Core - Clinical Physics and Treatment Planning

Martel, Mary K.

Abstract

The clinical physics core will provide all dosimetry, treatment planning, specialized patient treatment support and quality assurance for the research projects. It will support Project 2 through beam measurement and data acquisition through the use of water phantoms, film dosimetry, anthropomorphic phantoms and diode dosimetry. Support for projects 3 and 4 will include diode and TLD dosimetry in patients, and design and fabrication of patient set-up and treatment aid devices. It will support Project 1 by testing the software developed there for use in our treatment planning system and establishing the methodology for its effective use. Diagnostic imaging from CT, MR, PET and Spect scanning will be integrated into accurate target volume and normal tissue descriptions to aid in the work of Projects 1, 2, 3, 4. The mechanics and entry of information associated with image correlation will also be performed in this core to aid in the efforts of all four projects. As the research plans in each project progress and dosimetry techniques or treatment planning tools are developed, the personnel in this core will test and routinely use them. Quality assurance programs for all four projects will be carried out by the members of this core.

Funding Agency

• Agency: National Institute of Health (NIH)
• Institute: National Cancer Institute (NCI)
• Type: Research Program Projects (P01)
• Project #: 5P01CA059827-04
• Application #: 5209300
• Support Year: 4
• Fiscal Year: 1996

Publications

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