hazel
School of Mathematics,
The University of Manchester,
Manchester M13 9PL, UK
e-mail: Andrew.Hazel@manchester.ac.uk
The University of Manchester,
Manchester M13 9PL, UK
e-mail: Andrew.Hazel@manchester.ac.uk
Jeffrey A. LaMack
Department of Electrical Engineering and
Computer Science,
Milwaukee School of Engineering,
Milwaukee, WI 53202
e-mail: lamack@msoe.edu
Computer Science,
Milwaukee School of Engineering,
Milwaukee, WI 53202
e-mail: lamack@msoe.edu
Morton H. Friedman
Department of Biomedical Engineering,
The George Washington University,
Washington, DC 20052;
Department of Mechanical and Aerospace Engineering,
The George Washington University,
Washington, DC 20052
e-mail: mhfriedm@gwu.edu
The George Washington University,
Washington, DC 20052;
Department of Mechanical and Aerospace Engineering,
The George Washington University,
Washington, DC 20052
e-mail: mhfriedm@gwu.edu
Manuscript received March 24, 2016; final manuscript received July 13, 2016; published online August 3, 2016. Assoc. Editor: Ender A. Finol.
J Biomech Eng. Sep 2016, 138(9): 095501 (2 pages)
Published Online: August 3, 2016
Article history
Received:
March 24, 2016
Revised:
July 13, 2016
Connected Content
Citation
Himburg, H. A., Grzybowski, D. M., Hazel, A. L., LaMack, J. A., and Friedman, M. H. (August 3, 2016). "Discussion: “Comparison of Statistical Methods for Assessing Spatial Correlations Between Maps of Different Arterial Properties” (Rowland, E. M., Mohamied, Y., Chooi, K. Y., Bailey, E. L., and Weinberg, P. D., 2015, ASME J. Biomech. Eng., 137(10), p. 101003): An Alternative Approach Using Segmentation Based on Local Hemodynamics." ASME. J Biomech Eng. September 2016; 138(9): 095501. https://doi.org/10.1115/1.4034217
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