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Comparison of Generated Parallel Capillary Arrays to Three‐Dimensional Reconstructed Capillary Networks in Modeling Oxygen Transport in Discrete Microvascular Volumes
Author(s) -
Fraser Graham M.,
Goldman Daniel,
Ellis Christopher G.
Publication year - 2013
Publication title -
microcirculation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.793
H-Index - 83
eISSN - 1549-8719
pISSN - 1073-9688
DOI - 10.1111/micc.12075
Subject(s) - oxygen transport , chemistry , capillary action , intravital microscopy , blood flow , hemodynamics , biomedical engineering , microcirculation , ischemia , oxygen , materials science , cardiology , medicine , organic chemistry , composite material
Objective We compare RMN to PCA under several simulated physiological conditions to determine how the use of different vascular geometry affects oxygen transport solutions. Methods Three discrete networks were reconstructed from intravital video microscopy of rat skeletal muscle (84 × 168 × 342 μm, 70 × 157 × 268 μm, and 65 × 240 × 571 μm), and hemodynamic measurements were made in individual capillaries. PCA s were created based on statistical measurements from RMN s. Blood flow and O 2 transport models were applied, and the resulting solutions for RMN and PCA models were compared under four conditions (rest, exercise, ischemia, and hypoxia). Results Predicted tissue PO 2 was consistently lower in all RMN simulations compared to the paired PCA . PO 2 for 3D reconstructions at rest were 28.2 ± 4.8, 28.1 ± 3.5, and 33.0 ± 4.5 mmHg for networks I, II, and III compared to the PCA mean values of 31.2 ± 4.5, 30.6 ± 3.4, and 33.8 ± 4.6 mmHg. Simulated exercise yielded mean tissue PO 2 in the RMN of 10.1 ± 5.4, 12.6 ± 5.7, and 19.7 ± 5.7 mmHg compared to 15.3 ± 7.3, 18.8 ± 5.3, and 21.7 ± 6.0 in PCA . Conclusions These findings suggest that volume matched PCA yield different results compared to reconstructed microvascular geometries when applied to O 2 transport modeling; the predominant characteristic of this difference being an over estimate of mean tissue PO 2 . Despite this limitation, PCA models remain important for theoretical studies as they produce PO 2 distributions with similar shape and parameter dependence as RMN .