The overall objective of this program project is to improve high dose conformal radiation treatments for cancer by individualizing therapy beyond simple anatomy. The previous grant studied plan optimization, conformal dose distributions, patient related geometrical uncertainties and motion, and dose/volume tolerance boundaries for treatment limiting normal tissues while performing tumor dose escalation without increasing complications. With increasing knowledge of motion and setup uncertainty throughout treatment, and new imaging techniques leading to early predictors of response and toxicity, we now have the opportunity to optimize and individualize each patient's treatment by incorporating events throughout the treatment course. Thus, this program project will work to individualize and optimize the entire planning/delivery process for the patient. tThe first project will develop and evaluate comprehensive adaptive optimization methods, enabling optimization of plans for the entire treatment course incorporating information and events whenever they become available. The second project will study individualization of geometric and dosimetric patient models throughout the treatment course, moving from population-based geometric modeling to individualized models for adaptive treatment delivery. The third project will continue clinical studies of brain and head/neck tumors treated with dose-sculpting techniques, using chemoradiation and improved imaging studying early predictors of response. The fourth project will continue liver and lung studies using dose escalation, chemoradiation, and imaging for predictors of response. The projects are supported by Core - administrative and statistical support, Core - adaptive therapy, Core - quantitative image use, and Core - computer software support. The investigators possess a unique combination of skills and experience which will lead to successful performance of this work, with 18 years experience in clinical 3-D treatment planning, conformal therapy, and clinical studies of dose escalation and normal tissue complications.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA059827-15
Application #
7882430
Study Section
Subcommittee G - Education (NCI)
Program Officer
Deye, James
Project Start
1997-02-01
Project End
2012-06-30
Budget Start
2010-07-01
Budget End
2012-06-30
Support Year
15
Fiscal Year
2010
Total Cost
$2,628,104
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Rosen, Benjamin S; Hawkins, Peter G; Polan, Daniel F et al. (2018) Early Changes in Serial CBCT-Measured Parotid Gland Biomarkers Predict Chronic Xerostomia After Head and Neck Radiation Therapy. Int J Radiat Oncol Biol Phys 102:1319-1329
Luo, Yi; McShan, Daniel L; Matuszak, Martha M et al. (2018) A multiobjective Bayesian networks approach for joint prediction of tumor local control and radiation pneumonitis in nonsmall-cell lung cancer (NSCLC) for response-adapted radiotherapy. Med Phys :
Simeth, Josiah; Johansson, Adam; Owen, Dawn et al. (2018) Quantification of liver function by linearization of a two-compartment model of gadoxetic acid uptake using dynamic contrast-enhanced magnetic resonance imaging. NMR Biomed 31:e3913
Mendiratta-Lala, Mishal; Masch, William; Shankar, Prasad R et al. (2018) MR Imaging Evaluation of Hepatocellular Carcinoma Treated with Stereotactic Body Radiation Therapy (SBRT): Long Term Imaging Follow-Up. Int J Radiat Oncol Biol Phys :
Ohri, Nitin; Tomé, Wolfgang A; Méndez Romero, Alejandra et al. (2018) Local Control After Stereotactic Body Radiation Therapy for Liver Tumors. Int J Radiat Oncol Biol Phys :
Mendiratta-Lala, Mishal; Gu, Everett; Owen, Dawn et al. (2018) Imaging Findings Within the First 12 Months of Hepatocellular Carcinoma Treated With Stereotactic Body Radiation Therapy. Int J Radiat Oncol Biol Phys 102:1063-1069
Wang, Shulian; Campbell, Jeff; Stenmark, Matthew H et al. (2018) A model combining age, equivalent uniform dose and IL-8 may predict radiation esophagitis in patients with non-small cell lung cancer. Radiother Oncol 126:506-510
Sapir, Eli; Tao, Yebin; Schipper, Matthew J et al. (2018) Stereotactic Body Radiation Therapy as an Alternative to Transarterial Chemoembolization for Hepatocellular Carcinoma. Int J Radiat Oncol Biol Phys 100:122-130
Hawkins, Peter G; Boonstra, Philip S; Hobson, Stephen T et al. (2018) Prediction of Radiation Esophagitis in Non-Small Cell Lung Cancer Using Clinical Factors, Dosimetric Parameters, and Pretreatment Cytokine Levels. Transl Oncol 11:102-108
Sun, Yilun; Hawkins, Peter G; Bi, Nan et al. (2018) Serum MicroRNA Signature Predicts Response to High-Dose Radiation Therapy in Locally Advanced Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 100:107-114

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