Computer determination of perfusion patterns in pulmonary capillary networks.
Individual pulmonary capillaries are not steadily perfused. By using in vivo microscopy, it can readily be demonstrated that perfusion continually switches between capillary segments and between portions of the network within a single alveolar wall. These changes in capillary perfusion occur even when upstream pressure and flow are constant. Flow switching between capillary segments in the absence of hemodynamic changes in large upstream vessels suggests that capillary perfusion patterns could be random. To calculate the probability that perfusion patterns could occur by chance, it is necessary to know the total number of possible perfusion patterns in a given capillary network. We developed a computer program that can determine every possible perfusion pattern for any given capillary network, and from that information we can calculate whether perfusion of individual segments in the network is random. With the results of the computer program, we have obtained statistical evidence that some capillary segments in a network are nonrandomly perfused.
Hanger
C C
CC
Department of Anesthesia, Indiana University School of Medicine, Indianapolis 46202, USA.
Presson
R G
RG
Okada
O
O
Janke
S J
SJ
Watkins
J J
JJ
Wagner
W W
WW
Capen
R L
RL
D000818:Animals; D001794:Blood Pressure / Q000502:physiology; D002196:Capillaries / Q000502:physiology; D003198:Computer Simulation; D004285:Dogs; D066298:In Vitro Techniques; D008954:Models, Biological; D009010:Monte Carlo Method; D010477:Perfusion; D011650:Pulmonary Alveoli / Q000502:physiology; D011652:Pulmonary Circulation / Q000502:physiology*; D011897:Random Allocation; D014743:Videotape Recording