2009
DOI: 10.1158/0008-5472.sabcs-1165
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Using mathematical models to understand the time dependence of the growth of ductal carcinoma in situ.

Abstract: #1165 Background: Models of cancer growth have been developed that predict tumor size and growth dynamics for invasive tumors. However, it has been difficult to model ductal carcinoma in situ (DCIS) because of the constraints introduced by its containment within the duct system.
 Materials and Methods: We have developed a spherical model of growth of solid type DCIS using chemical engineering models of reaction and diffusion in porous media to represent the spread of DCIS in the duct … Show more

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Cited by 2 publications
(2 citation statements)
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“…Specifically, a rapid growth phase (on a time scale of 2-3 months) is followed by a prolonged phase of slow growth (on a time scale of years) as tumor growth becomes hampered by diffusion gradients of cell nutrients. Using input parameters that represent a physiological range seen in DCIS tumors excised at the University of Texas MD Anderson Cancer Center, the model predicts that DCIS tumors will have reached a stationary volume within approximately three months [32]. Thus, within a year's time most of the in situ tumors will have reached their steady-state volume.…”
Section: Discussionmentioning
confidence: 99%
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“…Specifically, a rapid growth phase (on a time scale of 2-3 months) is followed by a prolonged phase of slow growth (on a time scale of years) as tumor growth becomes hampered by diffusion gradients of cell nutrients. Using input parameters that represent a physiological range seen in DCIS tumors excised at the University of Texas MD Anderson Cancer Center, the model predicts that DCIS tumors will have reached a stationary volume within approximately three months [32]. Thus, within a year's time most of the in situ tumors will have reached their steady-state volume.…”
Section: Discussionmentioning
confidence: 99%
“…Analysis [1] of the model reveals that the geometric mean of the tumor dimensions (i.e., the cube-root of the surgical volume or, as expressed in our model, the diameter 2R) reaches a (nearly) stationary value, which is set by an overall balance of mass gain from proliferation in well oxygenated areas and mass loss from cell death in hypoxic or nutrient-depleted areas. Our simulations using a range of physiological input values (as described below) show that DCIS tumors reach nearly stationary sizes following a short period of fast growth which may last as little as about two months [31,32]. Given such short growth time compared to yearly screenings by mammogram, we may expect most DCIS tumors to be near their stationary size at the time of diagnosis.…”
Section: A Mathematical Formula For Predicting the Size Of In-situ Tumentioning
confidence: 92%