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1.
Phys Biol ; 11(5): 056007, 2014 Sep 15.
Article in English | MEDLINE | ID: mdl-25222943

ABSTRACT

Cell clustering and scattering play important roles in cancer progression and tissue engineering. While the extracellular matrix (ECM) is known to control cell clustering, much of the quantitative work has focused on the analysis of clustering between cells with strong cell-cell junctions. Much less is known about how the ECM regulates cells with weak cell-cell contact. Clustering characteristics were quantified in rat adenocarcinoma cells, which form clusters on physically adsorbed collagen substrates, but not on covalently attached collagen substrates. Covalently attaching collagen inhibited desorption of collagen from the surface. While changes in proliferation rate could not explain differences seen in the clustering, changes in cell motility could. Cells plated under conditions that resulted in more clustering had a lower persistence time and slower migration rate than those under conditions that resulted in less clustering. Understanding how the ECM regulates clustering will not only impact the fundamental understanding of cancer progression, but also will guide the design of tissue engineered constructs that allow for the clustering or dissemination of cells throughout the construct.


Subject(s)
Cell Movement , Collagen/metabolism , Extracellular Matrix/metabolism , Animals , Cell Adhesion , Cell Line, Tumor , Rats
2.
Med Image Comput Comput Assist Interv ; 12(Pt 2): 275-82, 2009.
Article in English | MEDLINE | ID: mdl-20426122

ABSTRACT

We have developed a system for computer-assisted surgical planning of tracheal surgeries. The system allows to plan the intervention based on CT images of the patient, and includes a virtual database of commercially available prostheses. Automatic segmentation of the trachea and apparent pathological structures is obtained using a modified region growing algorithm. A method for automatic adaptation of a finite element mesh allows to build a patient-specific biomechanical model for simulation of the expected performance of the implant under physiological movement (swallowing, sneezing). Laboratory experiments were performed to characterise the tissues present in the trachea, and movement models were obtained from fluoroscopic images of a patient. Results are reported on the planning and biomechanical simulation of two patients that underwent surgery at our hospital.


Subject(s)
Models, Biological , Prostheses and Implants , Surgery, Computer-Assisted/methods , Trachea/physiopathology , Trachea/surgery , Computer Simulation , Humans , Preoperative Care/methods
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