Abstract
In the next three chapters, we further demonstrate the integrated physical oncology approach through applications to pancreatic ductal adenocarcinoma (PDAC). We first discuss the clinical management and outcome of PDAC. We then show how we identify imaging-based physical markers as surrogates for molecular biomarkers, and develop mathematical models based on those physical markers for predicting treatment outcome.
Original language | English (US) |
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Title of host publication | An Introduction to Physical Oncology |
Subtitle of host publication | How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes |
Publisher | CRC Press |
Pages | 89-98 |
Number of pages | 10 |
ISBN (Electronic) | 9781466551367 |
ISBN (Print) | 9781466551343 |
DOIs | |
State | Published - Jan 1 2017 |
Externally published | Yes |
ASJC Scopus subject areas
- General Mathematics
- General Medicine
- General Biochemistry, Genetics and Molecular Biology
- General Physics and Astronomy