Analysis of oxygen transport to tumor tissue by microvascular networks.

We present theoretical simulations of oxygen delivery to tumor tissues by networks of microvessels, based on in vivo observations of vascular geometry and blood flow in the tumor microcirculation. The aim of these studies is to investigate the impact of vascular geometry on the occurrence of tissue hypoxia. The observations were made in the tissue (thickness 200 microns) contained between two glass plates in a dorsal skin flap preparation in the rat. Mammary adenocarcinomas (R3230 AC) were introduced and allowed to grow, and networks of microvessels in the tumors were mapped, providing data on length, geometric orientation, diameter and blood velocity in each segment. Based on these data, simulations were made of a 1 mm x 1 mm region containing five unbranched vascular segments and a 0.25 mm x 0.35 mm region containing 22 segments. Generally, vessels were assumed to lie in the plane midway between the glass plates, at 100 microns depth. Flow rates in the vessels were based on measured velocities and diameters. The assumed rate of oxygen consumption in the tissue was varied over a range of values. Using a Green's function method, partial pressure of oxygen (PO2) was computed at each point in the tissue region. As oxygen consumption is increased, tissue PO2 falls, with hypoxia first appearing at points relatively distant from the nearest blood vessel. The width of the well-oxygenated region is comparable to that predicted by simpler analyses. Cumulative frequency distributions of tissue PO2 were compared with predictions of a Krogh-type model with the same vascular densities, and it was found that the latter approach, which assumes a uniform spacing of vessels, may underestimate the extent of the hypoxic tissue. Our estimates of the maximum consumption rate that can be sustained without tissue hypoxia were substantially lower than those obtained from the Krogh-type model. We conclude that the heterogeneous structure of tumor microcirculation can have a substantial effect on the occurrence of hypoxic micro-regions.

[1]  R. Sutherland,et al.  Mathematical modelling of oxygen supply and oxygenation in tumor tissues: prognostic, therapeutic, and experimental implications. , 1988, International journal of radiation oncology, biology, physics.

[2]  L. H. Gray,et al.  Determination of the oxyhaemoglobin dissociation curves for mouse and rat blood , 1964, The Journal of physiology.

[3]  W. Mueller‐Klieser,et al.  Method for the determination of oxygen consumption rates and diffusion coefficients in multicellular spheroids. , 1984, Biophysical journal.

[4]  M. Dewhirst,et al.  Perivascular oxygen tensions in a transplantable mammary tumor growing in a dorsal flap window chamber. , 1992, Radiation research.

[5]  J. Gross,et al.  A transparent access chamber for the rat dorsal skin fold. , 1979, Microvascular research.

[6]  J F Gross,et al.  Morphologic and hemodynamic comparison of tumor and healing normal tissue microvasculature. , 1989, International journal of radiation oncology, biology, physics.

[7]  R. Sutherland,et al.  Theoretical evaluation of expected changes in oxygenation of tumors associated with different hemoglobin levels. , 1986, International journal of radiation oncology, biology, physics.

[8]  G. Froese,et al.  The respiration of ascites tumour cells at low oxygen concentrations. , 1962, Biochimica et biophysica acta.

[9]  T. Secomb,et al.  A Green's function method for analysis of oxygen delivery to tissue by microvascular networks. , 1989, Mathematical biosciences.

[10]  G. Rosner,et al.  A comparison of tumor and normal tissue microvascular hematocrits and red cell fluxes in a rat window chamber model. , 1993, International journal of radiation oncology, biology, physics.

[11]  P. Okunieff,et al.  Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: a review. , 1989, Cancer research.

[12]  P Vaupel,et al.  Evaluation of oxygen diffusion distances in human breast cancer xenografts using tumor-specific in vivo data: role of various mechanisms in the development of tumor hypoxia. , 1988, International journal of radiation oncology, biology, physics.