In our previous research we developed highly conformal radiation treatment for head/neck and brain tumors using? sculpted dose distributions and demonstrated the ability to escalate tumor dose with minimal complications? (brain), and maintain high control rates while decreasing a major complication (xerostomia) for head/neck cancers.? Our long-term goal is to increase tumor control and reduce complication rates by individualizing the timing and? intensity of therapy based on innovative imaging. We propose to intensify treatment for glioblastoma by escalating? the daily fraction doses while also utilizing effective chemotherapy (temozolomide). We will test the hypothesis? that diffusion MRI (dMRI), which may predict tumor response early after therapy is started, will be a useful basis? for re-optimization during the course of treatment, allowing the escalation of dose to non-responding parts of the? tumor. We will also make use of our preliminary MRI results which suggest that radiation can open the bloodtumor-? barrier (BTB) to chemotherapeutic and radiosensitizing agents (like gemitabine). We will test whether? concurrent conformal radiation and gemcitabine (administered after the BTB is opened) will be safer and improve? response rates for grade 3 gliomas, and whether we can improve the outcome by escalating the doses to the parts of? the tumor demonstrating lack of increased permeability of the BTB early after the start of therapy. In head and? neck cancer, we will test strategies that promise to decrease treatment-related late dysphagia and aspiration. We? will test if reducing dose to the swallowing structures can reduce the severity of late dysphagia, and test the utility of? innovative imaging (FLT-PET, and dMRI) to predict (early after the start of therapy) which tumors are likely to fail? treatment, as well as directing individualized dose intensification using re-optimization plans. We expect that? the Project will show improving non-complicated tumor control rates in brain and head and neck cancer by? customizing treatment intensity following analysis of possible early predictors of response.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA059827-13
Application #
7658878
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2008-07-01
Budget End
2009-06-30
Support Year
13
Fiscal Year
2008
Total Cost
$332,796
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Johansson, Adam; Balter, James M; Cao, Yue (2018) Abdominal DCE-MRI reconstruction with deformable motion correction for liver perfusion quantification. Med Phys 45:4529-4540
Tseng, Huan-Hsin; Luo, Yi; Ten Haken, Randall K et al. (2018) The Role of Machine Learning in Knowledge-Based Response-Adapted Radiotherapy. Front Oncol 8:266
Jochems, Arthur; El-Naqa, Issam; Kessler, Marc et al. (2018) A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy. Acta Oncol 57:226-230
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

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