Literature DB >> 23108729

A mixture theory model of fluid and solute transport in the microvasculature of normal and malignant tissues. II: Factor sensitivity analysis, calibration, and validation.

M M Schuff1, J P Gore, E A Nauman.   

Abstract

The treatment of cancerous tumors is dependent upon the delivery of therapeutics through the blood by means of the microcirculation. Differences in the vasculature of normal and malignant tissues have been recognized, but it is not fully understood how these differences affect transport and the applicability of existing mathematical models has been questioned at the microscale due to the complex rheology of blood and fluid exchange with the tissue. In addition to determining an appropriate set of governing equations it is necessary to specify appropriate model parameters based on physiological data. To this end, a two stage sensitivity analysis is described which makes it possible to determine the set of parameters most important to the model's calibration. In the first stage, the fluid flow equations are examined and a sensitivity analysis is used to evaluate the importance of 11 different model parameters. Of these, only four substantially influence the intravascular axial flow providing a tractable set that could be calibrated using red blood cell velocity data from the literature. The second stage also utilizes a sensitivity analysis to evaluate the importance of 14 model parameters on extravascular flux. Of these, six exhibit high sensitivity and are integrated into the model calibration using a response surface methodology and experimental intra- and extravascular accumulation data from the literature (Dreher et al. in J Natl Cancer Inst 98(5):335-344, 2006). The model exhibits good agreement with the experimental results for both the mean extravascular concentration and the penetration depth as a function of time for inert dextran over a wide range of molecular weights.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23108729     DOI: 10.1007/s00285-012-0544-7

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  106 in total

1.  Change in shear stress (Deltatau)/hydraulic conductivity (Lp) relationship after pronase treatment of individual capillaries in situ.

Authors:  Donna A Williams
Journal:  Microvasc Res       Date:  2006-10-09       Impact factor: 3.514

Review 2.  A mathematical model of interstitial transport. I. Theory.

Authors:  D G Taylor; J L Bert; B D Bowen
Journal:  Microvasc Res       Date:  1990-05       Impact factor: 3.514

3.  A densitometric method for determining the filtration coefficients of single capillaries in the frog mesentery.

Authors:  J R Levick; C C Michel
Journal:  Microvasc Res       Date:  1977-03       Impact factor: 3.514

4.  Microvascular permeability of normal and neoplastic tissues.

Authors:  L E Gerlowski; R K Jain
Journal:  Microvasc Res       Date:  1986-05       Impact factor: 3.514

5.  Flow-dependent rheological properties of blood in capillaries.

Authors:  T W Secomb
Journal:  Microvasc Res       Date:  1987-07       Impact factor: 3.514

6.  Erythrocyte flow and elasticity of microvessels evaluated by marginal cell-free layer and flow resistance.

Authors:  N Maeda; Y Suzuki; J Tanaka; N Tateishi
Journal:  Am J Physiol       Date:  1996-12

7.  Interstitial pressure gradients in tissue-isolated and subcutaneous tumors: implications for therapy.

Authors:  Y Boucher; L T Baxter; R K Jain
Journal:  Cancer Res       Date:  1990-08-01       Impact factor: 12.701

8.  Angiogenesis, assessed by platelet/endothelial cell adhesion molecule antibodies, as indicator of node metastases and survival in breast cancer.

Authors:  E R Horak; R Leek; N Klenk; S LeJeune; K Smith; N Stuart; M Greenall; K Stepniewska; A L Harris
Journal:  Lancet       Date:  1992-11-07       Impact factor: 79.321

9.  Microcirculatory studies in rat mammary carcinoma. I. Transparent chamber method, development of microvasculature, and pressures in tumor vessels.

Authors:  W Peters; M Teixeira; M Intaglietta; J F Gross
Journal:  J Natl Cancer Inst       Date:  1980-09       Impact factor: 13.506

10.  Cell-free plasma layer in cerebral microvessels.

Authors:  S Yamaguchi; T Yamakawa; H Niimi
Journal:  Biorheology       Date:  1992 Mar-Jun       Impact factor: 1.875

View more
  7 in total

1.  A mixture theory model of fluid and solute transport in the microvasculature of normal and malignant tissues. I. Theory.

Authors:  M M Schuff; J P Gore; E A Nauman
Journal:  J Math Biol       Date:  2012-04-13       Impact factor: 2.259

2.  Theoretical evaluation of enhanced gold nanoparticle delivery to PC3 tumors due to increased hydraulic conductivity or recovered lymphatic function after mild whole body hyperthermia.

Authors:  Manpreet Singh; Ronghui Ma; Liang Zhu
Journal:  Med Biol Eng Comput       Date:  2021-01-11       Impact factor: 2.602

3.  A computational study of cancer hyperthermia based on vascular magnetic nanoconstructs.

Authors:  Mahdi Nabil; Paolo Zunino
Journal:  R Soc Open Sci       Date:  2016-09-14       Impact factor: 2.963

4.  Mixture theory modeling for characterizing solute transport in breast tumor tissues.

Authors:  Sreyashi Chakraborty; Alican Ozkan; Marissa Nichole Rylander; Wendy A Woodward; Pavlos Vlachos
Journal:  J Biol Eng       Date:  2019-05-29       Impact factor: 4.355

5.  Factors affecting peak impact force during soccer headers and implications for the mitigation of head injuries.

Authors:  Joshua Auger; Justin Markel; Dimitri D Pecoski; Nicolas Leiva-Molano; Thomas M Talavage; Larry Leverenz; Francis Shen; Eric A Nauman
Journal:  PLoS One       Date:  2020-10-16       Impact factor: 3.240

6.  Effect of Particle Size and Surface Charge on Nanoparticles Diffusion in the Brain White Matter.

Authors:  Tian Yuan; Ling Gao; Wenbo Zhan; Daniele Dini
Journal:  Pharm Res       Date:  2022-03-21       Impact factor: 4.580

7.  A model for designing intraocular pressure-regulating glaucoma implants.

Authors:  Inês C F Pereira; Hans M Wyss; Leonard Pinchuk; Henny J M Beckers; Jaap M J den Toonder
Journal:  PLoS One       Date:  2022-09-02       Impact factor: 3.752

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.