David Agus sent word that there will be a special Halloween / Ramone’s Benefit for our cancer research center. The proceeds will benefit the Westside Cancer Center and the Center for Applied Molecular Medicine.
Drop in if you’re in the Los Angeles area–it should be a lot of fun, and the proceeds will help our research towards patient-calibrated cancer modeling!
- We used my agent model calibration technique, plus a volume-averaging upscaling to calibrate a simplified continuum model of DCIS growth in the breast.
- We used the steady-state approximation of the continuum model to estimate the DCIS volume.
- We applied this technique to 17 cases and found a very good match in predicted vs. pathology volume in 14 of 17 cases.
- We also found that the model was a much better predictor of volume than mammographic estimates (although this can vary with how the mammography is processed).
- We found that the mathematical theory predicted that a single variable A–a ratio of the apoptotic index, the proliferative index, and the estimated intraductal oxygenation–is a better predictor of tumor volume than grade, PI, or AI alone.
Edit on Sept. 8, 2011 at 11:22 am PDT:
Preprint is now online: