TY - JOUR
T1 - Model Study of the Pressure Build-Up during Subcutaneous Injection
AU - Thomsen, Maria
AU - Hernandez Garcia, Anier
AU - Mathiesen, Joachim
AU - Poulsen, Mette Homann
AU - Sørensen, Dan
AU - Tarnow, Lise
AU - Feidenhans'l, Robert Krarup
PY - 2014/8/14
Y1 - 2014/8/14
N2 - In this study we estimate the subcutaneous tissue counter pressure during drug infusion from a series of injections of insulin in type 2 diabetic patients using a non-invasive method. We construct a model for the pressure evolution in subcutaneous tissue based on mass continuity and the flow laws of a porous medium. For equivalent injection forces we measure the change in the infusion rate between injections in air at atmospheric pressure and in tissue. From a best fit with our model, we then determine the flow permeability as well as the bulk modulus of the tissue, estimated to be of the order 10-11- 10-10 m2 and 105 Pa, respectively. The permeability is in good agreement with reported values for adipose porcine tissue. We suggest our model as a general way to estimate the pressure build-up in tissue during subcutaneous injection.
AB - In this study we estimate the subcutaneous tissue counter pressure during drug infusion from a series of injections of insulin in type 2 diabetic patients using a non-invasive method. We construct a model for the pressure evolution in subcutaneous tissue based on mass continuity and the flow laws of a porous medium. For equivalent injection forces we measure the change in the infusion rate between injections in air at atmospheric pressure and in tissue. From a best fit with our model, we then determine the flow permeability as well as the bulk modulus of the tissue, estimated to be of the order 10-11- 10-10 m2 and 105 Pa, respectively. The permeability is in good agreement with reported values for adipose porcine tissue. We suggest our model as a general way to estimate the pressure build-up in tissue during subcutaneous injection.
U2 - 10.1371/journal.pone.0104054
DO - 10.1371/journal.pone.0104054
M3 - Journal article
C2 - 25122138
SN - 1932-6203
VL - 9
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 8
M1 - e104054
ER -