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1.
Cell Prolif ; 29(6): 269-88, 1996 Jun.
Article in English | MEDLINE | ID: mdl-8809120

ABSTRACT

We have developed a mathematical model based on proliferation and infiltration of neoplastic cells that allows predictions to be made concerning the life expectancies following various extents of surgical resection of gliomas of all grades of malignancy. The key model parameters are the growth rate and the diffusion rate. These rates were initially derived from analysis of a case of recurrent anaplastic astrocytoma treated by chemotherapies. Numerical simulations allow us to estimate what would have happened to that patient if various extents of surgical resection, rather than chemotherapies, had been used. In each case, the shell of the infiltrating tumour that remains after 'gross total removal' or even a maximal excision continues to grow and regenerates the tumour mass remarkably rapidly. By developing a model that allows the growth and diffusion rates to define the distribution of cells at the time of diagnosis, and then varying these rates by about 50%, we created a hypothetical tumour patient population whose survival times show good agreement with the results recently reported by Kreth for treatments of glioblastomas. Tenfold decreases in the rates of growth and diffusion mimic the results reported by many other investigators with more slowly growing gliomas. Thus, the model quantitatively supports the ideas that (i) gliomas infiltrate so diffusely that they cannot be cured by resection alone, surgical or radiological, no matter how extensive that may be; (ii) the more extensive the resection, regardless of the degree of malignancy of the glioma, the greater the life expectancy; and (iii) measurements of the two rates, growth and diffusion, may be able to predict survival rates better than the current histological estimates of the type and grade of gliomas.


Subject(s)
Glioma/pathology , Glioma/surgery , Models, Biological , Cell Division/physiology , Humans , Image Processing, Computer-Assisted , Recurrence , Surgical Procedures, Operative/methods , Survival Analysis
2.
Biophys J ; 68(5): 2181-9, 1995 May.
Article in English | MEDLINE | ID: mdl-7612862

ABSTRACT

We present experimental results on the bacterium Salmonella typhimurium which show that cells of chemotactic strains aggregate in response to gradients of amino acids, attractants that they themselves excrete. Depending on the conditions under which cells are cultured, they form periodic arrays of continuous or perforated rings, which arise sequentially within a spreading bacterial lawn. Based on these experiments, we develop a biologically realistic cell-chemotaxis model to describe the self-organization of bacteria. Numerical and analytical investigations of the model mechanism show how the two types of observed geometric patterns can be generated by the interaction of the cells with chemoattractant they produce.


Subject(s)
Chemotaxis , Models, Biological , Salmonella typhimurium/physiology , Amino Acids/pharmacology , Chemotactic Factors/pharmacology , Chemotaxis/drug effects , Mathematics , Salmonella typhimurium/growth & development , Time Factors
3.
Cell Prolif ; 28(1): 17-31, 1995 Jan.
Article in English | MEDLINE | ID: mdl-7833383

ABSTRACT

During the past two decades computerized tomography (CT) and magnetic resonance imaging (MRI) have permitted the detection of tumours at much earlier stages in their development than was previously possible. In spite of this earlier diagnosis the effects of earlier and more extensive treatments have been difficult to document. This failure has led to an increasing awareness of the importance of infiltration of glioma cells into surrounding grossly normal brain tissue such that recurrence still occurs. In this paper a simple mathematical model for the proliferation and infiltration of such tumours is introduced, based in part on quantitative image analysis of histological sections of a human brain glioma and especially on cross-sectional area/volume measurements of serial CT images while the patient was undergoing chemotherapy. The model parameters were estimated using optimization techniques to give the best fit of the simulated tumour area to the CT scan data. Numerical solution of the model on a two-dimensional domain, which took into account the geometry of the brain and its natural barriers to diffusion, was used to determine the effect of chemotherapy on the spatio-temporal growth of the tumour.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Brain Neoplasms/drug therapy , Brain Neoplasms/pathology , Glioblastoma/drug therapy , Glioblastoma/pathology , Neoplasm Recurrence, Local/drug therapy , Brain Neoplasms/radiotherapy , Cell Division/drug effects , Cell Division/physiology , Cell Division/radiation effects , Chemotherapy, Adjuvant , Follow-Up Studies , Glioblastoma/radiotherapy , Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Models, Biological , Neoplasm Recurrence, Local/pathology , Tomography, X-Ray Computed
4.
Avian Dis ; 29(4): 1004-11, 1985.
Article in English | MEDLINE | ID: mdl-3914269

ABSTRACT

Competitive exclusion of salmonella by native gut microflora was studied in 24 groups of 100 chickens each started in thoroughly cleaned and sanitized isolation facilities. During 53-day test periods, infection by both Salmonella infantis and S. typhimurium was greatly restricted in groups previously treated with native microflora compared with control groups. Feed and water starvation for 48 hours starting at either 23 or 51 days did not affect the incidence of infection in protected groups. The protective flora spread readily to adjacent untreated groups; infected groups given the protective flora at 11 days exhibited a more rapid elimination of infection than untreated control groups.


Subject(s)
Poultry Diseases/prevention & control , Salmonella Infections, Animal/prevention & control , Animals , Chickens , Intestines/microbiology , Poultry Diseases/microbiology , Reference Values , Salmonella Infections, Animal/microbiology , Salmonella typhimurium
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