Abstract
Pancreas cancer is an aggressive and fatal disease that will become one of the leading causes of cancer mortality by 2030. An all-out effort is underway to better understand the basic biologic mechanisms of this disease ranging from early development to metastatic disease. In order to change the course of this disease, diagnostic radiology imaging may play a vital role in providing a precise, noninvasive method for early diagnosis and assessment of treatment response. Recent progress in combining medical imaging, advanced image analysis and artificial intelligence, termed radiomics, can offer an innovate approach in detecting the earliest changes of tumor development as well as a rapid method for the detection of response. In this chapter, we introduce the principles of radiomics and demonstrate how it can provide additional information into tumor biology, early detection, and response assessments advancing the goals of precision imaging to deliver the right treatment to the right person at the right time.
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Acknowledgements
The authors would like to acknowledge the generous support of the following Foundations and Granting Agencies: Marley Foundation and NCI U01 grant for early detection of pancreas program at the participating institutions; Virginia G Piper Foundation at HonorHealth for RaDAR program; Senna Magovitz Foundation; SU2C. We would also like to acknowledge Drs. Daniel D. von Hoff M.D. and Haiyang Han Ph.D. for their careful reading of the chapter and to all of the patients and families who have been true warriors in the march toward conquering this disease.
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Korn, R.L., Rahmanuddin, S., Borazanci, E. (2019). Use of Precision Imaging in the Evaluation of Pancreas Cancer. In: Von Hoff, D., Han, H. (eds) Precision Medicine in Cancer Therapy . Cancer Treatment and Research, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-030-16391-4_8
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